{ "count" : 26242, "data" : [ { "id" : "6a2a7d0a74d8ee00a0666915", "title" : "AI Enablement Engineer", "company" : "TENEX", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Enablement Engineer in Kansas City, adjusted for the cybersecurity industry and company size." }, "location" : "Kansas City Metro", "locations" : [ "Kansas City Metro", "San Jose, CA", "Sarasota, FL HQ" ], "timestamp" : "2026-06-14T21:34:47.513", "fingerprint" : "9d08b85f5656373ddff3986c095bc9a114ff5287d9e0acb754e116b103540cc0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tenex/f9f63366-f8ef-4209-83b1-4957ed92453c/application", "externalId" : "f9f63366-f8ef-4209-83b1-4957ed92453c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.1001050,-94.5781416" }, { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" }, { "city" : "Sarasota", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.3365805,-82.5308545" } ], "locationText" : "Kansas City, Missouri, United States; San Jose, California, United States; Sarasota, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, REST APIs, JSON, Git, GitHub, Claude, Claude.ai, Claude Code, Claude Projects, custom skills, MCP connectors, Gemini Enterprise", "professionalSkills" : [ "Prompt engineering", "AI governance", "AI monitoring", "AI security tooling", "Change management", "Technical writing", "Internal enablement" ], "hardSkillsList" : [ "Building integrations", "Debugging auth flows", "Building lightweight services", "Protecting sensitive data", "AI risks", "Secrets management", "SDLC practices", "Compliance frameworks" ], "softSkillsList" : [ "Consultative instincts", "Self-directed", "Bias toward shipping", "Platform mindset" ], "hardSkills" : [ { "name" : "Building integrations", "level" : "intermediate" }, { "name" : "Debugging auth flows", "level" : "intermediate" }, { "name" : "Building lightweight services", "level" : "intermediate" }, { "name" : "Protecting sensitive data", "level" : "intermediate" }, { "name" : "AI risks", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "SDLC practices", "level" : "intermediate" }, { "name" : "Compliance frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative instincts" }, { "name" : "Self-directed" }, { "name" : "Bias toward shipping" }, { "name" : "Platform mindset" } ], "majorSkills" : "AI platform development, Anthropic Claude ecosystem, Integration engineering, AI enablement", "majorSkillsList" : [ "AI platform development", "Anthropic Claude ecosystem", "Integration engineering", "AI enablement" ], "coreResponsibilities" : "Build and evolve TENEX's internal AI platform, Partner with teams to surface needs, Shape our internal AI platform roadmap, Own and execute against a published roadmap, Maintain, expand, and refine our AI work companion, Build integrations between Claude and internal tools, Favor reusable patterns over one-off solutions, Run enablement sessions, Conduct training sessions, Provide documentation, Host AMAs, Perform 1:1 onboarding, Contribute to AI governance decisions, Contribute to AI monitoring decisions, Contribute to AI security tooling decisions", "teamCollaboration" : "Partner with AI Engineer; Partner with teams across TENEX; Work with CSMs; Work with finance leads; Work with recruiters; Work with executives", "projectManagementSkills" : [ "Roadmap ownership", "Predictable execution", "Visible execution" ], "domainKnowledge" : "AI-native MDR; Cybersecurity posture; AI-driven solutions; AI workflows; Prompt injection; Data leakage; Unsanctioned tool use; Output misuse", "domainList" : [ "ai-native-mdr", "cybersecurity-posture", "ai-driven-solutions", "ai-workflows", "prompt-injection", "data-leakage", "unsanctioned-tool-use", "output-misuse" ], "domainSpecificKnowledge" : [ "AI-native MDR", "Cybersecurity posture", "AI-driven solutions", "AI workflows", "Prompt injection", "Data leakage", "Unsanctioned tool use", "Output misuse" ], "toolProficiency" : [ "Claude.ai", "Claude Code", "Claude Projects", "MCP connectors", "Ashby", "Wonderlic", "Fireflies", "Asana", "Google Chat", "Git", "GitHub" ], "communicationSkills" : "Presenting to groups; Written communication", "documentationSkills" : "Documentation writing", "problemSolvingSkills" : "Translate workflow into AI help; Abstract common patterns", "specialRequirements" : "Monday through Thursday onsite, WFH Friday", "outcomesObjectives" : "Ship against roadmap predictably; Scale AI impact across every team; Help every TENEX'er do their best work; Make TENEX faster, smarter, more leveraged", "qualificationsBasic" : "5+ years of experience in software development, Comfortable working across the integration surface, Familiarity with version control (Git/GitHub), Demonstrated ability to design and build for reuse, Demonstrated production experience working with sensitive data, Familiarity with AI-specific security risks, Working knowledge of secrets management, Working knowledge of secure SDLC practices, Working knowledge of compliance frameworks basics, Can sit with a CSM, finance lead, recruiter, or executive, Comfortable presenting to groups, Written communication skills", "qualificationsPreferred" : "Python preferred, Familiarity with Gemini Enterprise is a plus, Experience building or maintaining an internal AI platform, Hands-on experience with AI governance, Hands-on experience with AI security tooling, Hands-on experience with AI usage monitoring platforms, Experience with cybersecurity, Anthropic certifications, AI/ML certifications, Security-related credentials", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "COMPANY OVERVIEW TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape. We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside. As an AI Enablement Engineer at TENEX, you will partner with our current AI Engineer to build TENEX's internal AI platform: the reusable tools, integrations, and AI work companion that help every TENEX'er do their best work. You will partner with teams across the company to surface needs that shape our platform roadmap, then own that roadmap and ship against it predictably. This role is internal-facing. Your \"customers\" are your colleagues, and your impact is measured by how much faster, smarter, and more leveraged TENEX becomes because of the platform you build. This role is right for someone who finds satisfaction in building systems that scale beyond themselves, who would rather embed AI fluency across the company than be the only person who can do this work. Culture is one of the most important things at TENEX.AI http://TENEX.AI. Explore our culture deck at culture.tenex.ai http://culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work. Location: This role will require Monday through Thursday onsite in our Kansas City office (preferred), with San Jose or Sarasota, FL also considered. WFH Friday. Candidates must live in or be willing to relocate to one of these three cities. JOB RESPONSIBILITIES - Build and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills, Claude Projects, integrations, and department-specific specialists that scale AI impact across every team. - Partner with teams across TENEX (Sales, Customer Success, Marketing, Finance, Legal, HR, Detection Engineering, Security Operations, Forward-Deployed Engineering) to surface needs that shape our internal AI platform roadmap. - Own and execute against a published roadmap. Predictable, visible execution is a core expectation of this role. - Maintain, expand, and refine our AI work companion based on user feedback and emerging needs. - Build integrations between Claude and our internal tools (e.g., Ashby, Wonderlic, Fireflies, Asana, Google Chat) using webhooks, MCP connectors, and APIs. Favor reusable patterns over one-off solutions. - Run enablement: training sessions, documentation, AMAs, and 1:1 onboarding to help every TENEX'er become more AI-native. - Contribute to AI governance, monitoring, and security tooling decisions as TENEX scales its AI usage. REQUIRED SKILLS & QUALIFICATIONS Anthropic Claude ecosystem expertise - Has shipped real work using Anthropic's Claude products, including Claude.ai http://Claude.ai, Claude Code, Cowork, Projects, custom skills, and MCP connectors. Tutorial-level familiarity is not enough. You should be able to point to things you've built that are actually in use by other people. - Comfortable using Claude Code for technical work, including building scripts, integrations, and tooling. - Strong prompt engineering instincts and an ability to translate vague user needs into clear, scoped AI workflows. - Familiarity with Gemini Enterprise is a plus, as we also use it. Engineering fundamentals - 5+ years of experience in software development. Python is preferred. Comfort with REST APIs, webhooks, and JSON-based integrations is required. - Comfortable working across the integration surface: reading API docs, configuring webhooks, debugging auth flows, building lightweight services that connect tools together. - Familiarity with version control (Git/GitHub) and modern engineering practices. - Demonstrated ability to design and build for reuse. You see common patterns across requests and abstract them into platform capabilities rather than building one-off solutions every time. Security and data handling - Strong instincts for protecting sensitive data. You understand that internal AI workflows must be designed with strict guardrails around what data they can access, especially when customer information, employee information, or internal IP could be in scope. You build accordingly. - Demonstrated production experience working with sensitive data (PII, customer data, internal IP, or regulated data). You can speak to specific decisions you've made to protect it. - Familiarity with AI-specific security risks: prompt injection, data leakage to third-party LLMs, unsanctioned tool use, output misuse. You consider these risks proactively, not retroactively. - Working knowledge of secrets management, secure SDLC practices, and the basics of compliance frameworks (e.g., SOC 2). Communication and cross-functional skills - Can sit with a CSM, finance lead, recruiter, or executive and translate their workflow into something AI can help with, without condescension, without overengineering, and without losing patience. - Comfortable presenting to groups: running training sessions, demoing new tools at all-hands meetings, hosting AMAs. - Strong written communication. You will write documentation, policy drafts, status updates, and company-facing announcements. - Comfortable saying \"no\" or \"not yet\" when an idea isn't ready, scoped, or appropriately resourced. Nice-to-have - Experience building or maintaining an internal AI platform at another company. - Familiarity with Asana, Atlassian (Jira/Confluence), Google Chat, Google Workspace, Salesforce, Ashby, or other common B2B SaaS tools we integrate with. - Background in change management, technical writing, or internal enablement. - Experience with cybersecurity, even at a basic level, since several of our internal workflows involve our security and detection teams. - Hands-on experience with AI governance, AI security tooling, or AI usage monitoring platforms. Soft skills - Strong consultative instincts. You naturally ask \"why\" and \"what does success look like\" before building. - Curious about other people's work. Energized by helping non-technical teammates use AI effectively. - Self-directed. You will not have someone managing your daily work, and you will be expected to triage, prioritize, and execute independently. - Bias toward shipping, paired with predictable execution. We move fast, iterate, and deliver against committed timelines. - Platform mindset. You think about how to make your work multiply through other people rather than scaling only with your own time. EDUCATION & CERTIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Anthropic certifications, AI/ML certifications, or security-related credentials are a plus but not required.", "summaryDescription" : "AI Enablement Engineer at TENEX. Skills: AI platform development, Anthropic Claude ecosystem, Integration engineering, AI enablement. Build and evolve TENEX's internal AI platform. Partner with teams to surface needs", "postedDate" : "2026-06-11T21:56:24.591", "createdAt" : "2026-06-11T21:56:24.591", "lastUpdated" : "2026-06-14T21:34:47.513", "ingestTimestamp" : "2026-06-11T21:56:24.591", "mongoId" : "6a2a7d0a74d8ee00a0666915", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Building integrations", "Debugging auth flows", "Building lightweight services", "Protecting sensitive data", "AI risks", "Secrets management", "SDLC practices", "Compliance frameworks", "Consultative instincts", "Self-directed", "Bias toward shipping", "Platform mindset", "AI platform development", "Anthropic Claude ecosystem", "Integration engineering", "AI enablement", "Prompt engineering", "AI governance", "AI monitoring", "AI security tooling", "Change management", "Technical writing", "Internal enablement", "Roadmap ownership", "Predictable execution", "Visible execution", "AI-native MDR", "Cybersecurity posture", "AI-driven solutions", "AI workflows", "Prompt injection", "Data leakage", "Unsanctioned tool use", "Output misuse", "Claude.ai", "Claude Code", "Claude Projects", "MCP connectors", "Ashby", "Wonderlic", "Fireflies", "Asana", "Google Chat", "Git", "GitHub" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 892.795, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity" }, { "id" : "6a2c5e4374d8ee00a08e2953", "title" : "Staff Machine Learning Engineer, AI Applications", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Machine Learning Engineer in Warsaw, Poland, adjusted for executive seniority and the technology industry." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T00:18:26.101", "fingerprint" : "04a266b7f5cb2ee3d6b7bd6b9ad377349e7057f04032610add23c8ba789e3b9f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8559747002?gh_jid=8559747002", "externalId" : "8559747002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "AI, ML, LLM, Retrieval, Knowledge systems", "professionalSkills" : [ "Quality strategy", "Learning strategy", "Roadmap influence" ], "hardSkillsList" : [ "Applied ML", "Knowledge quality", "Retrieval quality", "Model behaviour", "Offline benchmarks", "Human review", "Online experimentation", "Production quality metrics", "Tool-use quality", "Routing behaviour", "Memory quality", "Multi-step task performance" ], "hardSkills" : [ { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Knowledge quality", "level" : "intermediate" }, { "name" : "Retrieval quality", "level" : "intermediate" }, { "name" : "Model behaviour", "level" : "intermediate" }, { "name" : "Offline benchmarks", "level" : "intermediate" }, { "name" : "Human review", "level" : "intermediate" }, { "name" : "Online experimentation", "level" : "intermediate" }, { "name" : "Production quality metrics", "level" : "intermediate" }, { "name" : "Tool-use quality", "level" : "intermediate" }, { "name" : "Routing behaviour", "level" : "intermediate" }, { "name" : "Memory quality", "level" : "intermediate" }, { "name" : "Multi-step task performance", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI Applications, Knowledge Systems, LLM Systems", "majorSkillsList" : [ "Machine Learning", "AI Applications", "Knowledge Systems", "LLM Systems" ], "coreResponsibilities" : "Lead alignment of AI system behaviour, Improve answer quality, Improve consistency, Improve grounding, Improve escalation behaviour, Build knowledge mining capabilities, Scale knowledge mining capabilities, Turn conversations into knowledge assets, Turn support tickets into knowledge assets, Turn workflows into knowledge assets, Turn policies into knowledge assets, Turn operational data into knowledge assets, Own evaluation strategy for LLM systems, Develop feedback loops, Connect production failures into prompts, Connect production failures into retrieval, Connect production failures into benchmarks, Connect production failures into model behaviour, Enable continuous improvement of automation quality, Partner with engineers on AI infrastructure, Contribute ML expertise to tool-use quality, Contribute ML expertise to routing behaviour, Contribute ML expertise to memory quality, Contribute ML expertise to multi-step task performance, Influence roadmap and technical direction, Bring clarity to trade-offs", "teamCollaboration" : "Cross-functional partners; Engineering; Product; Operations; Domain experts", "domainKnowledge" : "Conversational experiences; Knowledge-heavy domains; Policy-constrained domains; AI automation stack", "domainList" : [ "conversational-experiences", "knowledge-heavy-domains", "policy-constrained-domains", "ai-automation-stack" ], "domainSpecificKnowledge" : [ "Conversational experiences", "Knowledge-heavy domains", "Policy-constrained domains", "AI automation stack" ], "problemSolvingSkills" : "Data diving; Experiment analysis; Failure analysis", "outcomesObjectives" : "Make AI products measurably better; Ensure systems are accurate; Ensure systems are helpful; Ensure systems are grounded; Ensure systems are aligned", "qualificationsBasic" : "Hands-on experience with retrieval-augmented systems, Hands-on experience with search, Hands-on experience with ranking, Hands-on experience with knowledge-based AI applications, Experience building feedback loops, Communication skills, Stakeholder management skills", "qualificationsPreferred" : "LLM-based pipelines experience, Agentic AI systems experience, Tool use experience, Routing experience, Memory experience, Multi-step reasoning experience, Human-AI orchestration experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Staff Machine Learning Engineer, AI Applications to join Bolt’s Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt’s production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs. This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows. You will work closely with engineers and cross-functional partners building Bolt’s AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production. Main tasks and responsibilities: Lead alignment of Customer Support AI system behaviour to Bolt’s business goals, customer experience standards, and policy requirements, improving answer quality, consistency, grounding, and escalation behaviour.. Build and scale knowledge mining capabilities that turn conversations, support tickets, workflows, policies, and operational data into reusable knowledge assets and improvement signals. Own the evaluation strategy for LLM-powered customer support systems, including offline benchmarks, golden datasets, human review workflows, online experimentation, and production quality metrics. Develop feedback loops that connect production failures and human corrections back into prompts, retrieval, benchmarks, and model behaviour, enabling continuous improvement of automation quality. Partner closely with engineers working on AI application infrastructure, contributing ML expertise to areas such as tool-use quality, routing behaviour, memory quality, and multi-step task performance. Influence roadmap and technical direction across teams by bringing clarity to trade-offs in model behaviour, retrieval quality, experimentation, and business impact. We are not really looking for Node.js experts, but for cross-language engineers for whom a specific stack is just a tool to solve a problem, not the solution itself. About you: You have hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI applications, and understand what drives high-quality grounded responses. You have worked on knowledge-heavy or policy-constrained domains where correctness, consistency, and trust matter. You have experience building feedback loops from user behaviour, QA signals, annotations, or operational outcomes into system improvements. You are able to operate at both strategic and hands-on levels: defining long-term direction while also diving into data, experiments, and failure analysis. You have strong communication and stakeholder management skills, and can align engineering, product, and operations around quality strategy and trade-offs. Experience with LLM-based pipelines or agentic AI systems is a strong plus, especially in areas such as tool use, routing, memory, multi-step reasoning, or human-AI orchestration. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Staff Machine Learning Engineer, AI Applications at Bolt Technology. Skills: Machine Learning, AI Applications, Knowledge Systems, LLM Systems. Lead alignment of AI system behaviour. Improve answer quality", "postedDate" : "2026-06-12T22:22:22.230", "createdAt" : "2026-06-12T22:22:22.230", "lastUpdated" : "2026-06-15T00:18:26.101", "ingestTimestamp" : "2026-06-12T22:22:22.230", "mongoId" : "6a2c5e4374d8ee00a08e2953", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied ML", "Knowledge quality", "Retrieval quality", "Model behaviour", "Offline benchmarks", "Human review", "Online experimentation", "Production quality metrics", "Tool-use quality", "Routing behaviour", "Memory quality", "Multi-step task performance", "Machine Learning", "AI Applications", "Knowledge Systems", "LLM Systems", "Quality strategy", "Learning strategy", "Roadmap influence", "Conversational experiences", "Knowledge-heavy domains", "Policy-constrained domains", "AI automation stack" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 878.5176, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4374d8ee00a08e2954", "title" : "Staff Machine Learning Engineer, AI Applications", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 400000.0, "max" : 650000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Machine Learning Engineer in Warsaw, Poland, adjusted for executive seniority and the technology industry." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T00:14:52.226", "fingerprint" : "dc6948bf1e933d0fc489c7fb284d470b368ebecfc2cf4f25a923260968dd674f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8559759002?gh_jid=8559759002", "externalId" : "8559759002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "AI, Machine Learning, LLM, Retrieval, Knowledge systems", "professionalSkills" : [ "Quality strategy", "Learning strategy", "Roadmap influence", "Technical direction" ], "hardSkillsList" : [ "Applied ML", "Knowledge quality", "Retrieval quality", "Automation quality", "Prompt engineering", "Model behavior", "Tool-use quality", "Routing behavior", "Memory quality", "Multi-step task performance" ], "hardSkills" : [ { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Knowledge quality", "level" : "intermediate" }, { "name" : "Retrieval quality", "level" : "intermediate" }, { "name" : "Automation quality", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Model behavior", "level" : "intermediate" }, { "name" : "Tool-use quality", "level" : "intermediate" }, { "name" : "Routing behavior", "level" : "intermediate" }, { "name" : "Memory quality", "level" : "intermediate" }, { "name" : "Multi-step task performance", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI Applications, Knowledge systems, LLM systems", "majorSkillsList" : [ "Machine Learning", "AI Applications", "Knowledge systems", "LLM systems" ], "coreResponsibilities" : "Lead alignment of Customer Support AI system behavior, Improve answer quality, Improve answer consistency, Improve answer grounding, Improve escalation behavior, Build knowledge mining capabilities, Scale knowledge mining capabilities, Own evaluation strategy for LLM-powered systems, Develop feedback loops, Connect production failures to system improvements, Connect human corrections to system improvements, Partner with engineers on AI application infrastructure, Contribute ML expertise to tool-use quality, Contribute ML expertise to routing behavior, Contribute ML expertise to memory quality, Contribute ML expertise to multi-step task performance, Influence roadmap across teams, Influence technical direction across teams", "teamCollaboration" : "Cross-functional partners; Engineering teams; Product teams; Operations teams; Domain experts", "domainKnowledge" : "Conversational AI; Customer support automation; Knowledge graphs; Retrieval-augmented generation", "domainList" : [ "conversational-ai", "customer-support-automation", "knowledge-graphs", "retrieval-augmented-generation" ], "domainSpecificKnowledge" : [ "Conversational AI", "Customer support automation", "Knowledge graphs", "Retrieval-augmented generation" ], "communicationSkills" : "Stakeholder management", "problemSolvingSkills" : "Failure analysis", "outcomesObjectives" : "Improve AI automation stack quality; Improve knowledge quality and retrieval; Build feedback loops for automation improvement; Make AI products measurably better; Ensure systems are accurate; Ensure systems are helpful; Ensure systems are grounded; Ensure systems are aligned; Turn interactions into durable improvements", "qualificationsBasic" : "Hands-on experience with retrieval-augmented systems, Hands-on experience with search, Hands-on experience with ranking, Hands-on experience with knowledge-based AI applications, Experience building feedback loops, Communication skills, Stakeholder management skills", "qualificationsPreferred" : "LLM-based pipelines experience, Agentic AI systems experience, Tool use experience, Routing experience, Memory experience, Multi-step reasoning experience, Human-AI orchestration experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Staff Machine Learning Engineer, AI Applications to join Bolt’s Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt’s production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs. This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows. You will work closely with engineers and cross-functional partners building Bolt’s AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production. Main tasks and responsibilities: Lead alignment of Customer Support AI system behaviour to Bolt’s business goals, customer experience standards, and policy requirements, improving answer quality, consistency, grounding, and escalation behaviour.. Build and scale knowledge mining capabilities that turn conversations, support tickets, workflows, policies, and operational data into reusable knowledge assets and improvement signals. Own the evaluation strategy for LLM-powered customer support systems, including offline benchmarks, golden datasets, human review workflows, online experimentation, and production quality metrics. Develop feedback loops that connect production failures and human corrections back into prompts, retrieval, benchmarks, and model behaviour, enabling continuous improvement of automation quality. Partner closely with engineers working on AI application infrastructure, contributing ML expertise to areas such as tool-use quality, routing behaviour, memory quality, and multi-step task performance. Influence roadmap and technical direction across teams by bringing clarity to trade-offs in model behaviour, retrieval quality, experimentation, and business impact. We are not really looking for Node.js experts, but for cross-language engineers for whom a specific stack is just a tool to solve a problem, not the solution itself. About you: You have hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI applications, and understand what drives high-quality grounded responses. You have worked on knowledge-heavy or policy-constrained domains where correctness, consistency, and trust matter. You have experience building feedback loops from user behaviour, QA signals, annotations, or operational outcomes into system improvements. You are able to operate at both strategic and hands-on levels: defining long-term direction while also diving into data, experiments, and failure analysis. You have strong communication and stakeholder management skills, and can align engineering, product, and operations around quality strategy and trade-offs. Experience with LLM-based pipelines or agentic AI systems is a strong plus, especially in areas such as tool use, routing, memory, multi-step reasoning, or human-AI orchestration. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Staff Machine Learning Engineer, AI Applications at Bolt Technology. Skills: Machine Learning, AI Applications, Knowledge systems, LLM systems. Lead alignment of Customer Support AI system behavior. Improve answer quality", "postedDate" : "2026-06-12T21:58:57.792", "createdAt" : "2026-06-12T21:58:57.792", "lastUpdated" : "2026-06-15T00:14:52.226", "ingestTimestamp" : "2026-06-12T21:58:57.792", "mongoId" : "6a2c5e4374d8ee00a08e2954", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied ML", "Knowledge quality", "Retrieval quality", "Automation quality", "Prompt engineering", "Model behavior", "Tool-use quality", "Routing behavior", "Memory quality", "Multi-step task performance", "Machine Learning", "AI Applications", "Knowledge systems", "LLM systems", "Quality strategy", "Learning strategy", "Roadmap influence", "Technical direction", "Conversational AI", "Customer support automation", "Knowledge graphs", "Retrieval-augmented generation" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 876.0254, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4374d8ee00a08e2951", "title" : "Staff Machine Learning Engineer, AI Applications", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 520000.0, "max" : 780000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Machine Learning Engineer in Warsaw, Poland, adjusted for executive seniority and the technology industry." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T02:28:43.643", "fingerprint" : "7c4402e7f69efe1bb8b3f2cffa1915235119ec16f86565746f2bb7737adff3e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8503614002?gh_jid=8503614002", "externalId" : "8503614002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Machine Learning, AI, LLM, Retrieval, Knowledge Systems, Python", "professionalSkills" : [ "Quality strategy", "Learning strategy", "Roadmap influence", "Technical direction" ], "hardSkillsList" : [ "Applied ML", "Knowledge quality", "Retrieval quality", "Feedback loops", "Model behavior", "Prompt engineering", "Tool-use quality", "Routing behavior", "Memory quality", "Multi-step task performance", "Human-AI orchestration" ], "hardSkills" : [ { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Knowledge quality", "level" : "intermediate" }, { "name" : "Retrieval quality", "level" : "intermediate" }, { "name" : "Feedback loops", "level" : "intermediate" }, { "name" : "Model behavior", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Tool-use quality", "level" : "intermediate" }, { "name" : "Routing behavior", "level" : "intermediate" }, { "name" : "Memory quality", "level" : "intermediate" }, { "name" : "Multi-step task performance", "level" : "intermediate" }, { "name" : "Human-AI orchestration", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI Applications, Knowledge Systems, LLM Systems", "majorSkillsList" : [ "Machine Learning", "AI Applications", "Knowledge Systems", "LLM Systems" ], "coreResponsibilities" : "Lead alignment of Customer Support AI system behavior, Build knowledge mining capabilities, Scale knowledge mining capabilities, Own evaluation strategy for LLM-powered systems, Develop feedback loops, Connect production failures to system improvements, Connect human corrections to system improvements, Partner with engineers on AI application infrastructure, Contribute ML expertise to tool-use quality, Contribute ML expertise to routing behavior, Contribute ML expertise to memory quality, Contribute ML expertise to multi-step task performance, Influence roadmap across teams, Influence technical direction across teams", "teamCollaboration" : "Cross-functional partners; Engineering teams; Product teams; Operations teams; Domain experts", "domainKnowledge" : "Conversational AI; Customer support automation; Knowledge retrieval; LLM alignment; Policy requirements; Agentic AI systems", "domainList" : [ "conversational-ai", "customer-support-automation", "knowledge-retrieval", "llm-alignment", "policy-requirements", "agentic-ai-systems" ], "domainSpecificKnowledge" : [ "Conversational AI", "Customer support automation", "Knowledge retrieval", "LLM alignment", "Policy requirements", "Agentic AI systems" ], "problemSolvingSkills" : "Failure analysis", "outcomesObjectives" : "Improve answer quality; Improve answer consistency; Improve answer grounding; Improve escalation behavior; Turn conversations into knowledge assets; Turn support tickets into knowledge assets; Turn workflows into knowledge assets; Turn policies into knowledge assets; Turn operational data into knowledge assets; Enable continuous improvement of automation quality", "qualificationsBasic" : "Hands-on experience with retrieval-augmented systems, Hands-on experience with search, Hands-on experience with ranking, Hands-on experience with knowledge-based AI applications, Experience building feedback loops from user behavior, Experience building feedback loops from QA signals, Experience building feedback loops from annotations, Experience building feedback loops from operational outcomes, Ability to operate at strategic levels, Ability to operate at hands-on levels, Communication skills, Stakeholder management skills", "qualificationsPreferred" : "LLM-based pipelines experience, Agentic AI systems experience, Tool use experience, Routing experience, Memory experience, Multi-step reasoning experience, Human-AI orchestration experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Staff Machine Learning Engineer, AI Applications to join Bolt’s Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt’s production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs. This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows. You will work closely with engineers and cross-functional partners building Bolt’s AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production. Main tasks and responsibilities: Lead alignment of Customer Support AI system behaviour to Bolt’s business goals, customer experience standards, and policy requirements, improving answer quality, consistency, grounding, and escalation behaviour.. Build and scale knowledge mining capabilities that turn conversations, support tickets, workflows, policies, and operational data into reusable knowledge assets and improvement signals. Own the evaluation strategy for LLM-powered customer support systems, including offline benchmarks, golden datasets, human review workflows, online experimentation, and production quality metrics. Develop feedback loops that connect production failures and human corrections back into prompts, retrieval, benchmarks, and model behaviour, enabling continuous improvement of automation quality. Partner closely with engineers working on AI application infrastructure, contributing ML expertise to areas such as tool-use quality, routing behaviour, memory quality, and multi-step task performance. Influence roadmap and technical direction across teams by bringing clarity to trade-offs in model behaviour, retrieval quality, experimentation, and business impact. We are not really looking for Node.js experts, but for cross-language engineers for whom a specific stack is just a tool to solve a problem, not the solution itself. About you: You have hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI applications, and understand what drives high-quality grounded responses. You have worked on knowledge-heavy or policy-constrained domains where correctness, consistency, and trust matter. You have experience building feedback loops from user behaviour, QA signals, annotations, or operational outcomes into system improvements. You are able to operate at both strategic and hands-on levels: defining long-term direction while also diving into data, experiments, and failure analysis. You have strong communication and stakeholder management skills, and can align engineering, product, and operations around quality strategy and trade-offs. Experience with LLM-based pipelines or agentic AI systems is a strong plus, especially in areas such as tool use, routing, memory, multi-step reasoning, or human-AI orchestration. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Staff Machine Learning Engineer, AI Applications at Bolt Technology. Skills: Machine Learning, AI Applications, Knowledge Systems, LLM Systems. Lead alignment of Customer Support AI system behavior. Build knowledge mining capabilities", "postedDate" : "2026-06-12T22:00:58.064", "createdAt" : "2026-06-12T22:00:58.064", "lastUpdated" : "2026-06-15T02:28:43.643", "ingestTimestamp" : "2026-06-12T22:00:58.064", "mongoId" : "6a2c5e4374d8ee00a08e2951", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied ML", "Knowledge quality", "Retrieval quality", "Feedback loops", "Model behavior", "Prompt engineering", "Tool-use quality", "Routing behavior", "Memory quality", "Multi-step task performance", "Human-AI orchestration", "Machine Learning", "AI Applications", "Knowledge Systems", "LLM Systems", "Quality strategy", "Learning strategy", "Roadmap influence", "Technical direction", "Conversational AI", "Customer support automation", "Knowledge retrieval", "LLM alignment", "Policy requirements", "Agentic AI systems" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 875.2475, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a304ff4f292fd229ceeb4ca", "title" : "Senior Software Engineer - Ai Applications", "company" : "Vention", "industry" : "Industrial Automation", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Montreal, Canada, adjusted for the manufacturing industry and company size." }, "location" : "Montreal, QC, Canada", "locations" : [ "Montreal", "QC", "Canada" ], "timestamp" : "2026-06-16T04:44:21.693", "fingerprint" : "64b611f0b4d9ee2691b6cb4e2d011e5f3e9a981affe3696d3824fff92a54d2b2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Vention/744000132199670-senior-software-engineer-ai-applications", "externalId" : "744000132199670", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, React", "professionalSkills" : [ "System design", "Root cause analysis" ], "hardSkillsList" : [ "Backend development", "Frontend development" ], "softSkillsList" : [ "Continuous improvement" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Frontend development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous improvement" } ], "majorSkills" : "Machine applications, Software development, System reliability", "majorSkillsList" : [ "Machine applications", "Software development", "System reliability" ], "coreResponsibilities" : "Design machine apps stack features, Implement machine apps stack features, Maintain machine apps stack features, Own systems end-to-end, Contribute to architectural decisions, Debug complex issues in production, Resolve complex issues in production, Improve existing codebases, Refactor existing codebases, Collaborate cross-functionally, Contribute to development processes, Contribute to development tooling, Support other developers, Mentor other developers", "teamCollaboration" : "Cross-functionally with product; With other engineering teams", "domainKnowledge" : "Factory floor automation; Robotic systems; Hardware-integrated software; Industrial systems", "domainList" : [ "factory-floor-automation", "robotic-systems", "hardware-integrated-software", "industrial-systems" ], "domainSpecificKnowledge" : [ "Factory floor automation", "Robotic systems", "Hardware-integrated software", "Industrial systems" ], "continuousLearning" : "Personalized development plans; Bi-annual employee reviews; Mentorship program; Continuous training; Professional development channels; Book allocation program", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years software development experience, Experience building production systems, Solid backend development experience, Working knowledge of frontend development, Ability to debug complex systems, Experience improving legacy codebases, Understanding of software design principles, Experience writing automated tests", "qualificationsPreferred" : "Experience with industrial systems, Experience with robotics, Experience with hardware-integrated software, Experience on mission-critical systems, Experience on high-reliability systems, Experience contributing to system design, Experience contributing to system architecture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Headquartered in Montreal and Berlin, Vention helps manufacturers automate their operations in record time with the only hardware and software AI-powered platform built for the factory floor. Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we have the privilege to work with a significant proportion of Fortune 500 manufacturers, from space rockets, to electrical cars, to robotics. At Vention, you’ll work alongside driven and talented people who care deeply about their craft and the impact they create. We’re a team of high achievers who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every day. We move quickly and aim high, but we do it together with care, collaboration, and respect. Our culture celebrates diverse perspectives and supports your growth through intentional development, strong leadership, and opportunities to make a real difference. As a Senior Software Developer at Vention… Reporting to the Machine Apps Team Lead, you will be a key contributor to the design, development, and evolution of Vention’s machine applications. You will own complex features and systems end-to-end, from design through deployment and production support, with a strong focus on reliability, maintainability, and real-world performance. You will work closely with product managers, designers, and other engineers to deliver robust applications that power robotic systems in production environments. More specifically, you will: * Design, implement, and maintain core features across our machine apps stack, including systems such as the Rapid Series Palletizer and Rapid Series Sanding. * Own systems end-to-end: from initial design and implementation to deployment, monitoring, and ongoing production support. * Contribute to architectural decisions: balancing speed of delivery with long-term maintainability and system reliability. * Debug and resolve complex issues in production environments, with a focus on root cause analysis and long-term fixes. * Improve and refactor existing codebases, reducing technical debt and increasing system clarity, testability, and performance. * Collaborate cross-functionally with product and other engineering teams to deliver cohesive, end-to-end solutions. * Contribute to development processes and tooling to improve team efficiency, code quality, and release confidence. * Support and mentor other developers through code reviews, design discussions, and knowledge sharing. ## Qualifications What You Bring to the Table We’re looking for skills, intellect, and experiences that will help you succeed in this role but we also know that various profiles (not only the one described below) could be successful. If you’re excited about what you read and think you’d be a great fit, we encourage you to apply, even if you don’t meet every single qualification. You’ll bring: * 5+ years of professional software development experience * Strong experience building and shipping production systems * Solid backend development experience (Python or similar), with working knowledge of frontend development (React or similar) * Proven ability to debug and resolve issues in complex, real-world systems * Experience working with and improving legacy codebases * Strong understanding of software design principles and tradeoffs * Experience writing automated tests as part of the development process * Comfortable working in an environment with real-world constraints (hardware, edge systems, or similar is a plus) * Strong communication skills and ability to collaborate across teams * Bias toward ownership, delivery, and continuous improvement Nice to have: * Experience with industrial systems, robotics, or hardware-integrated software * Experience working on mission-critical or high-reliability systems * Experience contributing to system design or architecture at a team level ## Additional Information What We Offer * Career pathing: Real opportunities to grow through personalized development plans, bi-annual employee reviews, and mentorship program * Professional development: Continuous training in performance management, inclusive leadership, leadership operating model, team building, and giving/receiving feedback * Gender diversity & inclusion: Pay equity reviews, inclusive policies, and a Women’s Employee Resource Group offering networking, mentorship, and quarterly learning sessions. * Hybrid work: Enjoy flexibility with our hybrid model, allowing you to work from home on select days. * Community engagement: Two paid volunteering days per year to give back to causes you care about. * Central location: Regular team gatherings and a collaborative office space in the heart of Montreal, surrounded by cafés and restaurants. * Team events: All year round employee events including annual kick-off, employee summit, quarterly happy hours, and department events. * Comprehensive benefits: A complete group benefits plan for you and your family that start day one. What to Expect in Your Interview * Initial Call * Meet the Team * Case or take-home assignment * Onsite meeting and take-home review * Decision & Offer We’re committed to making every step of the process inclusive and accessible. If you require accommodations at any stage, please let us know, we’ll ensure you have what you need to succeed. Professional Growth & Development Vention believes strongly in promotion from within. For this reason, we structured a comprehensive professional development program that elevate high-performing individuals who deeply understand the inner workings of Vention. This program encompasses: * In-house coaching program with former industry executives working with small cohort of emerging leaders * Quarterly management training on topics ranging from “Giving & Receiving Feedback, to Building high-performing teams, to \"Developing your own Leadership model” * Quarterly World-Class Speaker Series featuring industry leaders sharing their perspective and lessons learned as they build their function and business * Dedicated professional development channels sponsored by the Executive team to foster continuous professional learning * Book allocation program to further your knowledge in your domain of expertise or any business leadership topics Diversity, Inclusion & Belonging at Vention When you join Vention, you join a team of professionals with diverse experiences, backgrounds, and perspectives. Together, we’re building a workplace where everyone belongs, feels valued, and can achieve extraordinary results. We celebrate differences in ideas, in experiences, and in people. Our initiatives in gender equity, career growth, and leadership development are designed to create real opportunities for everyone to thrive. Vention’s culture Vention is an uplifting environment for high achievers. Thinking that Vention’s culture would keep you energized? See our full culture guide [here](https://assets.vention.io/downloads/pdf/CULTUREBOOKV2.pdf?gl=17683jbgclawR0NMLjE3NjI4MDAwNTguQ2p3S0NBaUF0OGJJQmhCcEVpd0F6SDF3NlJqQ2tmaXk1Z19qZkFVWU4wdHg5Y1lEbU9JUFJvdGx3SFpRQXhnaHpNMnZEblcteVkzM1Rob0MxWmdRQXZEX0J3RQ..gcl_au*MTI3OTkxMzM2NS4xNzYxNTgyNzUy). #LI-DNP", "summaryDescription" : "Senior Software Engineer - Ai Applications at Vention. Skills: Machine applications, Software development, System reliability. Design machine apps stack features. Implement machine apps stack features", "postedDate" : "2026-06-15T13:12:19.000", "createdAt" : "2026-06-15T21:36:42.142", "lastUpdated" : "2026-06-16T04:44:21.693", "ingestTimestamp" : "2026-06-15T21:36:42.142", "mongoId" : "6a304ff4f292fd229ceeb4ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Backend development", "Frontend development", "Continuous improvement", "Machine applications", "Software development", "System reliability", "System design", "Root cause analysis", "Factory floor automation", "Robotic systems", "Hardware-integrated software", "Industrial systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 861.4112, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e4374d8ee00a08e2952", "title" : "Staff Machine Learning Engineer, AI Applications", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Staff Machine Learning Engineer in Warsaw, Poland, adjusted for executive seniority and the technology industry." }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw", "Poland" ], "timestamp" : "2026-06-15T01:24:35.145", "fingerprint" : "9b9dae0ad137ff55a5d154505dd9f47315e5cc3f933be7720e4f9319a42c6b51", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8559762002?gh_jid=8559762002", "externalId" : "8559762002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2319581,21.0067249" } ], "locationText" : "Warsaw, Masovian Voivodeship, Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning, LLM, Retrieval, Knowledge systems, Search, Ranking", "professionalSkills" : [ "Quality strategy", "Learning strategy", "Technical direction", "Roadmap influence" ], "hardSkillsList" : [ "Applied ML", "Knowledge mining", "Offline benchmarks", "Online experimentation", "Production quality metrics", "Feedback loops", "Model behaviour", "Retrieval quality", "Experimentation", "Business impact" ], "hardSkills" : [ { "name" : "Applied ML", "level" : "intermediate" }, { "name" : "Knowledge mining", "level" : "intermediate" }, { "name" : "Offline benchmarks", "level" : "intermediate" }, { "name" : "Online experimentation", "level" : "intermediate" }, { "name" : "Production quality metrics", "level" : "intermediate" }, { "name" : "Feedback loops", "level" : "intermediate" }, { "name" : "Model behaviour", "level" : "intermediate" }, { "name" : "Retrieval quality", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Business impact", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI Applications, Knowledge systems, LLM evaluation", "majorSkillsList" : [ "Machine Learning", "AI Applications", "Knowledge systems", "LLM evaluation" ], "coreResponsibilities" : "Lead alignment of AI system behaviour, Improve answer quality, Improve consistency, Improve grounding, Improve escalation behaviour, Build knowledge mining capabilities, Turn data into knowledge assets, Turn data into improvement signals, Own evaluation strategy for LLM systems, Develop feedback loops, Connect production failures to system improvements, Enable continuous improvement of automation quality, Partner with AI infrastructure engineers, Contribute ML expertise, Influence roadmap and technical direction, Bring clarity to trade-offs", "teamCollaboration" : "Partner closely with engineering; Partner with product; Partner with operations; Partner with domain experts; Work with cross-functional partners", "domainKnowledge" : "Conversational experiences; Knowledge-heavy domains; Policy-constrained domains", "domainList" : [ "conversational-experiences", "knowledge-heavy-domains", "policy-constrained-domains" ], "domainSpecificKnowledge" : [ "Conversational experiences", "Knowledge-heavy domains", "Policy-constrained domains" ], "problemSolvingSkills" : "Failure analysis", "outcomesObjectives" : "Improve answer quality; Improve consistency; Improve grounding; Improve escalation behaviour; Enable continuous improvement of automation quality", "qualificationsBasic" : "Hands-on experience with retrieval-augmented systems, Experience building feedback loops, Able to operate at strategic and hands-on levels, Communication and stakeholder management skills", "qualificationsPreferred" : "LLM-based pipelines experience, Agentic AI systems experience, Tool use experience, Routing experience, Memory experience, Multi-step reasoning experience, Human-AI orchestration experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Staff Machine Learning Engineer, AI Applications to join Bolt’s Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt’s production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs. This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows. You will work closely with engineers and cross-functional partners building Bolt’s AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production. Main tasks and responsibilities: Lead alignment of Customer Support AI system behaviour to Bolt’s business goals, customer experience standards, and policy requirements, improving answer quality, consistency, grounding, and escalation behaviour.. Build and scale knowledge mining capabilities that turn conversations, support tickets, workflows, policies, and operational data into reusable knowledge assets and improvement signals. Own the evaluation strategy for LLM-powered customer support systems, including offline benchmarks, golden datasets, human review workflows, online experimentation, and production quality metrics. Develop feedback loops that connect production failures and human corrections back into prompts, retrieval, benchmarks, and model behaviour, enabling continuous improvement of automation quality. Partner closely with engineers working on AI application infrastructure, contributing ML expertise to areas such as tool-use quality, routing behaviour, memory quality, and multi-step task performance. Influence roadmap and technical direction across teams by bringing clarity to trade-offs in model behaviour, retrieval quality, experimentation, and business impact. We are not really looking for Node.js experts, but for cross-language engineers for whom a specific stack is just a tool to solve a problem, not the solution itself. About you: You have hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI applications, and understand what drives high-quality grounded responses. You have worked on knowledge-heavy or policy-constrained domains where correctness, consistency, and trust matter. You have experience building feedback loops from user behaviour, QA signals, annotations, or operational outcomes into system improvements. You are able to operate at both strategic and hands-on levels: defining long-term direction while also diving into data, experiments, and failure analysis. You have strong communication and stakeholder management skills, and can align engineering, product, and operations around quality strategy and trade-offs. Experience with LLM-based pipelines or agentic AI systems is a strong plus, especially in areas such as tool use, routing, memory, multi-step reasoning, or human-AI orchestration. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50+ countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Staff Machine Learning Engineer, AI Applications at Bolt Technology. Skills: Machine Learning, AI Applications, Knowledge systems, LLM evaluation. Lead alignment of AI system behaviour. Improve answer quality", "postedDate" : "2026-06-12T22:09:18.669", "createdAt" : "2026-06-12T22:09:18.669", "lastUpdated" : "2026-06-15T01:24:35.145", "ingestTimestamp" : "2026-06-12T22:09:18.669", "mongoId" : "6a2c5e4374d8ee00a08e2952", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied ML", "Knowledge mining", "Offline benchmarks", "Online experimentation", "Production quality metrics", "Feedback loops", "Model behaviour", "Retrieval quality", "Experimentation", "Business impact", "Machine Learning", "AI Applications", "Knowledge systems", "LLM evaluation", "Quality strategy", "Learning strategy", "Technical direction", "Roadmap influence", "Conversational experiences", "Knowledge-heavy domains", "Policy-constrained domains" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 836.78, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6acc74d8ee00a090e0cd", "title" : "Senior DevOps Engineer, AI & Applications", "company" : "Firmus Technologies", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps Engineer in Australia, adjusted for Launceston's city tier, the technology industry, and a senior experience level." }, "location" : "Australia", "locations" : [ "Australia", "Singapore" ], "timestamp" : "2026-06-15T10:35:10.645", "fingerprint" : "0aa8c2367660c9fb6a003548607f1e39a804ae05da4d61a19770a6c4440cda7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/firmus/jobs/5071740008", "externalId" : "5071740008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Launceston", "state" : "Tasmania", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-41.4340813,147.1373496" }, { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" }, { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Launceston, Tasmania, Australia; Sydney, New South Wales, Australia; Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CI/CD, Jenkins, GitHub Actions, ArgoCD, GitOps, GPU", "professionalSkills" : [ "Release engineering", "Deployment safety", "Incident response", "Cost control", "Resource optimization" ], "hardSkillsList" : [ "Automated testing", "Artifact management", "Distributed training", "Multi-node job submission", "Code quality", "Dependency scanning", "Static analysis" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Artifact management", "level" : "intermediate" }, { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Multi-node job submission", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Dependency scanning", "level" : "intermediate" }, { "name" : "Static analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "DevOps, CI/CD, Release engineering, AI infrastructure", "majorSkillsList" : [ "DevOps", "CI/CD", "Release engineering", "AI infrastructure" ], "coreResponsibilities" : "Design CI/CD pipelines, Maintain CI/CD pipelines, Implement release engineering best practices, Build test infrastructure, Manage test infrastructure, Establish engineering protocols, Establish engineering standards, Partner with infra teams, Ensure deployment practices meet standards, Mentor team on testing strategies, Mentor team on deployment safety, Mentor team on incident response", "teamCollaboration" : "Cross-functional teams; Infra teams; AI product teams", "domainKnowledge" : "AI features; GPU clusters; Distributed training; Sustainable AI", "domainList" : [ "ai-features", "gpu-clusters", "distributed-training", "sustainable-ai" ], "domainSpecificKnowledge" : [ "AI features", "GPU clusters", "Distributed training", "Sustainable AI" ], "toolProficiency" : [ "Jenkins", "GitHub Actions", "ArgoCD", "Git" ], "innovationCreativity" : "Innovative engineering solutions", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Scale fast and responsibly; Ship safely; Ship often; Ship at scale; Reliability targets met; Developer Productivity improves; Team Scale improves; Cost Efficiency controlled; Resource Optimization controlled; Multiplier effect visible; Repeat incident classes reduce", "qualificationsBasic" : "5+ years CI/CD pipelines, GPU cluster standards, Repeatable releases, GitOps workflows, Automated rollback, Change management procedure, Environment provisioning, Data seeding, Long-running job validation, Repo organization, PR templates, Code quality gates, Dependency scanning, Static analysis, AI product features deployment, Compliance and security standards, Testing strategies, Deployment safety, Incident response procedures, Reliability targets met, Developer Productivity targets met, Team Scale improves, Cost Efficiency targets met, Resource Optimization targets met, Knowledge & Culture Multiplier effect visible, Repeat incident classes reduce", "workSiteFlexibility" : "Flexible", "rawDescription" : "Role Summary Every AI feature we ship touches thousands of GPUs. The Senior DevOps Engineer will build the release engineering backbone—CI/CD pipelines, automated testing gates, one-click deployments with instant rollback—that lets Firmus scale fast and responsibly. You're the bridge between engineering and operations: setting Firmus standards for how code gets to production, mentoring the team on deployment safety, and driving a blameless culture when things go wrong. Ship safely. Ship often. Ship at scale. Key Responsibilities Design and maintain team-wide CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD, or equivalent) with automated testing gates, artifact management, and deployments aligned with GPU cluster standards. Implement release engineering best practices: repeatable releases, GitOps workflows, automated rollback, and change management procedure. Build and manage test infrastructure: environment provisioning, data seeding, long-running job validation (especially for distributed training templates and multi-node job submissions). Establish engineering protocols and standards: repo organization, PR templates, code quality gates, dependency scanning, static analysis. Partner with infra teams to ensure AI product features deployment practices meet compliance and security standards for massive GPU clusters. Mentor team on testing strategies, deployment safety, and incident response procedures. Skills reliability targets are met without \"surprise outages.\" Developer Productivity reliability targets are met without “surprise outages.” Developer Productivity & Team Scale improves: engineers spend less time fighting CI/CD and more time shipping as the team grows. Cost Efficiency & Resource Optimization improves: CI/CD and test infrastructure costs stay controlled (or decrease per unit of output) as usage scales. Knowledge & Culture Multiplier effect is visible: release/reliability practices become the default across the org and repeat incident classes reduce Location & Reporting Singapore or Australia (Launceston, TAS or Sydney, NSW) Reporting to Head of AI & Applications Employment Basis Full-time Diversity At Firmus, we are committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds who are passionate about creating a more sustainable future through innovative engineering solutions. Join us in our mission to revolutionize the AI industry through sustainable practices and cutting-edge engineering. Apply now to be part of shaping the future of sustainable AI infrastructure.", "summaryDescription" : "Senior DevOps Engineer, AI & Applications at Firmus Technologies. Skills: DevOps, CI/CD, Release engineering, AI infrastructure. Design CI/CD pipelines. Maintain CI/CD pipelines", "postedDate" : "2026-06-14T07:54:10.239", "createdAt" : "2026-06-14T07:54:10.239", "lastUpdated" : "2026-06-15T10:35:10.645", "ingestTimestamp" : "2026-06-14T07:54:10.239", "mongoId" : "6a2c6acc74d8ee00a090e0cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Automated testing", "Artifact management", "Distributed training", "Multi-node job submission", "Code quality", "Dependency scanning", "Static analysis", "Mentoring", "DevOps", "CI/CD", "Release engineering", "AI infrastructure", "Deployment safety", "Incident response", "Cost control", "Resource optimization", "AI features", "GPU clusters", "Sustainable AI", "Jenkins", "GitHub Actions", "ArgoCD", "Git" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 805.5804, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6acc74d8ee00a090e0cc", "title" : "Senior DevOps Engineer, AI & Applications", "company" : "Firmus Technologies", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 220000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps Engineer in Melbourne, Australia, adjusted for the technology industry and company size." }, "location" : "Melbourne, Victoria, Australia", "locations" : [ "Melbourne", "Victoria", "Australia" ], "timestamp" : "2026-06-15T08:37:52.816", "fingerprint" : "5f61a4245bf8a8b71fb14158da981be77cf74114533fe2fafec4099e355fed52", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/firmus/jobs/5253321008", "externalId" : "5253321008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CI/CD, Jenkins, GitHub Actions, ArgoCD, GitOps, GPU", "professionalSkills" : [ "Release engineering", "Change management", "Incident response" ], "hardSkillsList" : [ "Automated testing", "Artifact management", "Dependency scanning", "Static analysis" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Artifact management", "level" : "intermediate" }, { "name" : "Dependency scanning", "level" : "intermediate" }, { "name" : "Static analysis", "level" : "intermediate" } ], "majorSkills" : "DevOps, CI/CD, Release engineering", "majorSkillsList" : [ "DevOps", "CI/CD", "Release engineering" ], "coreResponsibilities" : "Design CI/CD pipelines, Maintain CI/CD pipelines, Implement release engineering, Build test infrastructure, Manage test infrastructure, Establish engineering protocols, Establish engineering standards, Partner with infra teams, Ensure deployment practices meet standards, Mentor team on testing, Mentor team on deployment safety, Mentor team on incident response", "teamCollaboration" : "Cross-functional teams; Infra teams", "domainKnowledge" : "AI infrastructure; GPU clusters; Distributed training", "domainList" : [ "ai-infrastructure", "gpu-clusters", "distributed-training" ], "domainSpecificKnowledge" : [ "AI infrastructure", "GPU clusters", "Distributed training" ], "toolProficiency" : [ "Jenkins", "GitHub Actions", "ArgoCD" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve developer productivity; Improve team scale; Control CI/CD costs; Reduce repeat incident classes", "qualificationsBasic" : "5+ years Python, 5+ years CI/CD, 5+ years release engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability. At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. For our customers, this approach allows us to make every watt count and deliver low-cost AI tokens globally. Firmus AI Cloud Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers. It empowers developers, enterprises, educational institutions, and government users to train and deploy AI models with unmatched efficiency and cost savings. With an ever-growing suite of services and applications, we are committed to delivering a cloud experience that is market-leading, proprietary, and built to scale. Role Summary Every AI feature we ship touches thousands of GPUs. The Senior DevOps Engineer will build the release engineering backbone—CI/CD pipelines, automated testing gates, one-click deployments with instant rollback—that lets Firmus scale fast and responsibly. You're the bridge between engineering and operations: setting Firmus standards for how code gets to production, mentoring the team on deployment safety, and driving a blameless culture when things go wrong. Ship safely. Ship often. Ship at scale. Key Responsibilities Design and maintain team-wide CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD, or equivalent) with automated testing gates, artifact management, and deployments aligned with GPU cluster standards. Implement release engineering best practices: repeatable releases, GitOps workflows, automated rollback, and change management procedure. Build and manage test infrastructure: environment provisioning, data seeding, long-running job validation (especially for distributed training templates and multi-node job submissions). Establish engineering protocols and standards: repo organization, PR templates, code quality gates, dependency scanning, static analysis. Partner with infra teams to ensure AI product features deployment practices meet compliance and security standards for massive GPU clusters. Mentor team on testing strategies, deployment safety, and incident response procedures. Skills reliability targets are met without \"surprise outages.\" Developer Productivity reliability targets are met without “surprise outages.” Developer Productivity & Team Scale improves: engineers spend less time fighting CI/CD and more time shipping as the team grows. Cost Efficiency & Resource Optimization improves: CI/CD and test infrastructure costs stay controlled (or decrease per unit of output) as usage scales. Knowledge & Culture Multiplier effect is visible: release/reliability practices become the default across the org and repeat incident classes reduce Location & Reporting Melbourne, Australia Reporting to Head of AI & Applications Employment Basis Full-time Diversity At Firmus, we are committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds who are passionate about creating a more sustainable future through innovative engineering solutions. Join us in our mission to revolutionize the AI industry through sustainable practices and cutting-edge engineering. Apply now to be part of shaping the future of sustainable AI infrastructure.", "summaryDescription" : "Senior DevOps Engineer, AI & Applications at Firmus Technologies. Skills: DevOps, CI/CD, Release engineering. Design CI/CD pipelines. Maintain CI/CD pipelines", "postedDate" : "2026-06-14T01:44:27.384", "createdAt" : "2026-06-14T01:44:27.384", "lastUpdated" : "2026-06-15T08:37:52.816", "ingestTimestamp" : "2026-06-14T01:44:27.384", "mongoId" : "6a2c6acc74d8ee00a090e0cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Automated testing", "Artifact management", "Dependency scanning", "Static analysis", "DevOps", "CI/CD", "Release engineering", "Change management", "Incident response", "AI infrastructure", "GPU clusters", "Distributed training", "Jenkins", "GitHub Actions", "ArgoCD" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 794.736, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e8874d8ee00a0952c84", "title" : "Admin & AI Architect, RevOps & CRM Systems", "company" : "Lotlinx", "industry" : "Technology", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Winnipeg, Manitoba, Canada", "locations" : [ "Winnipeg", "Manitoba", "Canada" ], "timestamp" : "2026-06-15T12:57:41.850", "fingerprint" : "b19f95d7c228e40e42f7665ef928691e8a25249552e13840b8ce3ad893268a34", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lotlinx/jobs/4685955006", "externalId" : "4685955006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Winnipeg", "state" : "Manitoba", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.8955367,-97.1384584" } ], "locationText" : "Winnipeg, Manitoba, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Salesforce, Apex, JavaScript, Python, OpenAI APIs, Anthropic APIs", "professionalSkills" : [ "RevOps engine architecture", "AI integration strategy", "Agent workflows", "Org design optimization", "Evaluation frameworks", "Autonomous operations" ], "hardSkillsList" : [ "AI agent deployment", "AI agent governance", "Multi-agent systems", "Code generation" ], "hardSkills" : [ { "name" : "AI agent deployment", "level" : "intermediate" }, { "name" : "AI agent governance", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" } ], "majorSkills" : "AI Architecture, RevOps, Salesforce, Agent Systems", "majorSkillsList" : [ "AI Architecture", "RevOps", "Salesforce", "Agent Systems" ], "coreResponsibilities" : "Architect autonomous RevOps engine, Administer Salesforce platform, Define AI integration strategy, Automate heavy manual processes, Optimize org design for LLMs, Establish guardrails, Establish evaluation frameworks, Evaluate third-party agent frameworks, Deploy AI agents", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Automotive landscape; Automotive AI; Machine learning; Digital marketing; Risk management; Inventory management; LLMs; Agentic interaction", "domainList" : [ "automotive-landscape", "automotive-ai", "machine-learning", "digital-marketing", "risk-management", "inventory-management", "llms", "agentic-interaction" ], "domainSpecificKnowledge" : [ "Automotive landscape", "Automotive AI", "Machine learning", "Digital marketing", "Risk management", "Inventory management", "LLMs", "Agentic interaction" ], "toolProficiency" : [ "LangGraph", "CrewAI", "AutoGen", "OpenAI", "Anthropic" ], "documentationSkills" : "Documentation generation", "continuousLearning" : "Career development opportunities", "innovationCreativity" : "AI-first RevOps engine", "problemSolvingSkills" : "Break down complex problems", "outcomesObjectives" : "Ship RevOps engine faster; Agents handle development load; Agents handle administrative load; Regressions don't reach production; Finance, Marketing, Sales, Account Management and Product Operations get compounding value", "qualificationsBasic" : "2+ years Salesforce, Complex Apex, Metadata APIs, Python, Apex/JavaScript, Prompt engineering, RAG architectures, Routing logic", "qualificationsPreferred" : "Admin/architect certs preferred, External agents preference, Claude / Claude Code utilization", "remoteFriendly" : false, "rawDescription" : "Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management. Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities. Job Summary Our CRM team has spent years building a Salesforce foundation that is incredibly rare: clean data models, well-architected automation, and rock-solid processes across Sales, Marketing, and Finance. Instead of scaling our operations through linear, traditional headcount, we are building an AI-first RevOps engine. We are looking for a Admin you are architecting a digital workforce that acts as a massive force multiplier for our entire organization. Key Responsibilities You will be the architect and admin of Lotlinx's autonomous RevOps engine, focused on designing, deploying, and governing a fleet of AI agents in addition to administration of our Salesforce platform. Define the AI integration strategy across the full RevOps stack, identifying where multi-step agent workflows can completely automate heavy manual processes. Serve as the absolute authority on AI and Salesforce architecture, ensuring our org design is optimized for LLMs and agentic interaction. Establish rigorous guardrails and evaluation frameworks to ensure AI-generated configurations, code, and documentation meet a flawless production bar before deployment. Lead the evaluation of bespoke third-party agent frameworks versus native AI tooling with a strong preference for external agents to ensure Lotlinx leads the industry in autonomous operations. Qualifications Bachelor’s degree or equivalent professional experience. Deep Salesforce fluency (2+ years in admin/developer type roles) where you've written complex Apex, navigated metadata APIs, and understand what breaks an enterprise org. We care about depth of knowledge over years on a resume (admin/architect certs preferred). You have hands-on experience building autonomous multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen. Deep understanding of prompt engineering, RAG architectures, and routing logic using the OpenAI or Anthropic APIs. You see the whole board. You know how to break down a complex RevOps problem into discrete, automatable tasks that a digital worker can execute safely. Comfort writing and reviewing code across Python (for AI orchestration) and Apex/JavaScript (for Salesforce). Bonus points for candidates who are actively excited about utilizing Claude / Claude Code for complex multi-agent logic and code generation, rather than just general framework users. A Note on Experience: We value production scars over a list of certifications. We want the person who has actually tried to put an autonomous agent into a production environment, broke things, learned from it, and knows how to build the necessary guardrails. How Success is Measured Is the RevOps engine shipping faster and more reliably because your agents are handling the heavy development and administrative load? Your agents operate behind robust human-in-the-loop guardrails and automated test coverage that you designed. Regressions don't reach production because your review architecture catches them first. Are Finance, Marketing, Sales, Account Management and Product Operations getting compounding value from Salesforce via the intelligent systems you’ve deployed? The salary range for this position is $100,000 - $110,000 CAD, with an annual target bonus. Lotlinx provides a comprehensive benefits package. This job posting is for an existing vacancy. Please be advised that Lotlinx uses artificial intelligence technology to assist in the screening and selection process for this vacancy. Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Lotlinx is not currently able to offer sponsorship for employment visa status. Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada. Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.", "summaryDescription" : "Admin & AI Architect, RevOps & CRM Systems at Lotlinx. Skills: AI Architecture, RevOps, Salesforce, Agent Systems. Architect autonomous RevOps engine. Administer Salesforce platform", "postedDate" : "2026-06-13T22:29:44.676", "createdAt" : "2026-06-13T22:29:44.676", "lastUpdated" : "2026-06-15T12:57:41.850", "ingestTimestamp" : "2026-06-13T22:29:44.676", "mongoId" : "6a2c7e8874d8ee00a0952c84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI agent deployment", "AI agent governance", "Multi-agent systems", "Code generation", "AI Architecture", "RevOps", "Salesforce", "Agent Systems", "RevOps engine architecture", "AI integration strategy", "Agent workflows", "Org design optimization", "Evaluation frameworks", "Autonomous operations", "Automotive landscape", "Automotive AI", "Machine learning", "Digital marketing", "Risk management", "Inventory management", "LLMs", "Agentic interaction", "LangGraph", "CrewAI", "AutoGen", "OpenAI", "Anthropic" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 787.7667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a654374d8ee00a0628efa", "title" : "Staff Applications Engineer, GTM Systems", "company" : "HackerOne", "industry" : "Enterprise Data & AI", "salary" : { "min" : 191000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Austin", "locations" : [ "Austin", "San Francisco", "Seattle", "Washington DC", "Boston" ], "certifications" : [ "Salesforce Advanced Administrator", "Salesforce Platform App Builder", "Salesforce Business Analyst" ], "timestamp" : "2026-06-14T20:57:23.892", "fingerprint" : "a3306370f59513c8ee09a867267db5afc9af318178a57e68f35d8b00c58ef1ff", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/HackerOne/62c0d421-71f7-43c0-989d-dc89782041d7/application", "externalId" : "62c0d421-71f7-43c0-989d-dc89782041d7", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Salesforce, Clay, Marketo, Workato, AI", "professionalSkills" : [ "GTM systems strategy", "Roadmap development", "Data-Driven Decision Making", "Change Agility", "Operational efficiency", "Forecasting accuracy", "Revenue execution", "System design", "Platform modernization" ], "hardSkillsList" : [ "Salesforce Flow development", "Apex development" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Salesforce Flow development", "level" : "intermediate" }, { "name" : "Apex development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "GTM Systems, AI Native Systems, Salesforce", "majorSkillsList" : [ "GTM Systems", "AI Native Systems", "Salesforce" ], "coreResponsibilities" : "Lead end-to-end design and delivery of scalable, secure,, Support HackerOne’s transformation into an AI-native organization, Embed AI First principles into workflows, Embed AI First principles into architecture, Embed AI First principles into operational processes, Own and evolve architecture across Salesforce Sales Cloud, Own and evolve architecture across Experience Cloud, Own and evolve architecture across CPQ, Own and evolve architecture across Clay, Own and evolve architecture across Marketo, Own and evolve architecture across adjacent platforms, Redesign legacy processes, Redesign legacy systems, Drive GTM systems strategy, Drive roadmap development, Partner with executive stakeholders, Apply First Principles Problem Solving to deconstruct complex, Identify root causes, Design simple, scalable solutions, Improve operational efficiency, Improve forecasting accuracy, Improve revenue execution, Lead platform modernization efforts, Help stakeholders navigate evolving business requirements, Build repeatable frameworks, Partner across business teams, Partner across engineering teams, Partner across operations teams, Identify high-leverage opportunities for automation, Identify high-leverage opportunities for integration, Identify high-leverage opportunities for AI-powered capabilities, Reduce manual effort, Improve decision quality, Provide technical leadership, Provide mentorship to internal engineers, Provide mentorship to external development partners, Establish standards, Establish best practices, Establish scalable operating models, Elevate engineering quality across GTM systems, Champion operational excellence, Implement robust automation, Implement governance, Implement documentation, Implement incident management, Implement change management processes, Ensure systems are resilient, Ensure systems are trusted, Ensure systems are broadly adopted", "teamCollaboration" : "Partner with executive stakeholders; Partner across business teams; Partner across engineering teams; Partner across operations teams", "projectManagementSkills" : [ "Roadmap development", "Agile development processes", "Iterative development processes" ], "domainKnowledge" : "GTM motion; AI Security Testing; Offensive security; Continuous Threat Exposure Management; AI systems; Cyber risk; Quote-to-cash; CPQ workflows", "domainList" : [ "gtm-motion", "ai-security-testing", "offensive-security", "continuous-threat-exposure-management", "ai-systems", "cyber-risk", "quote-to-cash", "cpq-workflows" ], "domainSpecificKnowledge" : [ "GTM motion", "AI Security Testing", "Offensive security", "Continuous Threat Exposure Management", "AI systems", "Cyber risk", "Quote-to-cash", "CPQ workflows" ], "toolProficiency" : [ "Salesforce Sales Cloud", "Salesforce Experience Cloud", "Salesforce CPQ", "Clay", "Marketo", "Workato" ], "communicationSkills" : "Executive communication; Present complex technical concepts; Present data-driven recommendations", "innovationCreativity" : "AI native GTM systems; AI First principles", "problemSolvingSkills" : "First Principles Problem Solving; Data-Driven Decision Making", "outcomesObjectives" : "Maximize automation; Maximize scalability; Maximize business impact; Improve operational efficiency; Improve forecasting accuracy; Improve revenue execution; Reduce manual effort; Improve decision quality; Elevate engineering quality", "qualificationsBasic" : "12+ years experience in Engineering, Systems Engineering, Business Systems, Computer Science, or related technical field, Extensive hands-on expertise with Salesforce Sales Cloud, Extensive hands-on expertise with Salesforce Experience Cloud, Extensive hands-on expertise with Salesforce CPQ, Extensive hands-on expertise with Clay, Extensive hands-on expertise with Marketo, Extensive hands-on expertise with modern integration and automation platforms, Demonstrated experience building AI-enabled workflows, Demonstrated experience building AI-enabled automations, Demonstrated experience building AI-enabled business systems, Proven ability to solve highly ambiguous and complex business challenges, Experience leveraging metrics, analytics, and business insights, Proven success leading large-scale system transformations, Excellent written communication skills, Excellent verbal communication skills, Excellent executive communication skills", "qualificationsPreferred" : "Salesforce Advanced Administrator certification, Salesforce Platform App Builder certification, Salesforce Business Analyst certification, Background in GTM operations and strategy, Direct exposure to quote-to-cash, Direct exposure to CPQ workflows, Experience with Mac operating systems, Experience working with Agile processes, Experience working with iterative development processes", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com http://Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. STAFF APPLICATIONS ENGINEER, GTM SYSTEMS REMOTE LOCATION: BOSTON, MA; SEATTLE, WA; SAN FRANCISCO BAY AREA; AUSTIN, TX; OR WASHINGTON, DC POSITION SUMMARY HackerOne is seeking a Staff Applications Engineer, GTM Systems who understands the end-to-end GTM motion, sees how business goals translate into process and system design, and brings hands-on expertise across a modern GTM tech stack, including Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, and Marketo. Reporting to the Vice President of Enterprise Data & AI, this role offers a unique opportunity to partner directly with our CEO and SVP of GTM Operations. Join our Enterprise Data & AI team to be the technical leader driving the strategy, design, and implementation of AI native GTM systems. You’ll be a strategic collaborator, helping define and drive the roadmap, not just execute it. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. WHAT YOU WILL DO Success in the Staff Applications Engineer, GTM Systems role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne. - Lead the end-to-end design and delivery of scalable, secure, and intelligent GTM systems that support HackerOne’s transformation into an AI-native organization, embedding AI First principles into workflows, architecture, and operational processes. - Own and evolve the architecture across Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, Marketo, and adjacent platforms, redesigning legacy processes and systems to maximize automation, scalability, and business impact through AI First thinking. - Drive GTM systems strategy and roadmap development by partnering closely with executive stakeholders, including the CEO and SVP of GTM Operations, applying Data-Driven Decision Making to prioritize investments, measure outcomes, and continuously improve business performance. - Apply First Principles Problem Solving to deconstruct complex GTM challenges, identify root causes, and design simple, scalable solutions that improve operational efficiency, forecasting accuracy, and revenue execution. - Demonstrate Change Agility by leading platform modernization efforts, helping stakeholders navigate evolving business requirements, and building repeatable frameworks that enable teams to adapt quickly to changing priorities and market conditions. - Partner across business, engineering, and operations teams to identify high-leverage opportunities for automation, integration, and AI-powered capabilities that reduce manual effort and improve decision quality. - Provide technical leadership and mentorship to internal engineers and external development partners, establishing standards, best practices, and scalable operating models that elevate engineering quality across GTM systems. - Champion operational excellence through robust automation, governance, documentation, incident management, and change management processes, ensuring systems are resilient, trusted, and broadly adopted across the organization. MINIMUM QUALIFICATIONS - 12+ years of experience in Engineering, Systems Engineering, Business Systems, Computer Science, or a related technical field, with a demonstrated track record of designing, building, and scaling enterprise GTM platforms. - Extensive hands-on expertise with Salesforce Sales Cloud (including Flow and Apex development), Experience Cloud, CPQ, Clay, Marketo, and modern integration and automation platforms such as Workato. - Demonstrated experience building AI-enabled workflows, automations, and business systems, with an AI First mindset focused on improving scalability, efficiency, and business outcomes. - Proven ability to solve highly ambiguous and complex business challenges using First Principles Problem Solving, translating strategic goals into scalable technical solutions. - Strong experience leveraging metrics, analytics, and business insights to influence priorities, evaluate outcomes, and drive Data-Driven Decision Making across cross-functional stakeholders. - Proven success leading large-scale system transformations and navigating organizational change through Change Agility, maintaining momentum and stakeholder alignment in dynamic environments. - Excellent written, verbal, and executive communication skills, including the ability to present complex technical concepts and data-driven recommendations to senior leaders. PREFERRED QUALIFICATIONS - Salesforce Advanced Administrator, Platform App Builder, and/or Business Analyst certification - Background in GTM operations and strategy with direct exposure to quote-to-cash and CPQ workflows - Experience with Mac operating systems - Experience working with Agile and iterative development processes Compensation Bands: Tier Guide https://drive.google.com/file/d/1CpnuHvyv3ldvgWy7FIttnkH7b0txxuc3/view Tier A: $220-235k Tier B: $202-235k Tier C: $191-233k #LI-KM1 #LI-Remote JOB BENEFITS: - Health (medical, vision, dental), life, and disability insurance* - Equity stock options - Retirement plans - Paid public holidays and unlimited PTO - Paid maternity and parental leave - Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) - Employee Assistance Program *Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com https://remote.com/preemployment-faq as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.", "summaryDescription" : "Staff Applications Engineer, GTM Systems at HackerOne. Skills: GTM Systems, AI Native Systems, Salesforce. Lead end-to-end design and delivery of scalable, secure,. Support HackerOne’s transformation into an AI-native organization", "postedDate" : "2026-06-11T18:51:19.795", "createdAt" : "2026-06-11T18:51:19.795", "lastUpdated" : "2026-06-14T20:57:23.892", "ingestTimestamp" : "2026-06-11T18:51:19.795", "mongoId" : "6a2a654374d8ee00a0628efa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 191000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Salesforce Flow development", "Apex development", "Leadership", "Mentorship", "GTM Systems", "AI Native Systems", "Salesforce", "GTM systems strategy", "Roadmap development", "Data-Driven Decision Making", "Change Agility", "Operational efficiency", "Forecasting accuracy", "Revenue execution", "System design", "Platform modernization", "Agile development processes", "Iterative development processes", "GTM motion", "AI Security Testing", "Offensive security", "Continuous Threat Exposure Management", "AI systems", "Cyber risk", "Quote-to-cash", "CPQ workflows", "Salesforce Advanced Administrator", "Salesforce Platform App Builder", "Salesforce Business Analyst", "Salesforce Sales Cloud", "Salesforce Experience Cloud", "Salesforce CPQ", "Clay", "Marketo", "Workato" ], "skillCount" : 35, "jobCategory" : "data-science", "jobSubcategory" : "enterprise-data-&-ai", "dataQualityScore" : 1.0, "_score" : 785.948, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity" }, { "id" : "6a2b035374d8ee00a074f1f5", "title" : "Applications Systems Manager II", "company" : "The Nc Dhhs Information Technology Division", "industry" : "Healthcare", "salary" : { "min" : 105341.0, "max" : 184345.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Wake County, NC", "locations" : [ "Wake County, NC", "United States of America" ], "timestamp" : "2026-06-14T23:32:21.399", "fingerprint" : "5ef8a5fa0fa44ebebd5cac44d7960d0f342196192acc3f9a54a70f529b6380e5", "source" : "workday", "language" : "en", "applyUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wake-County-NC/Applications-Systems-Manager-II_JR-100791", "externalId" : "JR-100791", "industryFunction" : { }, "locationPoint" : "34.81156,134.14264", "structuredLocations" : [ { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Java, Python, C#, AWS, Salesforce, PowerApps", "professionalSkills" : [ "System integration", "Software design", "Product strategy", "Lifecycle oversight" ], "hardSkillsList" : [ "Application development", "Software engineering", "Architecture", "System integration" ], "softSkillsList" : [ "Conflict resolution", "Leadership" ], "hardSkills" : [ { "name" : "Application development", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Conflict resolution" }, { "name" : "Leadership" } ], "majorSkills" : "Application management, Software development, IT leadership", "majorSkillsList" : [ "Application management", "Software development", "IT leadership" ], "coreResponsibilities" : "Supervise application development staff, Oversee recruitment, Oversee coaching, Oversee performance management, Oversee conflict resolution, Direct planning, Direct architecture, Direct delivery of software solutions, Lead agile software engineering efforts, Guide teams through SDLC phases, Collaborate with product owners, Collaborate with business stakeholders, Ensure application compliance, Ensure infrastructure compliance, Oversee vendor relationships, Manage resource allocations, Align team deliverables, Provide technical expertise, Track project status, Escalate risks, Communicate updates to executive leadership, Lead modernization initiatives, Lead improvement initiatives", "teamCollaboration" : "Cross-functional teams; Partner agencies; Enterprise IT teams", "projectManagementSkills" : [ "Agile software development", "Project estimation" ], "domainKnowledge" : "Energy Assistance; Special Assistance; Health and human services", "domainList" : [ "energy-assistance", "special-assistance", "health-and-human-services" ], "domainSpecificKnowledge" : [ "Energy Assistance", "Special Assistance", "Health and human services" ], "communicationSkills" : "Executive leadership communication", "innovationCreativity" : "Modernization initiatives; Improvement initiatives", "outcomesObjectives" : "Deliver scalable technology solutions; Deliver compliant technology solutions; Deliver efficient technology solutions", "qualificationsBasic" : "6 years progressive experience, 3 years supervisory experience, Bachelor's degree in computer science or IT related field, Associate degree in computer science or IT related field, 7 years progressive experience", "qualificationsPreferred" : "Experience with web application development, Experience with AWS Cloud-based solutions, Experience with low-code platforms, Leading large-scale IT application teams, Product strategy and lifecycle oversight, Agile software development, Technical project estimation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Agency** Dept of Health and Human Services **Division** SEC OFFICE - INFO TECH - NC FAST **Job Classification Title** Applications Systems Manager II (NS) **Position Number** 65017926 **Grade** DT12 **About Us** The North Carolina Department of Health and Human Services (DHHS) is one of the largest, most complex agencies in the state, and has approximately 17,000 employees. It is responsible for ensuring the health, safety, and well-being of all North Carolinians, providing human service needs for special populations including individuals who are deaf, blind, developmentally disabled, and mentally ill, and helping poor North Carolinians achieve economic independence. **Description of Work** The Senior Applications Systems Manager provides IT leadership across multiple technical teams supporting software applications utilized statewide. This position manages the planning, development, and maintenance of applications across program domains, such as Energy Assistance, Special Assistance, and related technical workstreams. The Senior Applications Systems Manager role oversees the entire Software Development Life Cycle (SDLC), coordinates vendor engagement, and collaborates with stakeholders across DHHS divisions and partner agencies. This position is key to delivering scalable, compliant, and efficient technology solutions that support critical health and human services operations. Key Duties Include: \\- Supervises application development staff and oversees recruitment, coaching, performance management, and conflict resolution. \\- Directs planning, architecture, and delivery of software solutions across web and cloud platforms. \\- Leads agile software engineering efforts and guides teams through all SDLC phases. \\- Collaborates with product owners and business stakeholders to align solutions with program goals. \\- Ensures application and infrastructure compliance with audit and security standards. \\- Oversees vendor relationships, including contract development, negotiations, and performance monitoring. \\- Manages resource allocations and aligns team deliverables with strategic priorities. \\- Provides technical expertise in system integration, architecture, and software design. \\- Tracks project status, escalates risks, and communicates updates to executive leadership. \\- Leads modernization and improvement initiatives in partnership with enterprise IT teams. **Knowledge Skills and Abilities/Management Preferences** ## _**Salary Grade Range: $105,341.00 - $184,345.00**_ _Candidates now meet the minimum qualifications for a position if they possess the minimum education and experience listed in the vacancy announcement._ _The Knowledge, Skills, and Abilities (KSAs)/ Management Preferences are not required. Applicants who possess the following skills are preferred:_ * Experience with web application development using languages such as Java, Python, or C#. * Demonstrated experience with AWS Cloud-based solutions and low-code platforms (e.g., Salesforce, PowerApps). * Proven experience with leading large-scale IT application teams, including product strategy and lifecycle oversight. * Documented experience with Agile software development and technical project estimation. ## **REPOST - Previous Applicants _Do Not_ Need To Reapply To Be Considered For This Vacancy** ## **This Position Is Federally Funded In Part** The Posting Will Close At 11:59 P.M. The Night Before The End Date ## **About the NC DHHS Information Technology Division:** In collaboration with our partners, the North Carolina Department of Health and Human Services (DHHS) protects the health and safety of all North Carolinians and provides essential health and human services. The IT division (ITD) is one of the divisions that reports to the Operational Excellence portfolio. The ITD division comprises four sections: Implementation and Operations, Strategy and Workforce, Enterprise Technology, and Vendor and Finance. ITD offers the following services but not limited to, implementations, operations, project/portfolio management, infrastructure, consulting, business division liaison, digital transformation, IT strategy, enterprise technology, IT contract and vendor management, and data office services. ## **Compensation and Benefits:** The State of North Carolina offers excellent comprehensive benefits. Employees can participate in health insurance options, standard and supplemental retirement plans, and the NCFlex program (numerous high-quality, low-cost benefits on a pre-tax basis). Employees also receive paid vacation, sick, and community service leave. In addition, paid parental leave is available to eligible employees. Visit the website for [State Benefits](https://oshr.nc.gov/state-employee-resources/benefits) _._ ## **Supplemental Contact Information** The North Carolina Department of Health and Human Services (DHHS) is an Equal Opportunity Employer that embraces an Employment First philosophy, which consists of complying with all federal laws, state laws, and Executive Orders. We are committed to reviewing requests for reasonable accommodation at any time during the hiring process or while on the job. For more information about DHHS: _._ DHHS uses the Merit-Based Recruitment and Selection Plan to fill positions subject to the State Human Resources Act with the most qualified individuals. Hiring salary will be based on relevant qualifications, internal equity, and budgetary considerations pertinent to the advertised position. In accordance with the Governor’s [Executive Order 303](https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgovernor.nc.gov%2Fexecutive-order-no-303%2Fopen&data=05%7C02%7Csamantha.costa%40commerce.nc.gov%7C62856c4dc3364b9449f608dc5b2499a8%7C7a7681dcb9d0449a85c3ecc26cd7ed19%7C0%7C0%7C638485459976214045%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=QMPRMksyCzARBEP8pjuvnhayVBx9Y4Lqv2x7mTq6S%2B4%3D&reserved=0), our agency supports second-chance employment for individuals who were previously incarcerated or justice-involved. We invite all potential applicants to apply for positions for which they may be qualified. __Application Process__ **Be sure to complete the application in its entirety.** _Resumes will not be accepted in lieu of completing this application._ * Information should be provided in the appropriate areas, to include the following: Education, including high school and all degrees obtained, Work Experience, and Certificates & Licenses. It is critical to our screening and salary determination process that applications contain comprehensive candidate information. * Answers to Supplemental Questions are not a substitute for providing all relevant information within the body of your application. To receive credit for the supplemental questions, you must provide supporting information within the \"Work Experience\" section of the application, to support your answers. * If multiple applications are submitted to an individual posting, only the most recent application received prior to the closing date will be accepted. Applications must be submitted by 5:00 PM on the closing date. * Applicants _may_ be subject to a criminal background check. All candidates selected for positions considered \"Positions of Trust\" _will be_ subject to a criminal background check. * Due to the volume of applications received, we are unable to provide information regarding the status of your application over the phone. To check the status of your application, please log in to your account. Upon the closing date, applications are \"Under Review\" and will be screened by Human Resources for qualified applicants. The hiring process may take several weeks. * Degrees must be received from appropriately accredited institutions. Transcripts and degree evaluations may be uploaded with your application. The State of North Carolina/Office of State Human Resources uses the National Association of Credential Evaluation Services (NACES) as a referral resource for applicants who need to have their credentials certified as equivalent. * For a list of organizations that perform this specialized service, please visit the NACES membership website at _._ __Degree/College Credit Verification__ Degrees must be received from appropriately accredited institutions. _Transcripts, degree evaluations and cover letters may be uploaded with your application._ __Veteran’s and National Guard Preference__ * Applicants seeking Veteran's Preference must attach a DD-214 Member-4 Form (Certificate of Release or Discharge from Active Duty) to their applications. * Applicants seeking National Guard Preference must attach an NGB 23A (RPAS), along with the state application if they are a current member of the NC National Guard in good standing. * Applicants who are former members of either the NC Army National Guard or the NC Air National Guard, with honorable discharge and six years of creditable service, must attach a copy of the DD 256 or NGB 22, along with the state application. __ADA Accommodations__ Consistent with the Americans with Disabilities Act (ADA) and the Pregnant Workers Fairness Act (PWFA), DHHS is committed to the full inclusion of all qualified individuals. As part of this commitment, DHHS will ensure that people with disabilities, or known limitations covered by the PWFA, are provided with reasonable accommodation. If reasonable accommodation is needed to participate in the job application or interview process, please contact the person indicated below. __CONTACT INFORMATION:__ If there are any questions about this posting, please contact Talent Acquisition at [talentacquisition@dhhs.nc.gov](mailto:talentacquisition@dhhs.nc.gov)._**Resumes will not be accepted in lieu of completing this application.**_ **Minimum Education and Experience** Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. Bachelor's degree in computer science or an IT related field or other related technical degree from an appropriately accredited institution and six years progressive experience including at least three years of experience in supervisory capacity **OR** Associate degree in computer science or an IT related field or other related technical degree from an appropriately accredited institution and seven years progressive experience including at least three years of experience in supervisory capacity **OR** An equivalent combination of education and experience. **EEO Statement** The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. **Recruiter:** Tresha Walker **Email:** talentacquisition@dhhs.nc.gov", "summaryDescription" : "Applications Systems Manager II at The Nc Dhhs Information Technology Division. Skills: Application management, Software development, IT leadership. Supervise application development staff. Oversee recruitment", "postedDate" : "2026-06-12T04:13:32.756", "createdAt" : "2026-06-12T04:13:32.648", "lastUpdated" : "2026-06-14T23:32:21.399", "ingestTimestamp" : "2026-06-12T04:13:32.648", "mongoId" : "6a2b035374d8ee00a074f1f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wake-County-NC/Applications-Systems-Manager-II_JR-100791", "salaryAnnualMin" : 105341, "salaryAnnualMax" : 184345, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Application development", "Software engineering", "Architecture", "System integration", "Conflict resolution", "Leadership", "Application management", "Software development", "IT leadership", "Software design", "Product strategy", "Lifecycle oversight", "Agile software development", "Project estimation", "Energy Assistance", "Special Assistance", "Health and human services" ], "skillCount" : 17, "jobCategory" : "other", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 772.54626, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a2a908c74d8ee00a068bbad", "title" : "Staff Applications Engineer, GTM Systems", "company" : "HackerOne", "industry" : "Enterprise Data & AI", "salary" : { "min" : 191000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Austin", "locations" : [ "Austin", "San Francisco", "Seattle", "Washington DC", "Boston" ], "certifications" : [ "Salesforce Advanced Administrator", "Salesforce Platform App Builder", "Salesforce Business Analyst" ], "timestamp" : "2026-06-13T06:42:33.241", "fingerprint" : "0e90059edc44f97376adad7ee29f5ec995c430d9ee73b2c90901218083a926ee", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hackerone/62c0d421-71f7-43c0-989d-dc89782041d7/application", "externalId" : "62c0d421-71f7-43c0-989d-dc89782041d7", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Salesforce, Clay, Marketo, Workato, AI", "professionalSkills" : [ "GTM systems strategy", "Roadmap development", "Data-Driven Decision Making", "Change Agility", "Operational efficiency", "Forecasting accuracy", "Revenue execution", "System design", "Platform modernization" ], "hardSkillsList" : [ "Salesforce Flow development", "Apex development" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Salesforce Flow development", "level" : "intermediate" }, { "name" : "Apex development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "GTM Systems, AI-native GTM, Salesforce", "majorSkillsList" : [ "GTM Systems", "AI-native GTM", "Salesforce" ], "coreResponsibilities" : "Lead end-to-end design and delivery of scalable GTM, Lead end-to-end design and delivery of secure GTM, Lead end-to-end design and delivery of intelligent GTM, Embed AI First principles into workflows, Embed AI First principles into architecture, Embed AI First principles into operational processes, Own and evolve architecture across Salesforce platforms, Redesign legacy processes, Redesign legacy systems, Drive GTM systems strategy, Drive roadmap development, Apply First Principles Problem Solving to deconstruct challenges, Design scalable solutions, Improve operational efficiency, Improve forecasting accuracy, Improve revenue execution, Demonstrate Change Agility, Lead platform modernization efforts, Help stakeholders navigate evolving business requirements, Build repeatable frameworks, Partner across business teams, Partner across engineering teams, Partner across operations teams, Identify high-leverage opportunities for automation, Identify high-leverage opportunities for integration, Identify high-leverage opportunities for AI-powered capabilities, Provide technical leadership, Provide mentorship to internal engineers, Provide mentorship to external development partners, Establish standards, Establish best practices, Establish scalable operating models, Champion operational excellence, Implement robust automation, Implement governance, Implement documentation, Implement incident management, Implement change management processes", "teamCollaboration" : "Executive stakeholders; Business teams; Engineering teams; Operations teams; Internal engineers; External development partners", "projectManagementSkills" : [ "Roadmap development", "Agile", "Iterative development" ], "domainKnowledge" : "GTM motion; AI Security Testing; Offensive security; AI systems; Quote-to-cash; CPQ workflows", "domainList" : [ "gtm-motion", "ai-security-testing", "offensive-security", "ai-systems", "quote-to-cash", "cpq-workflows" ], "domainSpecificKnowledge" : [ "GTM motion", "AI Security Testing", "Offensive security", "AI systems", "Quote-to-cash", "CPQ workflows" ], "toolProficiency" : [ "Salesforce Sales Cloud", "Salesforce Experience Cloud", "Salesforce CPQ", "Clay", "Marketo", "Workato" ], "communicationSkills" : "Executive communication; Present complex technical concepts; Present data-driven recommendations", "innovationCreativity" : "AI First principles", "problemSolvingSkills" : "First Principles Problem Solving; Data-Driven Decision Making", "outcomesObjectives" : "Maximize automation; Maximize scalability; Maximize business impact; Reduce manual effort; Improve decision quality; Elevate engineering quality; Ensure systems are resilient; Ensure systems are trusted; Ensure systems are broadly adopted", "qualificationsBasic" : "12+ years experience in Engineering, Systems Engineering, Business Systems, Computer Science, or related technical field, Extensive hands-on expertise with Salesforce Sales Cloud, Extensive hands-on expertise with Salesforce Experience Cloud, Extensive hands-on expertise with Salesforce CPQ, Extensive hands-on expertise with Clay, Extensive hands-on expertise with Marketo, Extensive hands-on expertise with modern integration and automation platforms, Demonstrated experience building AI-enabled workflows, Demonstrated experience building AI-enabled automations, Demonstrated experience building AI-enabled business systems, Proven ability to solve highly ambiguous and complex business challenges, Experience leveraging metrics, analytics, and business insights, Proven success leading large-scale system transformations, Excellent written communication skills, Excellent verbal communication skills, Excellent executive communication skills", "qualificationsPreferred" : "Salesforce Advanced Administrator certification, Salesforce Platform App Builder certification, Salesforce Business Analyst certification, Background in GTM operations and strategy, Direct exposure to quote-to-cash, Direct exposure to CPQ workflows, Experience with Mac operating systems, Experience working with Agile processes, Experience working with iterative development processes", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com http://Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. STAFF APPLICATIONS ENGINEER, GTM SYSTEMS REMOTE LOCATION: BOSTON, MA; SEATTLE, WA; SAN FRANCISCO BAY AREA; AUSTIN, TX; OR WASHINGTON, DC POSITION SUMMARY HackerOne is seeking a Staff Applications Engineer, GTM Systems who understands the end-to-end GTM motion, sees how business goals translate into process and system design, and brings hands-on expertise across a modern GTM tech stack, including Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, and Marketo. Reporting to the Vice President of Enterprise Data & AI, this role offers a unique opportunity to partner directly with our CEO and SVP of GTM Operations. Join our Enterprise Data & AI team to be the technical leader driving the strategy, design, and implementation of AI native GTM systems. You’ll be a strategic collaborator, helping define and drive the roadmap, not just execute it. At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. WHAT YOU WILL DO Success in the Staff Applications Engineer, GTM Systems role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne. - Lead the end-to-end design and delivery of scalable, secure, and intelligent GTM systems that support HackerOne’s transformation into an AI-native organization, embedding AI First principles into workflows, architecture, and operational processes. - Own and evolve the architecture across Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, Marketo, and adjacent platforms, redesigning legacy processes and systems to maximize automation, scalability, and business impact through AI First thinking. - Drive GTM systems strategy and roadmap development by partnering closely with executive stakeholders, including the CEO and SVP of GTM Operations, applying Data-Driven Decision Making to prioritize investments, measure outcomes, and continuously improve business performance. - Apply First Principles Problem Solving to deconstruct complex GTM challenges, identify root causes, and design simple, scalable solutions that improve operational efficiency, forecasting accuracy, and revenue execution. - Demonstrate Change Agility by leading platform modernization efforts, helping stakeholders navigate evolving business requirements, and building repeatable frameworks that enable teams to adapt quickly to changing priorities and market conditions. - Partner across business, engineering, and operations teams to identify high-leverage opportunities for automation, integration, and AI-powered capabilities that reduce manual effort and improve decision quality. - Provide technical leadership and mentorship to internal engineers and external development partners, establishing standards, best practices, and scalable operating models that elevate engineering quality across GTM systems. - Champion operational excellence through robust automation, governance, documentation, incident management, and change management processes, ensuring systems are resilient, trusted, and broadly adopted across the organization. MINIMUM QUALIFICATIONS - 12+ years of experience in Engineering, Systems Engineering, Business Systems, Computer Science, or a related technical field, with a demonstrated track record of designing, building, and scaling enterprise GTM platforms. - Extensive hands-on expertise with Salesforce Sales Cloud (including Flow and Apex development), Experience Cloud, CPQ, Clay, Marketo, and modern integration and automation platforms such as Workato. - Demonstrated experience building AI-enabled workflows, automations, and business systems, with an AI First mindset focused on improving scalability, efficiency, and business outcomes. - Proven ability to solve highly ambiguous and complex business challenges using First Principles Problem Solving, translating strategic goals into scalable technical solutions. - Strong experience leveraging metrics, analytics, and business insights to influence priorities, evaluate outcomes, and drive Data-Driven Decision Making across cross-functional stakeholders. - Proven success leading large-scale system transformations and navigating organizational change through Change Agility, maintaining momentum and stakeholder alignment in dynamic environments. - Excellent written, verbal, and executive communication skills, including the ability to present complex technical concepts and data-driven recommendations to senior leaders. PREFERRED QUALIFICATIONS - Salesforce Advanced Administrator, Platform App Builder, and/or Business Analyst certification - Background in GTM operations and strategy with direct exposure to quote-to-cash and CPQ workflows - Experience with Mac operating systems - Experience working with Agile and iterative development processes Compensation Bands: Tier Guide https://drive.google.com/file/d/1CpnuHvyv3ldvgWy7FIttnkH7b0txxuc3/view Tier A: $220-235k Tier B: $202-235k Tier C: $191-233k #LI-KM1 #LI-Remote JOB BENEFITS: - Health (medical, vision, dental), life, and disability insurance* - Equity stock options - Retirement plans - Paid public holidays and unlimited PTO - Paid maternity and parental leave - Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) - Employee Assistance Program *Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com https://remote.com/preemployment-faq as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.", "summaryDescription" : "Staff Applications Engineer, GTM Systems at HackerOne. Skills: GTM Systems, AI-native GTM, Salesforce. Lead end-to-end design and delivery of scalable GTM. Lead end-to-end design and delivery of secure GTM", "postedDate" : "2026-06-11T17:08:47.362", "createdAt" : "2026-06-11T17:08:47.362", "lastUpdated" : "2026-06-13T06:42:33.241", "ingestTimestamp" : "2026-06-11T17:08:47.362", "mongoId" : "6a2a908c74d8ee00a068bbad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 191000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Salesforce Flow development", "Apex development", "Leadership", "Mentorship", "GTM Systems", "AI-native GTM", "Salesforce", "GTM systems strategy", "Roadmap development", "Data-Driven Decision Making", "Change Agility", "Operational efficiency", "Forecasting accuracy", "Revenue execution", "System design", "Platform modernization", "Agile", "Iterative development", "GTM motion", "AI Security Testing", "Offensive security", "AI systems", "Quote-to-cash", "CPQ workflows", "Salesforce Advanced Administrator", "Salesforce Platform App Builder", "Salesforce Business Analyst", "Salesforce Sales Cloud", "Salesforce Experience Cloud", "Salesforce CPQ", "Clay", "Marketo", "Workato" ], "skillCount" : 33, "jobCategory" : "data-science", "jobSubcategory" : "enterprise-data-&-ai", "dataQualityScore" : 1.0, "_score" : 750.09503, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity" }, { "id" : "6a2ab4da74d8ee00a06db258", "title" : "LOGFAS Instructor", "company" : "Spektrum", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level LOGFAS Instructor in Oeiras, Portugal, adjusted for the government industry." }, "location" : "Leeds, England, United Kingdom", "locations" : [ "Leeds", "England", "United Kingdom" ], "certifications" : [ "LOGFAS Fundamental and Data Operator course", "LOGFAS Movement Execution and Coordination course", "LOGFAS Operational Movement Planning Course", "LOGFAS Sustainment Planning and Distribution course", "LOGFAS Staff Officer Course", "LOGFAS Strategic Deployment and Movement Planning Advanced Course" ], "timestamp" : "2026-06-14T22:18:31.622", "fingerprint" : "f0cdcb4404653bde0a0943ed597d9c520c1bbd29c3a6442ef09662cc3fa68a7e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://spektrum-group.com/jobs?gh_jid=4890738101", "externalId" : "4890738101", "structuredLocations" : [ { "city" : "Oeiras", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.6925777,-9.3123076" } ], "locationText" : "Oeiras, Portugal", "technicalSkills" : "LOGFAS applications", "professionalSkills" : [ "Cyber Security", "Satellite Communications", "Electronic Warfare", "Information Management", "C3 capability deliverer", "CIS service provider" ], "hardSkillsList" : [ "Training delivery" ], "hardSkills" : [ { "name" : "Training delivery", "level" : "intermediate" } ], "majorSkills" : "LOGFAS applications, Training delivery", "majorSkillsList" : [ "LOGFAS applications", "Training delivery" ], "coreResponsibilities" : "Prepare training on LOGFAS applications, Deliver training on LOGFAS applications, Provide interoperability training, Support LOGFAS Section Head, Plan LOGFAS iterations, Coordinate LOGFAS iterations, Ensure business continuity, Support other courses with LOGFAS lessons, Prepare training environment, Coordinate training preparation, Develop training delivery methods, Apply training delivery methods, Produce visual aids, Produce audio-visual aids, Produce multimedia aids, Produce teaching notes, Produce handouts, Apply Academy Quality Assurance Policies, Contribute to Course Control Documentation, Deputize for higher-grade staff", "domainKnowledge" : "NATO Operations Planning Process; NATO enterprise-wide information technology; NATO C3 capability; NATO CIS service", "domainList" : [ "nato-operations-planning-process", "nato-enterprise-wide-information-technology", "nato-c3-capability", "nato-cis-service" ], "domainSpecificKnowledge" : [ "NATO Operations Planning Process", "NATO enterprise-wide information technology", "NATO C3 capability", "NATO CIS service" ], "toolProficiency" : [ "LOGFAS applications" ], "documentationSkills" : "Teaching notes; Handouts; Course Control Documentation", "specialRequirements" : "Onsite work, Some travel required, Valid National or NATO Secret personal security clearance", "qualificationsBasic" : "Experience delivering training to adult learners, Proven ability to convey knowledge, Knowledge of NATO Operations Planning Process, Experience working with LOGFAS applications, Qualification in LOGFAS Fundamental and Data Operator course, Qualification in LOGFAS Movement Execution and Coordination course, Qualification in LOGFAS Operational Movement Planning Course, Qualification in LOGFAS Sustainment Planning and Distribution course, Qualification in LOGFAS Staff Officer Course, Qualification in LOGFAS Strategic Deployment and Movement Planning Advanced Course, Valid National or NATO Secret personal security clearance", "workSiteFlexibility" : "Onsite", "rawDescription" : "Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium. The NCIA provides a wide range of services, including: Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats. Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations. Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces. Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks. Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers. Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities. The program Assistance and Advisory Service (AAS) The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V. To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)' s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce. Role ID – C004916 Role Duties and Responsibilities Prepare, maintain and deliver theoretical and practical training on all LOGFAS applications, including interoperability training, at NCI Academy or at customers' location in mobile training teams. Support the LOGFAS Section Head in planning and coordination of LOGFAS iterations and ensure business continuity for the LOGFAS Section. Support other courses with LOGFAS related lessons, if required. Prepare the training environment, including coordinating the preparation for trainings at customers' location. Develop and apply suitable training delivery methods for classroom, remote, online and blended learning. Produce the required visual, audio-visual or multimedia aids including teaching notes and handouts. Apply Academy Quality Assurance Policies. Contribute to Course Control Documentation in accordance with SAT procedures. Deputize for higher-grade staff, if required. The incumbent may be required to perform a similar range of duties Essential Skills, Experience and Certifications Experience in delivering training to adult learners and a proven ability to convey. Knowledge of NATO Operations Planning Process Experience in working with LOGFAS applications Qualification in on or more of the LOGFAS courses: LOGFAS Fundamental and Data Operator course LOGFAS Movement Execution and Coordination course LOGFAS Operational Movement Planning Course LOGFAS Sustainment Planning and Distribution course LOGFAS Staff Officer Course LOGFAS Strategic Deployment and Movement Planning Advanced Course Working Location Oeiras, Portugal Working Policy Onsite Travel Some travel to other NATO sites may be required Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you, please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.", "summaryDescription" : "LOGFAS Instructor at Spektrum. Skills: LOGFAS applications, Training delivery. 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Manchester, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Azure, GCP", "professionalSkills" : [ "Enterprise security", "Cloud architecture", "Technical pre-sales", "Security architecture", "Solutions architecture", "Field CTO", "Pre-sales engineer", "Regulatory compliance", "Data protection", "Network architecture", "EU data residency", "Data retention", "Zero Data Retention", "Cross-border data transfers", "API security", "Authentication", "Authorization", "Audit logging", "Integration patterns" ], "hardSkillsList" : [ "Network security", "Encryption", "Audit/logging requirements", "Data residency", "Data retention", "Zero Data Retention", "International transfers", "DPIAs" ], "softSkillsList" : [ "Collaborative mindset" ], "hardSkills" : [ { "name" : "Network security", "level" : "intermediate" }, { "name" : "Encryption", "level" : "intermediate" }, { "name" : "Audit/logging requirements", "level" : "intermediate" }, { "name" : "Data residency", "level" : "intermediate" }, { "name" : "Data retention", "level" : "intermediate" }, { "name" : "Zero Data Retention", "level" : "intermediate" }, { "name" : "International transfers", "level" : "intermediate" }, { "name" : "DPIAs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Collaborative mindset" } ], "majorSkills" : "AI Security, Enterprise Security, Regulatory Compliance", "majorSkillsList" : [ "AI Security", "Enterprise Security", "Regulatory Compliance" ], "coreResponsibilities" : "Serve as security and compliance expert, Address technical questions about Claude, Partner with CISOs, Understand security requirements, Design solutions meeting regulatory standards, Lead technical deep-dives, Support enterprise security reviews, Support vendor assessments, Support due diligence, Guide customers through EU AI Act readiness, Guide customers through DORA, Guide customers through NIS2, Position Anthropic in competitive landscape, Collaborate with Sales teams, Collaborate with Applied AI teams, Partner with product teams, Partner with engineering teams, Relay customer feedback, Influence roadmap, Develop security-focused collateral, Develop reference architectures, Develop best practices, Travel regularly across EMEA, Conduct security workshops, Conduct architecture reviews, Conduct strategic account meetings", "teamCollaboration" : "Sales and Applied AI teams; Product and engineering teams", "domainKnowledge" : "Enterprise security; Cloud architecture; GDPR; EU AI Act; DORA; NIS2; SOC 2; PCI-DSS; European financial services; European insurance; Cloud deployment models; European sovereign cloud", "domainList" : [ "enterprise-security", "cloud-architecture", "gdpr", "eu-ai-act", "dora", "nis2", "soc-2", "pci-dss", "european-financial-services", "european-insurance", "cloud-deployment-models", "european-sovereign-cloud" ], "domainSpecificKnowledge" : [ "Enterprise security", "Cloud architecture", "GDPR", "EU AI Act", "DORA", "NIS2", "SOC 2", "PCI-DSS", "European financial services", "European insurance", "Cloud deployment models", "European sovereign cloud" ], "communicationSkills" : "Explain complex security topics", "specialRequirements" : "Travel regularly across EMEA", "qualificationsBasic" : "7+ years enterprise security, 7+ years cloud architecture, 7+ years technical pre-sales, Deep technical knowledge enterprise security, Deep working knowledge GDPR, Track record leading complex engagements", "qualificationsPreferred" : "Fluent additional European languages, Good understanding EMEA enterprise AI market, Familiarity with EU AI Act", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at the largest financial institutions, insurers, and other highly regulated enterprises across EMEA to address their most critical questions about deploying Claude safely and securely — including the security capabilities of our latest generations of Claude models. This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer, what matters is that you understand how large European institutions evaluate and adopt technology, and can speak credibly to their security and compliance concerns. This is a senior role: you will own our most complex and escalated security conversations in the region, often as the decisive technical voice in front of a CISO. We are looking for someone excited to help define how European enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? How do you deploy frontier models in line with GDPR, EU data residency, and the EU AI Act? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you. Responsibilities: Serve as the primary security and compliance expert in customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models. Partner with CISOs, security architects, compliance teams, and DPOs to understand their security requirements and design solutions that meet European regulatory standards (GDPR, EU AI Act, DORA, NIS2, SOC 2, PCI-DSS, and national regulator expectations). Lead technical deep-dives on network architecture, EU data residency, data retention and Zero Data Retention (ZDR) policies, cross-border data transfers, API security, authentication/authorization, audit logging, and integration patterns for regulated environments. Support enterprise security reviews, vendor assessments, and due diligence with detailed technical documentation and expert guidance. Guide customers through EU AI Act readiness, DORA, and NIS2, and position Anthropic within the European competitive landscape. Collaborate with Sales and Applied AI teams from initial conversations through deployment. Partner closely with Anthropic’s product and engineering teams to understand Claude's security capabilities, relay customer feedback, and influence the roadmap. Develop security-focused collateral, reference architectures, and best practices for regulated industries. Travel regularly across EMEA for security workshops, architecture reviews, and strategic account meetings. You may be a good fit if you have: 7+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries in EMEA (financial services, insurance, healthcare). Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements. Deep working knowledge of GDPR (data residency, data retention and Zero Data Retention, international transfers, DPIAs) and strong familiarity with the EU AI Act as it applies to foundation models. Experience navigating compliance frameworks relevant to European financial services and insurance (DORA, NIS2, SOC 2, PCI-DSS, and national regulators' guidance on AI/ML such as FCA/PRA, BaFin, ACPR, FINMA). A track record of leading complex, high-stakes engagements with CISOs, security teams, and compliance officers at large European enterprises. Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, hybrid connectivity, and the European sovereign cloud landscape. Excellent communication skills: able to explain complex security topics to technical and non-technical audiences. Fluent English; additional European languages are a strong plus. A good understanding of the EMEA enterprise AI market and competitive landscape. The ability to navigate ambiguity and move fast in a rapidly evolving market. A collaborative mindset: sales at Anthropic is a team sport. Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000—£225,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "Applied AI Security Architect at Anthropic. Skills: AI Security, Enterprise Security, Regulatory Compliance. Serve as security and compliance expert. 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"https://jobs.ashbyhq.com/megazone/cae79248-f874-4ceb-9ed5-88df7267d9d1/application", "externalId" : "cae79248-f874-4ceb-9ed5-88df7267d9d1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rochester", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.1572850,-77.6152140" } ], "locationText" : "Rochester, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Generative AI, Agentic AI, AWS, Google Cloud, Anthropic Claude Code, OpenAI Codex, AWS Kiro, Python, TypeScript, JavaScript, Java, Go, Amazon Bedrock, SageMaker, Google Vertex AI, IAM, LLMs, RAG, Serverless, Event-driven architectures, Vector databases", "professionalSkills" : [ "Customer success", "Solution architecture", "Change management", "Enterprise adoption", "Technical vision", "Adoption strategy" ], "hardSkillsList" : [ "Prompt engineering", "Infrastructure as code", "CI/CD", "DevSecOps", "FinOps", "Model routing", "SDLC integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "DevSecOps", "level" : "intermediate" }, { "name" : "FinOps", "level" : "intermediate" }, { "name" : "Model routing", "level" : "intermediate" }, { "name" : "SDLC integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI adoption, Agentic developer tooling, LLM-powered applications, Cloud AI services", "majorSkillsList" : [ "AI adoption", "Agentic developer tooling", "LLM-powered applications", "Cloud AI services" ], "coreResponsibilities" : "Embed with customer teams, Translate business problems into AI architectures, Own AI outcomes end to end, Design LLM-powered applications, Build LLM-powered applications, Deploy LLM-powered applications, Integrate with client data stores, Integrate with client APIs, Integrate with client security controls, Stand up AWS environments for AI, Stand up Google Cloud environments for AI, Enable Amazon Bedrock, Configure Amazon Bedrock, Enable SageMaker, Configure SageMaker, Enable Google Vertex AI, Configure Google Vertex AI, Configure IAM roles, Configure networking, Configure model access, Configure service quotas, Drive enterprise adoption of agentic tooling, Secure rollout of agentic tooling, Manage identity isolation, Manage tenant isolation, Integrate agentic tooling with SDLC, Integrate agentic tooling with CI/CD, Enable developers with agentic tooling, Lead adoption, Lead change management, Build golden-path templates, Build enablement assets, Build team workflows, Define success metrics, Instrument success metrics, Iterate post-launch, Rapidly prototype proofs-of-concept, Iterate prototypes into production systems, Establish reusable accelerators, Establish reference implementations, Establish AI delivery harnesses, Champion shift-left security, Champion responsible AI, Champion FinOps practices for AI, Mentor engineers during build, Troubleshoot complex issues, Serve as escalation point, Support pursuit teams, Present technical vision, Present adoption strategy, Publish blog posts, Publish white papers, Publish internal knowledge articles", "teamCollaboration" : "Customer teams; Cloud engineers; Cross-functional teams", "domainKnowledge" : "Agentic developer tooling; Generative AI; Cloud-native architecture; Responsible AI; AI/ML services", "domainList" : [ "agentic-developer-tooling", "generative-ai", "cloud-native-architecture", "responsible-ai", "ai-ml-services" ], "domainSpecificKnowledge" : [ "Agentic developer tooling", "Generative AI", "Cloud-native architecture", "Responsible AI", "AI/ML services" ], "toolProficiency" : [ "Anthropic Claude Code", "OpenAI Codex", "AWS Kiro" ], "communicationSkills" : "Client-facing communication; Executive presentations; Technical vision; Adoption strategy", "documentationSkills" : "Technical writing; Architecture diagrams", "innovationCreativity" : "Rapidly prototyping; Prototype development", "problemSolvingSkills" : "Troubleshoot complex issues", "outcomesObjectives" : "Drive adoption of AI; Deliver production AI systems; Achieve measured adoption; Own outcomes that stick; Meet performance targets; Meet security targets; Meet cost-efficiency targets; Ensure AI solutions are genuinely used; Meet adoption targets; Meet business impact targets; Meet ROI targets", "qualificationsBasic" : "8–10+ years engineering production software, Hands-on experience building applications on AWS or Google Cloud, Demonstrated experience building with LLMs, Hands-on experience with agentic coding tools, Proficiency in Python, Proven client-facing communication skills, Experience mentoring engineers, Grasp of DevSecOps, SRE, and FinOps principles, Experience architecting data platforms, Integrate AI/ML services, Independently set up and configure cloud AI services", "qualificationsPreferred" : "Azure a plus, Experience leading technology-adoption programs, Experience leading developer-enablement programs, AWS Solutions Architect Professional certification, Google Professional Cloud Architect certification, Azure Solutions Architect Expert certification, AI/ML specialty certifications a plus", "rawDescription" : "JOB DESCRIPTION At MegazoneCloud, we help the world’s most innovative companies adopt AI that actually delivers — not pilots that stall, but production systems that get used. As an AI Forward Deployed Engineer (FDE), you embed directly with global clients to drive the adoption of leading AI platforms and agentic developer tooling: generative and agentic AI solutions on AWS and Google Cloud, and agentic coding tools from Anthropic (Claude Code), OpenAI (Codex), and AWS (Kiro). You sit at the intersection of engineering and customer success — rapidly prototyping, integrating with client environments, and owning solutions from proof-of-concept through production and into real, measured adoption. This is an ownership role: you are accountable for outcomes that stick, not just deliverables that ship. You’ll apply best-practice automation — infrastructure as code (IaC), CI/CD, and DevSecOps — to deliver AI workloads that meet demanding performance, security, and cost-efficiency targets. KEY RESPONSIBILITIES • Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations — owning the outcome end to end. • Design, build, and deploy LLM-powered applications — including RAG pipelines, agentic workflows, and orchestration frameworks — integrated with client data stores, APIs, and security controls. • Stand up the AWS and Google Cloud environments needed for AI services — enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup. • Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity. • Lead adoption and change management — build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered. • Define and instrument success — adoption, business impact, and ROI metrics — and iterate post-launch until targets are met. • Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer. • Establish reusable accelerators, reference implementations, and AI delivery harnesses applicable across engagements. • Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model-routing discipline. • Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers. • Serve as an escalation point during go-live and hyper-care. • Support pursuit teams with solution diagrams, scoping, and engagement estimation. • Present technical vision and adoption strategy to C-suite and enterprise architects. • Publish blog posts, white papers, and internal knowledge articles. QUALIFICATIONS • 8–10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform — AWS or Google Cloud preferred (Azure a plus). • Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) — prompt engineering, RAG, and agentic systems. • Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization. • Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go). • Proven client-facing communication skills — able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence. • Experience mentoring engineers. • Strong grasp of DevSecOps, SRE, and FinOps principles. • Experience architecting data platforms and integrating AI/ML services. • Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud — self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers. • Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases. • Experience leading technology-adoption or developer-enablement programs is a strong plus. • Bachelor’s degree in Computer Science or similar. • Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus. WHY YOU'LL LOVE IT HERE - Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth. - True Servant Leadership: Our CTO leads with a \"force multiplier\" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves. - Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems. - A \"Learn-from-it\" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures. We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed. Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.", "summaryDescription" : "Sr. AI FDE at MegazoneCloud. Skills: AI adoption, Agentic developer tooling, LLM-powered applications, Cloud AI services. Embed with customer teams. Translate business problems into AI architectures", "createdAt" : "2026-06-13T22:28:39.244", "lastUpdated" : "2026-06-15T08:17:19.158", "ingestTimestamp" : "2026-06-13T22:28:39.244", "mongoId" : "6a2cd6cf74d8ee00a0a3f592", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Infrastructure as code", "CI/CD", "DevSecOps", "FinOps", "Model routing", "SDLC integration", "Leadership", "AI adoption", "Agentic developer tooling", "LLM-powered applications", "Cloud AI services", "Customer success", "Solution architecture", "Change management", "Enterprise adoption", "Technical vision", "Adoption strategy", "Generative AI", "Cloud-native architecture", "Responsible AI", "AI/ML services", "AWS Solutions Architect Professional", "Google Professional Cloud Architect", "Azure Solutions Architect Expert", "Anthropic Claude Code", "OpenAI Codex", "AWS Kiro" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 710.8877, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e8174d8ee00a0952aea", "title" : "Machine Learning and AI Engineer", "company" : "Reflexivity", "industry" : "FinTech", "salary" : { "min" : 180000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T03:31:37.500", "fingerprint" : "777f7da6fa24246d3e12956b250e317d61e583fe40c85b82ae9c42c643957d86", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://reflexivity.firststage.co/jobs?gh_jid=5018731007", "externalId" : "5018731007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Golang, OpenAI, Gemini, Anthropic", "professionalSkills" : [ "Investment insights", "Reasoning engines", "Market impact", "Signal quality", "Long-term maintainability" ], "hardSkillsList" : [ "ML systems", "Applied AI", "Inference pipelines", "Model accuracy" ], "hardSkills" : [ { "name" : "ML systems", "level" : "intermediate" }, { "name" : "Applied AI", "level" : "intermediate" }, { "name" : "Inference pipelines", "level" : "intermediate" }, { "name" : "Model accuracy", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Applied AI, LLM systems", "majorSkillsList" : [ "Machine Learning", "Applied AI", "LLM systems" ], "coreResponsibilities" : "Design ML systems, Fine-tune ML systems, Deploy ML systems, Build inference pipelines, Maintain inference pipelines, Integrate OpenAI models, Integrate Gemini models, Integrate Anthropic models, Productionize models in Golang-based services, Improve signal quality, Review code, Review designs", "teamCollaboration" : "Backend engineers; In-office team", "domainKnowledge" : "Market catalysts; Proprietary data; Finance", "domainList" : [ "market-catalysts", "proprietary-data", "finance" ], "domainSpecificKnowledge" : [ "Market catalysts", "Proprietary data", "Finance" ], "toolProficiency" : [ "Cursor", "Claude" ], "problemSolvingSkills" : "Hard problems", "outcomesObjectives" : "Ship meaningful improvements; Improve insight quality; Improve latency measurably; Raise the bar for AI", "qualificationsBasic" : "5 plus years building ML, Startup experience, Python skills, Hands-on experience with AI-assisted coding tools, Fintech experience, Personal investment background, Comfortable owning outcomes", "qualificationsPreferred" : "Experience with LLM reasoning systems, Experience with knowledge graphs, Exposure to Golang-based ML integrations, Prior experience supporting investor-facing products", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "You have built real AI systems that ship, break, and get fixed under pressure. You care less about model demos and more about decisions that move capital. You want your work used daily by professional investors, not buried in notebooks. You are comfortable owning hard problems end to end. If you want a calm job optimizing benchmarks, this is not it. The Role, In Plain English You will build and evolve the AI systems that power Reflexivity’s investment insights. This role exists because off-the-shelf models and generic pipelines are not enough. You will work at the intersection of reasoning engines, proprietary data, and real market impact. Your work directly affects how investors understand earnings, risk, and market catalysts. What You’ll Be Responsible For Design, fine-tune, and deploy ML and LLM-driven systems used in production by professional investors Build and maintain inference pipelines that are fast, observable, and reliable Integrate OpenAI, Gemini, and Anthropic models into reasoning and knowledge systems Work closely with backend engineers to productionize models in Golang-based services Improve signal quality, not just model accuracy Review code and designs with a bias toward long-term maintainability What “Good” Looks Like in This Role After 3 months: You understand the product, data flows, and investor use cases deeply. You ship meaningful improvements. After 6 months: You own major parts of the AI stack. Your work improves insight quality and latency measurably. After 12 months: You are a technical reference point for AI decisions. You raise the bar for how AI is built at Reflexivity. Who You Are (Must-Haves) 5 plus years building ML or applied AI systems in production Startup experience working on a core product, not a side project Strong Python skills and experience integrating with backend systems Hands-on experience with AI-assisted coding tools like Cursor or Claude Code Fintech experience or strong personal investment background Comfortable owning outcomes, not just tasks Nice-to-Haves (Not Deal Breakers) Experience with LLM reasoning systems or knowledge graphs Exposure to Golang-based ML integrations Prior experience supporting investor-facing products How We Work In-office team with high trust and high ownership Direct communication, minimal process, strong opinions backed by data Engineers are expected to think about product impact, not just code We move fast when it matters and slow down when correctness matters more Why This Role Is Worth Your Time Direct influence on how professional investors make decisions Hard problems at the edge of AI, data, and finance Real ownership and technical autonomy Senior peers who care about quality and outcomes Compensation & Practicalities Base salary: $180,000 to $300,000 depending on experience Equity included In-office role based in New York No agency candidates Salary Range $180,000—$300,000 USD", "summaryDescription" : "Machine Learning and AI Engineer at Reflexivity. Skills: Machine Learning, Applied AI, LLM systems. Design ML systems. Fine-tune ML systems", "postedDate" : "2026-06-13T22:29:59.296", "createdAt" : "2026-06-13T22:29:59.296", "lastUpdated" : "2026-06-15T03:31:37.500", "ingestTimestamp" : "2026-06-13T22:29:59.296", "mongoId" : "6a2c7e8174d8ee00a0952aea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 300000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "ML systems", "Applied AI", "Inference pipelines", "Model accuracy", "Machine Learning", "LLM systems", "Investment insights", "Reasoning engines", "Market impact", "Signal quality", "Long-term maintainability", "Market catalysts", "Proprietary data", "Finance", "Cursor", "Claude" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 701.2718, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c96f074d8ee00a0990d51", "title" : "Applications Engineer", "company" : "Efficient Computer", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Jose, CA", "locations" : [ "San Jose", "CA" ], "timestamp" : "2026-06-15T05:19:13.934", "fingerprint" : "08fb6bc5cd0c0b323ae2d6bc859d953e70f2cf98d41dae6fb900ea3e93a4aee8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/efficientcomputer/jobs/4284052009", "externalId" : "4284052009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Embedded systems, Software development, Firmware development, Embedded computing platforms, Board design, System integration, AI/ML frameworks", "professionalSkills" : [ "Application engineering", "Customer engagement", "Technical resource", "Solution delivery", "Product improvement" ], "hardSkillsList" : [ "Embedded systems development", "Software development", "Firmware development", "Board design", "System integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Embedded systems development", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Board design", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Embedded systems, Application engineering, Customer engagement, Software development", "majorSkillsList" : [ "Embedded systems", "Application engineering", "Customer engagement", "Software development" ], "coreResponsibilities" : "Partner with customers, Understand customer applications, Understand customer requirements, Understand system challenges, Design embedded solutions, Implement embedded solutions, Align solutions with customer needs, Serve as technical resource, Integrate Efficient hardware, Develop software, Optimize software, Develop firmware, Optimize firmware, Work across embedded stack, Deliver efficient solutions, Own reference design development, Own demo development, Own technical collateral development, Showcase Efficient technology, Support customers development lifecycle, Provide field feedback, Guide product improvements, Guide feature development", "teamCollaboration" : "Internal architecture teams; Internal hardware teams; Internal software teams", "domainKnowledge" : "Embedded computing systems; Energy-efficient computing; Perpetual intelligence; Pervasive intelligence; AI/ML on battery; IoT data capture; IoT data curation", "domainList" : [ "embedded-computing-systems", "energy-efficient-computing", "perpetual-intelligence", "pervasive-intelligence", "ai-ml-on-battery", "iot-data-capture", "iot-data-curation" ], "domainSpecificKnowledge" : [ "Embedded computing systems", "Energy-efficient computing", "Perpetual intelligence", "Pervasive intelligence", "AI/ML on battery", "IoT data capture", "IoT data curation" ], "communicationSkills" : "Explain complex concepts", "documentationSkills" : "Technical collateral", "innovationCreativity" : "Develop groundbreaking hardware", "problemSolvingSkills" : "Solve technical challenges", "specialRequirements" : "U. S. citizenship required, Travel up to 30%+", "qualificationsBasic" : "Bachelor's or Master's degree, 3+ years embedded systems development, Software and firmware development background, Hands-on embedded platforms experience, Board design understanding, Embedded system integration understanding, Application engineering track record, Customer-facing technical roles track record, Excellent communication skills, Ability to explain complex concepts, Willingness to travel 30%+", "qualificationsPreferred" : "Solutions engineering experience, Field application engineering experience, Customer-facing embedded development experience, Experience building reference designs, Experience building developer kits, Familiarity with performance trade-offs, Familiarity with power trade-offs, Familiarity with efficiency trade-offs, Ability to work independently, Work in fast-moving environments, Work in ambiguous environments", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution Efficient Computer is seeking a Applications Engineer to bridge the gap between our groundbreaking hardware and real-world customer applications. In this role, you will design and implement embedded computing solutions tailored to customer use cases, enabling them to fully leverage the power of Efficient’s architecture. If you thrive on solving technical challenges, enjoy working hands-on with both hardware and software, and love collaborating directly with customers to bring solutions to life, this is the role for you. You will play a critical part in ensuring our customers succeed across a wide range of embedded platforms and applications. Key Responsibilities Customer Engagement & Application Engineering Partner directly with customers to understand their applications, requirements, and system challenges Design and implement board-level and embedded solutions that align with customer needs Serve as a trusted technical resource in customer interactions, helping them integrate Efficient hardware into their products Technical Development & Integration Develop and optimize software and firmware on a variety of embedded computing platforms Work across the full embedded stack—board design, firmware, and software—to deliver robust, efficient solutions Collaborate with internal architecture, hardware, and software teams to refine customer-facing solutions Solution Delivery & Enablement Own the development of reference designs, demos, and technical collateral to showcase Efficient’s technology in real-world scenarios Support customers throughout the development lifecycle—from initial design to final deployment Provide feedback from the field to guide future product improvements and feature development Required Qualifications & Experience Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field 3+ years of experience in embedded systems development, with strong background in software and firmware development Hands-on experience with multiple embedded platforms Strong understanding of board design and embedded system integration Proven track record in application engineering or customer-facing technical roles Excellent communication skills with the ability to explain complex technical concepts to a variety of audiences Willingness to travel to customer sites, Efficient offices, and industry events as needed (up to 30%+ of your time) Certain assignments for customers may require candidates to hold U. S. citizenship. Desired Qualifications Prior experience in solutions engineering, field application engineering, or customer-facing embedded development Experience building reference designs or developer kits for embedded platforms Familiarity with performance, power, and efficiency trade-offs in embedded computing systems Demonstrated ability to work independently in fast-moving, ambiguous environments We offer a competitive salary for this role, generally ranging from $160,000 to $210,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate. Why Join Efficient? Efficient offers a competitive compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility. We are committed to personal and professional development and strive to grow together as people and as a company.", "summaryDescription" : "Applications Engineer at Efficient Computer. Skills: Embedded systems, Application engineering, Customer engagement, Software development. Partner with customers. Understand customer applications", "postedDate" : "2026-06-14T03:29:52.684", "createdAt" : "2026-06-14T03:29:52.684", "lastUpdated" : "2026-06-15T05:19:13.934", "ingestTimestamp" : "2026-06-14T03:29:52.684", "mongoId" : "6a2c96f074d8ee00a0990d51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Embedded systems development", "Software development", "Firmware development", "Board design", "System integration", "Leadership", "Embedded systems", "Application engineering", "Customer engagement", "Technical resource", "Solution delivery", "Product improvement", "Embedded computing systems", "Energy-efficient computing", "Perpetual intelligence", "Pervasive intelligence", "AI/ML on battery", "IoT data capture", "IoT data curation" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 701.1371, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6274d8ee00a0911fdb", "title" : "Senior AI Engineer", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Engineer in the United States, adjusted for remote work and the healthcare industry." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T04:20:52.096", "fingerprint" : "b028abb3e42386fcd1834002cf423e3f506db8f07be464563d663b9a186eba0d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4680769006", "externalId" : "4680769006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, LLM, RAG, OpenAI, Anthropic, Embeddings, Vector stores", "professionalSkills" : [ "System design", "Cost efficiency", "Evaluation frameworks" ], "hardSkillsList" : [ "Prompt engineering", "Tool use", "Function calling", "Structured outputs", "RAG pipelines", "Embeddings", "Vector stores", "Retrieval optimization", "Grounding", "Agent orchestration", "Planning", "Memory", "Error recovery", "Human-in-the-loop" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Structured outputs", "level" : "intermediate" }, { "name" : "RAG pipelines", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Vector stores", "level" : "intermediate" }, { "name" : "Retrieval optimization", "level" : "intermediate" }, { "name" : "Grounding", "level" : "intermediate" }, { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" }, { "name" : "Memory", "level" : "intermediate" }, { "name" : "Error recovery", "level" : "intermediate" }, { "name" : "Human-in-the-loop", "level" : "intermediate" } ], "majorSkills" : "AI agents, LLM workflows, RAG systems", "majorSkillsList" : [ "AI agents", "LLM workflows", "RAG systems" ], "coreResponsibilities" : "Design clinical AI agents, Build clinical AI agents, Deploy clinical AI agents, Reason over patient context, Invoke tools, Generate care recommendations, Own reliability, Own observability, Own cost efficiency, Build RAG pipelines, Optimize RAG pipelines, Develop evaluation frameworks, Design agent orchestration, Collaborate with clinical teams, Collaborate with product teams, Collaborate with engineering teams, Translate care needs, Stay at forefront of AI, Raise bar on quality, Raise bar on performance, Raise bar on architecture", "teamCollaboration" : "Clinical teams; Product teams; Engineering teams", "domainKnowledge" : "Clinical data; Clinical Intelligence platform; Clinical knowledge bases; Treatment protocols; Medicare seniors; Chronic disease; Hypertension; Heart failure; Diabetes; Health system EMRs; HIPAA; SOC 2; Clinical data handling", "domainList" : [ "clinical-data", "clinical-intelligence-platform", "clinical-knowledge-bases", "treatment-protocols", "medicare-seniors", "chronic-disease", "hypertension", "heart-failure", "diabetes", "health-system-emrs", "hipaa", "soc-2", "clinical-data-handling" ], "domainSpecificKnowledge" : [ "Clinical data", "Clinical Intelligence platform", "Clinical knowledge bases", "Treatment protocols", "Medicare seniors", "Chronic disease", "Hypertension", "Heart failure", "Diabetes", "Health system EMRs", "HIPAA", "SOC 2", "Clinical data handling" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Surface proactive care recommendations; Take action on behalf of clinicians", "qualificationsBasic" : "Bachelor's or Master's degree, 5+ years software engineering, 2+ years AI/ML production, Hands-on LLM APIs, Prompt engineering, Tool use / function calling, Structured outputs, Experience building RAG systems, Embeddings, Vector stores, Retrieval optimization, Grounding", "qualificationsPreferred" : "Agent frameworks or orchestration patterns, Fine-tuning experience, Healthcare or regulated-industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Senior AI Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you. What You'll Do Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations. Own reliability, observability, and cost efficiency of LLM-powered workflows at scale. Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data. Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD. Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths. Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design. Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture. What You Need Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience 5+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $180,000 – $245,000 annual base salary, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Senior AI Engineer at Cadence Solutions. Skills: AI agents, LLM workflows, RAG systems. Design clinical AI agents. Build clinical AI agents", "postedDate" : "2026-06-14T20:03:29.387", "createdAt" : "2026-06-14T20:03:29.387", "lastUpdated" : "2026-06-16T04:20:52.096", "ingestTimestamp" : "2026-06-14T20:03:29.387", "mongoId" : "6a2c6b6274d8ee00a0911fdb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Tool use", "Function calling", "Structured outputs", "RAG pipelines", "Embeddings", "Vector stores", "Retrieval optimization", "Grounding", "Agent orchestration", "Planning", "Memory", "Error recovery", "Human-in-the-loop", "AI agents", "LLM workflows", "RAG systems", "System design", "Cost efficiency", "Evaluation frameworks", "Clinical data", "Clinical Intelligence platform", "Clinical knowledge bases", "Treatment protocols", "Medicare seniors", "Chronic disease", "Hypertension", "Heart failure", "Diabetes", "Health system EMRs", "HIPAA", "SOC 2", "Clinical data handling" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 698.40045, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b1974d8ee00a094862f", "title" : "Lead Instructor", "company" : "Correlation One", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Instructor in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T03:12:07.877", "fingerprint" : "2bc00bc7a96e4644bfeae5e506cd73675aaef7cb403f24fba29d9420d1086ef0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/expertnetwork/jobs/5822625004", "externalId" : "5822625004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "CORRELATION ONE Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. As the largest training provider for Amazon Career Choice, and a growing partner to state governments building registered apprenticeship programs, Correlation One sits at the intersection of employer talent needs and scalable workforce training. We work with Fortune 500 enterprises, federal and state government agencies, and leading employers to close skills gaps in AI, data analytics, cybersecurity, and operations leadership. Our programs produce job-ready graduates who are prepared to contribute from day one. Job Summary: Lead Instructors at Correlation One are responsible for delivering high-quality, live, virtual instruction and partnering with company personnel to drive exceptional learning outcomes. Their main focus as educators is to conduct large synchronous online lectures on technical content, training anywhere from 100 to 8,000+ diverse learners at a time, depending on the program. This role involves preparing and leading virtual classroom sessions, collaborating with operations personnel, and contributing to the overall success of the program. Program Specific Information: Program dates: June 6 - November 16, 2026. Lecture days/time: Mondays, Tuesdays and Thursdays from 19:00 - 21:30 AEST (5:00am - 7:30am ET) Virtual Classroom Leadership: Prepare and lead virtual classroom sessions for a range of learners. Oversee the management of class time Q&A and monitor chat flow, and overall class energy and engagement dynamics Collaboration: Collaborate closely with Correlation One operations personnel to ensure smooth program delivery and adherence to schedules. Be flexible in contributing to classes during weekdays and/or weekends, as program schedules vary. Assist in lesson design, development, and improvement which may include tracking edits, suggestions, or changes to curriculum as needed Expectations: In addition to the core responsibilities, Lead Instructors are expected to adhere to the following expectations: Professionalism: Interact professionally with learners, Correlation One staff, additional contractors, and guest speakers, maintaining a high level of courtesy and respect. Lecture Preparation: Diligently and adequately prepare for lectures to ensure the delivery of high-quality content. Dynamic Online PresenceResponsiveness and Empathy: Be highly responsive and empathetic to learners, providing thoughtful answers and assistance throughout the lesson Adjust the lesson pace and presentation to meet the needs of diverse learners while also maintaining responsibility for timely delivery of the prepared content. Exhibit an energy, pacing, and ability to make complex topics accessible and maintain strong learner engagement Communication: Communicate respectfully, recognizing that online or written communication may lack tone. Maintain extra communicative contact with Correlation One personnel. Positive Attitude: Foster a healthy learning environment by maintaining a positive attitude and promoting a culture of learning. Course Improvement: Contribute to course improvement by providing thoughtful and transparent feedback to the Correlation One team. Your expertise Persona: A Senior Engineer or Tech Lead who thrives on 'live-fire' debugging and mentoring rather than prepared lectures. Enjoys teaching total beginners, likes gamification and non-linear lesson progressions. Core Technical Skills: The Full Stack: Proficiency in Python, JavaScript, SQL, Linux. Best practices: Highly knowledgeable in best engineering practices and heuristics. The programme was built around the book Code that Fits in your Head, by Mark Seemann, so candidates could read it as preparation for their application. Workflow & CI/CD: Mastery of Red/Green TDD (Test-Driven Development) and Git/GitHub (Branching, PRs, Actions). AI Integration: Experience with Gemini CLI and Google AI Studio. These are the AI-assisted coding tools that we will use throughout the programme. Infrastructure: Hands-on experience with Docker, Cloudflare, and Google Cloud Run, but deep expertise not required. Instructional Style: Comfortable running gamified 'Missions' or 'Simulations' (e.g., handling a simulated system outage or a 'Bank Heist' coding challenge). Ability to conduct rigorous Oral Defenses of student code to ensure comprehension of AI-generated snippets. Charismatic, fun, approachable. The 'fun' part is non-negotiable. GitHub Foundations (GH-900) and/or OpenEDG JS Institute — JSE certification is an asset Where you are This role is remote and can be located anywhere that is compatible with the Australian Eastern Standard Time (AEST) time zone. Compensation The compensation range for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets. This includes the 2.5 hour lecture, prep time, and a weekly meeting with C1 staff. Correlation One’s Commitment Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants to bring their unique skills, experiences, and outlook to our work environment. Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidates@correlation-one.com. #noad #LI-DNI", "summaryDescription" : "Lead Instructor at Correlation One", "postedDate" : "2026-06-14T21:29:51.411", "createdAt" : "2026-06-14T21:29:51.411", "lastUpdated" : "2026-06-16T03:12:07.877", "ingestTimestamp" : "2026-06-14T21:29:51.411", "mongoId" : "6a2c7b1974d8ee00a094862f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 693.81604, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c60e574d8ee00a08f3838", "title" : "Computer Information Systems/Information Technology/Cybersecurity Instructor", "industry" : "Education", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Computer Information Systems/Information Technology/Cybersecurity Instructor in Columbus, United States, adjusted for industry and seniority." }, "location" : "Columbus, GA", "locations" : [ "Columbus, GA" ], "timestamp" : "2026-06-15T09:26:56.870", "fingerprint" : "da507d464558f5b30e8a4a230d9e41bf9e3a3fd932ba4fc3eeca227c6c6402b5", "source" : "jazzhr", "language" : "en", "externalId" : "9mhWrNWlJV", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.4610708,-84.9880449" } ], "locationText" : "Columbus, Georgia, United States", "employmentType" : "FULL_TIME", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Computer Information Systems/Information Technology/Cybersecurity Instructor", "createdAt" : "2026-06-14T07:08:00.061", "lastUpdated" : "2026-06-15T09:26:56.870", "ingestTimestamp" : "2026-06-14T07:08:00.061", "mongoId" : "6a2c60e574d8ee00a08f3838", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 685.60443, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c780674d8ee00a093df54", "title" : "Instructor", "industry" : "Instructor", "salary" : { "min" : 25000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry level Instructor in Naples, United States, adjusted for the Sports & Fitness industry and part-time employment." }, "location" : "Naples, FL", "locations" : [ "Naples, FL" ], "certifications" : [ "CPR/AED certification" ], "timestamp" : "2026-06-15T22:34:44.619", "fingerprint" : "eb4278a57b95ab3681cb6ef12795339839577dd931246cbf8e9394efe9ec5570", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jetsetpilates/53db7f0b-7154-4f69-b358-62dc719e5487/apply", "externalId" : "53db7f0b-7154-4f69-b358-62dc719e5487", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Naples", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.1421976,-81.7942944" } ], "locationText" : "Naples, Florida, United States", "employmentType" : "PART_TIME", "coreResponsibilities" : "Motivate clients through classes, Guide clients safely and effectively, Show clients modifications, Provide form corrections, Provide support to clients, Provide encouragement to clients, Embody culture and brand, Support welcoming community, Invest in team, Assume other duties as assigned, Lead fast-paced class with music, Lead class with high energy", "teamCollaboration" : "Fosters studio community; Reliable team player", "domainKnowledge" : "Modern Pilates workout", "domainList" : [ "modern-pilates-workout" ], "domainSpecificKnowledge" : [ "Modern Pilates workout" ], "specialRequirements" : "Work early morning shifts, Work evening shifts, Work weekend shifts", "qualificationsBasic" : "Previous fitness instructor experience, Current CPR/AED certification required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description JETSET Pilates Instructors motivate clients through 50-minutes, choreographed classes. They are responsible for guiding clients safely and effectively through our modern Pilates workout and showing them modifications and form corrections as needed. Instructors are expected to be able to provide support and encouragement to clients of varying skill levels. They embody the culture and brand to support a welcoming and engaging community. JETSET Pilates instructors are dedicated individuals who are invested in their team and the workout; they occasionally assume other duties as assigned and are expected to work early morning, evening, and weekend shifts as necessary. ## Duties and Responsibilities Embodies a friendly, outgoing, and passionate personality with a love for health, fitness, and the JETSET Pilates workout.Fosters a sense of community in the studio. Thrives in a fast-paced environment. Has previous fitness instructor experience. Builds relationships inside and outside the JETSET Pilates community. Reliable and professional team player with a positive attitude. Comfortable leading a fast-paced class with music and high energy.Current CPR/AED certification required.", "summaryDescription" : "Instructor. Motivate clients through classes. 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Senior team members", "projectManagementSkills" : [ "Agile", "Sprint cadence" ], "domainKnowledge" : "AI assistant systems; Real estate title; Settlement industry; Retrieval-Augmented Generation (RAG); Vector index; Multi-tenant architecture; LLM workloads; Zero-data-retention", "domainList" : [ "ai-assistant-systems", "real-estate-title", "settlement-industry", "retrieval-augmented-generation-rag", "vector-index", "multi-tenant-architecture", "llm-workloads", "zero-data-retention" ], "domainSpecificKnowledge" : [ "AI assistant systems", "Real estate title", "Settlement industry", "Retrieval-Augmented Generation (RAG)", "Vector index", "Multi-tenant architecture", "LLM workloads", "Zero-data-retention" ], "toolProficiency" : [ "Terraform", "AWS CDK", "GitHub Actions", "AWS CodePipeline", "OpenSearch", "Pinecone", "CloudWatch", "X-Ray", "Cognito", "Okta", "Azure AD", "AWS Textract" ], "qualificationsBasic" : "6+ years in DevOps, AWS specialisation required, Infrastructure-as-code experience, CI/CD tooling experience, Core AWS services experience, Multi-tenant cloud environments experience, Tenant-level data isolation experience, Production AI workloads experience, LLM-based workloads experience", "qualificationsPreferred" : "Enterprise SSO experience, Identity federation experience, HIPAA background, SOC 2 background, Regulated-data cloud environment configuration background, OCR service infrastructure familiarity, Document processing service infrastructure familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! About the Project Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation. You stand up and own the cloud infrastructure and CI/CD foundation the entire project runs on. Your work is on the critical path from day one: delivery begins with environment provisioning. You design for tenant isolation, observability, and security from the outset not as an afterthought. This role requires prior experience operating infrastructure for production AI or LLM-based workloads. Your Responsibilities * Provision and configure a dedicated VPC and segmented cloud environment on AWS * Build the baseline CI/CD pipeline and maintain and evolve it across all delivery phases * Configure and manage the vector store infrastructure (OpenSearch/Pinecone on AWS) * Set up and manage the observability stack: CloudWatch, X-Ray, alerting thresholds, and LLM-specific monitoring * Implement infrastructure-as-code for all environments (dev, staging, production) using Terraform or CDK * Manage secrets, KMS encryption key configuration, and tenant-scoped access controls * Configure LLM provider connectivity (OpenAI / Anthropic / Amazon Bedrock enterprise tier, zero-data-retention) * Define and implement environment promotion strategy aligned with the 2-week sprint cadence * Support incremental ingestion pipeline infrastructure requirements and nightly scheduling ## Qualifications Must-Have Skills & Experience * 6+ years in DevOps or cloud infrastructure engineering; strong AWS specialisation required * Infrastructure-as-code: Terraform, CloudFormation, or AWS CDK * CI/CD tooling: GitHub Actions, AWS CodePipeline, or equivalent * Core AWS services: VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray * Experience designing and operating multi-tenant cloud environments with tenant-level data isolation ## Additional Information Nice-to-Have * Experience with enterprise SSO and identity federation: Cognito, Okta, or Azure AD * Background in HIPAA, SOC 2, or regulated-data cloud environment configuration * Familiarity with OCR or document processing service infrastructure (AWS Textract, etc.) We are accepting applications from LATAM countries #LI-DNI", "summaryDescription" : "Senior QA Automation Engineer (AI Systems) at Software Mind. 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Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T13:53:59.675", "fingerprint" : "4fe7dc81e7b3227ad5e765893bbcdfaec99061fa14f6733f3d39e88a6f568e83", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34432", "externalId" : "34432", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "AI, DevOps, Cloud", "professionalSkills" : [ "Strategic planning", "Project management", "Budget allocation", "Resource allocation", "Vendor management", "Contract negotiation", "Performance management", "Change management", "Organizational change" ], "hardSkillsList" : [ "Solutions delivery", "AI technologies", "IT governance", "Service management" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Solutions delivery", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" }, { "name" : "IT governance", "level" : "intermediate" }, { "name" : "Service management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Applications Solutions, Strategic planning, AI technologies", "majorSkillsList" : [ "Applications Solutions", "Strategic planning", "AI technologies" ], "coreResponsibilities" : "Provide strategic direction, Lead teams, Envision technical roadmap, Execute technical roadmap, Manage multiple teams, Align projects with objectives, Establish strategic plan, Develop policies, Develop procedures, Establish priorities, Establish standards, Establish measurement tools, Coordinate program activities, Evaluate program activities, Approve budgets, Supervise work of others, Develop strategic plans, Execute strategic plans, Build relationships, Maintain relationships, Drive technology implementation, Optimize existing systems, Oversee IT governance, Manage outsourcing relationships, Oversee AI use, Develop AI vision, Execute AI roadmap, Manage teams, Design AI solutions, Develop AI solutions, Deploy AI solutions, Identify AI technologies, Evaluate AI technologies, Determine business impact, Ensure responsible AI use, Ensure ethical AI use, Adhere to data privacy, Adhere to security, Integrate AI into business, Communicate AI value, Assist customers, Define technology projects, Serve as liaison", "teamCollaboration" : "Business area leaders; IT teams; Cross-functional leaders; State agency partners", "projectManagementSkills" : [ "Project management methodologies", "Agile", "Waterfall", "Hybrid methodologies" ], "domainKnowledge" : "Software development lifecycle; Enterprise application platforms; AI technologies; Data privacy; Security", "domainList" : [ "software-development-lifecycle", "enterprise-application-platforms", "ai-technologies", "data-privacy", "security" ], "domainSpecificKnowledge" : [ "Software development lifecycle", "Enterprise application platforms", "AI technologies", "Data privacy", "Security" ], "communicationSkills" : "Executive presentations; Strategic insights", "continuousLearning" : "Training opportunities; Development opportunities", "innovationCreativity" : "Champion for innovation; Innovative technologies; Creative application", "problemSolvingSkills" : "Complex problems", "specialRequirements" : "Texas resident, Relocate to Texas, Security sensitive position", "qualificationsBasic" : "8+ years technical delivery, 5+ years leadership capacity, Six years agency oversight, Three years administrative management", "qualificationsPreferred" : "Knowledge of state procurement, Knowledge of project requirements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is based at 1411 Brazos Street, Austin in the Information Technology Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: As Deputy Chief Information Officer (CIO) of Applications Solutions (AS), you'll provide strategic direction and leadership to teams responsible for the entire lifecycle of our critical applications – from initial intake and monitoring to upgrades, maintenance, releases, and project management. You will envision and execute the department's technical roadmap, managing multiple teams on projects aligned with our core business objectives and strategic priorities. You'll be a champion for innovation, a builder of strong relationships, and a driving force in ensuring our technology solutions meet the evolving needs of our organization. WHAT YOU WILL DO: The Deputy CIO Applications Solutions (Director III) performs highly advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Work involves establishing the strategic plan and goals and objectives; developing policies, procedures, and guidelines; establishing priorities, standards, and measurement tools for determining progress in meeting goals; coordinating and evaluating program activities and/or business functions; and reviewing and approving budgets within departments or divisions. Supervises the work of others. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Develop and execute strategic plans and objectives, aligned with the overall organizational goals. -Establish priorities, standards, and measurement tools to ensure successful program execution and goal attainment. -Lead the development and management of the budget, ensuring responsible resource allocation and cost-effectiveness. -Build and maintain strong relationships with business area leaders and IT teams, fostering a collaborative environment to achieve shared objectives. -Drive the implementation of innovative technologies and optimize existing systems. -Oversee the enterprise IT governance process, ensuring alignment with best practices and compliance standards. -Manage outsourcing relationships to ensure high customer satisfaction, adherence to service level agreements, and compliance with contractual obligations. -Oversee the agency’s use of Artificial Intelligence (AI) including developing and executing the agency’s AI vision and roadmap to drive innovation; manage a teams to design, develop, and deploy AI-powered solutions; identify and evaluate emerging AI technologies and trends to determine their business impact and feasibility; ensure the responsible and ethical use of AI, adhering to data privacy and security best practices; collaborate with cross-functional leaders to integrate AI into business processes; and communicate the value of AI initiatives to executive leadership and stakeholders. -Assist customers in defining technology projects that are in alignment with business and administrative functions, including Legislative Appropriation Requests (LAR) projects. -Serve as a liaison with state agency partners. YOU ARE A GREAT FIT WITH: -A proven track record of 8+ years in technical and solutions delivery, business, and management roles of increasing responsibility, with 5+ years in a leadership capacity. -Deep expertise in strategic planning, project management methodologies, resource and budget allocation, and leading teams to achieve IT solutions. -Strong understanding of the software development lifecycle, project management life cycle, enterprise application platforms, and service management best practices. -Experienced in overseeing vendor relationships, contract negotiations, and performance management for third-party technology providers. -Skilled in organizational change management related to large IT implementation projects. -Experienced with DevOps, Agile, Waterfall and Hybrid methodologies. -Experienced in identifying and solving complex problems through the creative application of innovative AI technologies. -Excel at building and mentoring high-performing, diverse technology teams, fostering a culture of innovation, collaboration, and continuous learning. -Possess exceptional communication and interpersonal skills, with the ability to facilitate cross-functional alignment and build consensus. -Comfortable representing IT in executive leadership forums, providing strategic insights and updates. -Knowledge of state procurement and project requirements. YOU QUALIFY WITH: -Six years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, three years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: -A Family Friendly Certified Workplace -Competitive starting salary: $10,000 - $13,000/month -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Deputy CIO Applications Solutions at Texas Workforce Commission. Skills: Applications Solutions, Strategic planning, AI technologies. Provide strategic direction. Lead teams", "createdAt" : "2026-06-14T05:57:36.536", "lastUpdated" : "2026-06-15T13:53:59.675", "ingestTimestamp" : "2026-06-14T05:57:36.536", "mongoId" : "69ce5df99bc74574cb671a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Solutions delivery", "AI technologies", "IT governance", "Service management", "Leadership", "Mentoring", "Applications Solutions", "Strategic planning", "Project management", "Budget allocation", "Resource allocation", "Vendor management", "Contract negotiation", "Performance management", "Change management", "Organizational change", "Project management methodologies", "Agile", "Waterfall", "Hybrid methodologies", "Software development lifecycle", "Enterprise application platforms", "Data privacy", "Security" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 672.2031, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c772a74d8ee00a093beb1", "title" : "Senior AI Engineer", "company" : "Allica Bank", "industry" : "Technology", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Engineer in Karnataka, India, adjusted for FinTech industry and company size." }, "location" : "Karnataka", "locations" : [ "Karnataka", "Delhi" ], "timestamp" : "2026-06-16T04:54:50.960", "fingerprint" : "408f31614962c41115ffe2badae69ad97d349caaf3cd6cfd6b34737d0d5829e0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/allica-bank/2ee90731-6b00-42fd-b969-59721213abdd/application", "externalId" : "2ee90731-6b00-42fd-b969-59721213abdd", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Karnataka", "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, OpenAI, Anthropic Claude, Embeddings, Vector databases, RAG, Semantic search, BigQuery", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Model evaluation", "Quality measurement", "Accuracy measurement", "Fairness measurement" ], "hardSkills" : [ { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Quality measurement", "level" : "intermediate" }, { "name" : "Accuracy measurement", "level" : "intermediate" }, { "name" : "Fairness measurement", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, LLM, Python", "majorSkillsList" : [ "AI Engineering", "LLM", "Python" ], "coreResponsibilities" : "Own AI systems, Turn Voice of Customer data into insight, Take problems from idea to production, Build systems running reliably, Build systems running safely, Decide what to build, Build what is decided, Deploy models, Version models, Monitor models, Build AI pipelines, Wire work into API, Wire work into interface, Evaluate models rigorously, Build pipelines to measure quality, Build pipelines to measure accuracy, Build pipelines to measure fairness, Weigh vendor options, Weigh open-source options, Take privacy seriously, Take bias seriously, Take safety seriously", "teamCollaboration" : "Direct line to CTO; Small senior team", "domainKnowledge" : "Fintech; Regulated bank; Financial services; Unstructured text", "domainList" : [ "fintech", "regulated-bank", "financial-services", "unstructured-text" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated bank", "Financial services", "Unstructured text" ], "communicationSkills" : "Translate technical ideas", "continuousLearning" : "Continued development opportunities", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Software engineering background, Deep proficiency in Python, Experience building LLM-powered tools, Experience shipping LLM agents, Hands-on experience with embeddings, Hands-on experience with vector databases, Hands-on experience with RAG, Hands-on experience with semantic search, Comfortable deploying models, Comfortable versioning models, Comfortable monitoring models, Experience with large-scale data platforms, Experience with cloud warehouses, Full-stack enough to wire work into API", "qualificationsPreferred" : "Experience with conversational data, Experience with call data, Experience with transcript data, Exposure to financial services, Exposure to regulated environment", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Allica Bank Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. The Opportunity Allica is the UK's fastest-growing fintech, built for a group everyone else overlooked: established SMEs — the businesses that make up a third of the economy yet have been underserved by high-street banks and consumer fintechs alike. Reporting directly to our CTO, you'll own the AI systems that turn our Voice of Customer data — the thousands of calls, conversations, and emails our customers have with us every day — into insight the whole bank can search, understand, and act on. It's a senior, hands-on role with real autonomy. You'll take problems from a rough idea through to systems running reliably and safely in production inside a regulated bank. You won't be working through someone else's backlog; you'll help decide what's worth building and then build it. What we’re looking for: We care far more about what you can do than how long you've done it. If most of the below describes you, we'd like to talk — you don't need every line. Core Experience - Strong software engineering background, with deep proficiency in Python. - Experience building and shipping LLM-powered tools or agents into production — using OpenAI, Anthropic's Claude, or open-source models — not just prototypes. - Hands-on experience and understanding of embeddings, vector databases, RAG and semantic search over large volumes of unstructured text. Engineering & Delivery - Comfortable deploying, versioning, and monitoring models in production. - Experience with large-scale data platforms or cloud warehouses (BigQuery or similar) to build and run AI pipelines. - Full-stack enough to wire your work into a usable API or interface end to end. Quality, safety & judgement - You evaluate models rigorously — building pipelines to measure quality, accuracy, and fairness, and weighing vendor against open-source options. - You take privacy, bias, and safety seriously, particularly where AI touches real customers in a regulated setting. Nice to have - Experience with conversational, call or transcript data - Exposure to financial services or another regulated environment How we'll work together You'll join a small, senior team with a direct line to the CTO and a clear mandate. We value people who are curious, take ownership, and can translate technical ideas into something the business understands and trusts. We move quickly, but we hold a high bar for quality and responsible deployment — because we're a bank, and our customers rely on us. Working at Allica Bank At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. Our employees are at the heart of everything we do, so our benefits are designed with you in mind: - Full onboarding support and continued development opportunities - Options for flexible working - Regular social activities - Pension contributions - Discretionary bonus scheme - Private health cover - Life assurance - Family friendly policies including enhanced Maternity & Paternity leave Don’t tick every box? Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you! Flexible working We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate. Diversity We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.", "summaryDescription" : "Senior AI Engineer at Allica Bank. Skills: AI Engineering, LLM, Python. Own AI systems. Turn Voice of Customer data into insight", "createdAt" : "2026-06-14T18:43:10.706", "lastUpdated" : "2026-06-16T04:54:50.960", "ingestTimestamp" : "2026-06-14T18:43:10.706", "mongoId" : "6a2c772a74d8ee00a093beb1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model evaluation", "Quality measurement", "Accuracy measurement", "Fairness measurement", "AI Engineering", "LLM", "Python", "System design", "Fintech", "Regulated bank", "Financial services", "Unstructured text" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 671.2679, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c799974d8ee00a0941fe9", "title" : "Technical Instructor", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technical Instructor in the US Technology industry, adjusted for a remote work mode and a large company size." }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "Elastic Certified Engineer", "Elastic Certified Observability Engineer", "Elastic Certified Analyst" ], "timestamp" : "2026-06-15T03:23:55.727", "fingerprint" : "e90980c20fd12e32e160baf20028bf463fb385330608a00e74360310ded78686", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8001435&gh_jid=8001435", "externalId" : "8001435", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "Elastic Search", "professionalSkills" : [ "Customer advocacy", "Relationship building" ], "hardSkillsList" : [ "Technical training delivery" ], "softSkillsList" : [ "Public speaking" ], "hardSkills" : [ { "name" : "Technical training delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Public speaking" } ], "majorSkills" : "Technical training, Curriculum development, Customer enablement", "majorSkillsList" : [ "Technical training", "Curriculum development", "Customer enablement" ], "coreResponsibilities" : "Deliver virtual training courses, Deliver on-site training courses, Teach technical concepts clearly, Teach technical concepts concisely, Teach technical concepts to large audiences, Teach technical concepts in an engaging manner, Collaborate with Curriculum team, Develop new courses, Update course releases, Collaborate with Training Operations team, Improve LMS processes, Improve virtual training platform processes, Mentor new instructors, Coach new instructors", "teamCollaboration" : "Curriculum team; Training Operations team; Distributed team", "domainKnowledge" : "Search; Observability; Security", "domainList" : [ "search", "observability", "security" ], "domainSpecificKnowledge" : [ "Search", "Observability", "Security" ], "toolProficiency" : [ "Learning Management System" ], "communicationSkills" : "Verbal communication; Written communication; Presentation skills", "specialRequirements" : "Travel globally up to 60%", "outcomesObjectives" : "Enable customers; Drive business value", "qualificationsBasic" : "2+ years education experience, Bachelor's degree in IT, Equivalent experience, Deep understanding of Elastic solutions, Experience as Technical Instructor, Experience as Consultant, Experience as Presales, Public speaker to technical audiences", "qualificationsPreferred" : "Elastic certifications, Experience in curriculum development, Contributing to open-source projects, Participating in community engagements", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Instructors play a key role at Elastic Education, and we have an opportunity for a new colleague to join the team. You will teach our customers how to best use Elastic products and solutions, helping them to become successful through the delivery of technical training programs. Besides teaching, you will closely collaborate with the Curriculum team to constantly review and improve training materials, and provide crucial input into crafting new training materials. Instructors also serve as ambassadors of Elastic. sful candidate will happily work on their own initiative and does not require micro-management. Do you want to be part of a passionate and distributed team that mostly works remotely, and loves to make an impact with our customers? If so, we are happy to consider you. Come join us at Elastic! What You Will Be Doing Deliver multi-day virtual and on-site Elastic training courses and workshops to enable our customers and drive business value Teach extremely technical concepts clearly and concisely to large audiences in an engaging manner Collaborate with the Curriculum team on the development of new courses and course release updates Collaborate with the Training Operations team for continuous improvement of our LMS (Learning Management System), virtual training platform and processes Mentor and coach new instructors Ability to work on your own initiative with fanatical attention to detail Strong customer advocacy, relationship building, and verbal and written communication skills Comfortable working remotely in a highly distributed team. Flexible attitude and willingness to accommodate and support changing priorities in a growing company Willing and able to travel globally up to 60%, primarily in the US What You Bring Experience as Technical Instructor, Consultant, Presales, or public speaker to technical audiences (engineers, developers, and other technical positions) on enterprise infrastructure software technology Excellent presentation and customer interaction skills, with the ability to explain complex topics in an easy-to-understand way Clear articulation and fluency in English Bachelor's degree (or higher) in information technology or computer science or equivalent experience Elastic certifications such as Elastic Certified Engineer, Elastic Certified Observability Engineer, Elastic Certified Analyst 2+ years of Education experience Deep understanding of Elastic solutions, such as search, observability, etc. Experience in curriculum development, contributing to open-source projects, or participating in community engagements (meetups, conferences, etc.) Strong interpersonal skills Ability to thrive in a fast-paced, constantly evolving environment Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $113,100—$178,900 USD The typical starting salary range for this role in the select locations listed above is: $135,900—$215,100 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Technical Instructor at Elastic. Skills: Technical training, Curriculum development, Customer enablement. Deliver virtual training courses. Deliver on-site training courses", "postedDate" : "2026-06-13T20:50:20.172", "createdAt" : "2026-06-13T20:50:20.172", "lastUpdated" : "2026-06-15T03:23:55.727", "ingestTimestamp" : "2026-06-13T20:50:20.172", "mongoId" : "6a2c799974d8ee00a0941fe9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Technical training delivery", "Public speaking", "Technical training", "Curriculum development", "Customer enablement", "Customer advocacy", "Relationship building", "Search", "Observability", "Security", "Elastic Certified Engineer", "Elastic Certified Observability Engineer", "Elastic Certified Analyst", "Learning Management System" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 665.2872, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5da874d8ee00a08dd903", "title" : "AI Systems QA Engineer", "company" : "Meltplan", "industry" : "Construction", "salary" : { "min" : 1850000.0, "max" : 3250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Systems QA Engineer in India, adjusted for the technology industry and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T01:05:36.913", "fingerprint" : "322adec99ae2de3fca68435597273645051ad07c5a06fc1ea9584dd118bf6b3c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/meltplan/jobs/4236360009", "externalId" : "4236360009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "technicalSkills" : "Python, API testing, NLP, Generative AI, Large Language Models, AI/ML", "professionalSkills" : [ "System testing", "Quality assurance", "Prompt engineering", "AI benchmarking", "Model validation", "Performance testing", "Regression testing", "Automated testing", "Prompt testing" ], "hardSkillsList" : [ "Evaluation frameworks", "Automated test pipelines", "Quality benchmarks", "Model outputs validation", "Prompt injection risks", "AI safety concepts", "Tokenization", "Embeddings", "Text generation", "Bias detection", "Model governance" ], "softSkillsList" : [ "Analytical skills", "Debugging skills", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Automated test pipelines", "level" : "intermediate" }, { "name" : "Quality benchmarks", "level" : "intermediate" }, { "name" : "Model outputs validation", "level" : "intermediate" }, { "name" : "Prompt injection risks", "level" : "intermediate" }, { "name" : "AI safety concepts", "level" : "intermediate" }, { "name" : "Tokenization", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Bias detection", "level" : "intermediate" }, { "name" : "Model governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Debugging skills" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "AI QA, LLM evaluation, System testing", "majorSkillsList" : [ "AI QA", "LLM evaluation", "System testing" ], "coreResponsibilities" : "Design evaluation frameworks, Develop evaluation frameworks, Execute evaluation frameworks, Perform end-to-end system testing, Perform regression testing, Perform performance testing, Validate model outputs, Build automated test pipelines, Build quality benchmarks, Collaborate with AI/ML engineers, Collaborate with product teams, Collaborate with platform engineers, Analyze failures, Identify root causes, Provide actionable feedback, Develop datasets, Develop prompts, Develop testing scenarios, Measure model performance, Monitor production performance, Improve evaluation metrics, Improve testing standards, Ensure compliance with responsible AI, Ensure compliance with quality assurance", "teamCollaboration" : "AI/ML engineers; Product teams; Platform engineers", "domainKnowledge" : "Large Language Models; Generative AI; AI safety; Model governance; NLP concepts; Construction industry", "domainList" : [ "large-language-models", "generative-ai", "ai-safety", "model-governance", "nlp-concepts", "construction-industry" ], "domainSpecificKnowledge" : [ "Large Language Models", "Generative AI", "AI safety", "Model governance", "NLP concepts", "Construction industry" ], "toolProficiency" : [ "OpenAI Evals", "LangSmith", "DeepEval", "Promptfoo", "Postman" ], "problemSolvingSkills" : "Analytical skills; Debugging skills; Problem-solving skills; Root cause analysis", "outcomesObjectives" : "Enhance accuracy; Enhance safety; Improve performance; Improve system reliability; Improve model behavior", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5–8 years of experience in QA/testing, Experience in AI/LLM evaluation frameworks, Experience in system testing, Hands-on experience with automated testing, Experience working with Python, Experience with testing frameworks", "qualificationsPreferred" : "Experience in AI/ML or data-driven systems, Exposure to OpenAI Evals, Exposure to LangSmith, Exposure to DeepEval, Exposure to Promptfoo, Worked in construction, Startup experience, Experience with Generative AI, Experience with conversational AI products, Knowledge of CI/CD pipelines, Knowledge of automation workflows, Prior experience in performance testing, Prior experience monitoring distributed systems, Understanding of AI product lifecycle, Understanding of production deployment environments", "rawDescription" : "MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really is : We are seeking a detail-oriented and technically strong AI QA Engineer to ensure the quality, reliability, and performance of Large Language Model (LLM)-based systems. In this role, you will be responsible for designing and executing test strategies, validating model outputs, and building evaluation frameworks to enhance the accuracy, safety, and overall performance of AI-driven applications.We would particularly value candidates who have hands-on experience in developing evaluation frameworks (evals) for AI systems, along with strong expertise in comprehensive system testing and quality assurance practices.You are responsible for making MeltPlan work in the real world. What You'll Do: Design, develop, and execute evaluation frameworks (Evals) for Large Language Models (LLMs) and AI systems. Perform end-to-end system testing, regression testing, and performance testing for AI-driven applications. Validate model outputs for accuracy, consistency, safety, hallucination detection, and edge cases. Build automated test pipelines and quality benchmarks for AI systems. Collaborate closely with AI/ML engineers, product teams, and platform engineers to improve system reliability. Analyze failures, identify root causes, and provide actionable feedback to improve model behavior. Develop datasets, prompts, and testing scenarios to measure model performance across multiple use cases. Monitor production performance and continuously improve evaluation metrics and testing standards. Ensure compliance with responsible AI and quality assurance best practices. What We're looking for: Bachelor’s degree in Computer Science, Engineering, or related field 5–8 years of experience in QA/testing, preferably in AI/ML or data-driven systems Strong experience in AI/LLM evaluation frameworks and system testing. Hands-on experience with automated testing methodologies and QA processes. Familiarity with prompt engineering, AI benchmarking, and model validation techniques. Experience working with Python and testing frameworks. Understanding of LLM behaviors, hallucinations, prompt injection risks, and AI safety concepts. Exposure to tools/frameworks such as OpenAI Evals, LangSmith, DeepEval, Promptfoo, or similar platforms is preferred. Strong analytical and debugging skills with attention to detail. Excellent collaboration and communication skills. Familiarity with Large Language Models and Generative AI concepts Experience with API testing tools (e.g., Postman) and automation frameworks Understanding of NLP concepts such as tokenization, embeddings, and text generation Strong analytical and problem-solving skills Experience testing AI/ML models or data pipelines Experience with prompt engineering and prompt testing Familiarity with cloud platforms (AWS, GCP, or Azure) Exposure to AI safety, bias detection, and model governance Bonus if you have: Have worked in construction or on project sites Have startup experience Experience working with Generative AI or conversational AI products. Knowledge of CI/CD pipelines and automation workflows. Prior experience in performance testing and monitoring distributed systems. Understanding of AI product lifecycle and production deployment environments. We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems. Why meltplan Massive industry, real-world impact High ownership from day one Small team, zero bureaucracy Competitive comp + meaningful equity", "summaryDescription" : "AI Systems QA Engineer at Meltplan. Skills: AI QA, LLM evaluation, System testing. Design evaluation frameworks. Develop evaluation frameworks", "postedDate" : "2026-06-12T21:35:49.137", "createdAt" : "2026-06-12T21:35:49.137", "lastUpdated" : "2026-06-15T01:05:36.913", "ingestTimestamp" : "2026-06-12T21:35:49.137", "mongoId" : "6a2c5da874d8ee00a08dd903", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Evaluation frameworks", "Automated test pipelines", "Quality benchmarks", "Model outputs validation", "Prompt injection risks", "AI safety concepts", "Tokenization", "Embeddings", "Text generation", "Bias detection", "Model governance", "Analytical skills", "Debugging skills", "Problem-solving skills", "AI QA", "LLM evaluation", "System testing", "Quality assurance", "Prompt engineering", "AI benchmarking", "Model validation", "Performance testing", "Regression testing", "Automated testing", "Prompt testing", "Large Language Models", "Generative AI", "AI safety", "NLP concepts", "Construction industry", "OpenAI Evals", "LangSmith", "DeepEval", "Promptfoo", "Postman" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.7777778, "_score" : 664.8731, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction" }, { "id" : "6a2c799174d8ee00a0941e63", "title" : "Senior AI Engineer, Finance Systems", "company" : "Fanatics Collectibles", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T06:08:27.837", "fingerprint" : "156e58f4370a4a1edc6530632c534c1b93f6098f572dc95fce18a86bad5438a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4206398009", "externalId" : "4206398009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLMs, Python, Oracle, Snowflake, Sigma, Airtable, Notion", "professionalSkills" : [ "Business partnership", "Problem solving", "Technical execution", "Rapid iteration", "Workflow optimization", "Intelligent tooling", "Systems thinking" ], "hardSkillsList" : [ "AI application development", "Financial processes", "Operational priorities" ], "hardSkills" : [ { "name" : "AI application development", "level" : "intermediate" }, { "name" : "Financial processes", "level" : "intermediate" }, { "name" : "Operational priorities", "level" : "intermediate" } ], "majorSkills" : "AI, LLMs, Automation", "majorSkillsList" : [ "AI", "LLMs", "Automation" ], "coreResponsibilities" : "Partner with Strategic Finance and business teams, Identify inefficiencies and bottlenecks, Identify opportunities for AI-enabled solutions, Rapidly prototype solutions, Implement internal tools, Implement workflows, Implement automations, Implement dashboards, Implement operational systems, Build AI-native solutions, Leverage LLMs, Leverage intelligent automation, Leverage workflow orchestration, Leverage modern AI tooling, Improve operational speed, Improve visibility, Improve decision-making, Build integrations, Build connectors, Streamline workflows, Automate handoffs, Centralize information, Translate business problems into technical solutions, Develop fluency in business context, Develop fluency in financial processes, Develop fluency in operational priorities, Collaborate with stakeholders, Iterate quickly, Refine solutions, Work with engineering teams, Transition solutions to production, Evaluate emerging AI technologies, Experiment with AI tools, Experiment with AI frameworks, Improve internal capabilities, Improve operational leverage, Operate as technical partner, Shape solution strategy, Shape implementation priorities", "teamCollaboration" : "Business function teams; Strategic Finance; Finance stakeholders; Operations stakeholders; Technology stakeholders; Broader engineering teams", "domainKnowledge" : "Finance systems; Financial processes; Enterprise environments", "domainList" : [ "finance-systems", "financial-processes", "enterprise-environments" ], "domainSpecificKnowledge" : [ "Finance systems", "Financial processes", "Enterprise environments" ], "toolProficiency" : [ "Slack", "Microsoft 365" ], "innovationCreativity" : "AI-native builder", "problemSolvingSkills" : "Open-ended problem solving; Practical problem-solving; Simplify complex challenges", "outcomesObjectives" : "Create immediate business value; Drive measurable business impact; Improve operational speed; Improve visibility; Improve decision-making; Streamline workflows; Automate handoffs; Centralize information; Create leverage through automation; Create leverage through workflow optimization; Create leverage through intelligent tooling; Improve internal capabilities; Improve operational leverage", "qualificationsBasic" : "Demonstrated experience building and shipping software, Hands-on experience with modern AI tools, Experience rapidly prototyping and deploying business-facing technical solutions", "qualificationsPreferred" : "Prior exposure to finance or enterprise environments is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Senior AI Engineer, Finance Systems – Fanatics Collectibles Reporting to Finance Leadership and partnering directly with Strategic Finance and business function teams across the company, the Forward-Deployed AI Engineer will serve as an embedded AI-native builder — identifying high-impact problems and rapidly delivering practical technology solutions that create immediate business value. This is a highly hands-on role for someone who thrives in ambiguity, enjoys open-ended problem solving, and operates with a strong builder mentality. The ideal candidate is deeply fluent in modern AI capabilities, comfortable working across evolving technology stacks, and motivated by creating leverage through automation, workflow optimization, and intelligent tooling. Success in this role requires a balance of technical execution, business partnership, rapid iteration, and practical problem-solving. Solutions built in this role may range from lightweight operational tools and AI-enabled workflows to scalable systems that are later transitioned to broader engineering teams for long-term production support. Responsibilities: Partner directly with Strategic Finance and operational business teams to identify inefficiencies, bottlenecks, and high-impact opportunities for AI-enabled solutions. Rapidly prototype and implement internal tools, workflows, automations, dashboards, and operational systems that drive measurable business impact. Build AI-native solutions that leverage LLMs, intelligent automation, workflow orchestration, and modern AI tooling to improve operational speed, visibility, and decision-making. Build integrations and connectors across the tools and platforms each function relies on — including Slack, Microsoft 365, Oracle, Snowflake, Sigma, Airtable, and Notion — to streamline workflows, automate handoffs, and centralize information. Translate ambiguous business problems into practical technical solutions with a strong focus on speed, usability, and value creation. Quickly develop fluency in the business context, financial processes, and operational priorities of each function you support — enabling independent problem identification without hand-holding. Collaborate with finance, operations, and technology stakeholders to iterate quickly and refine solutions based on real-world feedback and evolving business needs. Work closely with broader engineering and technology teams to transition high-value solutions into scalable, production-ready systems when appropriate. Evaluate and experiment with emerging AI technologies, tools, and frameworks to continuously improve internal capabilities and operational leverage. Operate as a trusted technical partner to business leaders, helping shape solution strategy and implementation priorities. Qualifications & Experience: Demonstrated experience building and shipping software, automations, internal tools, or AI-enabled solutions — we care about what you’ve built and the impact it had, not how many years you’ve been doing it. Strong hands-on experience with modern AI tools, LLMs, agentic workflows, and practical AI application development. Experience rapidly prototyping and deploying business-facing technical solutions in fast-paced or ambiguous environments. Strong proficiency in modern programming languages and development frameworks such as Python, JavaScript/TypeScript, Node.js, or similar technologies. Experience integrating APIs, operational platforms, databases, and third-party business systems. Demonstrated ability to independently identify problems, architect solutions, and drive implementation with minimal oversight. Experience building dashboards, workflow automations, reporting tools, or operational systems that improve business processes and decision-making. Strong understanding of AI-assisted development workflows and modern productivity tooling. Ability to balance quick experimentation with thoughtful technical judgment and scalability considerations. Ability to quickly internalize financial processes, business metrics, and operational context — translating business problems into technical solutions without hand-holding. Prior exposure to finance or enterprise environments is a plus Skills & Abilities: AI-native mindset with strong curiosity around emerging technologies and practical AI applications. Strong builder mentality with a bias toward execution, iteration, and business impact. Comfortable operating in highly ambiguous, evolving, and fast-moving environments. Ability to simplify complex operational challenges into intuitive technical solutions. Strong communication and collaboration skills working directly with business stakeholders and leadership teams. High ownership mindset with the ability to independently drive projects from concept through implementation. Practical systems thinker who can balance speed, flexibility, and long-term value. Entrepreneurial, resourceful, and motivated by creating operational leverage through technology. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $150,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior AI Engineer, Finance Systems at Fanatics Collectibles. Skills: AI, LLMs, Automation. Partner with Strategic Finance and business teams. Identify inefficiencies and bottlenecks", "postedDate" : "2026-06-14T19:17:59.814", "createdAt" : "2026-06-14T19:17:59.814", "lastUpdated" : "2026-06-16T06:08:27.837", "ingestTimestamp" : "2026-06-14T19:17:59.814", "mongoId" : "6a2c799174d8ee00a0941e63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI application development", "Financial processes", "Operational priorities", "AI", "LLMs", "Automation", "Business partnership", "Problem solving", "Technical execution", "Rapid iteration", "Workflow optimization", "Intelligent tooling", "Systems thinking", "Finance systems", "Enterprise environments", "Slack", "Microsoft 365" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 663.1764, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bbe74d8ee00a09144c6", "title" : "HVAC Instructor", "company" : "Tidewater Tech", "industry" : "Education", "salary" : { "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Norfolk, VA (Branch)", "locations" : [ "Norfolk", "VA (Branch)" ], "certifications" : [ "OSHA 10-hour safety certification", "Environmental Protection Agency (EPA) refrigerant certification", "North American Technician Excellence certification" ], "timestamp" : "2026-06-15T08:25:24.335", "fingerprint" : "645dd620d0bed4a950ae2d4a524b90cfe68a9422ba6c0a74f542f2e9f144bae5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tidewatertech/jobs/5255522008", "externalId" : "5255522008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Norfolk", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8493695,-76.2899539" } ], "locationText" : "Norfolk, Virginia, United States", "technicalSkills" : "MS Office, Word, Excel, Outlook, SharePoint, Teams", "professionalSkills" : [ "Subject matter instruction", "Curriculum development", "Course material preparation", "Class scheduling", "Academic record maintenance", "Attendance record maintenance", "Student evaluation", "Retention techniques", "Teacher education" ], "hardSkillsList" : [ "HVAC knowledge" ], "hardSkills" : [ { "name" : "HVAC knowledge", "level" : "intermediate" } ], "majorSkills" : "HVAC instruction, Curriculum development, Student assessment", "majorSkillsList" : [ "HVAC instruction", "Curriculum development", "Student assessment" ], "coreResponsibilities" : "Provide subject matter instruction, Teach assigned classes, Perform administrative functions, Create a welcoming environment, Assist in developing curriculum, Prepare course materials, Maintain tools and equipment, Maintain a neat and orderly classroom, Establish academic records, Establish attendance records, Submit attendance reports, Submit grades, Submit student evaluations, Submit other reports, Notify Supervisor of issues, Utilize proven retention techniques, Complete teacher education modules, Attend in-service training, Conduct in-service training, Attend faculty meetings, Conduct faculty meetings, Assist with department equipment inventory, Assist with department supplies inventory, Submit replenishment requests, Alert Supervisor to student absences, Complete assigned tasks", "teamCollaboration" : "Work effectively as team contributor; Work independently; Communicating with other employees; Collaborating with other employees; Communicating with groups; Collaborating with groups; Communicating with organizations; Collaborating with organizations", "domainKnowledge" : "Trade industry; Career education; Workforce development; HVAC systems", "domainList" : [ "trade-industry", "career-education", "workforce-development", "hvac-systems" ], "domainSpecificKnowledge" : [ "Trade industry", "Career education", "Workforce development", "HVAC systems" ], "toolProficiency" : [ "MS Office", "Word", "Excel", "Outlook", "SharePoint", "Teams" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Academic records; Attendance records; Student evaluations; Reports", "continuousLearning" : "Continue study of subject matter", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "High School diploma or GED, OSHA 10-hour safety certification, EPA refrigerant certification, Minimum 3 years related practical work experience, Ability to work in fast-paced educational environment, Detail-oriented, analytical, highly organized, Ability to multi-task and work well under pressure, High level of integrity, work ethic, professionalism, Persuasive and effective verbal and written communication skills, Highly motivated and goal-oriented, Problem-solving skills, Able to work independently and as collaborative team member, Exceptional interpersonal skills, Excellent computer skills, Proficiency in MS Office applications", "qualificationsPreferred" : "Previous classroom/laboratory experience, North American Technician Excellence certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Training Tomorrow's Technicians to Become Skilled, Employable and Essential.  About Us – Big Changes, Better Benefits – Join us! At Tidewater Tech, we are committed to helping adult students develop the skills necessary for meaningful entry-level careers. Founded in 1969, our institution is steeped in a tradition of career education and workforce development. As a leading educational provider in the trade industry, our programs, designed in collaboration with industry leaders, ensure that students are well-prepared for today’s workplace. With high academic standards and hands-on training, we create a learning environment that supports student success. At Tidewater Tech, we’re dedicated to shaping the next generation of skilled professionals. Address: 2331 E Little Creek Rd, Norfolk, VA 23518 Compensation: up to $30/hour Full-Time Schedule Options Monday-Thursday 8:00 am - 2:00 pm and 4:30pm - 10:30pm OR Monday - Thursday 8:00 am - 4:30 pm with optional Friday hours OR Monday - Thursday 2:00 pm - 10:30 pm with option Friday hours Potential Part-Time Schedule Monday-Thursday: 7:30 am - 2:00 pm Monday-Thursday: 4:30 pm - 10:30 pm Position Purpose    This position is responsible for providing subject matter instruction to students in a classroom or lab setting. This position is required to teach assigned classes as scheduled or as assigned, and perform administrative functions related to teaching. Key Competencies Perform quality work within deadlines with or without direct supervision, Interact professionally with other employees, students, customers, and vendors. Adhere to all company policies and procedures. Work effectively as a team contributor on all assignments. Work independently while understanding the necessity of communicating and collaborating with other employees, groups, and organizations to achieve success. Job Responsibilities Teach classes on a regularly scheduled basis as assigned and create a welcoming environment for students that is conducive to learning. Assist Program Coordinator, Campus Director of Education, or Campus Executive Director in developing curriculum, preparing course materials, class scheduling, and maintaining tools and equipment used by students. Maintain a neat and orderly classroom or lab. Establish and maintain academic and attendance records for student files. Submit attendance, grades, student evaluations, and all other reports/documentation to Supervisor or appropriate personnel as required by established procedures. Notify Supervisor of any current or potential issues which warrant immediate attention. Utilize proven retention techniques approved by the school to assist students. Complete performance-based teacher education modules as assigned by Supervisor, based on outcomes of classroom observations, instructor evaluations, and student completed surveys. Attend and/or conduct in-service training, faculty meetings or other mandatory meetings. Assist with the department equipment and supplies inventory and submit replenishment requests to Supervisor or appropriate personnel. Alert Supervisor to student absences, especially on first, third and fifth absence occurrences. Perform and complete other tasks that may be assigned by the Supervisor. Required Qualifications: High School diploma or GED. OSHA 10-hour safety certification within 6 months of hire date. Environmental Protection Agency (EPA) refrigerant certification within 6 months of hire date. Must demonstrate up-to-date knowledge and continue study of the subject matter. Must have a minimum of 3 years related practical work experience in the subject matter. Ability to work in a fast-paced, performance-driven, compliance-oriented educational environment. Detail-oriented, analytical, highly organized, and have the ability to multi-task and work well under pressure. Demonstrate a high level of integrity, strong work ethic, and professionalism. Persuasive and effective verbal and written communication skills, with a strong focus on customer service in an educational setting. Highly motivated and goal-oriented, with strong problem-solving skills. Must be able to work independently and as collaborative team member and have exceptional interpersonal skills. Excellent computer skills are required with proficiency in MS Office applications including, but not limited to, Word, Excel, Outlook, SharePoint, and Teams Exhibits a positive, team-oriented attitude by remaining flexible and available to work outside of scheduled hours when needed, as directed by the Supervisor. Preferred Qualifications: Previous classroom/laboratory experience preferred. North American Technician Excellence certification What We Offer  The salary for this position up to $30/hour, based on experience, qualifications, and other relevant factors. In addition to a competitive base salary, we offer a comprehensive benefits package, including: 401(k) and Matching: Secure your future with our competitive retirement savings plan. Comprehensive Health Coverage: Enjoy Health, Dental, and Vision insurance to keep you and your family healthy available first day of employment Life Insurance: Peace of mind with life insurance options. Parental Leave: Support for new parents during important life transitions. Paid Time Off: Recharge with paid time off to promote work-life balance. Employee Assistance Program: Access to resources for personal and professional support. Tuition Reimbursement: Invest in your future with financial support for further education. We are committed to providing a rewarding compensation package that supports both your professional growth and personal well-being. TTT is a proud equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law. We believe that a diverse workforce contributes to the success of our company and are dedicated to fostering a culture of respect, equity, and inclusion.", "summaryDescription" : "HVAC Instructor at Tidewater Tech. Skills: HVAC instruction, Curriculum development, Student assessment. Provide subject matter instruction. Teach assigned classes", "postedDate" : "2026-06-14T04:16:09.994", "createdAt" : "2026-06-14T04:16:09.994", "lastUpdated" : "2026-06-15T08:25:24.335", "ingestTimestamp" : "2026-06-14T04:16:09.994", "mongoId" : "6a2c6bbe74d8ee00a09144c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 62400, "hasSalary" : false, "allSkills" : [ "HVAC knowledge", "HVAC instruction", "Curriculum development", "Student assessment", "Subject matter instruction", "Course material preparation", "Class scheduling", "Academic record maintenance", "Attendance record maintenance", "Student evaluation", "Retention techniques", "Teacher education", "Trade industry", "Career education", "Workforce development", "HVAC systems", "OSHA 10-hour safety certification", "Environmental Protection Agency (EPA) refrigerant certification", "North American Technician Excellence certification", "MS Office", "Word", "Excel", "Outlook", "SharePoint", "Teams" ], "skillCount" : 25, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 661.7, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb13c74d8ee00a09dc955", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T05:33:01.789", "fingerprint" : "47bea295a1d49abfb66fe14fc56e0b6eaea5cbdc6e3208d4d97873ca7ec28cb2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/c0e3b5de-26cf-42bc-8693-70bb6f4ca89c/application", "externalId" : "c0e3b5de-26cf-42bc-8693-70bb6f4ca89c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality", "Automation rates", "Voice models", "Workflow automation", "API design", "System architecture", "SQL" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" }, { "name" : "Answer quality", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" }, { "name" : "Voice models", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems, LLM systems", "majorSkillsList" : [ "AI Engineering", "Systems", "LLM systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience management consulting, 3+ years technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record taking complex ideas into products", "qualificationsPreferred" : "Experience with custom workflows", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-14T21:05:30.843", "lastUpdated" : "2026-06-16T05:33:01.789", "ingestTimestamp" : "2026-06-14T21:05:30.843", "mongoId" : "6a2cb13c74d8ee00a09dc955", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality", "Automation rates", "Voice models", "Workflow automation", "API design", "System architecture", "SQL", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Roadmap", "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 660.63654, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8ad174d8ee00a097121b", "title" : "VN Instructor", "company" : "Unitek Learning", "industry" : "Hospital And Health Care", "salary" : { "min" : 40.0, "max" : 52.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Concord, CA, United States", "locations" : [ "Concord", "CA", "United States" ], "certifications" : [ "Basic Life Support Certification", "ATI, Assessment Technology Institute Certification" ], "timestamp" : "2026-06-15T04:52:36.454", "fingerprint" : "b1f35968105d71f742c00747747bbb486987430bd93c591c08ea9b4986e5e340", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UnitekLearning/744000131994449-vn-instructor", "externalId" : "744000131994449", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Concord", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.9768525,-122.0335624" } ], "locationText" : "Concord, California, United States", "employmentType" : "PART_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Nursing ability", "Clinical setting" ], "hardSkillsList" : [ "Skills check-off forms" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Skills check-off forms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Nursing instruction, Clinical rotations", "majorSkillsList" : [ "Nursing instruction", "Clinical rotations" ], "coreResponsibilities" : "Improve quality of instruction, Utilize innovative methodologies, Acquire skills for utilizing online activities, Review syllabus, Revise syllabus, Submit required program reports, Submit required forms, Keep current with new technologies, Keep current with safety regulations, Maintain student records, Collect program data, Update student files, Teach courses at variety of times, Teach courses at variety of locations, Teach lecture content, Teach clinical rotations, Participate in professional development, Maintain CE hours, Ensure renewed licensure, Stay current with college updates, Participate in committees", "domainKnowledge" : "Nursing; Vocational Nursing", "domainList" : [ "nursing", "vocational-nursing" ], "domainSpecificKnowledge" : [ "Nursing", "Vocational Nursing" ], "documentationSkills" : "Clinical documentation", "continuousLearning" : "Maintain CE hours; Stay current with college updates", "innovationCreativity" : "Utilize innovative methodologies", "specialRequirements" : "Visiting clinical sites", "qualificationsBasic" : "Registered Nurse or Licensed Vocational Nurse with current CA licensure, Graduate of an approved School of Associates Degree in Nursing or Bachelor Science in Nursing or credentials as required by state regulations, Able to meet the faculty requirements set by the Board of Vocational Nursing, 3 yrs of Nursing experience with BSN or 6 yrs of Nursing experience with Associates, Current immunizations and Basic Life Support Certification", "qualificationsPreferred" : "Must obtain ATI, Assessment Technology Institute Certification within 60 days of hire", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a leading healthcare education organization, Unitek Learning’s family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. Outstanding opportunity to PAY IT FORWARD! Be a part of training the next generation of nurses. GIVE BACK to your community and truly make a difference as a Nursing Instructor with Unitek! We are looking for a Part Time Vocational Nursing Instructor to join our team. * Please note this position would be visiting clinical sites: * Make continuous efforts to improve quality of instruction by reviewing and utilizing different and innovative methodologies / techniques in teaching * Demonstrate or willing to acquire skills for utilizing online activities as enhancers to course content/material during interactive teaching and learning * Assist with reviewing and revising of syllabus for specific course within the program and instructional guidelines * Submit required program reports and forms to Director of the program in a timely manner * Keep current with new technologies and safety regulations * Maintains student records of attendance, grades, and skills check-off forms and assist with program data collection that meet set due dates and deadlines * Assists with updating and maintaining student files as relates to clinical requirements, immunizations and educational requirements * Teach courses at a variety of times and locations in responds to program needs * Teaches both lecture content and clinical rotations (clinical rotations can be days, and/or evenings, on week days and/or weekends) * Participate in professional development; maintain CE hours to ensure renewed licensure, takes responsibility for staying current with college updates * Actively participates in committees as assigned, based on availability, taking into consideration teaching responsibilities as priority Pay range: $40-$52/hr ## Qualifications * Registered Nurse or Licensed Vocational Nurse with current CA licensure * Graduate of an approved School of Nursing; Associates Degree in Nursing or Bachelor Science in Nursing or credentials as required by state regulations * Able to meet the faculty requirements set by the Board of Vocational Nursing * 3 yrs of Nursing experience with BSN or 6 yrs of Nursing experience with Associates * Experience which demonstrates: Current knowledge of nursing practice; ability to mentor students in classroom, lab and clinical settings; ability to work independently without close supervision; broad knowledge of nursing sciences; successful handling of day to day operations in the nursing lab; proficient, strong communications skills verbal and written; current knowledge/experience in clinical setting * Current immunizations and Basic Life Support Certification * Must obtain ATI, Assessment Technology Institute Certification within 60 days of hire (offered by Unitek) ## Additional Information For Full Time Employees, We Offer: * Medical, Dental and Vision starting the 1st of the month following 30 days of employment * 2 Weeks’ starting Vacation per year. Increasing based on years of service with company * 12 paid Holidays and 2 Floating Holiday * 401K with a Company Match * Company Paid Life Insurance at 1x’s your annual salary * Leadership development and training for career advancement * Tuition assistance and Forgiveness for you and your family up to 100% depending on program All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "VN Instructor at Unitek Learning. Skills: Nursing instruction, Clinical rotations. Improve quality of instruction. Utilize innovative methodologies", "postedDate" : "2026-06-12T22:29:29.000", "createdAt" : "2026-06-13T12:58:03.660", "lastUpdated" : "2026-06-15T04:52:36.454", "ingestTimestamp" : "2026-06-13T12:58:03.660", "mongoId" : "6a2c8ad174d8ee00a097121b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 52, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Skills check-off forms", "Mentoring", "Nursing instruction", "Clinical rotations", "Nursing ability", "Clinical setting", "Nursing", "Vocational Nursing", "Basic Life Support Certification", "ATI, Assessment Technology Institute Certification" ], "skillCount" : 10, "jobCategory" : "other", "jobSubcategory" : "24 - Academic Instructional", "dataQualityScore" : 1.0, "_score" : 659.80725, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2ca53674d8ee00a09b53be", "title" : "Systems Engineer, Modelling & Physics-AI", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Engineer in Singapore, adjusted for the Government industry and a mid-sized company." }, "location" : "GDP Government Digital Products", "locations" : [ "GDP Government Digital Products" ], "timestamp" : "2026-06-15T09:39:43.171", "fingerprint" : "37f988ee7fffcd67900d8ca29fefa06811772606535fb97c53beff5b8b93b472", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4004147201?gh_jid=4004147201", "externalId" : "4004147201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, AI, ML, Deep Learning, Neural Operators, Geospatial data, NVIDIA Omniverse", "professionalSkills" : [ "Predictive intelligence", "Real-time prediction", "Computational efficiency", "Physically grounded models", "Model validation", "Data reliability", "Trustworthiness" ], "hardSkillsList" : [ "Modelling", "Machine learning", "Deep learning", "Physics-based modelling", "Surrogate modelling", "Spatial data analysis", "AI inference" ], "hardSkills" : [ { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Physics-based modelling", "level" : "intermediate" }, { "name" : "Surrogate modelling", "level" : "intermediate" }, { "name" : "Spatial data analysis", "level" : "intermediate" }, { "name" : "AI inference", "level" : "intermediate" } ], "majorSkills" : "Physics-AI, Modelling, Machine Learning, Deep Learning", "majorSkillsList" : [ "Physics-AI", "Modelling", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Provide predictive intelligence layer, Implement surrogate models, Predict system behaviour, Build predictive engines, Design Physics-AI models, Simulate physical phenomena, Develop surrogate models, Replace computationally expensive solvers, Enable real-time planning, Build training pipelines, Handle large-scale data, Apply Neural Operators, Predict environmental effects, Integrate AI inference engines, Visualize predicted outcomes, Validate AI model predictions, Ensure reliability, Ensure trustworthiness", "domainKnowledge" : "Built environment operations; Maritime operations; Aviation operations; Fuel consumption; Structural stress; Wake patterns; Millisecond latency; Spatial data; Wind fields; Tidal currents; Safety-critical operations", "domainList" : [ "built-environment-operations", "maritime-operations", "aviation-operations", "fuel-consumption", "structural-stress", "wake-patterns", "millisecond-latency", "spatial-data", "wind-fields", "tidal-currents", "safety-critical-operations" ], "domainSpecificKnowledge" : [ "Built environment operations", "Maritime operations", "Aviation operations", "Fuel consumption", "Structural stress", "Wake patterns", "Millisecond latency", "Spatial data", "Wind fields", "Tidal currents", "Safety-critical operations" ], "toolProficiency" : [ "NVIDIA PhysicsNeMo", "NVIDIA Omniverse" ], "continuousLearning" : "Learning and development opportunities", "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Degree in Computer Science, Applied Mathematics degree, Physics degree, Related AI/ML discipline degree, 3 years relevant experience, Modelling experience, Machine learning experience, Deep learning experience, Physical systems focus, Python skills, GPU-accelerated HPC experience, Scientific datasets experience, Physics-based datasets experience, Combine geospatial outputs, Neural solvers understanding, Spatially-aware AI models, Geographic constraints understanding", "qualificationsPreferred" : "NVIDIA PhysicsNeMo experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] We are seeking a Systems Engineer (Modelling & Physics-AI) to provide the predictive intelligence layer of our Next-Generation Digital Twin platform. Your mission is to move beyond static dashboards by implementing surrogate models that predict system behaviour in real time. You will work at the cutting edge of Physics-AI, building predictive engines for built environment, maritime, and aviation operations that are both computationally efficient and physically grounded. Design and deploy Physics-AI models using NVIDIA PhysicsNeMo to simulate complex physical phenomena such as fuel consumption, structural stress, and wake patterns. Develop surrogate models that replace computationally expensive solvers, enabling real-time \"what-if\" operational planning at millisecond latency. Build and maintain training pipelines for Neural Operators to handle large-scale maritime and aviation spatial data. Apply Neural Operators to geospatial datasets to predict environmental effects such as wind fields and tidal currents across large operational areas. Integrate AI inference engines into the NVIDIA Omniverse ecosystem for real-time visualisation of predicted outcomes. Validate AI model predictions against real-world sensor data to ensure reliability and trustworthiness in safety-critical operational contexts. [What we are looking for] Degree in Computer Science, Applied Mathematics, Physics, or a related AI/ML discipline. At least 3 years of relevant experience in modelling or machine learning, with a focus on deep learning for physical systems. Strong Python skills and experience with GPU-accelerated high-performance computing. Experience working with scientific or physics-based datasets. Understanding of how to combine geospatial outputs with neural solvers to build spatially-aware AI models that respect geographic constraints. Good to have Hands-on experience with NVIDIA PhysicsNeMo. Familiarity with time-series forecasting for IoT sensor data streams. Experience with Physics-Informed Neural Networks (PINNs) or Neural Operators such as FNO or DeepONet. Background in reinforcement learning for autonomous systems such as vessels or drones. What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech", "summaryDescription" : "Systems Engineer, Modelling & Physics-AI at GovTech. Skills: Physics-AI, Modelling, Machine Learning, Deep Learning. Provide predictive intelligence layer. Implement surrogate models", "postedDate" : "2026-06-14T06:20:19.671", "createdAt" : "2026-06-14T06:20:19.671", "lastUpdated" : "2026-06-15T09:39:43.171", "ingestTimestamp" : "2026-06-14T06:20:19.671", "mongoId" : "6a2ca53674d8ee00a09b53be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Modelling", "Machine learning", "Deep learning", "Physics-based modelling", "Surrogate modelling", "Spatial data analysis", "AI inference", "Physics-AI", "Machine Learning", "Deep Learning", "Predictive intelligence", "Real-time prediction", "Computational efficiency", "Physically grounded models", "Model validation", "Data reliability", "Trustworthiness", "Built environment operations", "Maritime operations", "Aviation operations", "Fuel consumption", "Structural stress", "Wake patterns", "Millisecond latency", "Spatial data", "Wind fields", "Tidal currents", "Safety-critical operations", "NVIDIA PhysicsNeMo", "NVIDIA Omniverse" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 658.4345, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f0774d8ee00a08e869a", "title" : "AI Builder", "company" : "Extenteam", "industry" : "Property Management", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI Builder in Miami, United States, within the SaaS industry, adjusted for company size and full-time employment." }, "location" : "Extenteam - Corporate", "locations" : [ "Extenteam - Corporate" ], "timestamp" : "2026-06-14T22:33:10.094", "fingerprint" : "37fb72b98c6f0572c1e0e191903e9989ca4d05430908634b35ed4d19e3fd6902", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/extenteamcareers/jobs/5254865008", "externalId" : "5254865008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Miami", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.7741566,-80.1935973" }, { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Miami, Florida, United States; Los Angeles, California, United States", "technicalSkills" : "Claude Code, Claude API, bash, git, AWS, SQL, PostgreSQL, REST APIs", "professionalSkills" : [ "Product management", "AI system design", "Automation strategy", "Workflow design", "Prompt design", "Evaluation frameworks", "Product prioritization", "Data analysis" ], "hardSkillsList" : [ "AI model iteration", "Agentic workflows", "Claude API pipelines", "Database connections", "REST API integration" ], "softSkillsList" : [ "Execution Focused", "AI-Native Builder", "Domain-Curious", "Systems Thinker", "Technically Fluent", "High Velocity", "Ambiguity Crusher" ], "hardSkills" : [ { "name" : "AI model iteration", "level" : "intermediate" }, { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "Claude API pipelines", "level" : "intermediate" }, { "name" : "Database connections", "level" : "intermediate" }, { "name" : "REST API integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Execution Focused" }, { "name" : "AI-Native Builder" }, { "name" : "Domain-Curious" }, { "name" : "Systems Thinker" }, { "name" : "Technically Fluent" }, { "name" : "High Velocity" }, { "name" : "Ambiguity Crusher" } ], "majorSkills" : "AI Automation, Product Development, Workflow Systems", "majorSkillsList" : [ "AI Automation", "Product Development", "Workflow Systems" ], "coreResponsibilities" : "Own AI and automation product scope, Write system specifications, Run discovery with agents, Maintain prioritized backlog, Own AI model performance, Build agentic workflows, Build Claude API pipelines, Integrate MCP servers, Lead automation-first thinking, Communicate progress to leadership, Track adoption data", "teamCollaboration" : "Client-facing teams; Extenteam agents; Head of Multifamily", "projectManagementSkills" : [ "Product prioritization", "Backlog management" ], "domainKnowledge" : "Short-term rental operations; Multifamily property management; AI-driven operations; Human-in-the-loop support; Property management platforms", "domainList" : [ "short-term-rental-operations", "multifamily-property-management", "ai-driven-operations", "human-in-the-loop-support", "property-management-platforms" ], "domainSpecificKnowledge" : [ "Short-term rental operations", "Multifamily property management", "AI-driven operations", "Human-in-the-loop support", "Property management platforms" ], "toolProficiency" : [ "Claude Code", "Claude API", "GitHub", "Railway", "AWS", "PostgreSQL", "MCP servers" ], "communicationSkills" : "Written communication; Clear communication", "documentationSkills" : "Write documentation", "innovationCreativity" : "Automation-first thinking", "problemSolvingSkills" : "Workflow bottleneck identification; Translate operational reality", "outcomesObjectives" : "Ship first automation; Improve model performance; Drive product momentum", "qualificationsBasic" : "3-6 years product management or builder experience, Hands-on AI model management experience, Deep familiarity with Claude Code, Proven ability to build agentic workflows, Written communication skills, Comfort working in unstructured environment, Experience shipping full product features, Hands-on workflow design experience, Comfort working with data", "qualificationsPreferred" : "Experience in property management, Familiarity with property management platforms, Background building human-in-the-loop AI systems, Familiarity with LLM orchestration tools, Familiarity with ClickUp, Familiarity with Slack, Familiarity with HubSpot", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT EXTENTEAM Extenteam is an AI-driven operations platform built for short-term rental property managers, automating guest communication and daily workflows with human-in-the-loop support across tens of thousands of properties. Alongside our core STR business, we operate a multifamily property management division that generates $250,000 in monthly revenue, serving some of the largest operators in the country - companies running thousands of units across multiple states. The work is real, the clients are large, and the processes that power this division today are largely manual. We know what works. Now we want to build the technology layer that systematizes and automates it. This role exists to lead that effort. THE ROLE This is the first product and engineering hire dedicated to the multifamily division. You will own the AI and automation layer for this side of the business - sitting at the intersection of product management and hands-on AI system design. You are not starting from scratch. There is $250K/month of revenue, real clients, real workflows, and real operational data to work with. Your job is to turn what works manually into a product that scales. You will be working independently at the start - there is no dedicated engineering team from day one. You are expected to build, ship, and iterate on your own. If this work proves out, the function grows around you. That means you need to be genuinely technical: comfortable writing code, deploying pipelines, and owning the full stack of what you build. You will design automation-first workflows, determine where AI can own a process end-to-end, and define where human oversight is still required. You will work closely with Extenteam agents and client-facing teams to surface workflow bottlenecks and translate operational reality into systems that actually work. This role reports directly into the Head of Multifamily and is a founding position on the product and engineering function for this vertical. WHAT YOU WILL OWN - Own the AI and automation product scope for the platform: discovery, definition, prioritization, delivery, and iteration - largely independently at the start - Write clear, unambiguous specs and documentation for the systems you build - Run structured discovery with Extenteam agents and client-facing teams to surface workflow bottlenecks and automation opportunities - Maintain a prioritized backlog, balancing quick wins with meaningful product bets - Own the performance and iteration of AI models within your scope - define evaluation criteria, monitor output quality, and drive continuous improvement - Build and maintain agentic workflows, Claude API pipelines, and MCP integrations directly - you are not just writing specs, you are shipping - Lead automation-first thinking - every workflow you touch should ask whether a human is still needed, or whether AI can own it end-to-end - Communicate progress, blockers, and decisions clearly to the Head of Multifamily and leadership - Track adoption and outcomes; use data to inform what to build next YOUR DAILY TOOLKIT You should be comfortable and fast across all of these: - Claude Code - this is your primary AI development interface; you live in it - Claude API - pipelines, prompt chains, structured outputs, evaluation frameworks - Terminal, CLI, bash - you are fluent at the command line - GitHub - commits, branches, PRs, basic git hygiene - Railway and/or AWS - you can deploy and manage what you build - SQL and database connections - PostgreSQL, piping APIs into DBs, reading/writing data - REST APIs - you can read docs and connect anything to anything - MCP servers and tool-use integrations - you have built or extended them WHO YOU ARE Required - 3-6 years of product management or builder experience, ideally at a B2B SaaS or proptech company - Hands-on experience managing or iterating on AI models in a product context - you understand prompt design, evaluation frameworks, and how to improve model performance over time - Deep familiarity with Claude Code - you use it as a force multiplier, not a crutch - Proven ability to build agentic workflows, AI pipelines, or automation systems - you have shipped something real, solo or as a lead - Strong written communication skills - you can turn fuzzy operational problems into clear system specs - Comfortable working in a fast-moving, unstructured environment with no hand-holding - Experience shipping full product features from discovery to launch, independently or with minimal support - Hands-on experience designing or improving workflows, decision trees, or automation-ready processes - Comfort working with data, dashboards, and analytics tools to guide decisions - Must be based in or willing to relocate to Miami, Florida or Los Angeles, California Preferred - Experience in property management, proptech, or multifamily real estate - Familiarity with property management platforms (Yardi, AppFolio, Buildium, Entrata, or similar) - Background building or managing human-in-the-loop AI systems where model confidence determines when a human steps in - Experience at a company going through a manual-to-AI or services-to-SaaS transition - Familiarity with LLM orchestration tools or agentic workflow design beyond Claude - Familiarity with ClickUp, Slack, or HubSpot - helpful but not required KEY ATTRIBUTES - Execution Focused: You move ideas into production quickly and consistently deliver measurable results - AI-Native Builder: You do not bolt AI onto existing workflows - you design the workflow around what AI can own, define where humans add value, and write the code to make it real - Domain-Curious: You take the time to understand this space deeply - the vocabulary, the pain points, the compliance requirements, and the people doing the work - Systems Thinker: You understand how all parts of a product connect and design solutions that work at scale - Technically Fluent: You ship code. You are not waiting for an engineering team to interpret your spec - you prototype, build pipelines, and deploy - High Velocity: You thrive in fast-paced environments, iterate quickly, and maintain momentum without sacrificing quality - Ambiguity Crusher: You bring clarity to messy, unclear situations and create order that others can follow WHAT SUCCESS LOOKS LIKE - 30 days: Deep understanding of the product, core agent and client workflows, and the operational processes currently running manually. First pipeline or automation scoped and in flight. - 60 days: First automation shipped and running. Regular discovery cadence with agents and client-facing teams. AI model evaluation framework defined and in use. Clear ownership established. - 90 days: Meaningful feature live. Visible product and AI momentum in your area. Model performance measurably improving. Data tracked and driving next priorities. NOT A FIT IF - You have only used Claude or ChatGPT through the UI - You need an engineering team to execute your ideas - You need detailed specs or close direction before you can start - You are looking for a pure PM role with no hands-on building - You are not prepared to be the first person in this function - with everything that comes with that BENEFITS - Health insurance - Paid time-off", "summaryDescription" : "AI Builder at Extenteam. Skills: AI Automation, Product Development, Workflow Systems. Own AI and automation product scope. Write system specifications", "postedDate" : "2026-06-12T22:02:51.966", "createdAt" : "2026-06-12T22:02:51.966", "lastUpdated" : "2026-06-14T22:33:10.094", "ingestTimestamp" : "2026-06-12T22:02:51.966", "mongoId" : "6a2c5f0774d8ee00a08e869a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "AI model iteration", "Agentic workflows", "Claude API pipelines", "Database connections", "REST API integration", "Execution Focused", "AI-Native Builder", "Domain-Curious", "Systems Thinker", "Technically Fluent", "High Velocity", "Ambiguity Crusher", "AI Automation", "Product Development", "Workflow Systems", "Product management", "AI system design", "Automation strategy", "Workflow design", "Prompt design", "Evaluation frameworks", "Product prioritization", "Data analysis", "Backlog management", "Short-term rental operations", "Multifamily property management", "AI-driven operations", "Human-in-the-loop support", "Property management platforms", "Claude Code", "Claude API", "GitHub", "Railway", "AWS", "PostgreSQL", "MCP servers" ], "skillCount" : 36, "jobCategory" : "other", "jobSubcategory" : "executive-office", "dataQualityScore" : 0.7777778, "_score" : 658.3094, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Property Management" }, { "id" : "6a2c9e0a74d8ee00a099d482", "title" : "VN Instructor", "company" : "Unitek Learning", "industry" : "Hospital And Health Care", "salary" : { "min" : 40.0, "max" : 52.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Concord, CA, United States", "locations" : [ "Concord", "CA", "United States" ], "certifications" : [ "Basic Life Support Certification" ], "timestamp" : "2026-06-16T04:16:17.544", "fingerprint" : "1ef74d62ab633f9864817adf00e603669b31c471bf935e2e627ab8dbcb206034", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UnitekLearning/744000131994449-vn-instructor", "externalId" : "744000131994449", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Concord", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.9768525,-122.0335624" } ], "locationText" : "Concord, California, United States", "employmentType" : "PART_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Nursing ability", "Clinical setting knowledge" ], "hardSkillsList" : [ "Skills check-off forms" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Skills check-off forms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Nursing instruction, Clinical rotations", "majorSkillsList" : [ "Nursing instruction", "Clinical rotations" ], "coreResponsibilities" : "Make continuous efforts to improve quality of instruction, Demonstrate skills for utilizing online activities, Assist with reviewing and revising syllabus, Submit required program reports and forms, Keep current with new technologies, Maintain student records of attendance, Assist with program data collection, Assist with updating and maintaining student files, Teach courses at a variety of times, Teach lecture content, Teach clinical rotations, Participate in professional development, Take responsibility for staying current, Actively participates in committees", "domainKnowledge" : "Nursing", "domainList" : [ "nursing" ], "domainSpecificKnowledge" : [ "Nursing" ], "documentationSkills" : "Clinical documentation", "continuousLearning" : "Maintain CE hours", "innovationCreativity" : "Innovative methodologies", "specialRequirements" : "Visiting clinical sites", "qualificationsBasic" : "Registered Nurse or Licensed Vocational Nurse with current CA licensure, Graduate of an approved School of Associates Degree in Nursing or Bachelor Science in Nursing or credentials as required by state regulations, Able to meet the faculty requirements set by the Board of Vocational Nursing, 3 yrs of Nursing experience with BSN or 6 yrs of Nursing experience with Associates, Current immunizations and Basic Life Support Certification", "qualificationsPreferred" : "Must obtain ATI, Assessment Technology Institute Certification within 60 days of hire", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a leading healthcare education organization, Unitek Learning’s family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. Outstanding opportunity to PAY IT FORWARD! Be a part of training the next generation of nurses. GIVE BACK to your community and truly make a difference as a Nursing Instructor with Unitek! We are looking for a Part Time Vocational Nursing Instructor to join our team. * Please note this position would be visiting clinical sites: * Make continuous efforts to improve quality of instruction by reviewing and utilizing different and innovative methodologies / techniques in teaching * Demonstrate or willing to acquire skills for utilizing online activities as enhancers to course content/material during interactive teaching and learning * Assist with reviewing and revising of syllabus for specific course within the program and instructional guidelines * Submit required program reports and forms to Director of the program in a timely manner * Keep current with new technologies and safety regulations * Maintains student records of attendance, grades, and skills check-off forms and assist with program data collection that meet set due dates and deadlines * Assists with updating and maintaining student files as relates to clinical requirements, immunizations and educational requirements * Teach courses at a variety of times and locations in responds to program needs * Teaches both lecture content and clinical rotations (clinical rotations can be days, and/or evenings, on week days and/or weekends) * Participate in professional development; maintain CE hours to ensure renewed licensure, takes responsibility for staying current with college updates * Actively participates in committees as assigned, based on availability, taking into consideration teaching responsibilities as priority Pay range: $40-$52/hr ## Qualifications * Registered Nurse or Licensed Vocational Nurse with current CA licensure * Graduate of an approved School of Nursing; Associates Degree in Nursing or Bachelor Science in Nursing or credentials as required by state regulations * Able to meet the faculty requirements set by the Board of Vocational Nursing * 3 yrs of Nursing experience with BSN or 6 yrs of Nursing experience with Associates * Experience which demonstrates: Current knowledge of nursing practice; ability to mentor students in classroom, lab and clinical settings; ability to work independently without close supervision; broad knowledge of nursing sciences; successful handling of day to day operations in the nursing lab; proficient, strong communications skills verbal and written; current knowledge/experience in clinical setting * Current immunizations and Basic Life Support Certification * Must obtain ATI, Assessment Technology Institute Certification within 60 days of hire (offered by Unitek) ## Additional Information For Full Time Employees, We Offer: * Medical, Dental and Vision starting the 1st of the month following 30 days of employment * 2 Weeks’ starting Vacation per year. Increasing based on years of service with company * 12 paid Holidays and 2 Floating Holiday * 401K with a Company Match * Company Paid Life Insurance at 1x’s your annual salary * Leadership development and training for career advancement * Tuition assistance and Forgiveness for you and your family up to 100% depending on program All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "VN Instructor at Unitek Learning. Skills: Nursing instruction, Clinical rotations. Make continuous efforts to improve quality of instruction. 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We", "summaryDescription" : "Senior AI Engineer- Application Development at Accrete", "createdAt" : "2026-06-14T19:28:36.611", "lastUpdated" : "2026-06-16T02:55:41.913", "ingestTimestamp" : "2026-06-14T19:28:36.611", "mongoId" : "6a2cc4cd74d8ee00a0a0e4f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 652.842, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c717f74d8ee00a092e43f", "title" : "GTM AI Engineer", "company" : "Freshworks", "industry" : "Information Technology And Services", "salary" : { "min" : 192000.0, "max" : 238000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Mateo, CA, United States", "locations" : [ "San Mateo", "CA", "United States" ], "timestamp" : "2026-06-16T03:06:12.886", "fingerprint" : "e19eeacd4e22f203efa9badcd498e80ed5269ed3f9c0c81910ecb25aea323060", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Freshworks/744000131761149-gtm-ai-engineer", "externalId" : "744000131761149", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, LLM, LangGraph, MCP, Claude, OpenAI, Relevance, Salesforce, Clay, Marketo, Claude Code, Web analytics, Python, Java", "professionalSkills" : [ "System design", "Data pipelines", "API integration", "Workflow automation", "Revenue operations" ], "hardSkillsList" : [ "Function calling", "Structured outputs", "Custom orchestration", "Data enrichment", "Contextual data", "Cost controls" ], "hardSkills" : [ { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Structured outputs", "level" : "intermediate" }, { "name" : "Custom orchestration", "level" : "intermediate" }, { "name" : "Data enrichment", "level" : "intermediate" }, { "name" : "Contextual data", "level" : "intermediate" }, { "name" : "Cost controls", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, LLM Applications, GTM Workflows, Data Pipelines", "majorSkillsList" : [ "AI Engineering", "LLM Applications", "GTM Workflows", "Data Pipelines" ], "coreResponsibilities" : "Build AI-Powered GTM Workflows, Design intelligent workflows, Deploy intelligent workflows, Build systems to detect buyer activity, Build systems to enrich buyer activity, Build systems to prioritize buyer activity, Build systems to act on buyer activity, Engineer contextual data pipelines, Create GTM Agent Tool Layer, Integrate tools and APIs, Build Intelligent Alerts, Create systems to notify teams, Move Prototypes to Production, Harden AI/automation concepts, Partner Across the Revenue Engine, Collaborate with Web team, Collaborate with Marketing Ops, Collaborate with Sales Ops, Collaborate with Demand Gen, Collaborate with RevOps, Collaborate with SDRDR teams, Collaborate with Core Engineering, Translate business needs into systems", "teamCollaboration" : "Web & Revenue Marketing team; 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Provide context; Enable fast action", "outcomesObjectives" : "Accelerate buyer understanding; Act on revenue signals; Help frontline teams operate effectively", "qualificationsBasic" : "Software Engineer experience, Automation Engineer experience, GTM/RevOps Engineer experience, AI/ML Engineer experience, Experience with complex systems, Experience with varied datasets, Hands-on AI/LLM application building, Experience with APIs, Experience with webhooks, Experience with OAuth, Experience with queues, Experience with retries, Experience with system integrations, Experience with AI system evals, Experience with AI system monitoring, Experience with AI system observability, Experience with AI system quality controls, Experience with AI system cost controls, Understanding of GTM motions, Experience building lead management automations, Experience building prospecting automations, Experience building routing automations, Experience building qualification automations, Experience building prioritization automations, Experience integrating CRM Systems, Experience integrating Marketo, Experience integrating sales engagement platforms, Experience integrating GitHub, Experience integrating internal data warehouses, Program ownership, Translate business needs into technical solutions", "qualificationsPreferred" : "Background with Sales teams, Background with Sales Development teams, Background with Marketing Ops teams, Background with Revenue Operations teams, Background with Growth Engineering teams, Experience structuring messy data, Experience with web personalization, Experience with experimentation, Experience with conversion optimization, Experience with buyer journey systems, Experience building internal-facing tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations. Fresh vision. Real impact. Come build it with us. At Freshworks, we're introducing AI across our go-to-market organization to accelerate how we understand buyers and act on revenue signals. As a key member of the Web & Revenue Marketing team, you will build the internal agents, workflows, and intelligence systems that help our frontline teams operate more effectively. Currently, our buyer signals are scattered across systems like Salesforce, Marketo, Outreach, product usage data, and intent platforms. Your role will be to bridge these gaps—connecting the signals, providing context, and enabling teams to take fast action. You'll have full executive sponsorship, high-impact problems to solve, and a blank canvas to shape how AI is applied across the Freshworks go-to-market organization. What You Will Do * Build AI-Powered GTM Workflows: Design and deploy intelligent workflows across lead management, account research, routing, scoring, prioritization, personalization, seller briefings, and follow-up support. * Turn Buyer Signals into Action: Build systems that detect, enrich, prioritize, and act on high-value buyer activity across the funnel by engineering contextual data pipelines (web activity, intent, product usage, CRM history). * Create the GTM Agent Tool Layer: Integrate tools and APIs across our stack, including Salesforce, Clay, Marketo, Relevance, Claude Code, sales engagement platforms, web analytics, enrichment providers, and internal data sources. * Build Intelligent Alerts: Create systems that notify teams of critical buyer activity, such as target account engagement, key persona activity, competitor mentions, buying committee movement, or stalled follow-up. * Move Prototypes to Production: Take working AI/automation concepts and harden them with robust authentication, logging, tracing, retries, error handling, documentation, and cost controls. * Partner Across the Revenue Engine: Collaborate with Web, Marketing Ops, Sales Ops, Demand Gen, RevOps, SDR/BDR teams, and Core Engineering to translate business needs into scalable systems. ## Qualifications What We Are Looking For Technical & AI Engineering Experience: * Background: Experience as a Software Engineer, Automation Engineer, GTM/ RevOps Engineer, or AI/ML Engineer working with complex systems and varied datasets. * AI/LLM Application: Hands-on experience building AI or LLM-powered applications, automations, or workflows using patterns like function calling, structured outputs, LangGraph, MCP, or custom orchestration (e.g., Claude, OpenAI, Relevance). * Integration Skills: Strong technical skills with APIs, webhooks, OAuth, queues, retries, and system integrations. * Production Standards: Experience with evals, monitoring, observability, and quality/cost controls for AI systems. GTM & Domain Knowledge: * Revenue Operations: Strong understanding of inbound/outbound GTM motions and experience building automations for lead management, prospecting, routing, qualification, or prioritization. * Tech Stack: Experience integrating CRM Systems (Salesforce), marketing automation (Marketo), sales engagement platforms, GitHub, and internal data warehouses. * Execution: Strong program ownership in ambiguous environments; ability to translate non-technical revenue team needs into technical solutions. Nice to Have * Background working directly with Sales, Sales Development, Marketing Ops, Revenue Operations, or Growth Engineering teams. * Experience structuring messy, unstructured data from transcripts, emails, notes, forms, and intent signals into clean inputs. * Experience with web personalization, experimentation, conversion optimization, or buyer journey systems. * Experience building internal-facing tools that directly improve front-line team productivity. We encourage you to apply even if you do not meet every qualification. Strong candidates may come from engineering, revenue systems, automation, AI, growth, or technical GTM backgrounds. If you can build reliable systems that help revenue teams act faster and smarter, we would like to hear from you. ## Additional Information Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. The annual base salary range for this position is $192,000 - $238,000. This role is also eligible for a target bonus. Compensation is based on a variety of factors, including but not limited to location, experience, job-related skills, and level. Freshworks offers multiple options for dental, medical, vision, disability, and life insurance. Equity + ESPP, flexible PTO, flexible spending, commuter benefits, and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits. At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.", "summaryDescription" : "GTM AI Engineer at Freshworks. Skills: AI Engineering, LLM Applications, GTM Workflows, Data Pipelines. Build AI-Powered GTM Workflows. Design intelligent workflows", "postedDate" : "2026-06-11T21:24:04.000", "createdAt" : "2026-06-14T19:58:21.626", "lastUpdated" : "2026-06-16T03:06:12.886", "ingestTimestamp" : "2026-06-14T19:58:21.626", "mongoId" : "6a2c717f74d8ee00a092e43f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 192000, "salaryAnnualMax" : 238000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Function calling", "Structured outputs", "Custom orchestration", "Data enrichment", "Contextual data", "Cost controls", "AI Engineering", "LLM Applications", "GTM Workflows", "Data Pipelines", "System design", "Data pipelines", "API integration", "Workflow automation", "Revenue operations", "Program ownership", "Go-to-market", "Revenue signals", "Buyer signals", "Lead management", "Account research", "Routing", "Scoring", "Prioritization", "Personalization", "Seller briefings", "Follow-up support", "Web activity", "Intent platforms", "Product usage data", "CRM history", "Sales engagement platforms", "Web analytics", "Enrichment providers", "Target account engagement", "Buying committee movement", "Inbound GTM", "Outbound GTM", "Inbound/outbound GTM motions", "Internal data warehouses", "Buyer journey systems", "Salesforce", "Clay", "Marketo", "Claude Code", "GitHub", "Outreach" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 649.9804, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d797474d8ee00a0c02775", "title" : "GTM AI Engineer", "company" : "Freshworks", "industry" : "Information Technology And Services", "salary" : { "min" : 192000.0, "max" : 238000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Mateo, CA, United States", "locations" : [ "San Mateo", "CA", "United States" ], "timestamp" : "2026-06-16T04:01:36.890", "fingerprint" : "4fe047eb67a5a6abbba4ed0e61c59586131d791b233cb386cfc355b6052ae9df", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Freshworks/744000131761149-gtm-ai-engineer", "externalId" : "744000131761149", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, LLM, LangGraph, MCP, Claude, OpenAI, Relevance, Salesforce, Clay, Marketo, Claude Code, Web analytics, Data warehouses", "professionalSkills" : [ "System design", "Data pipelines", "API integration", "Workflow automation" ], "hardSkillsList" : [ "Function calling", "Structured outputs", "Custom orchestration", "Contextual data engineering" ], "hardSkills" : [ { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Structured outputs", "level" : "intermediate" }, { "name" : "Custom orchestration", "level" : "intermediate" }, { "name" : "Contextual data engineering", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, LLM Applications, GTM Workflows, Data Integration", "majorSkillsList" : [ "AI Engineering", "LLM Applications", "GTM Workflows", "Data Integration" ], "coreResponsibilities" : "Build AI-Powered GTM Workflows, Design intelligent workflows, Deploy intelligent workflows, Turn buyer signals into action, Build systems to detect buyer activity, Build systems to enrich buyer activity, Build systems to prioritize buyer activity, Build systems to act on buyer activity, Engineer contextual data pipelines, Create GTM Agent Tool Layer, Integrate tools and APIs, Build Intelligent Alerts, Create systems to notify teams, Move prototypes to production, Harden AI concepts, Partner Across Revenue Engine, Collaborate with Web teams, Collaborate with Marketing Ops teams, Collaborate with Sales Ops teams, Collaborate with Demand Gen teams, Collaborate with RevOps teams, Collaborate with SDRDR teams, Collaborate with Core Engineering teams, Translate business needs into systems", "teamCollaboration" : "Web & Revenue Marketing team; 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To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations. Fresh vision. Real impact. Come build it with us. At Freshworks, we're introducing AI across our go-to-market organization to accelerate how we understand buyers and act on revenue signals. As a key member of the Web & Revenue Marketing team, you will build the internal agents, workflows, and intelligence systems that help our frontline teams operate more effectively. Currently, our buyer signals are scattered across systems like Salesforce, Marketo, Outreach, product usage data, and intent platforms. Your role will be to bridge these gaps—connecting the signals, providing context, and enabling teams to take fast action. You'll have full executive sponsorship, high-impact problems to solve, and a blank canvas to shape how AI is applied across the Freshworks go-to-market organization. What You Will Do * Build AI-Powered GTM Workflows: Design and deploy intelligent workflows across lead management, account research, routing, scoring, prioritization, personalization, seller briefings, and follow-up support. * Turn Buyer Signals into Action: Build systems that detect, enrich, prioritize, and act on high-value buyer activity across the funnel by engineering contextual data pipelines (web activity, intent, product usage, CRM history). * Create the GTM Agent Tool Layer: Integrate tools and APIs across our stack, including Salesforce, Clay, Marketo, Relevance, Claude Code, sales engagement platforms, web analytics, enrichment providers, and internal data sources. * Build Intelligent Alerts: Create systems that notify teams of critical buyer activity, such as target account engagement, key persona activity, competitor mentions, buying committee movement, or stalled follow-up. * Move Prototypes to Production: Take working AI/automation concepts and harden them with robust authentication, logging, tracing, retries, error handling, documentation, and cost controls. * Partner Across the Revenue Engine: Collaborate with Web, Marketing Ops, Sales Ops, Demand Gen, RevOps, SDR/BDR teams, and Core Engineering to translate business needs into scalable systems. ## Qualifications What We Are Looking For Technical & AI Engineering Experience: * Background: Experience as a Software Engineer, Automation Engineer, GTM/ RevOps Engineer, or AI/ML Engineer working with complex systems and varied datasets. * AI/LLM Application: Hands-on experience building AI or LLM-powered applications, automations, or workflows using patterns like function calling, structured outputs, LangGraph, MCP, or custom orchestration (e.g., Claude, OpenAI, Relevance). * Integration Skills: Strong technical skills with APIs, webhooks, OAuth, queues, retries, and system integrations. * Production Standards: Experience with evals, monitoring, observability, and quality/cost controls for AI systems. GTM & Domain Knowledge: * Revenue Operations: Strong understanding of inbound/outbound GTM motions and experience building automations for lead management, prospecting, routing, qualification, or prioritization. * Tech Stack: Experience integrating CRM Systems (Salesforce), marketing automation (Marketo), sales engagement platforms, GitHub, and internal data warehouses. * Execution: Strong program ownership in ambiguous environments; ability to translate non-technical revenue team needs into technical solutions. Nice to Have * Background working directly with Sales, Sales Development, Marketing Ops, Revenue Operations, or Growth Engineering teams. * Experience structuring messy, unstructured data from transcripts, emails, notes, forms, and intent signals into clean inputs. * Experience with web personalization, experimentation, conversion optimization, or buyer journey systems. * Experience building internal-facing tools that directly improve front-line team productivity. We encourage you to apply even if you do not meet every qualification. Strong candidates may come from engineering, revenue systems, automation, AI, growth, or technical GTM backgrounds. If you can build reliable systems that help revenue teams act faster and smarter, we would like to hear from you. ## Additional Information Please note this is a hybrid role with onsite expectations of 3x/week (Tues - Thurs) from our San Mateo, CA headquarters. The annual base salary range for this position is $192,000 - $238,000. This role is also eligible for a target bonus. Compensation is based on a variety of factors, including but not limited to location, experience, job-related skills, and level. Freshworks offers multiple options for dental, medical, vision, disability, and life insurance. Equity + ESPP, flexible PTO, flexible spending, commuter benefits, and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits. At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.", "summaryDescription" : "GTM AI Engineer at Freshworks. Skills: AI Engineering, LLM Applications, GTM Workflows, Data Integration. Build AI-Powered GTM Workflows. 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As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we’ve created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that’s transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let’s transform healthcare together. Position Summary: The Senior Application Systems Administrator plays a crucial role in enhancing pharmacy operations and business functions at Empower. By managing enterprise applications, this role ensures reliability, security, and alignment to business needs, driving significant business impact. The administrator owns the optimization of systems like Pharmacy Management and ERP platforms, using AI as a force multiplier to enhance speed, scale, and decision-making. Working within Empower's hyper-growth, highly regulated environment, the administrator meets P80-P90 talent expectations, demonstrating strategic thinking, execution rigor, and learning agility to propel the company forward. Responsibilities: Technology Strategy System Optimization: Drive the optimization of pharmacy management systems, ERP platforms, and sales/customer-facing applications. Utilize AI-enabled capabilities to enhance performance, streamline processes, and ensure systems are secure and aligned with business objectives, thereby boosting enterprise efficiency. Innovation Leadership: Lead the integration of cutting-edge technologies to advance system capabilities. Champion the adoption of AI and automation tools to enhance decision-making speed, scale operations, and maintain a competitive edge in a rapidly evolving industry landscape. Compliance Assurance: Ensure that all systems adhere to regulatory requirements and industry standards. Collaborate with compliance teams to implement necessary updates and modifications, safeguarding data integrity and maintaining industry-leading security protocols. Operational Excellence System Reliability: Oversee the maintenance and stability of enterprise applications. Implement continuous monitoring tools to proactively identify and resolve system issues, minimizing downtime and ensuring seamless operations across pharmacy and business functions. Performance Metrics: Establish and monitor key performance indicators (KPIs) for system performance and user satisfaction. Employ AI-driven analytics to gain insights and drive strategic enhancements, optimizing application performance and user experience. Process Improvement: Identify areas for process improvement and implement solutions to enhance operational efficiency. Leverage AI to automate routine tasks, freeing up resources for strategic initiatives and supporting business growth objectives. Cross-Functional Collaboration Team Leadership: Lead and mentor a team of application administrators. Foster a culture of innovation and learning, encouraging team members to leverage AI tools for problem-solving and system enhancements, supporting professional growth and organizational success. Stakeholder Engagement: Collaborate with IT, compliance, operations, and commercial teams to align application functionalities with business objectives. Facilitate communication and knowledge sharing, ensuring stakeholders are informed of system updates and improvements. User Experience Focus: Work closely with end-users to understand their needs and challenges. Utilize AI and integration tools to enhance user workflows, improving satisfaction and contributing to a high-performance work environment. Knowledge and Skills: Proficient in enterprise application administration and optimization. Strong understanding of AI and automation tools for system enhancement. Excellent leadership and team management capabilities. Skilled in regulatory compliance and data integrity best practices. Experience and Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field. Minimum of 5 years’ experience in application systems administration. Proven track record of successfully managing enterprise applications in a regulated environment. Experience in the healthcare or life sciences industry is a plus but not mandatory. Demonstrated expertise in leveraging AI for operational improvements. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Senior Application Systems Administrator at Empower Pharmacy", "postedDate" : "2026-06-12T22:13:50.053", "createdAt" : "2026-06-12T22:13:50.053", "lastUpdated" : "2026-06-15T00:29:55.215", "ingestTimestamp" : "2026-06-12T22:13:50.053", "mongoId" : "6a2c5f3874d8ee00a08ea011", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Pharmacy management systems", "ERP platforms", "Healthcare industry", "Pharmaceutical manufacturing", "Personalized medicine", "Regulatory requirements", "Industry standards", "Data integrity", "Security protocols" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "it", "dataQualityScore" : 0.8888889, "_score" : 648.61285, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a2a54ec74d8ee00a06052fc", "title" : "Senior AI Infrastructure Engineer", "company" : "Stoke Space", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Infrastructure Engineer in Kent, United States, adjusted for seniority and industry." }, "location" : "Kent, Washington, United States", "locations" : [ "Kent", "Washington", "United States" ], "timestamp" : "2026-06-14T22:16:06.716", "fingerprint" : "967f86ee70dcc75a5b2a6a6b5c87e20d575b5fca1c87b7055123b81f7f244757", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stokespace.com/careers/current-openings?gh_jid=6016411004", "externalId" : "6016411004", "structuredLocations" : [ { "city" : "Kent", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.3826903,-122.2270272" } ], "locationText" : "Kent, Washington, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, TypeScript, Go, LLM, RAG, APIs, Webhooks, Event-driven patterns, AWS, Bedrock, Lambda, ECS, Fargate", "professionalSkills" : [ "Product instinct", "Systems integration", "Prompt engineering", "Evaluation methodologies", "Capacity planning", "Cost optimization", "Latency tuning", "Incident response", "Architectural decision making" ], "hardSkillsList" : [ "AI engineering", "Software development", "Intelligent automation", "Model gateways", "Vector stores", "Evaluation harnesses", "Observability", "Deployment pipelines", "Offline evals", "Online metrics", "Regression tracking", "Human-in-the-loop review", "Data telemetry", "Document stores", "Code repositories", "Business applications", "Data handling", "Access controls", "Prompt injection defenses", "ITAR/export-control considerations", "Runbooks" ], "softSkillsList" : [ "Ownership", "Self-direct" ], "hardSkills" : [ { "name" : "AI engineering", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Intelligent automation", "level" : "intermediate" }, { "name" : "Model gateways", "level" : "intermediate" }, { "name" : "Vector stores", "level" : "intermediate" }, { "name" : "Evaluation harnesses", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Deployment pipelines", "level" : "intermediate" }, { "name" : "Offline evals", "level" : "intermediate" }, { "name" : "Online metrics", "level" : "intermediate" }, { "name" : "Regression tracking", "level" : "intermediate" }, { "name" : "Human-in-the-loop review", "level" : "intermediate" }, { "name" : "Data telemetry", "level" : "intermediate" }, { "name" : "Document stores", "level" : "intermediate" }, { "name" : "Code repositories", "level" : "intermediate" }, { "name" : "Business applications", "level" : "intermediate" }, { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Access controls", "level" : "intermediate" }, { "name" : "Prompt injection defenses", "level" : "intermediate" }, { "name" : "ITAR/export-control considerations", "level" : "intermediate" }, { "name" : "Runbooks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Self-direct" } ], "majorSkills" : "AI Infrastructure, LLM applications, Agentic systems, RAG systems", "majorSkillsList" : [ "AI Infrastructure", "LLM applications", "Agentic systems", "RAG systems" ], "coreResponsibilities" : "Design AI-powered internal tools, Build AI-powered internal tools, Deploy AI-powered internal tools, Build LLM-powered applications, Build agents, Build RAG systems, Build intelligent workflow automations, Integrate with internal systems, Integrate with data sources, Partner with stakeholders, Identify AI tooling opportunities, Translate requirements into technical specs, Evaluate foundation models, Select frameworks, Build prompt evaluation, Build guardrails, Make build-versus-buy decisions, Develop AI engineering stack, Maintain AI engineering stack, Implement evaluation practices, Implement testing practices, Implement monitoring practices, Design integrations with internal systems, Design integrations with data telemetry, Design integrations with document stores, Design integrations with code repositories, Design integrations with business applications, Apply security practices to AI tooling, Apply compliance practices to AI tooling, Operate AI services in production, Produce technical documentation, Produce runbooks, Mentor team members on AI best practices, Raise the bar across the organization", "teamCollaboration" : "Work with engineers; Work with operators; Work with business stakeholders; Cross-functional teams; Internal tooling team", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Space transportation; Reusable launch systems; AI engineering; LLM; Agentic systems; RAG; Cloud-native architecture; ITAR; Export controls", "domainList" : [ "space-transportation", "reusable-launch-systems", "ai-engineering", "llm", "agentic-systems", "rag", "cloud-native-architecture", "itar", "export-controls" ], "domainSpecificKnowledge" : [ "Space transportation", "Reusable launch systems", "AI engineering", "LLM", "Agentic systems", "RAG", "Cloud-native architecture", "ITAR", "Export controls" ], "toolProficiency" : [ "Foundation models", "Vector stores", "Cloud platforms" ], "communicationSkills" : "Translate business problems", "documentationSkills" : "Technical documentation; Runbooks", "continuousLearning" : "Learn on the fly", "innovationCreativity" : "Identify high-leverage opportunities; Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Translate fuzzy business problems", "specialRequirements" : "U. S. citizen or permanent resident, Eligible for export authorizations", "outcomesObjectives" : "Accelerate people building rockets; Meaningfully accelerate people building rockets; Remove friction; Unlock new capabilities; Ship AI tooling that works", "qualificationsBasic" : "Bachelor's or Master's degree in CS or related field, 5–8 years of experience, 2+ years building/shipping production AI/LLM systems, Proficiency in Python, TypeScript, or Go, Deep LLM tooling experience, Software engineering fundamentals, Experience integrating with enterprise systems, Understanding of AI security/privacy concerns, U. S. citizen or permanent resident", "qualificationsPreferred" : "Experience building agentic systems, Experience with vector databases, Experience deploying AI on AWS, Experience with model fine-tuning, Familiarity with ITAR/export controls", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we’re building Nova, our fully and rapidly reusable launch vehicle. Designed for daily flight, Nova tackles the core challenges of space transportation by reducing cost, increasing availability, and improving reliability. By radically lowering launch costs and increasing flight cadence, we’re helping create a truly scalable space industry. Our team is mission-driven, collaborative, and empowered to take ownership of their work. If you want to work alongside some of the most dedicated and talented people on Earth, we’d love to have you join us. Description Reusable launch systems are the key to seamlessly connecting Earth and space. Just as our rocket systems are designed to be reliable, automated, and intelligent, the internal tools that power our engineering and business operations must embody those same principles to help our teams move faster, work smarter, and stay focused on the mission. We are looking for a Senior AI Infrastructure Engineer to design, build, and deploy AI-powered tooling across Stoke’s internal systems. As part of our IT Internal Tooling team, you will identify high-leverage opportunities to apply AI - including large language models, agentic systems, retrieval pipelines, and intelligent automation - and turn them into production-grade tools that meaningfully accelerate the people building rockets. This role requires deep technical expertise in modern AI engineering, software development, and systems integration, combined with a strong product instinct for what to build, what not to build, and how to ship AI tooling that actually works. You will work closely with engineers, operators, and business stakeholders across Stoke to understand their workflows, identify where AI can remove friction or unlock new capabilities, and design and implement robust solutions end-to-end. This is a high-impact role where your work directly shapes how our company operates and how quickly our teams can deliver. You must be ready to stay focused, move quickly, self-direct, and learn on the fly. Responsibilities Design, develop, and deploy AI-powered internal tools end-to-end – from initial use-case discovery and prototyping through production deployment, monitoring, and iteration Build LLM-powered applications, agents, retrieval-augmented generation (RAG) systems, and intelligent workflow automations that integrate with Stoke’s internal systems and data sources Partner with stakeholders across engineering disciplines, manufacturing, supply chain, finance, and other teams to identify high-leverage opportunities for AI tooling and translate them into clear technical requirements Evaluate and select foundation models, frameworks, and platforms; build robust prompt, evaluation, and guardrail systems; and make pragmatic build-versus-buy decisions Develop and maintain the AI engineering stack used by the team, including model gateways, vector stores, evaluation harnesses, observability, and deployment pipelines Implement rigorous evaluation, testing, and monitoring practices for AI systems, including offline evals, online metrics, regression tracking, and human-in-the-loop review Design and implement integrations with internal systems and data including; telemetry data, systems requirements, document stores, code repositories, and business applications – using APIs, webhooks, and event-driven patterns Apply strong security, and compliance practices to AI tooling, including data handling, access controls, prompt injection defenses, and ITAR/export-control considerations Operate AI services in production, including capacity planning, cost optimization, latency tuning, and incident response Produce clear technical documentation, runbooks, and architectural decision records; mentor team members on applied AI best practices and help raise the bar across the organization Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience Combined 5–8 years of experience in software engineering, applied AI/ML, or related roles, with at least 2 years building and shipping production AI or LLM-powered systems Proven track record of designing, deploying, and operating AI-powered applications at scale in a production environment Strong proficiency in at least one modern language commonly used in AI tooling (e.g., Python, TypeScript, Go) Deep, hands-on experience with modern LLM tooling and patterns, including prompt engineering, function/tool calling, agents, RAG, and structured output Working knowledge of one or more major foundation model providers (e.g., Anthropic, OpenAI, AWS Bedrock, Azure OpenAI) and the trade-offs between them Strong software engineering fundamentals: testing, code review, CI/CD, version control, observability, and clean API design Experience integrating with enterprise systems via REST APIs, webhooks, message queues, and event-driven architectures Solid understanding of evaluation methodologies for AI systems, including offline evals, golden datasets, and online quality metrics Strong understanding of AI security and privacy concerns, including data leakage, prompt injection, model misuse, and least-privilege data access Excellent communication skills and the ability to translate fuzzy business problems into concrete, shippable AI solutions Preferred Qualifications Experience building agentic systems with multi-step tool use, planning, and long-running workflows Experience with vector databases, embedding models, hybrid search, and advanced retrieval techniques Experience deploying AI workloads on AWS (Bedrock, Lambda, ECS/Fargate) or comparable cloud platforms Experience with model fine-tuning, distillation, or training custom models for narrow internal use cases Familiarity with ITAR, export controls, or other regulated-data environments and the implications for AI tooling Experience with MCP (Model Context Protocol) servers, internal developer platforms, or building reusable AI infrastructure for other engineers Background in IT, internal tools, or digital transformation functions, with a track record of successful enterprise software rollouts Passion for learning new technologies and sharing knowledge with teammates Benefits Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees. Comprehensive benefits program including subsidized medical, dental, and vision insurance Company-paid life and disability insurance 401(k) plan with employer match 4 weeks’ Paid Time Off Holidays – 10 days (including an end-of-year closure) Paid Family/Parental Leave On-site gym or monthly wellness stipend (depending on location) Dog friendly offices! Compensation Target Levels: Level 4 Range: $192,885 - $289,380 Level 5 Range: $231,525 - $347,235 Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. Your actual level and base salary will be decided based on your specific experience and skill level. ITAR Requirements To conform to U. S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U. S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S. C. 1324b(a)(3), or eligible to obtain the required authorizations from the U. S. Department of State. Equal Opportunity The Company is an Equal Opportunity Employer, including with respect to disability and veteran status. It is committed to compliance with all equal opportunity laws, including the Immigration and Nationality Act (INA) and Title VII. It does not discriminate on the basis of nationality, race, citizenship, immigration status, or any other protected class when it comes to employment practices, including hiring. Employment at the Company is contingent upon satisfactory completion of reference and background checks, and on your ability to prove your identity and authorization to work in the U. S. for the Company. Employees must comply with the United States Citizenship and Immigration Services employment verification requirements, and, therefore, they must complete an Employment Eligibility Verification Form I-9 at the start of employment and re-verify authorization to work periodically. Separate from this I-9 process, this position entails access to certain technology and technical data that is restricted under U. S. export control laws and regulations. Employment or continued employment may be conditioned on your legal authorization to work with or have access to export control materials as necessary to perform your job. Candidate Rights & Accommodations If you require a reasonable accommodation to complete the application or participate in the interview process, please contact careers@stokespace.com. Requests will be handled in accordance with applicable laws. Please do not include medical or other confidential information in your initial request. For more information about your rights, please refer to the \"Know Your Rights\" notice here. E-Verify Stoke Space uses E-Verify to confirm the identity and employment eligibility of all new hires.", "summaryDescription" : "Senior AI Infrastructure Engineer at Stoke Space. Skills: AI Infrastructure, LLM applications, Agentic systems, RAG systems. Design AI-powered internal tools. Build AI-powered internal tools", "postedDate" : "2026-06-11T21:10:42.177", "createdAt" : "2026-06-11T21:10:42.177", "lastUpdated" : "2026-06-14T22:16:06.716", "ingestTimestamp" : "2026-06-11T21:10:42.177", "mongoId" : "6a2a54ec74d8ee00a06052fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI engineering", "Software development", "Intelligent automation", "Model gateways", "Vector stores", "Evaluation harnesses", "Observability", "Deployment pipelines", "Offline evals", "Online metrics", "Regression tracking", "Human-in-the-loop review", "Data telemetry", "Document stores", "Code repositories", "Business applications", "Data handling", "Access controls", "Prompt injection defenses", "ITAR/export-control considerations", "Runbooks", "Ownership", "Self-direct", "AI Infrastructure", "LLM applications", "Agentic systems", "RAG systems", "Product instinct", "Systems integration", "Prompt engineering", "Evaluation methodologies", "Capacity planning", "Cost optimization", "Latency tuning", "Incident response", "Architectural decision making", "Roadmap planning", "Space transportation", "Reusable launch systems", "LLM", "RAG", "Cloud-native architecture", "ITAR", "Export controls", "Foundation models", "Cloud platforms" ], "skillCount" : 46, "jobCategory" : "other", "jobSubcategory" : "software", "dataQualityScore" : 0.8888889, "_score" : 646.99963, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5fe974d8ee00a08efb6e", "title" : "Senior Application / Systems Engineer", "company" : "Encora", "industry" : "Banking and Finance", "salary" : { "min" : 105000.0, "max" : 165000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Application / Systems Engineer in Singapore, adjusted for the banking industry and senior experience level." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-14T22:38:33.409", "fingerprint" : "85060eed1099d5888b30bfc7d425222037b2ffc2760b58a64a51b84777018b4c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/encora10/jobs/5162914007", "externalId" : "5162914007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle, Linux, Unix, Shell Scripting, FIX Protocol, Message Queue, MQ, JBoss, Apache, Tomcat, Java, J2EE, JSP, Servlets, CORBA, React Native, iOS, Android, Jenkins, Bitbucket, Control-M, MS SQL Server, Splunk, Geneos", "professionalSkills" : [ "Equities Trading Systems", "Capital Markets Technology", "System integration", "Market data platforms", "SaaS/cloud implementations", "Mobile application development" ], "hardSkillsList" : [ "FIX messaging" ], "hardSkills" : [ { "name" : "FIX messaging", "level" : "intermediate" } ], "majorSkills" : "Equities Trading Systems, FIX Protocol, System integration", "majorSkillsList" : [ "Equities Trading Systems", "FIX Protocol", "System integration" ], "coreResponsibilities" : "Analyse Equities Trading systems, Design Equities Trading systems, Develop Equities Trading systems, Implement Equities Trading systems, Support Equities Trading systems, Participate in system solution delivery, Analyse business requirements, Analyse technical requirements, Design functional solutions, Design technical solutions, Integrate systems, Interface systems, Develop trading systems, Configure trading systems, Perform unit testing, Perform SIT, Perform UAT, Deploy to production, Provide post-implementation support, Provide production support, Design FIX protocol interfaces, Implement FIX protocol interfaces, Support FIX protocol interfaces, Implement message-driven architectures, Support message-driven architectures, Support Oracle databases, Support Linux platforms, Support Unix platforms, Support order management, Support trade capture, Support settlement feeds, Troubleshoot trading systems, Perform root-cause analysis, Tune trading systems, Ensure solution compliance, Prepare technical documentation, Maintain technical documentation, Prepare operational procedures, Maintain operational procedures, Prepare handover materials, Maintain handover materials", "teamCollaboration" : "Work with business users; Work with application vendors; Work with project managers; Work with infrastructure teams", "projectManagementSkills" : [ "Project managers" ], "domainKnowledge" : "Banking and Finance; Equities Trading Systems; Capital Markets; FIX Protocol; Order management; Trade capture; Settlement feeds", "domainList" : [ "banking-and-finance", "equities-trading-systems", "capital-markets", "fix-protocol", "order-management", "trade-capture", "settlement-feeds" ], "domainSpecificKnowledge" : [ "Banking and Finance", "Equities Trading Systems", "Capital Markets", "FIX Protocol", "Order management", "Trade capture", "Settlement feeds" ], "toolProficiency" : [ "Aldon", "Control-M", "Splunk", "Geneos" ], "documentationSkills" : "Technical documentation; Operational procedures; Handover materials", "problemSolvingSkills" : "Troubleshooting; Root-cause analysis; Performance tuning", "qualificationsBasic" : "6 years relevant experience, Banking & Financial Services IT experience, Equities Trading systems implementation, Equities Trading systems support, FIX Protocol experience, Equity/FX trading systems expertise, Market data platforms expertise, SaaS/cloud implementations expertise, Mobile application development expertise, MS SQL Server hands-on experience, Oracle hands-on experience, Windows hands-on experience, Linux hands-on experience, Shell scripting hands-on experience, Messaging queues hands-on experience, JBoss hands-on experience, Apache hands-on experience, Tomcat hands-on experience, Java hands-on experience, J2EE hands-on experience, JSP/Servlets hands-on experience, FIX messaging hands-on experience, CORBA hands-on experience, React Native hands-on experience, iOS/Android deployment hands-on experience, DevOps tools hands-on experience, Jenkins hands-on experience, Bitbucket hands-on experience, Scheduling tools hands-on experience, Control-M hands-on experience, Setting up applications experience, Network setup experience, Storage setup experience, Agents setup experience, Databases setup experience, Aldon setup experience, Control-M setup experience, Splunk setup experience, Geneos setup experience, Monitoring tools setup experience", "qualificationsPreferred" : "Front-office environment experience, Market technology environment experience, FIX 4.x / FIX 5.x experience", "rawDescription" : "Senior Application / Systems Engineer Important Information Location: Singapore Responsibilities: Analyse, design, develop, implement, and support Equities Trading systems within a Banking and Finance environment. Participate in end‑to‑end system solution delivery, including: Business and technical requirement analysis Functional and technical design System integration and interfacing Development and configuration Unit testing, SIT, UAT, and production deployment Post‑implementation and production support Design, implement, and support FIX protocol based interfaces for order routing, execution, and trade processing. Implement and support message‑driven architectures using Message Queue (MQ) platforms for internal and external system integration. Provide hands‑on support for systems running on Oracle databases and Linux/Unix platforms. Support equities trading functions including order management, executions, trade capture, confirmations, and downstream settlement feeds. Work closely with business users, application vendors, project managers, and infrastructure teams to deliver stable and scalable solutions. Perform production support, troubleshooting, root‑cause analysis, and performance tuning for trading systems. Ensure all solutions comply with security, risk, regulatory, and architectural standards. Prepare and maintain technical documentation, operational procedures, and handover materials. Education Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related discipline. Experience Minimum 6 years of relevant experience in Banking & Financial Services IT. Proven experience in implementing and supporting Equities Trading systems in a front‑office or market technology environment. Strong experience with FIX Protocol (e. g. FIX 4.x / FIX 5.x) for trading and market connectivity. Strong technical and platform expertise in Equity/FX trading systems, market data platforms, SaaS/cloud implementations, and mobile application development. Hands-on experience with MS SQL Server, Oracle, Windows, Linux, shell scripting, messaging queues, JBoss, Apache, Tomcat, Java, J2EE, JSP/Servlets, FIX messaging, CORBA, React Native, iOS/Android deployment, DevOps tools (Jenkins, Bitbucket), and scheduling tools (Control-M). Skilled in setting up applications within newly provisioned environments, including network, storage, agents, databases, Aldon, Control-M, Splunk, Geneos, and other monitoring tools. Technical Skills Database & Platform: Oracle, Linux / Unix, Shell Scripting Integration & Middleware: FIX Protocol, Message Queue (MQ) Domain: Equities Trading Systems, Capital Markets Technology About Encora Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality", "summaryDescription" : "Senior Application / Systems Engineer at Encora. Skills: Equities Trading Systems, FIX Protocol, System integration. Analyse Equities Trading systems. Design Equities Trading systems", "postedDate" : "2026-06-12T22:21:33.566", "createdAt" : "2026-06-12T22:21:33.566", "lastUpdated" : "2026-06-14T22:38:33.409", "ingestTimestamp" : "2026-06-12T22:21:33.566", "mongoId" : "6a2c5fe974d8ee00a08efb6e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "FIX messaging", "Equities Trading Systems", "FIX Protocol", "System integration", "Capital Markets Technology", "Market data platforms", "SaaS/cloud implementations", "Mobile application development", "Project managers", "Banking and Finance", "Capital Markets", "Order management", "Trade capture", "Settlement feeds", "Aldon", "Control-M", "Splunk", "Geneos" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "apac-du", "dataQualityScore" : 0.8888889, "_score" : 646.0532, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking and Finance" }, { "id" : "6a2cc74674d8ee00a0a17b39", "title" : "Partner 20, Design Systems Lead", "company" : "a16z", "industry" : "Consulting", "salary" : { "min" : 450000.0, "max" : 700000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Design Systems Lead in Menlo Park, California, adjusted for a large company in the financial services industry." }, "location" : "Menlo Park, California, United States", "locations" : [ "Menlo Park", "California", "United States" ], "timestamp" : "2026-06-15T05:18:51.798", "fingerprint" : "d4e7aaa608cd553623252e517bc8ba42a63bbc50204839358f57ef2243888fcd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://a16z.com/about/jobs/?gh_jid=7738096003", "externalId" : "7738096003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Menlo Park", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4519671,-122.1779920" } ], "locationText" : "Menlo Park, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI, Figma, Claude, Codex, Krea, Midjourney", "professionalSkills" : [ "Brand design", "Systems building", "Visual language", "Component thinking", "Workflow design", "Repeatable outputs" ], "hardSkillsList" : [ "Markdown", "Prompt engineering", "App development" ], "hardSkills" : [ { "name" : "Markdown", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "App development", "level" : "intermediate" } ], "majorSkills" : "Design systems, Brand translation, AI skills", "majorSkillsList" : [ "Design systems", "Brand translation", "AI skills" ], "coreResponsibilities" : "Own design systems function, Set direction, Maintain standards, Translate brand systems, Build repeatable systems, Write brand documentation, Build AI skills, Vibe-code lightweight apps, Create tools for non-designers, Partner with designers, Distill visual systems, Spot patterns, Improve systems, Train people on tools, Track adoption", "teamCollaboration" : "Cross-functional teams; Project manager; New media ops", "domainKnowledge" : "Design systems; Brand guidelines; AI workflows; Component libraries; AI skills; Self-serve infrastructure; Visual language; AI-powered tools; Repeatable design needs; AI-generated outputs; Design use cases", "domainList" : [ "design-systems", "brand-guidelines", "ai-workflows", "component-libraries", "ai-skills", "self-serve-infrastructure", "visual-language", "ai-powered-tools", "repeatable-design-needs", "ai-generated-outputs", "design-use-cases" ], "domainSpecificKnowledge" : [ "Design systems", "Brand guidelines", "AI workflows", "Component libraries", "AI skills", "Self-serve infrastructure", "Visual language", "AI-powered tools", "Repeatable design needs", "AI-generated outputs", "Design use cases" ], "toolProficiency" : [ "Figma", "Google Workspace", "Claude", "Codex", "Gamma", "Krea", "Midjourney" ], "communicationSkills" : "Brand documentation; Skill instruction files; Written documentation; Video walkthroughs", "documentationSkills" : "Brand documentation; Style references; Skill instruction files", "innovationCreativity" : "AI-powered workflows; Vibe-code lightweight apps; Custom tools", "problemSolvingSkills" : "Recurring design problem", "outcomesObjectives" : "Produce high-quality work; Create scalable templates; Produce polished work independently; Keep systems current; Improve systems based on feedback; Ensure tools get used", "qualificationsBasic" : "4+ years of experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds. We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world. Design at a16z Most design orgs are built to execute. A request comes in, a designer makes the thing, and it goes out the door. That model works (until the volume of requests outpaces the size of the team), and suddenly design becomes a bottleneck instead of a multiplier. We're building something different. The future of design at a16z isn't a bigger team cranking out more assets: it's a design function that scales through systems. Templates, tools, AI-powered workflows, and self-serve infrastructure that let anyone at the firm create high-quality, on-brand work without routing every request through a designer. AI makes this possible in ways it wasn't before. But only if someone builds the design systems right, which means deeply understanding our brand, not just the tools. We have an existing foundation: brand guidelines, component libraries, AI skills and apps, and other templates across our core use cases—and we're looking for someone to take that foundation and continue to build it into something the whole firm can run on. The Role We're hiring a Design Systems Lead to own and evolve that infrastructure. This is a clear ownership role: you're the person accountable for the quality, consistency, and reach of our design systems, and for what gets built next. The work itself is equal parts brand design and systems building: half deep, intuitive command of the a16z visual language, half thinking in components, workflows, and repeatable outputs. You'll translate our brand into component libraries, AI skills, AI-powered tools, and self-serve templates the whole firm can use. That means writing clean markdown files, building high-functioning AI skills from scratch, and vibe-coding lightweight apps purpose-built for design use cases. What you're building is the invisible design framework for the firm. The work it produces shouldn't be. We are open to candidates based in the San Francisco Bay Area, CA or New York City, NY. To join our team, you should be excited to: Take clear ownership of the a16z design systems function: setting the direction, maintaining the standards, and being accountable for what gets built and how well it works Translate a16z brand systems into scalable templates, components, and modular frameworks across Krea, Figma, Google Workspace, Claude, Codex, Gamma, and many other core platforms with enough command of the brand to make those systems feel designed, not just functional Build repeatable systems for high-volume design needs (presentations, social assets, event materials, charts) so these don't require a designer every time Write and maintain markdown-based brand documentation, style references, and skill instruction files that serve as the source of truth for AI-generated outputs Build high-functioning AI skills from scratch: structured prompts, reference frameworks, and training inputs that produce design work that's distinctly and consistently a16z Vibe-code lightweight apps and custom tools purpose-built for design use cases (generators, formatters, asset builders, etc.) using whatever combination of AI models, APIs, and front-end code gets the job done Create tools and templates that let non-designers produce polished, on-brand work independently, without the output looking like it came from a template Partner with designers to distill complex visual systems into usable building blocks, and keep those systems current as the brand evolves Spot patterns in repeatable work, build toward them, and continuously improve what's running based on real usage and feedback Occasionally train people across the firm on the tools and systems we build (whether that's written documentation, a quick video walkthrough, or a 1:1) so what we make actually gets used the way it was intended Work with the project manager and new media ops team to track adoption and efficiency gains across the firm Minimum Qualifications 4+ years of experience in brand design, design systems, product design, or a related field A deep command of visual identity: quick to sense when something’s off, and able to diagnose and resolve it systematically Strong Figma skills, including building and maintaining design systems, libraries, and component structures others actually use Fluent in typography, layout, and the details that separate considered design from competent design Experience writing and scaling AI skills, not just prompting, but structuring reference frameworks, markdown files, and instruction sets that produce reliably on-brand outputs Comfortable vibe-coding: you've built lightweight apps, generators, or custom tools for design use cases, and you know where the edges are AI is already part of how you work, not something you're experimenting with; you've used tools like Claude, Codex, Krea, Midjourney, or similar and you’re curious about what’s next. You see the forest and the tree(s): if given a recurring design problem, your instinct is to build something comprehensive, not just solve it once A natural collaborator with low ego and high empathy: you work well across teams and can translate between design thinking and the needs of people who don't speak it The anticipated salary range for this role is between $210,000 - $245,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope. This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave. a16z culture We do only first class business and only in a first class way We take a long view of relationships, because we are in the relationship business We believe in the future and bet the firm that way We are all different, we recognize that, and we win We celebrate the good times We do it for the team We play to win At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World. Our organization participates in E-Verify. Click here to learn about E-Verify. Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.", "summaryDescription" : "Partner 20, Design Systems Lead at a16z. Skills: Design systems, Brand translation, AI skills. Own design systems function. Set direction", "postedDate" : "2026-06-14T02:23:25.975", "createdAt" : "2026-06-14T02:23:25.975", "lastUpdated" : "2026-06-15T05:18:51.798", "ingestTimestamp" : "2026-06-14T02:23:25.975", "mongoId" : "6a2cc74674d8ee00a0a17b39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 450000, "salaryAnnualMax" : 700000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Markdown", "Prompt engineering", "App development", "Design systems", "Brand translation", "AI skills", "Brand design", "Systems building", "Visual language", "Component thinking", "Workflow design", "Repeatable outputs", "Brand guidelines", "AI workflows", "Component libraries", "Self-serve infrastructure", "AI-powered tools", "Repeatable design needs", "AI-generated outputs", "Design use cases", "Figma", "Google Workspace", "Claude", "Codex", "Gamma", "Krea", "Midjourney" ], "skillCount" : 27, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 644.08954, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b6174d8ee00a0911fbe", "title" : "Applied AI Engineer", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Applied AI Engineer in the United States, adjusted for industry and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:41:02.123", "fingerprint" : "b4a6da4d313b6692e1a191f1e4f67748dc17e7e357d10a7f188c8b340021fe6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4680768006", "externalId" : "4680768006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, ML, LLM, RAG, Embeddings, Vector stores, OpenAI, Anthropic, Open-source models", "professionalSkills" : [ "System design", "Cost efficiency", "Reliability engineering", "Observability" ], "hardSkillsList" : [ "Prompt engineering", "Tool use", "Structured outputs", "Retrieval optimization", "Grounding", "SFT", "RLHF", "LoRA" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Structured outputs", "level" : "intermediate" }, { "name" : "Retrieval optimization", "level" : "intermediate" }, { "name" : "Grounding", "level" : "intermediate" }, { "name" : "SFT", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" }, { "name" : "LoRA", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Agent systems, LLM workflows, RAG pipelines", "majorSkillsList" : [ "Applied AI", "Agent systems", "LLM workflows", "RAG pipelines" ], "coreResponsibilities" : "Design clinical AI agents, Build clinical AI agents, Deploy clinical AI agents, Reason over patient context, Invoke tools, Generate care recommendations, Own reliability, Own observability, Own cost efficiency, Build RAG pipelines, Optimize RAG pipelines, Develop evaluation frameworks, Design agent orchestration, Translate care needs", "teamCollaboration" : "Clinical teams; Product teams; Engineering teams", "domainKnowledge" : "Clinical data; Clinical Intelligence platform; Clinical knowledge bases; Treatment protocols; HIPAA; SOC 2; Clinical data handling", "domainList" : [ "clinical-data", "clinical-intelligence-platform", "clinical-knowledge-bases", "treatment-protocols", "hipaa", "soc-2", "clinical-data-handling" ], "domainSpecificKnowledge" : [ "Clinical data", "Clinical Intelligence platform", "Clinical knowledge bases", "Treatment protocols", "HIPAA", "SOC 2", "Clinical data handling" ], "problemSolvingSkills" : "Error recovery; Root cause analysis", "outcomesObjectives" : "Surface proactive care recommendations; Take action on behalf of clinicians", "qualificationsBasic" : "Bachelor's or Master's degree, 3+ years software engineering, 2+ years AI/ML production, Hands-on LLM APIs, Experience building RAG systems", "qualificationsPreferred" : "Agent frameworks experience preferred, Fine-tuning experience preferred, Healthcare experience preferred, Regulated-industry experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring an Applied AI Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes. You'll own the full lifecycle of AI-powered clinical workflows: retrieval, reasoning, tool use, evaluation, and safety guardrails. If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you. What You'll Do Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations. Own reliability, observability, and cost efficiency of LLM-powered workflows at scale. Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data. Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD. Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths. Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design. Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture. What You Need Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience 3+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $135,000 – $165,000 annual base salary, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.", "summaryDescription" : "Applied AI Engineer at Cadence Solutions. Skills: Applied AI, Agent systems, LLM workflows, RAG pipelines. Design clinical AI agents. Build clinical AI agents", "postedDate" : "2026-06-13T20:46:58.939", "createdAt" : "2026-06-13T20:46:58.939", "lastUpdated" : "2026-06-15T07:41:02.123", "ingestTimestamp" : "2026-06-13T20:46:58.939", "mongoId" : "6a2c6b6174d8ee00a0911fbe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Tool use", "Structured outputs", "Retrieval optimization", "Grounding", "SFT", "RLHF", "LoRA", "Applied AI", "Agent systems", "LLM workflows", "RAG pipelines", "System design", "Cost efficiency", "Reliability engineering", "Observability", "Clinical data", "Clinical Intelligence platform", "Clinical knowledge bases", "Treatment protocols", "HIPAA", "SOC 2", "Clinical data handling" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 641.5399, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d2074d8ee00a0978313", "title" : "AI Engineer", "company" : "Makai Labs", "industry" : "Engineering", "salary" : { "min" : 115000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York", "locations" : [ "New York", "California", "Massachusetts", "New Jersey", "Texas" ], "timestamp" : "2026-06-15T08:05:53.096", "fingerprint" : "c6212614beb227d15d1d6fbf953967f2056b24282d2af8b424fa6c68344b45eb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/makai-labs/a350e730-8d80-4528-9d41-497acbd01223/application", "externalId" : "a350e730-8d80-4528-9d41-497acbd01223", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI, Python, LLMs, FastAPI, Flask, React, TypeScript, Docker, OCR", "professionalSkills" : [ "System design", "Product development", "Client initiatives", "Platform initiatives" ], "hardSkillsList" : [ "AI experimentation", "Rapid prototyping", "Iterative development", "Workflow implementation", "Benchmarking", "Testing", "Evaluation" ], "softSkillsList" : [ "Willingness to learn", "Bias toward action", "Flexible thinker", "Congenial" ], "hardSkills" : [ { "name" : "AI experimentation", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" }, { "name" : "Iterative development", "level" : "intermediate" }, { "name" : "Workflow implementation", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Willingness to learn" }, { "name" : "Bias toward action" }, { "name" : "Flexible thinker" }, { "name" : "Congenial" } ], "majorSkills" : "AI Engineering, Machine Learning, LLM Implementation, System Automation", "majorSkillsList" : [ "AI Engineering", "Machine Learning", "LLM Implementation", "System Automation" ], "coreResponsibilities" : "Build AI-powered applications, Improve AI-powered applications, Build internal tools, Improve internal tools, Rapidly prototype, Experiment, Iterate across projects, Implement LLM workflows, Implement retrieval systems, Implement agents, Implement structured outputs, Contribute to platform work, Contribute to reusable tooling, Turn prototypes into systems, Conduct research, Conduct benchmarking, Conduct testing, Conduct evaluation, Own smaller projects, Own sub-projects, Take ownership of deliverables, Deliver work for clients", "teamCollaboration" : "Engineering teams; Design teams; Client projects; Internal projects", "projectManagementSkills" : [ "Ownership" ], "domainKnowledge" : "Enterprise automation; LLMs; Retrieval systems; Embeddings; Search; OCR; Document processing; PDF workflows", "domainList" : [ "enterprise-automation", "llms", "retrieval-systems", "embeddings", "search", "ocr", "document-processing", "pdf-workflows" ], "domainSpecificKnowledge" : [ "Enterprise automation", "LLMs", "Retrieval systems", "Embeddings", "Search", "OCR", "Document processing", "PDF workflows" ], "toolProficiency" : [ "FastAPI", "Flask", "React", "TypeScript", "Docker" ], "communicationSkills" : "Internal documentation", "documentationSkills" : "Internal documentation", "continuousLearning" : "Career growth; Development opportunities", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Meet client needs", "qualificationsBasic" : "Senior in college, Recent graduate, Early-career engineer, Background in computer science, Experience building AI applications, Experience running AI experiments, Python skills", "qualificationsPreferred" : "Business exposure, Experience with APIs, Experience with backend services, Experience with workflow automation, Familiarity with FastAPI, Familiarity with Flask, Familiarity with React, Familiarity with TypeScript, Familiarity with Docker, Familiarity with local development environments, Familiarity with testing in Python, Familiarity with testing in TypeScript, Experience with retrieval systems, Experience with embeddings, Experience with search, Experience with OCR, Experience with document processing, Experience with PDF workflows, Experience with fine-tuning LLMs, Experience with benchmarking LLMs, Experience with serving LLMs, Experience in fast-paced teams, Experience in high-accountability teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "AI Engineer Who we are Makai Labs builds software that automates entire companies. We work across a diversified portfolio, which means our systems touch a wide range of domains, processes, and operational constraints. Our engineering team is small, senior, and high-output. We move fast, hold high standards, and trust each other to take ownership without being managed. What we're looking for Makai Labs is hiring a AI Engineer to help build AI systems for enterprise automation. This is a hands-on builder role where you’ll work closely with our engineering and design teams to prototype, ship, and improve AI-powered products and internal tools. You’ll have the opportunity to own smaller projects end to end while contributing to larger client and platform initiatives. Responsibilities will include - Build and improve AI-powered applications and internal tools - Rapidly prototype, experiment, and iterate across client and internal projects - Implement workflows that use LLMs, retrieval systems, agents, and structured outputs - Contribute to shared platform work and reusable tooling - Turn prototypes into reliable, client-ready systems - Conduct research, benchmarking, testing, and evaluation of new approaches - Own smaller projects or sub-projects with guidance from the team - Take ownership of deliverables and help deliver work that meets client needs - Write and maintain clear internal documentation Ideal Experience - Senior in college, recent graduate, or early-career engineer - Background in computer science (bonus if you also have business exposure) - Experience building AI applications through internships, coursework, research, or personal projects - Experience running AI experiments and iterating quickly - Strong Python skills What we value - Initiative and willingness to learn quickly on the job - Bias toward action and comfort with fast iteration - Interest in staying current with AI advancements and applying them in practical systems - Wants to solve hard problems Nice To Haves - Experience with APIs, backend services, or workflow automation - Familiarity with FastAPI, Flask, or similar backend frameworks - Familiarity with React and TypeScript - Familiarity with Docker and local development environments - Familiarity with testing in Python or TypeScript - Experience working with retrieval systems, embeddings, or search - Experience working with OCR, document processing, or PDF workflows - Experience with fine-tuning, benchmarking, or serving LLMs - Experience in fast-paced, high-accountability team settings Core values for Makai employees - Have a strong work ethic - Be self-sufficient and self-driven with an ownership mentality, no matter your role - Be a flexible thinker - Be congenial and a team player - Always be of service to each other and our clients, partners, and neighbors Benefits - Fully remote role, Eastern time zone - Opportunities to work in-person with local colleagues - Generous PTO - Full health insurance premium reimbursement - 401(k) matching - Career growth & development opportunities", "summaryDescription" : "AI Engineer at Makai Labs. Skills: AI Engineering, Machine Learning, LLM Implementation, System Automation. Build AI-powered applications. Improve AI-powered applications", "createdAt" : "2026-06-14T04:05:42.176", "lastUpdated" : "2026-06-15T08:05:53.096", "ingestTimestamp" : "2026-06-14T04:05:42.176", "mongoId" : "6a2c8d2074d8ee00a0978313", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI experimentation", "Rapid prototyping", "Iterative development", "Workflow implementation", "Benchmarking", "Testing", "Evaluation", "Willingness to learn", "Bias toward action", "Flexible thinker", "Congenial", "AI Engineering", "Machine Learning", "LLM Implementation", "System Automation", "System design", "Product development", "Client initiatives", "Platform initiatives", "Ownership", "Enterprise automation", "LLMs", "Retrieval systems", "Embeddings", "Search", "OCR", "Document processing", "PDF workflows", "FastAPI", "Flask", "React", "TypeScript", "Docker" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 641.33997, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b035474d8ee00a074f290", "title" : "Applications Systems Specialist II", "company" : "The Nc Dhhs Information Technology Division", "industry" : "Healthcare", "salary" : { "min" : 91600.0, "max" : 160299.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Wake County, NC", "locations" : [ "Wake County, NC", "United States of America" ], "timestamp" : "2026-06-14T14:38:21.285", "fingerprint" : "b1452503f4909afdc748201039c44e5158908861312b5791f349cde6e320b218", "source" : "workday", "language" : "en", "applyUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wake-County-NC/Application-Systems-Specialist-II_JR-100828", "externalId" : "JR-100828", "industryFunction" : { }, "locationPoint" : "34.81156,134.14264", "structuredLocations" : [ { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "technicalSkills" : "AWS, Python, Bash, PowerShell, Terraform, CloudFormation, Ansible, EC2, S3, VPC, Subnet, Messaging, RDS, Windows, Linux", "professionalSkills" : [ "Cloud Operations", "Infrastructure troubleshooting", "Technical leadership", "Cost optimization", "Performance tuning", "Compliance alignment" ], "hardSkillsList" : [ "Server management", "Database support", "Infrastructure deployment", "Automation", "Orchestration", "Patching", "Upgrades" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Server management", "level" : "intermediate" }, { "name" : "Database support", "level" : "intermediate" }, { "name" : "Infrastructure deployment", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Patching", "level" : "intermediate" }, { "name" : "Upgrades", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AWS infrastructure, Cloud Operations, Automation", "majorSkillsList" : [ "AWS infrastructure", "Cloud Operations", "Automation" ], "coreResponsibilities" : "Provision and maintain AWS infrastructure, Support large-scale IT applications, Drive automation and orchestration, Use IaC and CI/CD tools, Troubleshoot AWS infrastructure, Resolve operational issues, Ensure high availability, Plan, review, and deploy patches, Deploy upgrades, Address platform audit findings, Address infrastructure audit findings, Lead operational cost optimization, Lead cloud performance tuning, Coordinate infrastructure planning, Coordinate compliance alignment, Provide technical guidance, Set team priorities, Support incident response, Support issue resolution, Ensure security alignment, Ensure privacy alignment", "teamCollaboration" : "Cross-functional collaboration; Collaboration with internal teams", "projectManagementSkills" : [ "CI/CD" ], "domainKnowledge" : "Hybrid data center environment; Security standards; Privacy standards", "domainList" : [ "hybrid-data-center-environment", "security-standards", "privacy-standards" ], "domainSpecificKnowledge" : [ "Hybrid data center environment", "Security standards", "Privacy standards" ], "toolProficiency" : [ "Terraform", "CloudFormation", "Ansible" ], "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Bachelor's degree in computer science or IT field, Associate's degree in computer science or IT field, High School diploma or GED, Six years of progressive experience, Seven years of progressive experience, Ten years of experience", "qualificationsPreferred" : "Demonstrated experience with provisioning and managing AWS infrastructure, Demonstrated experience with scripting in Python, Bash, or PowerShell, Demonstrated experience with infrastructure automation tools, Demonstrated experience managing AWS services, Demonstrated experience supporting cloud environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Agency** Dept of Health and Human Services **Division** SEC OFFICE - INFO TECH - NC FAST **Job Classification Title** Applications Systems Specialist II (NS) **Position Number** 65017826 **Grade** DT11 **About Us** The North Carolina Department of Health and Human Services (DHHS) is one of the largest, most complex agencies in the state, and has approximately 17,000 employees. It is responsible for ensuring the health, safety, and well-being of all North Carolinians, providing human service needs for special populations including individuals who are deaf, blind, developmentally disabled, and mentally ill, and helping poor North Carolinians achieve economic independence. **Description of Work** This position serves as the Cloud Operations Lead responsible for provisioning and administering enterprise-grade AWS infrastructure supporting complex information technology applications across DHHS. Operating in a hybrid data center environment, this role ensures continuous system availability, drives automation and optimization, and ensures compliance with security and privacy standards. The position requires technical leadership in areas such as server management, database support, and infrastructure troubleshooting, and plays a vital role in supporting operational needs and emergency response scenarios. Key duties span infrastructure deployment, team guidance, and cross-functional collaboration within a mission-critical IT environment. Key Duties Include: -Provisions and maintains enterprise-grade AWS infrastructure to support large-scale IT applications. -Drives automation and orchestration of cloud infrastructure using IaC and CI/CD tools. -Troubleshoots AWS infrastructure and resolves operational issues to ensure high availability. -Plans, reviews, and deploys patches and upgrades in mixed (Windows/Linux) AWS environments. -Addresses platform and infrastructure-related audit findings in collaboration with internal teams. -Leads operational cost optimization and cloud performance tuning initiatives. -Coordinates with internal teams on infrastructure planning and compliance alignment. -Provides technical guidance to operations staff and sets team priorities. -Supports incident response and resolution for cloud production issues. -Ensures alignment with security and privacy requirements in all operational practices. **Knowledge Skills and Abilities/Management Preferences** ## _**Salary Grade Range: $91,600.00 - $160,299.00**_ ## _Candidates now meet the minimum qualifications for a position if they possess the minimum education and experience listed in the vacancy announcement._ _The Knowledge, Skills, and Abilities (KSAs)/ Management Preferences are not required. Applicants who possess the following skills are preferred:_ * Demonstrated experience with provisioning and managing AWS infrastructure for large-scale applications. * Demonstrated experience with scripting in Python, Bash, or PowerShell for automation. * Demonstrated experience with infrastructure automation tools such as Terraform, CloudFormation, or Ansible. * Demonstrated experience managing AWS services, including EC2, S3, VPC/Subnet, Messaging, and RDS. * Demonstrated experience supporting cloud environments with a focus on operational stability and compliance. ## **REPOST - Previous Applicants Do Not Need To Reapply To Be Considered For This Vacancy** ## ** _The Posting Will Close At 11:59 P.M. The Night Before The End Date_** ## _**This Position Is Funded In Part Through Federal Funds**_ ## **About the NC DHHS Information Technology Division:** In collaboration with our partners, the North Carolina Department of Health and Human Services (DHHS) protects the health and safety of all North Carolinians and provides essential health and human services. The IT division (ITD) is one of the divisions that reports to the Operational Excellence portfolio. The ITD division comprises six sections: Implementation and Operations, Strategy and Workforce, Enterprise Technology, Vendor and Finance, Data and Analytics, and Cyber and Privacy. Team ITD offers the following services, but not limited to, implementations, operations, project/portfolio management, infrastructure, consulting, business division liaison, digital transformation, IT strategy, enterprise technology, IT contract and vendor management, and data office services. ## **Compensation and Benefits:** The State of North Carolina offers excellent comprehensive benefits. Employees can participate in health insurance options, standard and supplemental retirement plans, and the NCFlex program (numerous high-quality, low-cost benefits on a pre-tax basis). Employees also receive paid vacation, sick, and community service leave. In addition, paid parental leave is available to eligible employees. Visit the website for [State Benefits](https://oshr.nc.gov/state-employee-resources/benefits) ## **Supplemental Contact Information** The North Carolina Department of Health and Human Services (DHHS) is an Equal Opportunity Employer that embraces an Employment First philosophy, which consists of complying with all federal laws, state laws, and Executive Orders. We are committed to reviewing requests for reasonable accommodation at any time during the hiring process or while on the job. For more information about DHHS: _._ DHHS uses the Merit-Based Recruitment and Selection Plan to fill positions subject to the State Human Resources Act with the most qualified individuals. Hiring salary will be based on relevant qualifications, internal equity, and budgetary considerations pertinent to the advertised position. In accordance with the Governor’s [Executive Order 303](https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgovernor.nc.gov%2Fexecutive-order-no-303%2Fopen&data=05%7C02%7Csamantha.costa%40commerce.nc.gov%7C62856c4dc3364b9449f608dc5b2499a8%7C7a7681dcb9d0449a85c3ecc26cd7ed19%7C0%7C0%7C638485459976214045%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=QMPRMksyCzARBEP8pjuvnhayVBx9Y4Lqv2x7mTq6S%2B4%3D&reserved=0), our agency supports second-chance employment for individuals who were previously incarcerated or justice-involved. We invite all potential applicants to apply for positions for which they may be qualified. __Application Process__ **Be sure to complete the application in its entirety.** _Resumes will not be accepted in lieu of completing this application._ * Information should be provided in the appropriate areas, to include the following: Education, including high school and all degrees obtained, Work Experience, and Certificates & Licenses. It is critical to our screening and salary determination process that applications contain comprehensive candidate information. * Answers to Supplemental Questions are not a substitute for providing all relevant information within the body of your application. To receive credit for the supplemental questions, you must provide supporting information within the \"Work Experience\" section of the application to support your answers. * If multiple applications are submitted to an individual posting, only the most recent application received prior to the closing date will be accepted. Applications must be submitted by 5:00 PM on the closing date. * Applicants _may_ be subject to a criminal background check. All candidates selected for positions considered \"Positions of Trust\" _will be_ subject to a criminal background check. * Due to the volume of applications received, we are unable to provide information regarding the status of your application over the phone. To check the status of your application, please log in to your account. Upon the closing date, applications are \"Under Review\" and will be screened by Human Resources for the qualified applicants. The hiring process may take several weeks. * Degrees must be received from appropriately accredited institutions. Transcripts and degree evaluations may be uploaded with your application. The State of North Carolina/Office of State Human Resources uses the National Association of Credential Evaluation Services (NACES) as a referral resource for applicants who need to have their credentials certified as equivalent. * For a list of organizations that perform this specialized service, please visit the NACES membership website at _._ __Degree/College Credit Verification__ Degrees must be received from appropriately accredited institutions. _Transcripts, degree evaluations, and cover letters may be uploaded with your application._ __Veterans’ and National Guard Preference__ * Applicants seeking Veteran's Preference must attach a DD-214 Member-4 Form (Certificate of Release or Discharge from Active Duty) to their applications. * Applicants seeking National Guard Preference must attach an NGB 23A (RPAS), along with the state application, if they are a current member of the NC National Guard in good standing. * Applicants who are former members of either the NC Army National Guard or the NC Air National Guard, with honorable discharge and six years of creditable service, must attach a copy of the DD 256 or NGB 22, along with the state application. __ADA Accommodations__ Consistent with the Americans with Disabilities Act (ADA) and the Pregnant Workers Fairness Act (PWFA), DHHS is committed to the full inclusion of all qualified individuals. As part of this commitment, DHHS will ensure that people with disabilities, or known limitations covered by the PWFA, are provided with reasonable accommodation. If reasonable accommodation is needed to participate in the job application or interview process, please contact the person indicated below. __CONTACT INFORMATION:__ If there are any questions about this posting, please contact Talent Acquisition at [talentacquisition@dhhs.nc.gov](mailto:talentacquisition@dhhs.nc.gov)._**Resumes will not be accepted in lieu of completing this application.**_ **Minimum Education and Experience** Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. Bachelor's degree in computer science or an IT-related field, or related technical degree from an appropriately accredited institution, and six years of progressive experience in business application, business intelligence, or enterprise application consulting or development **OR** Associate's degree in computer science or an IT-related field, or related technical degree from an appropriately accredited institution, and seven years of progressive experience in business application consulting or development **OR** High School or General Education Development (GED) diploma and ten years of experience in business application, business intelligence, or enterprise application consulting or development **OR** An equivalent combination of education and experience **EEO Statement** The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. **Recruiter:** Tresha Walker **Email:** talentacquisition@dhhs.nc.gov", "summaryDescription" : "Applications Systems Specialist II at The Nc Dhhs Information Technology Division. Skills: AWS infrastructure, Cloud Operations, Automation. Provision and maintain AWS infrastructure. Support large-scale IT applications", "postedDate" : "2026-06-10T02:44:57.163", "createdAt" : "2026-06-12T02:44:57.122", "lastUpdated" : "2026-06-14T14:38:21.285", "ingestTimestamp" : "2026-06-12T02:44:57.122", "mongoId" : "6a2b035474d8ee00a074f290", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wake-County-NC/Application-Systems-Specialist-II_JR-100828", "salaryAnnualMin" : 91600, "salaryAnnualMax" : 160299, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Server management", "Database support", "Infrastructure deployment", "Automation", "Orchestration", "Patching", "Upgrades", "Leadership", "AWS infrastructure", "Cloud Operations", "Infrastructure troubleshooting", "Technical leadership", "Cost optimization", "Performance tuning", "Compliance alignment", "CI/CD", "Hybrid data center environment", "Security standards", "Privacy standards", "Terraform", "CloudFormation", "Ansible" ], "skillCount" : 22, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 636.4341, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a2c8b6874d8ee00a0972c12", "title" : "Senior Software Engineer, Cloud Applications", "industry" : "Engineering", "salary" : { "min" : 176000.0, "max" : 237000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T01:03:49.738", "fingerprint" : "0ec7509052a31f54bccb9247878b6ca6da9a68f3632c52d886e8457af7f3237d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/temporal/ae3eb94c-a906-43cc-8843-c6d6360fd4f5/application", "externalId" : "ae3eb94c-a906-43cc-8843-c6d6360fd4f5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Go, Postgres, Redshift, Kafka, Kinesis, S3, Google Cloud Storage, Azure Blob Storage, Clickhouse, Kubernetes, Temporal", "professionalSkills" : [ "Technical design", "System design", "Data pipeline architecture", "Schema design", "Event schemas", "Data quality", "Code quality", "Design patterns", "Observability", "Incident response", "Developer experience", "Customer experience", "Platform improvements" ], "hardSkillsList" : [ "Concurrency", "Reliability", "Scaling", "Consistency", "Failure handling", "Schema contracts", "Anomaly detection", "Alerting", "Maintainability", "Automation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Concurrency", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Scaling", "level" : "intermediate" }, { "name" : "Consistency", "level" : "intermediate" }, { "name" : "Failure handling", "level" : "intermediate" }, { "name" : "Schema contracts", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" }, { "name" : "Maintainability", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cloud Applications, Distributed Systems, Data Pipelines", "majorSkillsList" : [ "Cloud Applications", "Distributed Systems", "Data Pipelines" ], "coreResponsibilities" : "Lead design of business-critical systems, Own technical design and delivery, Build systems for namespace scalability, Build systems for reliability, Build customer data products, Partner with analytics engineers, Partner with product engineers, Translate business questions, Define data pipeline architecture, Evolve data pipeline architecture, Establish schema contracts, Establish pipeline anomaly detection, Establish alerting for failures, Set quality standards, Introduce patterns and tooling, Improve maintainability, Improve observability, Improve incident response, Grow engineers, Unblock execution, Foster culture of ownership, Foster culture of learning, Foster culture of pragmatic excellence, Improve developer experience, Improve customer experience, Streamline customer flows via automation, Streamline customer flows via tooling, Streamline customer flows via platform improvements", "teamCollaboration" : "Partner with engineers; Partner with product managers; Partner with solutions architects; Work across functions", "domainKnowledge" : "Namespaces; Audit Logs; Export; Temporal Cloud; Distributed systems; Cloud environments; Data pipelines; Storage systems; Production operations", "domainList" : [ "namespaces", "audit-logs", "export", "temporal-cloud", "distributed-systems", "cloud-environments", "data-pipelines", "storage-systems", "production-operations" ], "domainSpecificKnowledge" : [ "Namespaces", "Audit Logs", "Export", "Temporal Cloud", "Distributed systems", "Cloud environments", "Data pipelines", "Storage systems", "Production operations" ], "toolProficiency" : [ "Kubernetes" ], "communicationSkills" : "Written communication; Verbal communication; Design docs; Align stakeholders", "documentationSkills" : "Design docs", "innovationCreativity" : "Builder's mindset", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Pragmatic excellence", "specialRequirements" : "On-call readiness", "qualificationsBasic" : "Deep experience designing production-grade backend systems, Proficiency in at least one systems or backend language, Hands-on experience building distributed systems, Solid experience with data pipelines and storage systems, Experience with production operations, Ability to work effectively across functions, Written and verbal communication", "qualificationsPreferred" : "Go preferred, Kubernetes experience a plus", "remoteFriendly" : true, "rawDescription" : "Summary We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. In this role, you'll set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you. What You’ll Do - Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them. - Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them. - Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance. - Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers. - Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team. - Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. - Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load. What You’ll Bring - Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong. - Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence. - Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production. - Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale. - Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery. - Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans. - Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it. - A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them. What You Can Expect - High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability - Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes - Exceptional technical colleagues and a feedback-rich environment - Lean processes and autonomy without unnecessary bureaucracy - Strong emphasis on reliability and operational excellence—balanced with rapid iteration - A team that values mentorship, thoughtful design, and steady improvements that compound over time Technology Stack - Primary Language: Go - Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage, Clickhouse - Data Processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core Framework: Temporal (of course \uD83D\uDE09) Compensation - The estimated pay range for this role is $176,000 – $237,000 depending on experience and location. - This role is also eligible to participate in Temporal’s equity plan.", "summaryDescription" : "Senior Software Engineer, Cloud Applications. Skills: Cloud Applications, Distributed Systems, Data Pipelines. Lead design of business-critical systems. Own technical design and delivery", "createdAt" : "2026-06-14T19:11:41.234", "lastUpdated" : "2026-06-16T01:03:49.738", "ingestTimestamp" : "2026-06-14T19:11:41.234", "mongoId" : "6a2c8b6874d8ee00a0972c12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 176000, "salaryAnnualMax" : 237000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Concurrency", "Reliability", "Scaling", "Consistency", "Failure handling", "Schema contracts", "Anomaly detection", "Alerting", "Maintainability", "Automation", "Leadership", "Mentoring", "Cloud Applications", "Distributed Systems", "Data Pipelines", "Technical design", "System design", "Data pipeline architecture", "Schema design", "Event schemas", "Data quality", "Code quality", "Design patterns", "Observability", "Incident response", "Developer experience", "Customer experience", "Platform improvements", "Namespaces", "Audit Logs", "Export", "Temporal Cloud", "Distributed systems", "Cloud environments", "Data pipelines", "Storage systems", "Production operations", "Kubernetes" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 636.06665, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a534d74d8ee00a05fd9cc", "title" : "Principal Engineer, AI Systems", "company" : "Block", "salary" : { "min" : 350000.0, "max" : 650000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal Engineer, AI Systems in the Bay Area, adjusted for executive seniority and technology industry." }, "location" : "US - CA - Bay Area - Remote", "locations" : [ "US - CA - Bay Area - Remote" ], "timestamp" : "2026-06-13T19:33:12.947", "fingerprint" : "9dafaad0706f9eba18715ba7f1b34dfe89d83a8a03eb446ce4fcff2a5824bfe1", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://block.xyz/careers/jobs/5243410008?gh_jid=5243410008", "externalId" : "5243410008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI Systems, Autonomous agents, Agentic workflows, LLMs, Prompt engineering, Retrieval-augmented generation, Model optimization, Fine-tuning, Distillation, RLHF", "professionalSkills" : [ "Technical leadership", "Technical planning", "Pragmatic tradeoffs", "Technical excellence", "High-quality delivery", "Rapid experimentation", "Learning" ], "hardSkillsList" : [ "Agent orchestration", "Planning", "Tool use", "Memory", "Evaluation", "Multi-agent coordination", "Model selection", "Context retrieval", "Model optimization", "Prompt engineering", "Retrieval-augmented generation", "Fine-tuning", "Distillation", "RLHF" ], "softSkillsList" : [ "Mentorship", "Communication" ], "hardSkills" : [ { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Memory", "level" : "intermediate" }, { "name" : "Evaluation", "level" : "intermediate" }, { "name" : "Multi-agent coordination", "level" : "intermediate" }, { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Context retrieval", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Distillation", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" }, { "name" : "Communication" } ], "majorSkills" : "AI Systems, Autonomous agents, Agentic workflows, LLMs", "majorSkillsList" : [ "AI Systems", "Autonomous agents", "Agentic workflows", "LLMs" ], "coreResponsibilities" : "Ship autonomous agents, Architect autonomous agents, Build autonomous agents, Own end-to-end delivery, Design agent orchestration systems, Integrate LLMs into agent architectures, Optimize LLMs into agent architectures, Drive model optimization work, Lead technical planning, Break down objectives, Provide technical mentorship, Guide engineers, Elevate team capabilities, Partner with stakeholders, Translate business objectives, Evaluate emerging AI capabilities, Make pragmatic tradeoffs, Foster technical excellence, Foster high-quality delivery, Foster rapid experimentation, Foster learning", "teamCollaboration" : "Technical stakeholders; Non-technical stakeholders; Engineering teams; Product teams; Design teams", "projectManagementSkills" : [ "Technical planning", "Sequenced tasks", "Clear ownership", "Execution paths" ], "domainKnowledge" : "Autonomous agents; Agentic systems; LLM integration; Economic empowerment", "domainList" : [ "autonomous-agents", "agentic-systems", "llm-integration", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Autonomous agents", "Agentic systems", "LLM integration", "Economic empowerment" ], "communicationSkills" : "Build alignment", "innovationCreativity" : "Rapid experimentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Debugging; Analytical skills", "outcomesObjectives" : "Deliver business value; Ensure reliability; Ensure safety; Ensure performance at scale; Create agent-powered products", "qualificationsBasic" : "15+ years software engineering, 15+ years machine learning, Recent production autonomous agents experience, Deep production agent experience, Production software engineering fundamentals, Production-quality code writing, Sound architectural decisions, Technical leadership experience, Shaped technical direction, Driven execution, Elevated others, Product-minded engineering approach, User outcome thinking, Navigating extreme ambiguity", "qualificationsPreferred" : "Experience at leading AI organizations, Translating research into production agents, Scaling agentic products at startups, Model fine-tuning experience, Model distillation experience, RLHF experience, Agent evaluation challenges, Agent safety challenges, Agent alignment challenges", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role Block is building toward one of the most ambitious technical visions in our history: an AGI-enabled entity that fundamentally transforms how we deliver economic empowerment. We're assembling a world-class team of AI experts to design and ship autonomous agents and agentic workflows that operate across Square, Cash App, and the broader Block ecosystem. This work is about creating solutions—you'll be building AI that acts, decides, and completes real tasks for real users from across all of Block's business functions. As a Principal Engineer, you'll join as a senior individual contributor with significant technical leadership responsibilities. You Will Ship, architect, build, and own end-to-end delivery of autonomous agents and agentic workflows that deliver real business value for Block, ensuring reliability, safety, and performance at scale Design agent orchestration systems including planning, tool use, memory, evaluation, and multi-agent coordination at production scale Integrate and optimize frontier LLMs into agent architectures, making decisions on model selection, fine-tuning, prompt engineering, and context retrieval strategies Drive deeper model optimization work (fine-tuning, distillation, RLHF) where it unlocks agent capability or efficiency Lead detailed technical planning by breaking down ambitious objectives into concrete, sequenced tasks with clear ownership and execution paths Provide technical mentorship and guidance to engineers across experience levels, elevating team capabilities through code review, pairing, and knowledge sharing Partner closely with technical and non-technical stakeholders to translate business objectives into agent-powered product experiences Keep Block at the frontier by continuously evaluating emerging AI capabilities and making pragmatic tradeoffs across model performance, latency, cost, and user experience Foster a culture of technical excellence, high-quality delivery, rapid experimentation, and learning within your team and beyond You Have 15+ years of experience in software engineering or machine learning, with recent professional experience building autonomous agents or agentic workflows in production Deep experience building autonomous agents or agentic workflows in production environments—not just prototypes or demos Fluency in the core primitives of agentic systems: context management, planning, tool use, memory, evaluation, and multi-step reasoning Experience bringing frontier LLM capabilities into production products, with hands-on experience in prompt engineering, retrieval-augmented generation, and model optimization A track record of taking AI-powered products from zero to scale in fast-paced, product-driven environments, with the judgment that comes from operating in production Strong software engineering fundamentals with the ability to write production-quality code and make sound architectural decisions Experience providing technical leadership within teams—you've shaped technical direction, driven execution, and elevated others Product-minded engineering approach—you think in terms of user outcomes, not just model metrics Excellent collaboration and communication skills, with ability to build alignment across engineering, product, and design Comfort navigating extreme ambiguity in a domain that's evolving weekly Alignment with Block's mission of economic empowerment and using technology to create access and opportunity Bonus Points For Experience at leading AI organizations with a track record of translating research into production agent systems Background building or scaling agentic products at startups (including early-stage or pivoting companies) Experience with model fine-tuning, distillation, or RLHF to improve agent performance Familiarity with agent evaluation, safety, and alignment challenges in production contexts We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. While there is no specific deadline to apply for this role, U. S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U. S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $319,000—$478,600 USD Zone B: $319,000—$478,600 USD Zone C: $319,000—$478,600 USD Zone D: $319,000—$478,600 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Privacy Policy", "summaryDescription" : "Principal Engineer, AI Systems at Block. Skills: AI Systems, Autonomous agents, Agentic workflows, LLMs. Ship autonomous agents. Architect autonomous agents", "postedDate" : "2026-06-11T18:12:23.954", "createdAt" : "2026-06-11T18:12:23.954", "lastUpdated" : "2026-06-13T19:33:12.947", "ingestTimestamp" : "2026-06-11T18:12:23.954", "mongoId" : "6a2a534d74d8ee00a05fd9cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 650000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Agent orchestration", "Planning", "Tool use", "Memory", "Evaluation", "Multi-agent coordination", "Model selection", "Context retrieval", "Model optimization", "Prompt engineering", "Retrieval-augmented generation", "Fine-tuning", "Distillation", "RLHF", "Mentorship", "Communication", "AI Systems", "Autonomous agents", "Agentic workflows", "LLMs", "Technical leadership", "Technical planning", "Pragmatic tradeoffs", "Technical excellence", "High-quality delivery", "Rapid experimentation", "Learning", "Sequenced tasks", "Clear ownership", "Execution paths", "Agentic systems", "LLM integration", "Economic empowerment" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "10409-engineering---aida", "dataQualityScore" : 0.8888889, "_score" : 630.4884, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2cb20f74d8ee00a09dfa58", "title" : "Senior AI Systems Architect", "industry" : "IT", "salary" : { "min" : 300000.0, "max" : 500000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Systems Architect in Brazil, adjusted for seniority and full-time employment." }, "location" : "Brazil", "locations" : [ "Brazil" ], "timestamp" : "2026-06-16T00:41:57.125", "fingerprint" : "da3b9ddce9c01be301bde1659c0f6d76736ae7894f2a24f02ee1c98f45054ea9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/454a024d-de9f-4cbd-bede-0f7130036283/apply", "externalId" : "454a024d-de9f-4cbd-bede-0f7130036283", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "remote" } ], "locationText" : "Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LLM, RAG", "professionalSkills" : [ "System design", "Platform engineering", "Software architecture" ], "hardSkillsList" : [ "Prompt engineering", "Context management", "Token optimization", "Agentic workflows", "Autonomous execution", "Workflow design", "System analysis", "Scalable design" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Context management", "level" : "intermediate" }, { "name" : "Token optimization", "level" : "intermediate" }, { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "Autonomous execution", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "System analysis", "level" : "intermediate" }, { "name" : "Scalable design", "level" : "intermediate" } ], "majorSkills" : "AI Systems Architecture, Agent-based systems, LLM performance, AI agents", "majorSkillsList" : [ "AI Systems Architecture", "Agent-based systems", "LLM performance", "AI agents" ], "coreResponsibilities" : "Design AI-driven workflows, Orchestrate AI-driven workflows, Architect agent-based systems, Promote AI-first approach, Build AI agents, Evolve AI agents, Define context management strategies, Define prompt engineering strategies, Define token optimization strategies, Structure knowledge bases, Maintain knowledge bases, Structure architectural decision records, Maintain architectural decision records, Structure technical documentation, Maintain technical documentation, Develop evaluation frameworks, Monitor agent quality, Monitor agent accuracy, Monitor agent behavior, Drive continuous improvement, Reduce hallucinations, Ensure compliance with standards, Ensure compliance with security policies, Ensure compliance with architectural governance, Act as technical reference, Guide AI platform evolution, Guide multi-agent ecosystem evolution", "domainKnowledge" : "Distributed systems; APIs; Microservices; AI engineering; LLM interactions; Observability; System behavior analysis; Scalable system design; Telecom systems; Billing systems; Payments systems; AI platform engineering; Harness engineering; AI-driven SDLC", "domainList" : [ "distributed-systems", "apis", "microservices", "ai-engineering", "llm-interactions", "observability", "system-behavior-analysis", "scalable-system-design", "telecom-systems", "billing-systems", "payments-systems", "ai-platform-engineering", "harness-engineering", "ai-driven-sdlc" ], "domainSpecificKnowledge" : [ "Distributed systems", "APIs", "Microservices", "AI engineering", "LLM interactions", "Observability", "System behavior analysis", "Scalable system design", "Telecom systems", "Billing systems", "Payments systems", "AI platform engineering", "Harness engineering", "AI-driven SDLC" ], "toolProficiency" : [ "Datadog" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Architectural decision records; Technical documentation", "continuousLearning" : "Technical courses; Certifications", "problemSolvingSkills" : "Analytical thinking; Problem-solving ability", "outcomesObjectives" : "Reduce hallucinations", "qualificationsBasic" : "Software Architecture background, Platform Engineering background, Senior Software Engineering background, Enterprise-scale systems experience, Designing distributed systems, Designing APIs, Designing microservices architectures, Agentic AI workflows experience, AI engineering experience, Applying LLMs in SDLC, Prompt engineering expertise, Context management expertise, LLM interactions optimization expertise, Translate business logic to workflows, Translate technical knowledge to workflows, Translate business logic to agent heuristics, Translate technical knowledge to agent heuristics, Observability understanding, Monitoring understanding, System behavior analysis understanding, Scalable system design experience, Reliability considerations experience, Performance considerations experience, Analytical thinking, Problem-solving ability, Strategic architectural vision, Advanced English proficiency", "qualificationsPreferred" : "Python development experience, RAG architectures knowledge, MCP exposure, Tool-augmented AI systems exposure, Multi-agent systems experience, Autonomous workflow design experience, Fine-tuning concepts familiarity, Model evaluation concepts familiarity, Datadog experience, Telecom systems background, Billing systems background, Payments systems background, AI platform engineering exposure, Harness engineering exposure, AI-driven SDLC frameworks exposure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and orchestrate end-to-end AI-driven workflows across the software development lifecycle, from requirements definition to deployment, operations, and continuous improvement. Architect agent-based systems that enable autonomous execution of engineering tasks, promoting an AI-first approach to software delivery. Build and evolve specialized AI agents for development, QA, DevOps, product management, and operational support functions. Define strategies for context management, prompt engineering, and token optimization to ensure efficient and reliable LLM performance. Structure and maintain knowledge bases, architectural decision records (ADRs), and technical documentation to ensure consistency and reuse across AI systems. Develop evaluation frameworks (Evals) to monitor agent quality, accuracy, and behavior, driving continuous improvement and reducing hallucinations. Ensure compliance with internal standards, security policies, and architectural governance across all AI-driven systems. Act as a technical reference for the evolution of AI platforms and multi-agent ecosystems applied to software engineering. Requirements: Strong background in Software Architecture, Platform Engineering, or Senior Software Engineering roles with enterprise-scale systems experience. Proven experience designing distributed systems, APIs, and microservices-based architectures. Hands-on experience with Agentic AI workflows, AI engineering, or applying LLMs within the software development lifecycle. Strong expertise in prompt engineering, context management, and optimization of LLM interactions. Ability to translate business logic and technical knowledge into structured workflows and agent-based heuristics. Solid understanding of observability, monitoring, and system behavior analysis in production environments. Experience with scalable system design and engineering best practices, including reliability and performance considerations. Strong analytical thinking, problem-solving ability, and strategic architectural vision. Advanced English proficiency for technical communication and documentation. Differentials: Experience with Python development. Knowledge of RAG (Retrieval-Augmented Generation) architectures. Exposure to MCP (Model Context Protocol) and tool-augmented AI systems. Experience with multi-agent systems and autonomous workflow design. Familiarity with ML concepts such as fine-tuning and model evaluation. Experience with observability tools such as Datadog. Background in telecom, billing, or payments systems. Exposure to AI platform engineering, Harness engineering, or AI-driven SDLC frameworks. Benefits: Health and dental insurance coverage Meal and food allowance Childcare assistance program Extended parental leave Wellness programs and gym partnerships (Wellhub / TotalPass) Profit sharing (PLR) Life insurance coverage Continuous learning platform with technical courses and certifications Discounts and employee perks platform Mental, physical, and well-being support resources Parenting and gestation support programs Language learning and online education platforms. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior AI Systems Architect. Skills: AI Systems Architecture, Agent-based systems, LLM performance, AI agents. Design AI-driven workflows. Orchestrate AI-driven workflows", "postedDate" : "2026-06-11T10:56:44.958", "createdAt" : "2026-06-11T10:56:44.958", "lastUpdated" : "2026-06-16T00:41:57.125", "ingestTimestamp" : "2026-06-14T22:13:34.737", "mongoId" : "6a2cb20f74d8ee00a09dfa58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Prompt engineering", "Context management", "Token optimization", "Agentic workflows", "Autonomous execution", "Workflow design", "System analysis", "Scalable design", "AI Systems Architecture", "Agent-based systems", "LLM performance", "AI agents", "System design", "Platform engineering", "Software architecture", "Distributed systems", "APIs", "Microservices", "AI engineering", "LLM interactions", "Observability", "System behavior analysis", "Scalable system design", "Telecom systems", "Billing systems", "Payments systems", "AI platform engineering", "Harness engineering", "AI-driven SDLC", "Datadog" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 622.97064, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b035274d8ee00a074f1d6", "title" : "STARBASE Instructor", "company" : "Department of Public Safety", "industry" : "Government", "salary" : { "min" : 41206.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Mecklenburg County, NC", "locations" : [ "Mecklenburg County, NC", "United States of America" ], "timestamp" : "2026-06-14T22:38:43.018", "fingerprint" : "41795d9facdbe9eb3642cee7c574a5be33ef38bfddd25e7bb63428da445fbe72", "source" : "workday", "language" : "en", "applyUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Mecklenburg-County-NC/STARBASE-Instructor_JR-112797", "externalId" : "JR-112797", "industryFunction" : { }, "locationPoint" : "53.84301,11.46321", "structuredLocations" : [ { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 4, "professionalSkills" : [ "Consultative services", "Technical assistance", "Program implementation", "Internal communications", "Social media work" ], "hardSkillsList" : [ "Instructional methods", "Presentation materials" ], "hardSkills" : [ { "name" : "Instructional methods", "level" : "intermediate" }, { "name" : "Presentation materials", "level" : "intermediate" } ], "majorSkills" : "STARBASE program, STARBASE 2.0", "majorSkillsList" : [ "STARBASE program", "STARBASE 2.0" ], "coreResponsibilities" : "Perform consultative services, Perform technical assistance, Plan STARBASE programs, Develop STARBASE programs, Implement STARBASE programs, Plan STARBASE 2.0 programs, Develop STARBASE 2.0 programs, Implement STARBASE 2.0 programs, Provide consultative services to program staff, Provide technical assistance to program staff, Provide consultative services to governmental agencies, Provide technical assistance to governmental agencies, Provide consultative services to community organizations, Provide technical assistance to community organizations, Provide consultative services to the public, Provide technical assistance to the public, Perform internal communications, Perform external communications, Perform social media work, Prepare program documents, Receive visitors, Receive telephone calls, Prepare program correspondence, Assist with presentation materials, Provide guidance to others", "domainKnowledge" : "Public safety; STARBASE program; STARBASE 2.0", "domainList" : [ "public-safety", "starbase-program", "starbase-2-0" ], "domainSpecificKnowledge" : [ "Public safety", "STARBASE program", "STARBASE 2.0" ], "communicationSkills" : "Internal communications; External communications; Social media work; Presentation materials", "documentationSkills" : "Prepare documents; Prepare correspondence", "qualificationsBasic" : "High school diploma or GED, Four years of related administrative experience", "qualificationsPreferred" : "Experience with public education programs, Experience with basic instructional methods, Bachelor's degree in education, Experience teaching STEM fields", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Agency** Safety **Division** 70000075 Dept of Public Safety **Job Classification Title** Administrative Specialist II (NS) **Position Number** 65037688 **Grade** NC09 **About Us** The Department of Public Safety's mission is to safeguard and preserve the lives and property of the people of North Carolina through preparation, prevention, and protection with integrity and honor. Our agency houses many public safety divisions, including Emergency Management, Juvenile Justice and Delinquency Prevention, Alcohol Law Enforcement, Samarcand Training Academy, and the North Carolina National Guard. Join us along with our more than 3,000 employees and 12,000 National Guard members in providing exceptional public safety services to the citizens of North Carolina. **Description of Work** Unleash your potential and make an impact! Primary purpose for this position is to perform complex consultative services and technical assistance work. Work involves planning, developing, and implementing the STARBASE and STARBASE 2.0 (After-school) programs and providing consultative services and technical assistance to program staff, governmental agencies, community organizations, and the public. Performs internal/external communications and social media work for the STARBASE Programs and Director including preparing documents, receiving visitors and telephone calls, preparing correspondence, and assisting with a variety of presentation materials. May provide guidance to others. This is a full-time position (40 hours per week) with State Benefits, including paid vacation, paid sick leave, paid holidays, retirement, and health insurance. To view an example of total compensation, please click here NC OSHR: Total Compensation Calculator. Starbase Location: Charlotte This is a REPOST. Previous applicants are still under consideration and do not need to reapply. **Knowledge Skills and Abilities/Management Preferences** **Recruitment Range: $41,206.00 - $50,000.00** **DPS uses the Merit-Based Recruitment and Selection Plan to fill positions subject to the**[**State Human Resources Act**](https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Foshr.nc.gov%2Fpolicies%2Fstate-human-resources-act-gs-126&data=05%7C02%7CLaura.Holloway%40ncdps.gov%7C6c618711ce3948afab8308dddf8233d6%7C7a7681dcb9d0449a85c3ecc26cd7ed19%7C0%7C0%7C638912472478158895%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=ilpHhDQ%2FvSZ4TH90NFIUuiOaU5zMCbHeOIa1CgDlSpU%3D&reserved=0)**with the most qualified individuals.** **The Minimum Education and Experience (E &E) is REQUIRED to qualify for this position. Management Preferences, including Knowledge, Skills, and Abilities (KSAs), are not required but may be used to determine the pool of most qualified applicants. Managers may also choose to interview/select applicants who demonstrate Management Preferences. ** **All work history and education (including accurate dates of employment/attendance) must be documented on the application. Work experience may include internships, volunteerism, and full and part-time work. A complete, all-inclusive application maximizes an applicant’s potential to qualify for the position, as well as receive the highest possible salary if selected for the position. Salary will be based on relevant qualifications, internal equity, and budgetary considerations for the advertised position.**[**Click here for more information and application resources**](https://www.ncdps.gov/careers-matter)**.** **Resumes may be attached as a supplement to the application but are _not_ a substitute for a complete application. ** _Management Preferences_ * Experience with public education, programs, rules, or regulations * Experience with basic instructional methods and techniques * Have a bachelor's degree in education * Experience teaching STEM (science, technology, engineering, and math) or related fields _Supplemental and Contact Information_ The North Carolina Department of Public Safety (DPS) is an Equal Opportunity Employer who embraces an Employment First philosophy which consists of complying with all federal laws, state laws and Executive Orders. Consistent with the Americans with Disabilities Act (ADA), we are committed to full inclusion of qualified applicants and will review requests for reasonable accommodation to perform essential job functions during the hiring process or while on the job. _Public Service Loan Forgiveness Program_ For applicants with student loans, becoming a state employee may include eligibility for [the Public Service Loan Forgiveness Program](https://studentaid.gov/pslf/). Visit [www.studentaid.gov](https://www.studentaid.gov/) to learn more. _Transcripts_ * Attaching transcripts is optional; however, we recommend applicants attach unofficial transcripts to assist in providing credit for education including in substituting education gained for experience. Additionally, qualifying for some positions may require validating hours of coursework in a specific field of study and transcripts are crucial to awarding credit. Degrees and transcripts must be achieved from an appropriately accredited college or university. * Applicants who earned college credit hours but did not complete a degree program must attach an unofficial transcript to receive credit for education. * International degrees and transcripts must be evaluated for accreditation by a recognized evaluation service by the closing date of this posting. Failure to provide documentation may result in ineligibility. The National Association of Credential Evaluation Services (NACES) has several options to provide credential verification: . _Military Experience_ * Applicants seeking Veteran's Preference must attach a DD-214 Form (Certificate of Release or Discharge from Active Duty that includes Character of Discharge - Member 4 or Service 2 form) to the application. * Applicants seeking National Guard Preference: * A current member of the North Carolina National Guard in good standing must attach a NGB 23A (RPAS). * A former member of the North Carolina National Guard who served for at least 6 years and was discharged under honorable conditions must attach either a DD256 or NGB 22. The NC Dept. of Public Safety must adhere to the US Dept. of Justice Final Rule on the \"National Standards to Prevent, Detect, and Respond to Prison Rape.\" [PREA Hiring and Promotion Prohibitions](https://www.ncdps.gov/dps-services/prison-rape-elimination-act) Selected applicants for positions which are subject to PREA will undergo a PREA-specific background check. Our agency supports second-chance employment for individuals who were previously incarcerated, or justice involved, and we invite all potential applicants to apply for positions for which they may be qualified. Due to the nature of work performed in our agency, prior convictions and/or charges may prohibit employment for positions which are subject to PREA or other position-specific background checks. Due to the volume of applications received, we are unable to provide information regarding the status of your application. Please log in to your Workday account to check the status of your application. If you are selected for an interview, you will be contacted by the hiring manager. If you are no longer under consideration, you will receive an email notification when the position is filled. For more information about the application process, please visit [State Application Resources/Frequently Asked Questions](https://oshr.nc.gov/work-nc/state-government-application-resources). For technical issues related to your Workday applications, please place a [support ticket](https://app.smartsheet.com/b/form/6fbf21b061ca4d479a09ce63f80057c8). For basic information regarding employment with North Carolina State Government, please call (984) 236-0800. If there are any questions about this specific vacancy other than your application status, please contact Lovely Evans at [lovely.evans@ncdps.gov](mailto:lovely.evans@ncdps.gov). #NG (National Guard) **Minimum Education and Experience** Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. High school diploma or General Educational Development (GED) diploma and four years of related administrative experience; or equivalent combination of education and experience. **EEO Statement** The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. **Recruiter:** Lovely Dell Evans **Recruiter Email:** LOVELY.EVANS@NCDPS.GOV # **Watch This Video for Tips on Applying in Workday:**", "summaryDescription" : "STARBASE Instructor at Department of Public Safety. Skills: STARBASE program, STARBASE 2.0. Perform consultative services. 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Cardio; Boxing; Kickboxing; Barre; Cycle; Dance; Yoga; Healthy aging", "domainList" : [ "strength-training", "cardio", "boxing", "kickboxing", "barre", "cycle", "dance", "yoga", "healthy-aging" ], "domainSpecificKnowledge" : [ "Strength training", "Cardio", "Boxing", "Kickboxing", "Barre", "Cycle", "Dance", "Yoga", "Healthy aging" ], "specialRequirements" : "Ability to perform an aerobic activity for duration of a class, Ability to routinely lift 50 pounds, Ability to occasionally lift 100 pounds, Ability to perform exercises specific to the assigned class", "outcomesObjectives" : "Meeting daily class attendance goals", "qualificationsBasic" : "1 or more years of fitness instructor work experience, CPR/AED Certification, National Association of Sports Medicine (NASM) Group Exercise Certification, American Council of Exercise (ACE) Group Exercise Certification, American Fitness Aerobic Association (AFAA) Group Exercise Certification, Aquatic Exercise Association (AEA) Group Exercise Certification, Ability to perform an aerobic activity for duration of a class, Ability to routinely lift 50 pounds, Ability to occasionally lift 100 pounds, Ability to perform exercises specific to the assigned class", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**_Position Summary_** The Group Fitness Instructor provides cutting-edge group fitness instruction through a variety of entertaining, educational, and fun classes promoting fitness and positive self-esteem in a safe environment. They act as a fitness resource for class participants and maintain positive relationships with members to encourage continued class attendance. The Group Fitness Instructor is responsible for consistently meeting daily class attendance goals as well as effectively promoting Life Time programs, products, and services. As a Group Fitness Instructor at Life Time, you have the opportunity to instruct a variety of group fitness formats. **STRENGTH:** **LIFT:_Build Strength: Build Muscle_** _Strength training classes that bring muscles and music together period music has the power to take athletic activities to a completely new level period music motivates our members to lift more, lift longer, and develop a life-long love and joy in lifting._ **SHRED:_Strength Circuits for Lean Muscles_** _This is the no excuses, full body strength and endurance workout. Workouts are fun, simple, timed, and consistent so that members can move at the pace they need to get the results they want. To keep the workout short and efficient, we squeeze as much as possible in our short time together, with every major muscle group worked and cardio drills crushed._ **MAXOUT: Maximize your muscles. Minimize your limits.** _Life Time’s strength and conditioning brand that combines the use of heavier weights, super sets, and a community building, high energy max out challenge. This class is designed to push athletes to muscle MAXOUT and reach the point of muscle burnout so they can increase their strength capacity, fire up their metabolism, and build confidence in their weight lifting abilities._ **CARDIO:** **XTREME: Conditioning Challenges to HIIT your Goals.** _Life Time’s ultimate conditioning brand where every class delivers a heart pumping, High Intensity Interval Training or ‘HIIT’ workout. Xtreme is perfect for members looking for a challenge that will continue to raise their personal best._ **REMIXX: Feel Good, Heart Pumping Cardio.** _Breaking the mold on high energy cardio fitness REMIXX is the celebration of all things that get your heart pumping. Whether a cardio junkie or looking for a fresh challenge, REMIXX classes offer an electrifying workout experience. From the moment our members walk into the studio, it feels like they have entered a nightclub. Time flies by as they step, jump, and groove to the hottest remixes of new jams and throwback favorites._ **BOXING/KICKBOXING:** **STRIKE: Strike with Precision, Box with Passion.** _A cardio class with more grit and attitude to get members moving and dominate their workout. These classes teach our members to jab, cross, hook, and uppercut their calories AND problems away._ **BARRE:** **LIFE BARRE: Strength & Grace Align.** _LIFE BARRE classes are rooted deeply in ballet with movements that stem from traditional ballet form. The high reps of precise isometric movements on and off the bar engage muscles in a way that our other strength classes can 't. Our LIFE BARRE classes will help our members to stand taller and activate their full range of motion._ **CYCLE:** **AMP: Ride to the Rhythm, Sweat to the Beat.** _AMP blurs the lines between exercise and entertainment, creating an immersive experience where the beat sets the pace of the pedals and energy in the room fuels choreographed movement._ **EDG: Find your EDG with Music and Metrics** _EDG is where rhythm meets results for the ultimate fusion of music, metrics, and technology. Intentional sets of work are synced to a heart pounding soundtrack, challenging your speed, strength, and stamina while you are coached and inspired on a journey to peak performance. Riders can expect exhilarating classes that help them unleash their inner athlete and push them to their EDG._ **PWR: Athletic endurance on the bike.** _Through the intentional application of specificity, progression, and individualization you can unlock your personal potential on the bike while enjoying the camaraderie of like-minded athletes._ **DANZE: Move unapologetically to the beat.** _Dance knows no boundaries and neither do we. Our dance classes celebrate diversity in all its forms. From Hip Hop to Latin Fusion to musical theater and everything in between. With multiple classes that make up the DANZE brand members and instructors get to choose the groove that moves them the most._ **YOGA: Learn to Control the Reactions of the Mind.** **SURRENDER YIN** _A slow, meditative, yin-yoga practice to create greater mobility in your joints while you mindfully stress your body 's connective tissues and challenge the calmness of your mind. You will be guided through a sequence of yin poses as you concentrate on your breath._ **ROOT HATHA** _Learn to master the reactions of your mind by focusing on radical self-acceptance and utilizing the union of opposites. This Hatha yoga experience will help you feel more grounded and inspire acute muscle engagement to create greater stability in the joints of your body. With a heavy focus on your body and a slow, complete breath you will learn to mindfully engage your muscles to support your body with integrity._ **FLOW VINYASA** _This breath centered Vinyasa Flow class takes you through a series of yoga poses and opportunities to celebrate yourself through the empowerment and freedom of movement. Sequences are designed to get you moving, then set you free. This energizing class promotes physical strength, mobility, and mental clarity, drawing on your breath as your inner source of focus._ **ARORA: ACCOUNTABILITY. COMMUNITY. ALL SORTS OF POSSIBILITY.** _These comprehensively programmed classes provide a variety of options to support healthy aging, new beginnings and reigniting an active lifestyle – from AQUA to DANZE, GENTLE YOGA to TOTAL BODY. ARORA’s promise is to deliver safe, effective workouts designed to help older adults establish the fundamental actions to living a healthier, happier life, in a fun and social environment._ **SGT:** **GTX: Cardio. Strength. Results.** _The ultimate 50/50 cardio & strength guided training experience. With heart-rate based interval training, resistance coaching, and a comprehensive weekly plan, you’ll always have the right formula of _**ULTRA FIT: Achieve Extraordinary.** _Get faster, stronger and mentally sharper. Ultra Fit alternates between short bursts of_ _maximum effort sprinting on the treadmill and strength and balance-based movements_ _on the floor. Every week builds upon itself so that you can build confidence to achieve_ _your maximum_ _sprint potential. Expect to sweat, burn calories, and achieve all the_ _metabolic benefits as you compete against yourself._ **ALPHA: Competitive Grit.** _Full-body strength and conditioning programs that empower individuals to reach their_ _peak physiological and psychological potential through community, resilience, and_ _discipline – this includes challenging movements performed at relative intensities_ _alongside the guidance of a coach. Workouts are built to challenge one 's self-imposed limits through progressive strength and conditioning, alongside a group of athletes driven to do the same._ **_Job Duties and Responsibilities_** * Develops positive relationships with class participants by teaching a variety of challenging and entertaining classes. * Educates class participants on correct form and alternative moves during the fitness routine. * Attentively listens to members, answer questions, and engage in conversation before and after classes. * Cleans and organizes studio space after each class. * Provides current music for each class that entertains and motivates while ensuring appropriate language. * Promotes Life Time promotions, programs, products, and services while specifically encouraging participation for the Classes at Life Time ** _Position Requirements_** * High School Diploma or GED * 1 or more years of fitness instructor work experience * CPR/AED Certification * Minimum of one of the following Group Exercise Certifications: National Association of Sports Medicine (NASM), American Council of Exercise (ACE), American Fitness Aerobic Association (AFAA), Aquatic Exercise Association (AEA) * Ability to perform an aerobic activity for duration of a class, which may include, but not limited to, standing, walking, climbing, balancing, running, crawling, and kneeling. * Ability to routinely lift 50 pounds and occasionally 100 pounds. * Ability to perform exercises specific to the assigned class. 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You will help both adults and children improve their swimming. You will teach life skills to our youngest members and evaluate their swimming ability to establish the correct swim level. You will help to maintain the cleanliness and order of our Aquatics Facilities. ** _Job Duties and Responsibilities_** * Instructs swimming lessons and Aquatics events * Responds to member questions, comments, and concerns * Provides a safe, clean and organized pool area * Promotes and sells all Aquatics programs and services ** _Minimum Required Qualifications_** **Education:** * Working towards a High School Diploma or GED **Years of Experience:** * Successfully complete and pass all Life Time courses upon hire * Ability to work in a stationery position and move about the club for prolonged periods of time * Ability to communicate and exchange information with guests who have inquiries about Life Time products and services * Ability to swim 25 yards/meters without stopping * Ability to routinely and repetitively bend to lift 20 lbs or less and occasionally bend to lift more than 20lbs **Licenses / Certifications / Registrations:** * StarGuard Elite Lifeguard, BLS CPR, and First Aid Certified (or bridge to StarGuard when current certification expires or within 1st year, whichever is first). For Canada, Lifesaving Society Lifeguard certification and Standard FA with CPR C. **Preferred Qualifications:** * Swim lesson instruction or coaching experience Life Time is a place for everyone. As an organization, we are committed to an inclusive, diverse and equitable workplace that respects and celebrates the unique contributions of each individual while ensuring we remain an equal opportunity employer that recruits, hires, trains and promotes based on merit and qualifications.", "summaryDescription" : "Swim Instructor at Life Time. Skills: Swimming instruction, Aquatics programs. Instruct swimming lessons. 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As one of the nation’s leading treatment providers for eating disorders and mood, anxiety, and trauma-related conditions, we bring innovative, evidence-based, and deeply compassionate care to patients across the country. With multiple locations nationwide and extensive virtual programming, we meet patients exactly where they are and help them move toward lasting recovery. Founded in 2008 by renowned psychiatrists and psychologists, ERC Pathlight now supports more than 6,000 patients each year. And as the need for world-class mental health care continues to rise, our commitment is stronger than ever: to expand access, elevate the standard of care, and empower every patient to rebuild their life with dignity and hope. Why Join Us When you join ERC Pathlight, you become part of a team that shows up every day to make a real difference. You’ll work alongside passionate clinicians, dedicated support staff, and mission-driven leaders who believe in collaboration, growth, and doing the right thing—always. Here, your work matters. Your ideas matter. You matter. If you’re energized by purpose, motivated by impact, and ready to help transform the future of mental health treatment, you belong here. Come build hope. Come save lives. Come grow with us. Schedule: Monday and Friday - 4, 1-hour groups 9:30a-10:30a, 10:45a-11:45a, 12:00pm-1:00pm, 1:00pm-2pm This is a 1099 Contract position. What you’ll be doing: The Yoga Instructor facilitates yoga groups during scheduled programming times in accordance with patients' physical, social, and emotional needs. Essential duties and responsibilities: Plans and facilitates yoga group lessons to support patients in a mental healthcare setting Teaches yoga aligned with Health At Every Size (HAES) principles Interacts with patients in a trauma-informed manner Manages patient sign in sheet for each group Reports any concerns to clinical leadership Must haves: Registered Yoga Teacher (RYT) with Yoga Alliance (required) Knowledge of trauma informed care principles (required) At least 200 hours of yoga teacher training (required) Experience teaching yoga to adolescents and adults (required) Bonus qualities: Bachelor's Degree (preferred) Experience teaching yoga in a mental healthcare setting (preferred) What We Offer At ERC Pathlight, caring for people is our mission and that begins with caring for our own team. Your well-being matters, and our benefit program is designed to support every part of your life. We offer competitive compensation; comprehensive medical, dental, and vision coverage; generous Paid Time Off; Parental Leave benefits; Retirement benefits; and tuition reimbursement to help you continue growing in your career. We also recognize that mental health is part of every person’s experience. That’s why we strive to create a workplace where you feel supported, seen, and encouraged—personally, professionally, and at home. When you thrive, you can do your best work. And your best work changes lives.", "summaryDescription" : "Contract Yoga Instructor at ERC Pathlight. 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