{ "count" : 164612, "data" : [ { "id" : "6a2c927574d8ee00a0985dc2", "title" : "Staff Engineer, AI Productivity", "company" : "Hightouch", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Engineer in the Technology industry in New York, adjusted for seniority and company size." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T05:10:47.727", "fingerprint" : "b045e963c70bdff7b328000bc68b4fe1108d0b62fe854c1a8e338bf38e4d8291", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hightouch/jobs/6020404004", "externalId" : "6020404004", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TypeScript, JavaScript, Go, GraphQL, CI/CD, Cloud infrastructure, Internal tooling, Application code", "professionalSkills" : [ "System design", "Developer tools", "Infrastructure" ], "hardSkillsList" : [ "Agent documentation", "Custom instructions", "Context files" ], "hardSkills" : [ { "name" : "Agent documentation", "level" : "intermediate" }, { "name" : "Custom instructions", "level" : "intermediate" }, { "name" : "Context files", "level" : "intermediate" } ], "majorSkills" : "AI Productivity, Developer Experience, Agentic Development", "majorSkillsList" : [ "AI Productivity", "Developer Experience", "Agentic Development" ], "coreResponsibilities" : "Own agentic development environment, Build tooling integrations, Connect agents to systems, Create documentation and context, Expose conventions and package structures, Enable engineers with better docs, Develop tooling for non-engineers, Make visual updates to application, Serve as PM for AI agents, Keep abreast of AI trends, Drive improvements across Hightouch", "teamCollaboration" : "Cross-team efforts; Work with teams", "domainKnowledge" : "AI coding tools; Agent development; Cloud development environments; Internal systems; Software development; AI productivity trends; State-of-the-art AI", "domainList" : [ "ai-coding-tools", "agent-development", "cloud-development-environments", "internal-systems", "software-development", "ai-productivity-trends", "state-of-the-art-ai" ], "domainSpecificKnowledge" : [ "AI coding tools", "Agent development", "Cloud development environments", "Internal systems", "Software development", "AI productivity trends", "State-of-the-art AI" ], "toolProficiency" : [ "CircleCI", "Slack", "Datadog", "Github", "Claude Code", "Cursor", "Copilot", "Devin" ], "documentationSkills" : "Agent guidance; Agent skills", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Deep hands-on experience with AI coding agents, Experience writing effective agent documentation, Track record of building developer tools, Comfortable working across the stack", "qualificationsPreferred" : "Experience building MCP servers, Background in developer productivity, Experience with TypeScript/JavaScript monorepos, Experience with Go, Experience with GraphQL, Set up sandboxed development environments at scale, Containerized development environments at scale", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase. AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software. You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats. Some of the problems we’ll be working on include: Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment. Must have Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar) Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output Track record of building developer tools or infrastructure that other engineers actually use Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code Nice to have Experience building or contributing to MCP servers or similar agent-tooling integrations Background in developer productivity, platform engineering, or developer experience roles Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL You've set up sandboxed or containerized development environments at scale Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job. Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen [45m]: Designing a data processing feature end-to-end AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U. S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only — we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)", "summaryDescription" : "Staff Engineer, AI Productivity at Hightouch. Skills: AI Productivity, Developer Experience, Agentic Development. Own agentic development environment. 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integrations, Research technology decisions, Evaluate technology decisions, Recommend technology decisions, Own the AI roadmap, Prioritize initiatives, Manage project schedules, Manage scope, Manage work estimates, Manage dependencies, Manage risks, Manage resources, Manage delivery expectations, Set team objectives, Establish performance expectations, Utilize metrics, Utilize data analytics, Conduct performance management, Drive accountability, Drive execution, Mentor team members, Develop team members, Conduct coaching, Provide regular feedback, Conduct code reviews, Facilitate knowledge sharing, Support career development, Hire team members, Partner with Product Owners, Partner with cross-functional business stakeholders, Define business requirements, Align technical work with business goals, Translate customer needs into delivery plans, Translate internal needs into delivery plans, Support responsible AI governance, Consider privacy requirements, Consider security requirements, Consider quality requirements, Consider risk requirements, Consider compliance requirements", "teamCollaboration" : "Cross-functional business stakeholders; Product Owners", "projectManagementSkills" : [ "Roadmaps", "Prioritize initiatives", "Project schedules", "Scope", "Work estimates", "Dependencies", "Risks", "Resources", "Delivery expectations", "Agile delivery principles" ], "domainKnowledge" : "AI-powered experiences; AI-native development; Applied AI development; AI-assisted software delivery; AI coding tools; LLM integrations; AI evaluation; Agentic workflows; MCPs; AI-native SDLC; Responsible AI governance; Legal solutions", "domainList" : [ "ai-powered-experiences", "ai-native-development", "applied-ai-development", "ai-assisted-software-delivery", "ai-coding-tools", "llm-integrations", "ai-evaluation", "agentic-workflows", "mcps", "ai-native-sdlc", "responsible-ai-governance", "legal-solutions" ], "domainSpecificKnowledge" : [ "AI-powered experiences", "AI-native development", "Applied AI development", "AI-assisted software delivery", "AI coding tools", "LLM integrations", "AI evaluation", "Agentic workflows", "MCPs", "AI-native SDLC", "Responsible AI governance", "Legal solutions" ], "toolProficiency" : [ "Cursor", "Claude" ], "communicationSkills" : "Communication skills", "continuousLearning" : "LinkedIn Learning subscriptions; Training budgets", "problemSolvingSkills" : "Analytical judgment", "qualificationsBasic" : "Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, 5+ years of experience in software development, 2+ years in a leadership-oriented role, Practical experience delivering AI-enabled products, Understanding of applied AI development, Familiarity with leading AI platforms and tools, Technical leadership skills, Ability to build, mentor, and lead high-performing teams, Project and delivery management skills, Ability to evaluate and select platforms, tools, and technologies, Business acumen and analytical judgment", "qualificationsPreferred" : "Familiarity with product management, Familiarity with Scrum, Familiarity with Agile delivery principles, Ability to translate data into actionable insights", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "What the Role Does: Lead the team and technology shaping LawDepot’s next generation of AI-powered experiences. As the Software Development Manager - AI Solutions, you will lead the delivery of AI-powered products and features that create exceptional experiences for millions of users, while helping LawDepot expand the use of AI internally across the organization. You will manage technical team members, guide development practices, collaborate on product strategy and roadmaps, and establish the standards required to deliver secure, scalable, reliable, and valuable AI solutions. This is a full-time, permanent position working 37.5 hours per week, with the option to work hybrid from our Edmonton, Alberta office or fully remote across Canada. What You’ll Do: - Provide technical leadership for the architecture, design, development, deployment, and ongoing improvement of secure, scalable, and reliable AI-powered software solutions - Manage Software Developers, Data Scientists, and related technical contributors to create a high-performing team and foster technical excellence - Lead the delivery of AI-enabled products and features for our customers, improving the legal solutions experience for millions of users around the world - Advocate for and guide AI adoption across LawDepot, helping internal teams improve AI literacy and use AI tools productively, securely, and responsibly. - Establish and maintain best practices for AI-Native development, including code authoring, code reviews, automated testing, CI/CD, AI evaluation frameworks, production readiness, security, and technical debt management - Research, evaluate, and recommend AI tools, development workflows, model integrations, and technology decisions that align with business goals and long term company strategy - Own the AI roadmap and prioritize initiatives to ensure work is aligned with business goals, customer needs, technical feasibility, and organizational impact - Manage project schedules, scope, work estimates, dependencies, risks, resources, and delivery expectations for AI product initiatives and related software development work to ensure initiatives are completed on time and within budget - Set team objectives, establish performance expectations, utilize metrics and data analytics, and conduct performance management to drive accountability and strong execution - Mentor and develop team members through coaching, regular feedback, code reviews, knowledge sharing, performance management, career development support, and hiring as the team evolves - Partner with Product Owners and cross-functional business stakeholders to define business requirements, align technical work with business goals, and translate customer and internal needs into delivery plans - Support responsible AI governance by considering privacy, security, quality, risk, and compliance requirements What You Bring: The Essentials - Post-secondary education in Computing Science, Software Engineering, Artificial Intelligence, Data Science, or a related field - 5+ years of experience in software development, with 2+ years in a leadership-oriented role managing people, projects, processes, or technical delivery - Practical experience delivering AI-enabled products, features, platforms, or technology projects with a focus on quality, scalability, reliability, and on-time delivery - Strong understanding of applied AI development and AI-assisted software delivery, such as AI coding tools, LLM integrations, AI evaluation, agentic workflows, MCPs, or AI-native SDLC practices - Familiarity with leading AI platforms and tools (ex. Cursor, Claude), with the ability to evaluate their fit for development workflows, product features, and business needs - Strong technical leadership skills, including the ability to guide architecture, system design, development, testing, deployment, and continuous improvement of secure and scalable software solutions - Ability to build, mentor, and lead high-performing teams - Strong communication skills, with the ability to engage effectively with team members, stakeholders, and senior leadership to align technical work with company goals - Project and delivery management skills, including the ability to own roadmaps, prioritize initiatives, manage scope, schedules, estimates, dependencies, risks, resources, and delivery expectations - Ability to evaluate and select platforms, tools, and technologies that align with business goals, budgets, customer needs, and technical feasibility - Strong business acumen and analytical judgment, with the ability to use metrics, performance data, and customer insights to guide decisions and drive accountability The Nice to Haves (Great if you have it and we’ll help you learn if you don’t) - Familiarity with product management, Scrum, Agile delivery practices, or tools such as Azure Boards - Hands-on knowledge of our existing tech stack: C#, .NET 7+, Vue, TypeScript or JavaScript, Microsoft SQL Server, REST APIs, Entity Framework Core, Git, or automated testing frameworks - Experience with organizational change management, AI adoption programs, technical transformation, or developer enablement initiatives - Ability to create reporting tools / scripts that support business teams, with an understanding of data analysis, data science principles, and how to translate data into actionable insights Why You Should Join the LawDepot Team: - Excellent total compensation package - Comprehensive health and dental benefits, plus an additional Health Care Spending Account - Great work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours) - Paid vacation, plus bonus personal days - Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets - Company share plan - Free catered lunches for the entire office - Monthly social events for team members to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities) - Work alongside talented, driven colleagues in a culture focused on quality, reliability, innovation, and growth - Personal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team) - Free and easily accessible parking - Southgate Mall, Whyte Ave, and Calgary Trail restaurants are only minutes away - Hybrid working arrangements for that balance between getting work done at home and engaging with others in the office Who We Are: Join one of the fastest growing companies in Canada! LawDepot is proud to be a seven-time Growth 500 ranked organization and a major player in the Global legal solutions industry. Our mission is to modernize the legal document creation experience by empowering people with fast, easy-to-use, and professional solutions. With over ten million satisfied customers worldwide, over two million monthly website visitors, and billions of dollars saved on legal fees, you will be joining a team that is truly making a difference. At LawDepot, we foster a collaborative and inclusive learning culture that values excellence and diversity. Apply today and become a part of our exciting journey! How to Apply: Apply for this job here or submit your application through our Careers page at https://www.lawdepot.ca/career. We thank all applicants; however, only those selected for an interview will be contacted. #LI-DNI", "summaryDescription" : "Software Development Manager - AI Solutions at LawDepot. 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"GovTech", "industry" : "Government", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineers in Singapore, adjusted for the government industry and a large company size." }, "location" : "CEP Core Engineering Products", "locations" : [ "CEP Core Engineering Products" ], "certifications" : [ "Certified Kubernetes Administrator", "CKAD" ], "timestamp" : "2026-06-15T11:23:37.602", "fingerprint" : "0b3f20cda051bec2260660dacdbf760da2a5fc2ad638aff2d1039f3e3e131b09", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4001881201?gh_jid=4001881201", "externalId" : "4001881201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Go, TypeScript, Python, React, NextJS, AWS, Kubernetes, EKS, Helm, Kustomize, Kubectl, PostgreSQL, GitLab CI/CD, ArgoCD, Prometheus, Grafana, ELK Stack, Elastic Stack", "professionalSkills" : [ "System design", "Architecture reviews", "Technical advisor" ], "hardSkillsList" : [ "IaC", "Container orchestration", "Cloud operations", "Kubernetes tooling", "Database management", "Automated testing", "GitOps", "CI/CD", "Observability systems", "SLO design", "Networking", "Security", "Storage" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Clear communicator", "Concise communicator" ], "hardSkills" : [ { "name" : "IaC", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Cloud operations", "level" : "intermediate" }, { "name" : "Kubernetes tooling", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "GitOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Observability systems", "level" : "intermediate" }, { "name" : "SLO design", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" }, { "name" : "Storage", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Clear communicator" }, { "name" : "Concise communicator" } ], "majorSkills" : "Developer Productivity Platforms, Cloud-native, Kubernetes, AWS", "majorSkillsList" : [ "Developer Productivity Platforms", "Cloud-native", "Kubernetes", "AWS" ], "coreResponsibilities" : "Build CI/CD pipelines, Implement Infrastructure-as-Code, Develop controllers/operators, Enable automated operations, Enable low-touch operations, Respond to incidents, Minimize MTTR, Lead post-incident reviews, Drive actionable follow-ups, Improve platform resilience, Embed security, Enforce policy, Perform vulnerability scanning, Meet compliance requirements, Diagnose performance bottlenecks, Resolve performance bottlenecks, Define KPIs, Measure KPIs, Improve KPIs, Act as technical advisor, Guide tenants, Maintain documentation, Maintain runbooks, Maintain playbooks, Maintain architecture diagrams, Ensure operational processes understood, Ensure onboarding processes understood, Stay current with cloud-native, Stay current with Kubernetes, Stay current with GitLab, Stay current with AWS, Propose new approaches, Propose new technologies, Propose improvements", "teamCollaboration" : "Partner with engineers; Collaborate with security teams; Work with developers; Work with seco", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Cloud-native; Kubernetes; AWS; Container orchestration; Cloud operations; Infrastructure-as-Code; CI/CD; Observability; SLO design; Networking; Security; Storage; Service mesh", "domainList" : [ "cloud-native", "kubernetes", "aws", "container-orchestration", "cloud-operations", "infrastructure-as-code", "ci-cd", "observability", "slo-design", "networking", "security", "storage", "service-mesh" ], "domainSpecificKnowledge" : [ "Cloud-native", "Kubernetes", "AWS", "Container orchestration", "Cloud operations", "Infrastructure-as-Code", "CI/CD", "Observability", "SLO design", "Networking", "Security", "Storage", "Service mesh" ], "toolProficiency" : [ "Terraform", "AWS Load Balancers", "AWS Secrets Manager", "Helm", "Kustomize", "Kubectl", "GitLab CI/CD", "ArgoCD", "Prometheus", "Grafana", "ELK", "Elastic Stack" ], "communicationSkills" : "Clear communicator; Concise communicator", "documentationSkills" : "Documentation; Runbooks; Playbooks; Architecture diagrams", "continuousLearning" : "Stay current with technologies; Propose new approaches; Propose new technologies; Propose improvements", "innovationCreativity" : "Propose new approaches; Propose new technologies; Propose improvements", "problemSolvingSkills" : "Troubleshoot complex issues; Diagnose performance bottlenecks; Resolve performance bottlenecks; Analytical; Problem-solving", "outcomesObjectives" : "Minimize MTTR; Improve platform resilience; Meet compliance requirements; Improve KPIs", "qualificationsBasic" : "Degree in Computer Science, Diploma in Computer Science, Relevant experience, DevOps engineer experience, Platform engineer experience, SRE engineer experience, Cloud-native environments experience, AWS understanding, Kubernetes understanding, EKS understanding, Container orchestration understanding, Cloud operations understanding, IaC tools proficiency, Cloud integrations proficiency, Troubleshoot complex issues, Kubernetes tooling hands-on, Databases management experience, Production-grade code writing, Web applications understanding, Automated testing familiarity, GitOps/CI/CD tools experience, Observability systems experience, SLO design experience, AWS networking understanding, AWS security understanding, AWS storage understanding, Kubernetes networking understanding, Kubernetes security understanding, Kubernetes storage understanding", "qualificationsPreferred" : "Certified Kubernetes Administrator, CKAD certification, Kubernetes operators building, Kubernetes controllers building, Service mesh technologies experience, Chaos engineering experience, Large-scale reliability testing experience", "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 build automation via CI/CD, Infrastructure-as-Code, and controllers/operators. Partner with other engineers in the team to enable highly-automated, low-touch operations. Observability respond to incidents to minimise MTTR. Lead or contribute to post-incident reviews, drive actionable follow-ups, and improve platform resilience. Security & Compliance Embed security into every layer of the platform through secure defaults, policy enforcement, vulnerability scanning, and AWS/K8s best practices. Collaborate with security teams to meet regulatory and compliance requirements. Performance, Optimisation & Reliability Diagnose and resolve performance bottlenecks across the stack (AWS, Kubernetes, workloads, networking). Define, measure, and improve KPIs such as MTTR, error rates, SLO compliance, and cost efficiency. Strategic Tenant Engagement Act as a technical advisor for tenants on containerisation, CI/CD, and cloud-native deployment best practices. Participate in architecture reviews and guide tenants toward stable, secure, and scalable patterns. Knowledge Sharing & Documentation Maintain high-quality documentation, runbooks, playbooks, and architecture diagrams. Ensure operational and onboarding processes are well-understood across the team. Continuous Learning & Innovation Stay current with the latest in cloud-native, Kubernetes, GitLab, and AWS ecosystems. Propose new approaches, technologies, and improvements that enhance platform capabilities. [What we are looking for] Core Technical Skills Degree or diploma in Computer Science, Engineering, or relevant experience. Proven experience as a DevOps / Platform / SRE engineer working in cloud-native environments. Strong understanding of AWS, Kubernetes (especially EKS), container orchestration, and cloud operations. Proficiency with IaC tools (Terraform preferred) and cloud integrations (e.g., AWS Load Balancers, Secrets Manager). Ability to troubleshoot complex issues across distributed systems, containers, and underlying infrastructure. Hands-on experience with Kubernetes tooling: Helm, Kustomize, kubectl, ecosystem APIs. Experience managing databases (e.g., PostgreSQL, or cloud-managed equivalents), including backup/restore processes, snapshot automation, recovery testing, and ensuring data durability. Good software engineering fundamentals with ability to write production-grade code in Go, TypeScript, or Python. Understanding of how web applications work (Go, Python, React/NextJS). Familiarity with automated testing (unit, integration, end-to-end) for tools and automation you build. Experience with GitOps/CI/CD tools (GitLab CI/CD, ArgoCD). Experience with observability systems (Prometheus, Grafana, ELK/Elastic Stack) and SLO design. Strong understanding of networking, security, and storage in both AWS and Kubernetes contexts. Preferred Skills Certified Kubernetes Administrator (CKA) or CKAD. Experience building Kubernetes operators/controllers in Go. Experience with service mesh technologies. Experience with chaos engineering or large-scale reliability testing. Soft Skills Proactive in identifying problems and proposing practical, strategic solutions. Excellent analytical and problem-solving skills. Clear and concise communicator who can work with developers, security teams, and tenant engineering groups. Calm and effective under pressure, especially during incidents. Adaptable, curious, and continuously learning. Customer-focused and capable of providing actionable, empathetic technical guidance. Leadership or mentoring experience is a plus. GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers", "summaryDescription" : "Senior / Software Engineer (Developer Productivity Platforms) at GovTech. Skills: Developer Productivity Platforms, Cloud-native, Kubernetes, AWS. Build CI/CD pipelines. Implement Infrastructure-as-Code", "postedDate" : "2026-06-14T09:20:19.574", "createdAt" : "2026-06-14T09:20:19.574", "lastUpdated" : "2026-06-15T11:23:37.602", "ingestTimestamp" : "2026-06-14T09:20:19.574", "mongoId" : "6a2ca53674d8ee00a09b5371", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "IaC", "Container orchestration", "Cloud operations", "Kubernetes tooling", "Database management", "Automated testing", "GitOps", "CI/CD", "Observability systems", "SLO design", "Networking", "Security", "Storage", "Analytical", "Problem-solving", "Clear communicator", "Concise communicator", "Developer Productivity Platforms", "Cloud-native", "Kubernetes", "AWS", "System design", "Architecture reviews", "Technical advisor", "Agile", "Infrastructure-as-Code", "Observability", "Service mesh", "Certified Kubernetes Administrator", "CKAD", "Terraform", "AWS Load Balancers", "AWS Secrets Manager", "Helm", "Kustomize", "Kubectl", "GitLab CI/CD", "ArgoCD", "Prometheus", "Grafana", "ELK", "Elastic Stack" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1007.65924, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca47a74d8ee00a09b2173", "title" : "Systems Software Developer", "company" : "Closure Technologies", "industry" : "Government", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Systems Software Developer in Chantilly, United States, adjusted for the technology industry and company size." }, "location" : "Chantilly, Virginia, United States", "locations" : [ "Chantilly", "Virginia", "United States" ], "timestamp" : "2026-06-15T10:44:49.995", "fingerprint" : "0f6d9d3baeb482ebc6396d4b329930a508321cb3df77ba23722162703376094b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/closure-tech/jobs/4255056009", "externalId" : "4255056009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chantilly", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8852190,-77.4486772" } ], "locationText" : "Chantilly, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, SQL, JDK, J2EE, EJB, JDBC, Spring, RESTful APIs, ETL, Linux, Cloud", "professionalSkills" : [ "Data analysis", "Data parsing", "Data lifecycle management", "Data extraction", "Data cleansing", "Data transformation", "Data loading", "Data replication", "Data distribution", "Data profiling", "Data deduping", "Data matching", "Software solutions" ], "hardSkillsList" : [ "Java development", "Data analysis", "Data parsing", "SQL", "Database management", "Data lifecycle", "Big Data", "ETL tasks", "API development" ], "hardSkills" : [ { "name" : "Java development", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data parsing", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Data lifecycle", "level" : "intermediate" }, { "name" : "Big Data", "level" : "intermediate" }, { "name" : "ETL tasks", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Systems Software Development, Big Data, Cloud Data, Data Lifecycle Management", "majorSkillsList" : [ "Systems Software Development", "Big Data", "Cloud Data", "Data Lifecycle Management" ], "coreResponsibilities" : "Design ingest systems, Implement ingest systems, Optimize ingest systems, Optimize data lifecycle stages, Design data extraction, Implement data extraction, Design data cleansing, Implement data cleansing, Design data transformation, Implement data transformation, Design data loading, Implement data loading, Design data replication, Implement data replication, Design data distribution, Implement data distribution, Develop custom solutions, Develop code, Ingest data sources, Exploit data sources, Develop data profiling logic, Develop deduping logic, Develop matching logic, Organize data layer documentation, Maintain data layer documentation, Collaborate with teammates, Collaborate with service providers, Collaborate with vendors, Collaborate with users, Develop efficient methods, Articulate software solution risks, Articulate software solution constraints", "teamCollaboration" : "Collaborate with teammates; Collaborate with service providers; Collaborate with vendors; Collaborate with users", "domainKnowledge" : "Big Data; Cloud Data; Data Lifecycle; Data Ingestion; Data Cleansing; Data Transformation; Data Loading; Data Replication; Data Distribution; Data Profiling; Data Deduping; Data Matching; RESTful APIs; ETL", "domainList" : [ "big-data", "cloud-data", "data-lifecycle", "data-ingestion", "data-cleansing", "data-transformation", "data-loading", "data-replication", "data-distribution", "data-profiling", "data-deduping", "data-matching", "restful-apis", "etl" ], "domainSpecificKnowledge" : [ "Big Data", "Cloud Data", "Data Lifecycle", "Data Ingestion", "Data Cleansing", "Data Transformation", "Data Loading", "Data Replication", "Data Distribution", "Data Profiling", "Data Deduping", "Data Matching", "RESTful APIs", "ETL" ], "toolProficiency" : [ "Java", "JDK", "J2EE", "EJB", "JDBC", "Spring", "RESTful APIs", "ETL", "Linux", "Cloud", "AWS", "Microsoft Azure", "Hadoop", "Hbase", "MapReduce", "Elasticsearch" ], "communicationSkills" : "Articulate risks; Articulate constraints", "documentationSkills" : "Data layer documentation", "problemSolvingSkills" : "Data analysis; Data parsing; Data cleansing; Data transformation; Data profiling; Deduping logic; Matching logic", "specialRequirements" : "TS/SCI with Polygraph", "qualificationsBasic" : "Software development experience, Significant Java development, Data analysis/parsing, SQL/database experience, Full data lifecycle experience, Big Data environment experience, Java-related technologies experience, RESTful APIs experience, ETL tasks experience, Linux environments experience, Cloud environments experience", "qualificationsPreferred" : "Cloud technologies experience, AWS experience, Microsoft Azure experience, Hadoop experience, Hbase experience, MapReduce experience, Elasticsearch experience, Mission environment experience, Many data types experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Closure Technologies is seeking a Systems Software Developer in Chantilly, VA who will leverage their development skills and experience to support the successful ingestion, cleansing, transformation, loading, and display of significant amounts of data, with a particular focus on Cloud data. Clearance Requirement: TS/SCI with Polygraph Key Responsibilities: Designing, implementing, and optimizing large-scale ingest systems in a Big Data Cloud environment Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution Developing custom solutions/code to ingest and exploit new and existing data sources Developing data profiling, deduping logic, and matching logic for analysis Organizing and maintaining data layer documentation, so others are able to understand and use it Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods Effectively articulating the risks and constraints associated with software solutions, based on environment Required Qualifications: Strong software development experience, to include significant Java development, data analysis/parsing, and SQL/database experience Strong experience with the full data lifecycle, from ingest through display, in a Big Data environment Strong experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs Experience developing and performing ETL tasks in Linux and/or Cloud environments Preferred Qualifications: Demonstrated experience delivering solutions using Cloud technologies, such as AWS, Microsoft Azure, etc. Experience with Hadoop, Hbase, MapReduce Experience with Elasticsearch Experience working in a mission environment and/or with many different types of data", "summaryDescription" : "Systems Software Developer at Closure Technologies. Skills: Systems Software Development, Big Data, Cloud Data, Data Lifecycle Management. Design ingest systems. Implement ingest systems", "postedDate" : "2026-06-13T21:52:43.939", "createdAt" : "2026-06-13T21:52:43.939", "lastUpdated" : "2026-06-15T10:44:49.995", "ingestTimestamp" : "2026-06-13T21:52:43.939", "mongoId" : "6a2ca47a74d8ee00a09b2173", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Java development", "Data analysis", "Data parsing", "SQL", "Database management", "Data lifecycle", "Big Data", "ETL tasks", "API development", "Systems Software Development", "Cloud Data", "Data Lifecycle Management", "Data lifecycle management", "Data extraction", "Data cleansing", "Data transformation", "Data loading", "Data replication", "Data distribution", "Data profiling", "Data deduping", "Data matching", "Software solutions", "Data Lifecycle", "Data Ingestion", "Data Cleansing", "Data Transformation", "Data Loading", "Data Replication", "Data Distribution", "Data Profiling", "Data Deduping", "Data Matching", "RESTful APIs", "ETL", "Java", "JDK", "J2EE", "EJB", "JDBC", "Spring", "Linux", "Cloud", "AWS", "Microsoft Azure", "Hadoop", "Hbase", "MapReduce", "Elasticsearch" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1000.5526, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305710f292fd229cf334b5", "title" : "Software Developer", "company" : "7shifts", "industry" : "SaaS", "salary" : { "min" : 70000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Developer in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T07:28:22.872", "fingerprint" : "1ad0dc7ef797cdfd8221515d32123c242eb4a31c49074767996d9b5c8a4d10b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/7shifts/jobs/6029758004", "externalId" : "6029758004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Backend programming, Relational databases, AI development tools", "professionalSkills" : [ "Technical design", "System design", "Code reviews", "Architectural improvements", "Strategic refactoring", "Bug investigation", "Problem translation", "Technical discussions", "Process improvement", "Pragmatic technical decisions" ], "hardSkillsList" : [ "Web development", "API development", "Service development" ], "hardSkills" : [ { "name" : "Web development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Service development", "level" : "intermediate" } ], "majorSkills" : "Backend services, API development, AI assisted development", "majorSkillsList" : [ "Backend services", "API development", "AI assisted development" ], "coreResponsibilities" : "Design backend services, Build backend services, Maintain backend services, Design APIs, Build APIs, Maintain APIs, Design user-facing features, Build user-facing features, Maintain user-facing features, Use AI-assisted tools, Generate AI output, Review AI output, Validate AI output, Collaborate with engineers, Collaborate with product managers, Collaborate with designers, Translate complex problems, Enhance system reliability, Enhance system performance, Conduct code reviews, Make architectural improvements, Perform strategic refactoring, Take ownership of issues, Lead issue investigation, Lead issue resolution, Contribute to engineering culture, Participate in technical discussions, Improve team processes, Improve team standards, Drive projects, Make pragmatic decisions, Deliver value to users", "teamCollaboration" : "Cross-functional team; Team discussions", "projectManagementSkills" : [ "Full-cycle builder", "Own work end-to-end" ], "domainKnowledge" : "Restaurant industry; Scheduling platforms; Payroll platforms", "domainList" : [ "restaurant-industry", "scheduling-platforms", "payroll-platforms" ], "domainSpecificKnowledge" : [ "Restaurant industry", "Scheduling platforms", "Payroll platforms" ], "toolProficiency" : [ "Copilot", "Claude" ], "communicationSkills" : "Articulate technical concepts", "continuousLearning" : "Professional growth; Skill development", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Ship features; Deliver value", "qualificationsBasic" : "Degree in CS or related field, Equivalent practical experience, 2+ years web applications experience, Backend programming language proficiency, Relational databases understanding, Shipping high-quality code, Full software development lifecycle experience, Articulate complex technical concepts, Contribute effectively to team discussions, Leveraging AI development tools", "qualificationsPreferred" : "Restaurant-tech experience, Elixir production environment experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams. As an Intermediate Software Developer at 7shifts, you're a full-cycle builder, taking features from technical design to deployment across a platform used by 1M+ workers in 55,000 restaurants. You'll work in a cross-functional team alongside product managers, designers, and other developers, owning your work end-to-end and making pragmatic technical decisions that ship. You report to an Engineering Manager who is invested in your growth, gives you real feedback, and creates the conditions for you to do your best work. AI is part of the toolkit here, you use it actively, you know when to reach for it, and you hold the bar on what ships. We’re building an inclusive work environment that is representative of the diverse industry we have the pleasure of serving, and encourage candidates from all backgrounds to apply. What you’ll do: Design, build, and maintain resilient and scalable backend services, APIs, and user-facing features Use AI-assisted development tools as an active part of your workflow, generating, reviewing, and validating output with the same rigour you'd apply to any production code Collaborate with a cross-functional team of engineers, product managers, and designers to translate complex problems into elegant and practical solutions Enhance the reliability and performance of our systems through thoughtful code reviews, architectural improvements, and strategic refactoring Take ownership of production issues, leading the investigation and resolution of bugs and customer-reported problems Contribute to our engineering culture by actively participating in technical discussions and consistently improving our team's processes and standards Drive projects from concept to completion, making pragmatic technical decisions and consistently delivering value to our users What you bring: A degree or diploma in computer science, software engineering, or a related technical field, or equivalent practical experience 2+ years of professional experience building, deploying, and maintaining web applications and services in a team environment Proficiency in modern web development, including experience with a backend programming language and a solid understanding of relational databases A proven track record of shipping high-quality code, demonstrating a strong sense of ownership and the ability to see features through the full software development lifecycle Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly and contribute effectively to team discussions A proactive and autonomous work ethic, knowing how to navigate ambiguity, manage your priorities, and make sound technical trade-offs Experience in leveraging AI development tools (e.g., Copilot, Claude) A customer-focused mindset and a genuine passion for building products that solve real-world problems It’d be even cooler if you had: Experience in restaurant-tech, delivering customer-focused solutions Hands-on experience using Elixir in a production environment This role is an existing vacancy and is part of our current hiring plan Compensation The base compensation range for this position is CAD $80,000 - $120,000. This range reflects the full growth path for the role, from building core skills to accomplished performance, through to role mastery. We typically target the accomplished level when hiring externally. At this level, individuals bring relevant experience in the role, demonstrate strong job-related skills, operate with confidence and consistency, and are able to deliver impact with limited ramp-up while still having meaningful opportunity to grow. Compensation at 7shifts is performance and growth-driven. As you develop your skills and expand your impact over time, your compensation grows with you. Your specific placement within this range is based on your job-related skills, knowledge, and experience, as well as our internal equity assessment. We are always happy to discuss our approach throughout the hiring process. Our commitment to our Shifties: Opportunity: Our product is evolving in exciting ways, and we’re focused on delivering even more value to restaurants. This momentum creates real opportunities to learn and grow. Whether you’re honing your craft or exploring new paths, you’ll be supported and empowered to own your growth and impact a product shaping the future of the restaurant industry. Challenge: We’re tackling real problems in a fast-moving, complex industry. The work is scrappy and ambiguous, but meaningful. You’ll think critically, act with intention, and shape solutions that make a real difference for restaurant teams. Culture: We’re proud to be recognized among the best workplaces in North America. Guided by our mission and values, we move fast to solve meaningful problems and celebrate wins together. Whether through in-office and remote events, team offsites like Sparks, or everyday moments of connection, we create space for shared growth, collaboration, and fun. Equity: We’re a Series C, VC-backed SaaS company, and we believe everyone should share in the success they help create. When we build together, we grow together. Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental, lifestyle spending accounts to a parental leave program built with flexibility in mind, to help you bring your best self to work. Flexibility: Our team is intentional around how and where we work, whether remotely, in person, or a mix of both. We prioritize candidates who thrive in a hybrid work environment with offices in Saskatoon and Toronto, ensuring in-person collaboration and connection when possible. Plus, we offer a flexible vacation policy to encourage everyone to recharge when needed. Oh, and our ‘90 Day Shift’ program lets Shift work from (almost) anywhere because who wouldn’t want to trade their desk for a beach view once in a while? Support: We set Shifties up for success with the tools they need, like the latest Apple tech, a home office setup, and some 7shifts swag to make it official. But support goes beyond day one. We’re serious about professional growth, offering coaching, feedback, development planning, and opportunities to grow from within. We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds. We thank you for your interest in joining the 7shifts team! Our privacy policy can be found here.", "summaryDescription" : "Software Developer at 7shifts. Skills: Backend services, API development, AI assisted development. Design backend services. Build backend services", "postedDate" : "2026-06-15T23:19:58.828", "createdAt" : "2026-06-15T23:19:58.828", "lastUpdated" : "2026-06-16T07:28:22.872", "ingestTimestamp" : "2026-06-15T23:19:58.828", "mongoId" : "6a305710f292fd229cf334b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Web development", "API development", "Service development", "Backend services", "AI assisted development", "Technical design", "System design", "Code reviews", "Architectural improvements", "Strategic refactoring", "Bug investigation", "Problem translation", "Technical discussions", "Process improvement", "Pragmatic technical decisions", "Full-cycle builder", "Own work end-to-end", "Restaurant industry", "Scheduling platforms", "Payroll platforms", "Copilot", "Claude" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 990.85614, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307648f292fd229c017e07", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "Technology", "salary" : { "min" : 7000000.0, "max" : 1.2E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T11:50:41.684", "fingerprint" : "ffd5a96f070e29b9bcc6a9a8677084fa71b587614ef7962478974572d31377ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000302004", "externalId" : "6000302004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, NET, Python, MongoDB, Generative AI, GPT APIs, LLMs", "professionalSkills" : [ "Delivery", "Ownership", "Execution" ], "hardSkillsList" : [ "AI-driven approach", "AI workflows" ], "hardSkills" : [ { "name" : "AI-driven approach", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" } ], "majorSkills" : "AI-First Engineering, Software Development, DevOps, Cloud", "majorSkillsList" : [ "AI-First Engineering", "Software Development", "DevOps", "Cloud" ], "coreResponsibilities" : "Deliver production-quality features, Apply AI across development lifecycle, Establish new engineering benchmark, Understand AWS tech stack, .NET tech stack understanding, Python tech stack understanding, MongoDB tech stack understanding, Ship real features using AI, Contribute to improving workflows, Own full lifecycle of feature delivery, Identify improvements in velocity, Identify improvements in automation, Identify improvements in team efficiency, Partner with Product Leads, Partner with Tech Leads, Accelerate time-to-market, Deliver features faster, Deliver features with higher quality, Mentor others on using AI, Drive AI-First engineering standard", "teamCollaboration" : "Cross-functional teams; Product and Tech Leads", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Hybrid workforces; AI agents; Multilingual content", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "hybrid-workforces", "ai-agents", "multilingual-content" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Hybrid workforces", "AI agents", "Multilingual content" ], "toolProficiency" : [ "Copilot", "Cursor", "WindSurf", "GPT APIs", "LLMs" ], "documentationSkills" : "Documentation", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver high-quality features faster; Build and optimize AI-first workflows; Raise the bar for speed; Raise the bar for quality; Raise the bar for ownership; Be a core contributor", "qualificationsBasic" : "Mastery in using AI tools, Technical foundation in AWS, NET technical foundation, Python technical foundation, MongoDB technical foundation, Obsessed with delivery", "qualificationsPreferred" : "Experience with Copilot, Experience with Cursor, Experience with WindSurf, Experience with GPT APIs, Experience with LLMs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here. MISSION As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company. OUTCOMES Consistently deliver high-quality, production-grade features faster than traditional teams. Build and optimize AI-first workflows that integrate AI across all development stages. Raise the bar for speed, quality, and ownership in product delivery. Be a core contributor to the new engineering culture built on AI-First principles. HOW YOU’LL RAMP By Day 30: Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model. Start shipping real features using AI at every stage: coding, testing, documenting, releasing. Contribute to improving workflows for even faster delivery. By Day 60: Independently own the full lifecycle of feature delivery through AI-first methods. Identify and drive improvements in velocity, automation, and team efficiency. Partner with Product and Tech Leads to aggressively accelerate time-to-market. By Day 90: Deliver features faster and with higher quality than baseline teams. Actively mentor others on using AI as a multiplier across development. Become a key driver of the AI-First engineering standard inside the company. WHAT YOU’VE ACCOMPLISHED: Proven track record of delivering production-grade products using AI-driven approach. Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release. Strong technical foundation in AWS, .NET, Python, and MongoDB. Obsessed with delivery: you ship, you improve, you own the outcome. Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: AI-First Engineering, Software Development, DevOps, Cloud. Deliver production-quality features. Apply AI across development lifecycle", "postedDate" : "2026-06-16T01:16:59.927", "createdAt" : "2026-06-16T01:16:59.927", "lastUpdated" : "2026-06-16T11:50:41.684", "ingestTimestamp" : "2026-06-16T01:16:59.927", "mongoId" : "6a307648f292fd229c017e07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI-driven approach", "AI workflows", "AI-First Engineering", "Software Development", "DevOps", "Cloud", "Delivery", "Ownership", "Execution", "Agile", "Agentic AI", "Enterprise Skill Graph", "Hybrid workforces", "AI agents", "Multilingual content", "Copilot", "Cursor", "WindSurf", "GPT APIs", "LLMs" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 966.7073, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564bf292fd229cf26f38", "title" : "Software Development Manager", "company" : "ADCI HYD 13 SEZ", "industry" : "Software Development, finance", "salary" : { "min" : 2250000.0, "max" : 3750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Manager in Hyderabad, India, adjusted for manager seniority and technology industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T07:14:36.407", "fingerprint" : "4cfe95acdf34ea789fd96a84576916c8d8fac1bdd8f8de4676b04404e010bd86", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448506/apply", "externalId" : "cdf25010-f19f-470e-812b-45bbb7f99f35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Data structures, Algorithms, Software development, Machine Learning, Object oriented programming, Agentic AI, LLMs", "professionalSkills" : [ "System design", "Architecture decisions" ], "hardSkillsList" : [ "Distributed systems", "Scalable systems", "Financial data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Scalable systems", "level" : "intermediate" }, { "name" : "Financial data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Software Development Management, Distributed Systems, Financial Systems", "majorSkillsList" : [ "Software Development Management", "Distributed Systems", "Financial Systems" ], "coreResponsibilities" : "Shape vision and strategy, Design scalable systems, Design secure systems, Handle sensitive financial data, Mentor team, Grow team, Share journey to deliver, Deliver with quality, Deep dive systems, Develop systems, Deliver highly maintainable systems, Drive adoption of emerging technologies, Influence automation strategy", "teamCollaboration" : "Cross systems; Other technical teams; Senior leadership", "domainKnowledge" : "Financial systems; Distributed systems; Scalable systems; Large-scale computing; Agentic AI; LLMs", "domainList" : [ "financial-systems", "distributed-systems", "scalable-systems", "large-scale-computing", "agentic-ai", "llms" ], "domainSpecificKnowledge" : [ "Financial systems", "Distributed systems", "Scalable systems", "Large-scale computing", "Agentic AI", "LLMs" ], "communicationSkills" : "Describe software product features; Describe technical designs; Describe product strategy", "problemSolvingSkills" : "Complex challenges", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading multi tier web services, Knowledge of engineering practices, Experience partnering with product teams", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting, hiring, mentoring, Managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Finance Automation Team is looking for an experienced Software Development Manager to play a key role in building the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, relishes working with data, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. The ideal candidate will be passionate about leading a team driving the next generation of scalable and fast distributed systems on industry leading technologies. A Software Development Manager at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, software development, Machine Learning, and object oriented programming. Coming to Amazon gives you the opportunity to work on a development team in one of our many rapidly growing organizations. Along with complex problems to solve, we provide you a world class work environment and a chance to work with the industry's most talented team members in the data engineering and software development space. You will lead on how to design, build, test, and implement scalable solutions. Key job responsibilities * Working collaboratively, shape the vision and strategy for solving business problems spread across retail and other cross systems outside of retail * Design scalable, secure systems that handle sensitive financial data. * Mentor, grow, and share the journey to deliver with quality. * Deep dive, develop and deliver systems that are highly maintainable. Technical leader for the team with the ability to deliver against all odds. * Data driven approach for making right architecture decisions, managing business priorities * Drive adoption of emerging technologies including agentic AI and LLMs * Influence automation strategy across the organization Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager at ADCI HYD 13 SEZ. Skills: Software Development Management, Distributed Systems, Financial Systems. Shape vision and strategy. Design scalable systems", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:44.018", "lastUpdated" : "2026-06-16T07:14:36.407", "ingestTimestamp" : "2026-06-15T21:59:44.018", "mongoId" : "6a30564bf292fd229cf26f38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448506/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Scalable systems", "Financial data systems", "Leadership", "Software Development Management", "Distributed Systems", "Financial Systems", "System design", "Architecture decisions", "Financial systems", "Large-scale computing", "Agentic AI", "LLMs" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 965.386, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f042beec4dd3d934063", "title" : "Manager, Software Development, Network Product Development", "company" : "Amazon Data Services, Inc.", "industry" : "Hardware Development, Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T04:15:43.343", "fingerprint" : "0acaf6db044da0ec5e21a0b11fb533ae9faf6324a66d458fa5e77de44f75f88f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381811/apply", "externalId" : "9f86e5c3-c9a9-440c-aa86-871db8539dd8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Unix, IP networks, ML, AI/ML", "professionalSkills" : [ "Network operations", "Supply chain", "Quality assurance", "Operational intelligence", "Product development", "Data onboarding", "Architectural excellence", "Business objectives", "Project priorities", "Milestone commitments", "Technical excellence", "Continuous improvement", "Organizational boundaries", "Engineering best practices", "Operational excellence", "Hardware solutions", "Software tools", "Business impact", "Product strategy" ], "hardSkillsList" : [ "Network telemetry", "Predictive systems", "Network validation", "Troubleshooting tools", "Data infrastructure", "Software services", "Data platforms", "Network reliability", "Preventive maintenance", "Deployment efficiency", "Operational issues", "Maintenance overhead", "Scalability", "Project delivery", "On-call workload", "Operational workload", "Root cause analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Network telemetry", "level" : "intermediate" }, { "name" : "Predictive systems", "level" : "intermediate" }, { "name" : "Network validation", "level" : "intermediate" }, { "name" : "Troubleshooting tools", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "Software services", "level" : "intermediate" }, { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Network reliability", "level" : "intermediate" }, { "name" : "Preventive maintenance", "level" : "intermediate" }, { "name" : "Deployment efficiency", "level" : "intermediate" }, { "name" : "Operational issues", "level" : "intermediate" }, { "name" : "Maintenance overhead", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Project delivery", "level" : "intermediate" }, { "name" : "On-call workload", "level" : "intermediate" }, { "name" : "Operational workload", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Software Development, Network Infrastructure, Distributed Systems, AI/ML", "majorSkillsList" : [ "Software Development", "Network Infrastructure", "Distributed Systems", "AI/ML" ], "coreResponsibilities" : "Build software infrastructure, Develop telemetry systems, Create automation tools, Enable network interconnects, Support network operations, Define technical strategy, Establish organizational capabilities, Drive delivery of systems, Power network monitoring, Improve quality assurance, Build ML-driven systems, Develop data platforms, Create troubleshooting tools, Transform troubleshooting, Own strategy execution, Improve deployment efficiency, Provide recommendations, Define technical vision, Reduce maintenance overhead, Enable data onboarding, Set technical direction, Build organizational mechanisms, Ensure architectural excellence, Develop strategy roadmaps, Align roadmaps, Build team processes, Balance workload, Hire software developers, Mentor software developers, Develop software developers, Foster technical excellence, Foster continuous improvement, Collaborate across organizations, Align partner teams, Drive software infrastructure delivery, Communicate technical information, Set engineering best practices, Establish metrics, Establish mechanisms, Establish feedback loops, Drive continuous improvement, Improve team delivery, Improve operational excellence, Understand AWS network, Understand customer requirements, Devise hardware solutions, Influence industry, Develop software tools, Maintain highly available network, Design processes, Implement processes, Deliver business impact, Raise bar on operational excellence, Identify solutions, Develop solutions", "teamCollaboration" : "Cross-functional partners; Diverse team; Sister teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "IP networks; Network telemetry; Network monitoring; Network reliability; Cloud applications; Embedded devices", "domainList" : [ "ip-networks", "network-telemetry", "network-monitoring", "network-reliability", "cloud-applications", "embedded-devices" ], "domainSpecificKnowledge" : [ "IP networks", "Network telemetry", "Network monitoring", "Network reliability", "Cloud applications", "Embedded devices" ], "toolProficiency" : [ "Unix systems", "Network systems" ], "communicationSkills" : "Communicate complex technical information", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years software development, Experience building distributed systems, Experience managing large technical programs, Experience building team capabilities for LLMs, Experience with hardware troubleshooting, Experience with embedded software development", "qualificationsPreferred" : "Experience with Unix systems engineering, Experience with network engineering, Experience with ML-driven predictive systems, Experience with self-service data platforms, Experience with intelligent troubleshooting tools, Experience with cloud applications, Experience with embedded devices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you like to use network and Unix systems engineering to deliver simple, sustainable, and repeatable solutions? Would you like to play a key role in driving the stability and sustainability of next-generation IP networks? AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Core Networking team is looking for an experienced Software Development Manager to lead our Network Product Development (NPD) Interconnects Tools and Metrics organization. In this role, you will build and scale high-performing engineering teams responsible for developing the software infrastructure, telemetry systems, and automation tools that enable the interconnects and links that help enable Amazon's global network operations. AWS Core Networking builds and operates the foundational network infrastructure that connects data centers worldwide, supporting AWS customers and Amazon's business units with industry-leading performance and reliability. As a Software Development Manager, you will define technical strategy, establish organizational capabilities, and drive the delivery of large-scale distributed systems that power network monitoring, quality assurance, and operational intelligence. You will lead teams building ML-driven predictive systems, self-service data platforms, and intelligent troubleshooting tools that transform how we deploy, monitor, and maintain network infrastructure at scale. This role requires strong technical leadership, excellent communication skills to collaborate with cross-functional partners, and a proven track record of building teams that deliver mission-critical software systems. You will stay abreast of emerging technologies and AI/ML capabilities, investigating and implementing innovations that accelerate delivery and improve operational excellence. Key job responsibilities - Build the organization and systems that delivers highly available, large-scale distributed software services for Amazon Network telemetry, operational monitoring, and reliability tools that improve network availability and performance - Establish the strategy and team capabilities for automated quality monitoring and predictive systems for interconnect products that provide actionable intelligence to product owners, supply chain teams, and operational stakeholders - Define our ML initiatives and build the team that is capable of embodying proactive network reliability, transforming reactive troubleshooting into preventive maintenance that reduces customer impact - Own the strategy and execution of network validation and troubleshooting tools that improve deployment efficiency and provide intelligent, context-driven recommendations for operational issues - Define the technical vision for scalable, self-service data infrastructure and telemetry platforms that reduce operational maintenance overhead and enable rapid data onboarding - Set technical direction and build organizational mechanisms that ensure architectural excellence and scalability across all team deliverables - Develop and communicate monthly, quarterly, and yearly strategy and roadmaps aligned with project priorities, business objectives, and team capabilities - Build team processes and operational rhythms across the full development lifecycle, balancing on-call and operational workload with project delivery and milestone commitments - Hire, mentor, and develop a high-performing software development team while fostering a culture of technical excellence and continuous improvement - Collaborate and influence across multiple organizations to align partner and dependent teams, driving delivery of software infrastructure that spans organizational boundaries - Communicate complex technical information clearly and concisely to diverse audiences, including engineers, leadership, and cross-functional stakeholders - Set technical direction and establish engineering best practices that scale across the organization - Establish metrics, mechanisms, and feedback loops that drive continuous improvement in team delivery and operational excellence A day in the life On an everyday basis as part of our team, you have the unique opportunity to understand the growing AWS network and our internal customers’ requirement on interconnect solutions. You'll work backwards to devise hardware solutions by influencing the broad industry and/or to develop software tools with sister teams to maintain a highly available network that delights AWS customers. You design and implement processes and mechanisms that both help the team to deliver business impact to the organization in a systemic way, while also helping to raise the bar on our operational excellence. Operating at the scale we do, there is no blueprint for how to do what we do, which encourages our engineers to identify and develop simple solutions to complex problems. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. We work closely with our internal partners that design, build and operate the network to ensure that our solutions meet their needs and exceed their expectations. About the team Within AWS Networking the NPD (Network Product Development) organization is responsible for, designing the hardware, building the software, and owning the interconnects for the routers that power the global AWS network. Beyond product delivery we actively manage the fleet or routers in a network that grows by 70% annually. This means tracking key business and operational metrics to ensure that we operate smoothly and minimize or eliminate customer impact due to device related issues for a transparent AWS customer experience. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - 5+ years of engineering team management experience - 10+ years of working directly with engineering teams experience - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 5+ years of experience setting technical strategy and building teams that architect new and existing systems (design patterns, reliability, and scaling) - 5+ years of experience leading teams that develop in Java, Python, or Rust - 3+ years of experience in leading a team building and scaling AWS (or equivalent) services - Experience setting technical strategy and providing leadership across the full software development lifecycle - Experience building and scaling organizations that develop large-scale, multi-tiered distributed software systems using service-oriented architecture and distributed programming Preferred Qualifications: - PhD in computer science, computer engineering, or related field, or Master's degree - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience building, managing and coaching a team in a high-growth environment - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience managing large technical programs, particularly at high growth startups or large enterprises - Experience building team capabilities and strategies for leveraging large language models to accelerate delivery - Experience with hardware troubleshooting and debugging - Experience with embedded software development for understanding of constraints/best practices when building cloud applications that interface with embedded devices Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually", "summaryDescription" : "Manager, Software Development, Network Product Development at Amazon Data Services, Inc.. Skills: Software Development, Network Infrastructure, Distributed Systems, AI/ML. Build software infrastructure. Develop telemetry systems", "postedDate" : "2026-06-13T10:13:15.141", "createdAt" : "2026-06-13T10:13:15.141", "lastUpdated" : "2026-06-15T04:15:43.343", "ingestTimestamp" : "2026-06-13T10:13:15.141", "mongoId" : "69cf3f042beec4dd3d934063", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381811/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 287700, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Network telemetry", "Predictive systems", "Network validation", "Troubleshooting tools", "Data infrastructure", "Software services", "Data platforms", "Network reliability", "Preventive maintenance", "Deployment efficiency", "Operational issues", "Maintenance overhead", "Scalability", "Project delivery", "On-call workload", "Operational workload", "Root cause analysis", "Leadership", "Mentoring", "Software Development", "Network Infrastructure", "Distributed Systems", "AI/ML", "Network operations", "Supply chain", "Quality assurance", "Operational intelligence", "Product development", "Data onboarding", "Architectural excellence", "Business objectives", "Project priorities", "Milestone commitments", "Technical excellence", "Continuous improvement", "Organizational boundaries", "Engineering best practices", "Operational excellence", "Hardware solutions", "Software tools", "Business impact", "Product strategy", "Roadmap planning", "IP networks", "Network monitoring", "Cloud applications", "Embedded devices", "Unix systems", "Network systems" ], "skillCount" : 49, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 965.1747, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca5bd74d8ee00a09b7ee5", "title" : "AI Product Developer", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 500000.0, "max" : 750000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Product Developer in Copenhagen, Denmark, adjusted for mid-seniority and consulting industry." }, "location" : "Copenhagen", "locations" : [ "Copenhagen" ], "timestamp" : "2026-06-16T04:50:21.042", "fingerprint" : "a95208032f632a3639b321e2d71ad7db515690c0ee9b4c717c89a0ec91a4de53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7749472003", "externalId" : "7749472003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Copenhagen", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.6867243,12.5700724" } ], "locationText" : "Copenhagen, Denmark", "technicalSkills" : "GenAI", "professionalSkills" : [ "Product thinking", "Design craft", "Front-end engineering" ], "hardSkillsList" : [ "User journeys", "Interface design" ], "hardSkills" : [ { "name" : "User journeys", "level" : "intermediate" }, { "name" : "Interface design", "level" : "intermediate" } ], "majorSkills" : "Product strategy, AI tools, User interfaces", "majorSkillsList" : [ "Product strategy", "AI tools", "User interfaces" ], "coreResponsibilities" : "Frame problem with client, Sit with client teams, Map workflows, Translate complexity into journeys, Move from idea to prototype, Use AI tools for productivity, Demo to stakeholders, Iterate against feedback, Build the thing, Ship client-facing POCs, Ship client-facing MVPs, Design and code as same act, Design GenAI interfaces, Wrap AI behavior in interfaces, Tell story around built products, Shape delivery experience", "teamCollaboration" : "Strategy teams; AI teams; Client teams; Cross-discipline teams", "projectManagementSkills" : [ "Roadmap", "User stories" ], "domainKnowledge" : "Data-driven products; AI-driven products; Health 3.0; Streaming responses; Tool use; Retrieval; Multi-step agents", "domainList" : [ "data-driven-products", "ai-driven-products", "health-3-0", "streaming-responses", "tool-use", "retrieval", "multi-step-agents" ], "domainSpecificKnowledge" : [ "Data-driven products", "AI-driven products", "Health 3.0", "Streaming responses", "Tool use", "Retrieval", "Multi-step agents" ], "toolProficiency" : [ "Vercel", "APIs" ], "communicationSkills" : "Case narratives; Signature demos", "continuousLearning" : "Explore new tools; Explore methods; Explore technologies", "innovationCreativity" : "Prototype development; Experiment development", "problemSolvingSkills" : "Ask clarifying questions", "specialRequirements" : "European candidates only, Located in Denmark", "qualificationsBasic" : "Experience building GenAI interfaces, Comfortable deploying to Vercel, Comfortable wiring up APIs, Fluent in AI-native tooling", "qualificationsPreferred" : "Agency background a plus, Studio background a plus, Consultancy background a plus", "workSiteFlexibility" : "Flexible", "rawDescription" : "Do you love the moment an idea becomes something you can click on? Do you enjoy sitting with the people who'll actually use what you make? Are you the kind of builder who can't quite tell where design ends and code begins - and likes it that way? For our Copenhagen office, we are looking for an AI Product Developer to help us design, prototype, and build the next generation of data- and AI-driven products for our clients. This is not a traditional UX designer role, and it's not a traditional front-end role either. It's a builder role for someone who lives at the intersection of product thinking, design craft, front-end engineering, and emerging AI tools. Who is Intellishore? Founded in 2013, Intellishore is home to 80+ passionate specialists in strategy, AI, and data, working from our Copenhagen and Zurich offices. We partner with leading organizations to shape the future of health, working with partners across the ecosystem to unlock the full potential of data and AI. Read more about our vision for Health 3.0 here: https://www.intellishore.dk/health We are builders who believe in an open and honest approach to consulting. We ask questions, stand by our beliefs, and cut through complexity to create clarity. For us, progress doesn’t come from technology alone - it happens when the right people have the right data, strategy, and tools to act. As a collective of developers and strategists, visionaries and pragmatists, we bring energy, expertise, and a passion for helping others succeed. Read more about our team here: https://www.intellishore.dk/about. What will you be working on? You’ll be working closely with our strategy and AI teams, turning strategies, models, and new workflows into products that our clients actually use. The role spans the full path from problem to shipped product: Frame the problem alongside the client. Sit with client teams. Map workflows. Ask the questions that get past surface requirements. Translate business and data complexity into clear user journeys and interfaces. Move from idea to working prototype in days. Use the latest AI tools to power your productivity to get there fastest. Demo to stakeholders. Iterate against real feedback. Build the thing. Ship client-facing POCs and MVPs. Design and code as the same act, not two phases with a handoff between them. Design GenAI interfaces that don't feel like AI slop in a box. Streaming responses, tool use, retrieval, multi-step agents, wrapped in interfaces that make complex AI behaviour feel coherent. Tell the story around what we have built. Hero visuals, case narratives, signature demos. The output that defines how Intellishore shows up to clients and the market. You’ll be a part of shaping the experience of what we deliver and how we show up.  Who are we looking for?  Successful candidates are curious, craft-led builders with entrepreneurial energy. You are perfect for this role if you: Are experienced in building GenAI interfaces. The things you've built work, look good, and were used by someone. You are comfortable deploying to Vercel and wiring up APIs. Care about the craft. Visual quality, interaction design, the small details. You think how something feels is part of whether it works. Are entrepreneurial and comfortable with ambiguity. You are the kind of person who'd rather fail fast than waiting for a full brief. Are collaborative. You enjoy working closely with people across disciplines - strategy, data scientists, engineers, clients. Are fluent in AI-native tooling. You multiply your productivity and quality through the latest AI tools and stay up to date on the latest developments. Have client experience. Agency, studio, or consultancy background is a plus. We don’t care what you studied - we care about what you’ve built. Show us interfaces, prototypes, visuals, experiments, or anything that demonstrates how you turn ideas into products or experiences when you apply. What can we offer you?  1 | Creative freedom and influence You’ll help shape how Intellishore designs and delivers experiences - not just follow templates. 2 | Entrepreneurial environment A fast-moving consultancy where ideas turn into action quickly. 3 | Meaningful impact Work at the intersection of health, AI, and data, helping shape solutions that matter and be a central part of building for Health 3.0.  4 | Learning & exploration Time and space to explore new tools, methods, and technologies - and bring them into practice. 5 | Strategic Seminar A yearly strategic seminar where all Intellishorians across locations spend time strategizing and team-building (in previous years, we've been to Iceland, Germany, Italy, and France) 6 | A strong community Intellishorians are curious, ambitious, and genuinely enjoy working together. Read more about our people and culture at: https://www.intellishore.dk/join  How to apply? Send us:  Your CV Your portfolio of interfaces, prototypes, visuals, motion graphics, experiments, or anything that demonstrates how you turn ideas into experiences (mandatory) A short motivational letter Please note:  Applicants will be invited to interviews on a rolling basis. We are currently only accepting applications from European candidates located in Denmark. For more information about the position, please reach out to Sofie Freund: sofie.freund@intellishore.dk / +45 93 98 17 27. ", "summaryDescription" : "AI Product Developer at Intellishore. Skills: Product strategy, AI tools, User interfaces. Frame problem with client. Sit with client teams", "postedDate" : "2026-06-14T20:12:05.890", "createdAt" : "2026-06-14T20:12:05.890", "lastUpdated" : "2026-06-16T04:50:21.042", "ingestTimestamp" : "2026-06-14T20:12:05.890", "mongoId" : "6a2ca5bd74d8ee00a09b7ee5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "User journeys", "Interface design", "Product strategy", "AI tools", "User interfaces", "Product thinking", "Design craft", "Front-end engineering", "Roadmap", "User stories", "Data-driven products", "AI-driven products", "Health 3.0", "Streaming responses", "Tool use", "Retrieval", "Multi-step agents", "Vercel", "APIs" ], "skillCount" : 19, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 951.7802, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "69164daa70f0b99d586f345f", "title" : "Associate Developer Advocate, Developer Productivity, DevEx", "company" : "Amazon Web Services, Inc.", "industry" : "Marketing PR, Solution Architect, Cloud Computing", "salary" : { "min" : 88400.0, "max" : 192600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:10:49.705", "fingerprint" : "5e75f2581c29b906a9e8334d4e844dd414b27f1116fbfdc33d691026f61bbcb9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121748/apply", "externalId" : "6fbb754e-10db-4fa6-8fdb-1afc9002d261", "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", "technicalSkills" : "AI, Serverless, Python, Ruby, Node.js, C#, C++, Java, AWS", "professionalSkills" : [ "Developer productivity", "Technical content creation", "Community engagement", "Product feedback", "Problem-solving scenarios", "Full-stack architectures", "Integration patterns", "Product roadmaps", "Developer experience" ], "hardSkillsList" : [ "Live coding", "Technical demonstrations", "Implementation guides", "Modernizing applications", "Building applications", "Creating integrations", "Showing workflows", "Content development", "Community feedback", "Technical discussions", "Testing beta releases", "Writing blog posts", "Breaking down patterns" ], "softSkillsList" : [ "Public speaking" ], "hardSkills" : [ { "name" : "Live coding", "level" : "intermediate" }, { "name" : "Technical demonstrations", "level" : "intermediate" }, { "name" : "Implementation guides", "level" : "intermediate" }, { "name" : "Modernizing applications", "level" : "intermediate" }, { "name" : "Building applications", "level" : "intermediate" }, { "name" : "Creating integrations", "level" : "intermediate" }, { "name" : "Showing workflows", "level" : "intermediate" }, { "name" : "Content development", "level" : "intermediate" }, { "name" : "Community feedback", "level" : "intermediate" }, { "name" : "Technical discussions", "level" : "intermediate" }, { "name" : "Testing beta releases", "level" : "intermediate" }, { "name" : "Writing blog posts", "level" : "intermediate" }, { "name" : "Breaking down patterns", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Public speaking" } ], "majorSkills" : "Developer Productivity, AI-assisted development, Technical content, Community engagement", "majorSkillsList" : [ "Developer Productivity", "AI-assisted development", "Technical content", "Community engagement" ], "coreResponsibilities" : "Create technical content, Build video tutorials, Build live coding demonstrations, Build implementation guides, Help developers integrate tools, Showcase AWS developer tools, Develop long-form technical content, Show complete problem-solving scenarios, Modernize legacy applications, Build full-stack architectures, Build full applications, Create integration patterns, Show practical workflows, Develop content for frontend developers, Develop content for backend engineers, Develop content for full-stack teams, Identify gaps between developer needs, Identify gaps between tooling capabilities, Work with engineering teams, Influence product roadmaps, Contribute to open source projects, Build guides for productivity improvements, Review community feedback, Build live coding demos, Show Java modernization techniques, Engage in technical discussions, Collaborate with product teams, Test beta releases, Create content for developer pain points, Prepare for conference talks, Write technical blog posts, Break down complex integration patterns", "teamCollaboration" : "Work directly with teams; Collaborate with product teams; Work with developer community; Collaborate with engineering teams", "projectManagementSkills" : [ "Product roadmaps" ], "domainKnowledge" : "Developer productivity; AI-assisted development; Cloud platform; Serverless products", "domainList" : [ "developer-productivity", "ai-assisted-development", "cloud-platform", "serverless-products" ], "domainSpecificKnowledge" : [ "Developer productivity", "AI-assisted development", "Cloud platform", "Serverless products" ], "toolProficiency" : [ "Kiro" ], "communicationSkills" : "Technical content; Video tutorials; Live coding; Implementation guides; Technical demonstrations; Conference talks; Technical blog posts", "documentationSkills" : "Implementation guides; Technical blog posts", "continuousLearning" : "Learning experiences; Mentorship; Career-advancing resources", "innovationCreativity" : "Influencing the future; Influencing product roadmaps", "problemSolvingSkills" : "Problem solving; Troubleshooting; Debugging", "outcomesObjectives" : "Maximize developer productivity; Help developers write code efficiently; Help developers debug faster; Eliminate time-consuming manual tasks; Achieve measurable productivity improvements", "qualificationsBasic" : "Experience with Python, Experience with Ruby, Experience with Node.js, Experience with C#, Experience with C++, Knowledge of Computer Science fundamentals, Knowledge of object-oriented design, Knowledge of algorithm design, Knowledge of data structures, Knowledge of problem solving, Knowledge of complexity analysis", "qualificationsPreferred" : "Experience implementing cloud-based technology, Experience in customer-facing role, Ability to articulate technical challenges, Ability to articulate technical solutions, Public speaking experience, Content creation experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Developers are at the heart of everything AWS builds. We are creating AI-powered development tools like Kiro and our serverless products that help developers write code more efficiently, debug faster, and eliminate time-consuming manual tasks. We are looking for experienced builders who want to help other builders maximize their productivity with these tools while influencing the future of developer productivity. As an Associate Developer Advocate on our Developer Productivity team, you will work directly with the teams building these tools while helping thousands of developers worldwide understand their practical applications. This highly visible role within AWS offers the opportunity to establish yourself as a recognized expert in AI-assisted development, with direct influence on the future of these tools through your content, community engagement, and product feedback. Key job responsibilities You will create comprehensive technical content showcasing AWS’s developer tools. Your work involves building in-depth video tutorials, live coding demonstrations, and detailed implementation guides that help developers integrate these tools into their daily workflows. You will focus on long-form technical content that shows complete problem-solving scenarios like modernizing legacy applications or building full-stack architectures. Your technical demonstrations will include building full applications, creating integration patterns for existing development environments, and showing practical workflows across multiple programming languages. You will develop content specifically for frontend developers, backend engineers, and full-stack teams, addressing the unique challenges each group faces when adopting AI-assisted development. Through hands-on coding and community engagement, you will identify gaps between developer needs and current tooling capabilities. You will work directly with engineering teams to influence product roadmaps based on real developer feedback, contribute to open source projects, and build guides that help developers achieve measurable productivity improvements. A day in the life Your day might start by reviewing community feedback on your latest Q Developer tutorial, then jump into building a live coding demo showing Java modernization techniques. You will spend time in developer forums and engage authentically in technical discussions where AI development tools naturally fit. You will collaborate with product teams on upcoming features, testing beta releases, or creating content that addresses real developer pain points you have discovered through community engagement. You might end the day preparing for a conference talk or writing a technical blog post that breaks down complex integration patterns into actionable steps. About the team We are developers who advocate for tools that help developers, focused on creating content that solves practical development challenges. Our mission is to demonstrate how AI-powered development tools integrate naturally into existing workflows while delivering measurable productivity improvements. We work directly with the developer community to understand real pain points and collaborate with product and engineering teams to improve developer experience by bringing community feedback into product development. Our approach emphasizes showing working code over abstract concepts, engaging as technical peers, and sharing authentic development experiences including challenges and failures. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++ - Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis Preferred Qualifications: - Experience implementing a cloud-based technology solution - Experience working in a customer-facing role - Ability to effectively articulate technical challenges and solutions - Public speaking and/or content creation experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $88,400/year in our lowest geographic market up to $192,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Associate Developer Advocate, Developer Productivity, DevEx at Amazon Web Services, Inc.. Skills: Developer Productivity, AI-assisted development, Technical content, Community engagement. Create technical content. Build video tutorials", "postedDate" : "2026-06-12T23:27:25.310", "createdAt" : "2026-06-12T23:27:25.310", "lastUpdated" : "2026-06-15T00:10:49.705", "ingestTimestamp" : "2026-06-12T23:27:25.310", "mongoId" : "69164daa70f0b99d586f345f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121748/apply", "salaryAnnualMin" : 88400, "salaryAnnualMax" : 192600, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Live coding", "Technical demonstrations", "Implementation guides", "Modernizing applications", "Building applications", "Creating integrations", "Showing workflows", "Content development", "Community feedback", "Technical discussions", "Testing beta releases", "Writing blog posts", "Breaking down patterns", "Public speaking", "Developer Productivity", "AI-assisted development", "Technical content", "Community engagement", "Developer productivity", "Technical content creation", "Product feedback", "Problem-solving scenarios", "Full-stack architectures", "Integration patterns", "Product roadmaps", "Developer experience", "Cloud platform", "Serverless products", "Kiro" ], "skillCount" : 29, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 950.78656, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69ce5df99bc74574cb671a54", "title" : "AI Developer", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Developer in Austin, TX, adjusted for government industry and full-time employment." }, "location" : "826631", "locations" : [ "826631", "
Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T22:56:59.191", "fingerprint" : "5f75133ba24aec7e4d1dcc96a85e398ff28a2d14c7101e16845098edb3ae68b8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33531", "externalId" : "33531", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Python, REST APIs, Gen AI SDKs, AWS, Google, Microsoft, Oracle", "professionalSkills" : [ "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis" ], "hardSkillsList" : [ "AI-driven applications", "AI-powered tools", "AI models" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "AI-driven applications", "level" : "intermediate" }, { "name" : "AI-powered tools", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "AI/ML, Java development, Software development", "majorSkillsList" : [ "AI/ML", "Java development", "Software development" ], "coreResponsibilities" : "Perform skilled software development work, Partner with AI Strategists to design AI tools, Develop in-house AI tools, Integrate in-house AI tools, Write clean code, Write maintainable code, Write efficient code in Java, Write efficient code in other languages, Develop REST APIs, Connect with REST APIs, Develop data pipelines, Connect with data pipelines, Develop enterprise systems, Connect with enterprise systems, Learn Gen AI SDKs, Utilize Gen AI SDKs, Learn cloud provider services, Utilize cloud provider services, Build solutions with Gen AI, Implement AI models, Fine-tune AI models, Ensure solutions adhere to agency policies, Ensure solutions adhere to data governance, Ensure solutions adhere to accessibility standards, Ensure solutions adhere to security standards, Contribute to software development lifecycle, Oversee programming projects, Analyze proposed applications, Design software solutions", "teamCollaboration" : "Partner with AI Strategists; Work as part of a team", "projectManagementSkills" : [ "Agile methodologies", "DevOps practices" ], "domainKnowledge" : "AI/ML space; Gen AI", "domainList" : [ "ai-ml-space", "gen-ai" ], "domainSpecificKnowledge" : [ "AI/ML space", "Gen AI" ], "toolProficiency" : [ "Gen AI SDKs" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Must be a Texas resident, Requires sponsorship for employment visa", "outcomesObjectives" : "Build next generation of AI-powered tools", "qualificationsBasic" : "Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Three or more years of full-time experience in software development, Background in Java development, Proficiency and hands-on professional experience in Java, Proficiency and hands-on professional experience in Python development, Experience with building and consuming REST APIs, Experience working with data pipelines, Proficiency in Gen AI prompting, Understanding prompt management techniques, Knowledge of Agile methodologies, Knowledge of DevOps practices, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Bachelor’s degree in computer science, engineering, or a related field, Desire to learn about AI/ML technologies, Apply AI/ML to real-world problems, Exposure to cloud AI platforms like AWS, Azure, GCP, or OCI, Experience working in or with public sector or government agencies", "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 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: A curious and collaborative developer with a strong foundation in Java development. You are excited by the opportunity to learn new technologies and apply your skills to build the next generation of AI-powered tools for public service. You communicate effectively and enjoy working as part of a team to bring innovative ideas to life. WHAT YOU WILL DO: In this role, you will partner closely with our AI Strategists to design, build, and implement new AI-driven applications and services. The ideal candidate is a strong developer eager to expand their skills into the AI/ML space. The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer programming work. Work involves overseeing programming projects, analyzing proposed applications and designing software solutions. This work is performed under minimal supervision, with opportunities for considerable latitude for the use of initiative and independent judgment while learning and growing in the role. YOU WILL BE TRUSTED TO: - Performs skilled software development work. - Partner with two AI Strategists to design, develop, and integrate in-house AI tools and solutions. - Write clean, maintainable, and efficient code in Java and other languages as needed. - Develop and connect with REST APIs, data pipelines, and enterprise systems. - Learn and utilize Gen AI SDKs and services from cloud providers (e.g., AWS, Google, Microsoft, Oracle) to build solutions. - Implement and fine-tune AI models developed in collaboration with the strategy team. - Ensure all solutions adhere to agency policies, data governance, accessibility and security standards. - Contribute to the full software development lifecycle, from initial concept to deployment and maintenance. YOU ARE A GREAT FIT WITH: - Bachelor’s degree in computer science, engineering, or a related field. - Three or more years of full-time experience in software development, with a strong background in Java. - Proficiency and hands-on professional experience in Java and Python development. - Experience with building and consuming REST APIs and working with data pipelines. - A strong desire to learn about AI/ML technologies and apply them to real-world problems. - Proficiency in Gen AI prompting and understanding prompt management techniques for improved outcomes. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. - Knowledge of Agile methodologies and DevOps practices. - Any exposure to cloud AI platforms like AWS, Azure, GCP, or OCI. - Experience working in or with public sector or government agencies. YOU QUALIFY WITH: -Programmer IV: Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Programmer V: Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace - An opportunity to help shape the future of AI in public service - Work on impactful projects that improve services for millions of Texans - Competitive starting salary: $7,000.00 - $9,500.00/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_InformationTechnology.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 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" : "AI Developer at Texas Workforce Commission. Skills: AI/ML, Java development, Software development. Perform skilled software development work. Partner with AI Strategists to design AI tools", "createdAt" : "2026-06-14T19:53:51.923", "lastUpdated" : "2026-06-15T22:56:59.191", "ingestTimestamp" : "2026-06-14T19:53:51.923", "mongoId" : "69ce5df99bc74574cb671a54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI-driven applications", "AI-powered tools", "AI models", "Curious", "AI/ML", "Java development", "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis", "Agile methodologies", "DevOps practices", "AI/ML space", "Gen AI", "Gen AI SDKs" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 948.2716, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fc45", "title" : "Software Development Manager", "company" : "ADCI HYD 13 SEZ", "industry" : "Software Development, selling partner services", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Software Development Manager in Hyderabad, India, adjusted for manager seniority, e-commerce industry, and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T05:00:21.191", "fingerprint" : "13ae8fbae6ca098221d9d2dee66cd3e15858d0fbbb08dd5752416d59532017b1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052346/apply", "externalId" : "f38bd00d-e5fa-4d79-92ac-ff9d666fbf35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "Open source technologies, Object-oriented design", "professionalSkills" : [ "Distributed systems", "Operational excellence", "Security" ], "majorSkills" : "Software development, Team management, Distributed systems", "majorSkillsList" : [ "Software development", "Team management", "Distributed systems" ], "coreResponsibilities" : "Lead teams of engineers, Create impact on systems, Create impact on business, Create impact on customers, Make design decisions, Develop long-term strategy, Translate strategy into roadmap, Build and manage teams, Design scalable systems, Deliver scalable systems, Justify resource needs, Justify budget needs", "teamCollaboration" : "Technical program managers; Product or program management teams; Senior leaders; Finance partners", "projectManagementSkills" : [ "Agile best practices", "Iterative development" ], "domainKnowledge" : "Seller registration; E-commerce industry", "domainList" : [ "seller-registration", "e-commerce-industry" ], "domainSpecificKnowledge" : [ "Seller registration", "E-commerce industry" ], "problemSolvingSkills" : "Creative solutions", "outcomesObjectives" : "Enable Marketplace growth; Build trust with Customers", "qualificationsBasic" : "7+ years of engineering experience, 3+ years of engineering team management experience, 8+ years of leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience partnering with product or program management teams", "qualificationsPreferred" : "Experience communicating with users, other technical teams, and senior leadership, Experience recruiting, hiring, mentoring/coaching and managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WW Customer Trust & Partner Support (CTPS) ensures that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products. Our mission is to build trust with our Customers and Selling Partners as we scale through technology, analytics, and science. We’re committed to service as a center of excellence for Amazon. As part of CTPS, Seller Registration owns variety of products which enables us to collect data from WW Sellers in order to let them sell on Amazon marketplace. Our mission is to: (a) make it simple and fast for Sellers to register globally, (b) verify the identity of every person and business selling on Amazon through the Seller lifecycle, and (c) use automation to achieve accuracy, speed, and scale. When we are successful, we enable Marketplace growth and build trust with our Customers. Registration Systems receive ~1.5M hits per week and strive towards providing a seamless experience that cannot be exploited by bad actors. As of today, sellers who intend to go global on Amazon need to register in each region and thus, go through the tedious registration process multiple times, which leads to friction for potential global sellers. We are looking for a Software Development Manager with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale. As part of leading a team of engineers, you will have the opportunity to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can reshape the e-commerce industry. We are seeking someone who has strong technical, project and people skills with a can-do attitude and a focus on delivering high quality software. We move at a fast pace and deliver software iteratively using AGILE best practices and the latest technologies. The Ideal Candidate: Must be technically credible to lead teams of world-class software engineers and technical program managers. Must be able to make the right design decisions related to product features and technology choices. Deep understanding of overall systems development life cycle including various methodologies (agile, waterfall, iterative) Experienced in developing the long-term strategy for the settlement platforms and translate that into an achievable roadmap Experienced in building and managing teams that design and deliver scalable and extensible distributed systems to address complex business challenges. Understands how to scope and justify resources and budget needs to senior leaders and finance partners Consistent focus on operational excellence and security of systems. Experience with open source technologies, object-oriented design, and agile development methodologies Basic Qualifications: - 7+ years of engineering experience - 3+ years of engineering team management experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager at ADCI HYD 13 SEZ. Skills: Software development, Team management, Distributed systems. Lead teams of engineers. Create impact on systems", "postedDate" : "2026-06-14T19:54:36.345", "createdAt" : "2026-06-14T19:54:36.345", "lastUpdated" : "2026-06-16T05:00:21.191", "ingestTimestamp" : "2026-06-14T19:54:36.345", "mongoId" : "68b706987fc9a711f0f6fc45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052346/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Team management", "Distributed systems", "Operational excellence", "Security", "Agile best practices", "Iterative development", "Seller registration", "E-commerce industry" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 941.6864, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f0df292fd229c054c25", "title" : "Product Manager, Search, AI-Native Product Development", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in Mountain View, CA, with adjustments for AI-native product development and manager experience." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T10:41:08.631", "fingerprint" : "ff99901db27532dc797645c4db15f67d498923217abf0d9496332ad28bdc7c3f", "source" : "google", "language" : "en", "externalId" : "109691201346511558", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story writing" ], "majorSkills" : "Product management, Search, AI-Native Product Development", "majorSkillsList" : [ "Product management", "Search", "AI-Native Product Development" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Search technology; AI-Native Product Development", "domainList" : [ "search-technology", "ai-native-product-development" ], "domainSpecificKnowledge" : [ "Search technology", "AI-Native Product Development" ], "qualificationsBasic" : "5+ years of experience in product management", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Manager, Search, AI-Native Product Development. Skills: Product management, Search, AI-Native Product Development. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-16T01:49:58.894", "createdAt" : "2026-06-16T01:49:58.894", "lastUpdated" : "2026-06-16T10:41:08.631", "ingestTimestamp" : "2026-06-16T01:49:58.894", "mongoId" : "6a307f0df292fd229c054c25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product management", "Search", "AI-Native Product Development", "Product strategy", "Roadmap development", "User story writing", "Search technology" ], "skillCount" : 7, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 928.58514, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753df292fd229c00d6d0", "title" : "Software Development Manager", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T14:41:24.176", "fingerprint" : "93a2c35390dc922e6398406af1e1ca6c7d386fad97c7a7283e087e7a9b90f52e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449396/apply", "externalId" : "7be0a49f-e68c-4354-8922-11b06c320509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, Java, C++, JavaScript, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, Microservices, REST APIs, Data structures, Algorithms, Machine learning, Data processing", "professionalSkills" : [ "System design", "Architecture design", "Technical leadership", "Team management", "Project management", "Agile methodologies", "Problem solving", "Strategic planning" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps", "Data engineering", "Security engineering", "AI/ML", "Distributed systems", "Microservices architecture", "API design", "Database management", "CI/CD implementation", "Agile development", "Test automation", "Performance tuning", "Scalability", "Reliability" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Security engineering", "level" : "intermediate" }, { "name" : "AI/ML", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Microservices architecture", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "CI/CD implementation", "level" : "intermediate" }, { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" } ], "majorSkills" : "Software development, Cloud platforms, Leadership, System design", "majorSkillsList" : [ "Software development", "Cloud platforms", "Leadership", "System design" ], "coreResponsibilities" : "Lead and mentor a team of software engineers, Design, develop, and deploy scalable software solutions, Oversee the entire software development lifecycle, Collaborate with product managers and stakeholders, Drive technical strategy and roadmap, Ensure code quality and best practices, Troubleshoot and resolve production issues, Manage cloud infrastructure and resources, Implement and maintain CI/CD pipelines, Contribute to architectural decisions, Foster a culture of innovation and continuous improvement, Manage project timelines and deliverables", "teamCollaboration" : "Cross-functional teams; Product management; Stakeholders; Engineering teams", "projectManagementSkills" : [ "Agile", "Scrum", "Roadmap planning", "Project execution" ], "domainKnowledge" : "Distributed systems; Cloud-native architecture; E-commerce platforms; Scalability; Reliability; Security best practices", "domainList" : [ "distributed-systems", "cloud-native-architecture", "e-commerce-platforms", "scalability", "reliability", "security-best-practices" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud-native architecture", "E-commerce platforms", "Scalability", "Reliability", "Security best practices" ], "toolProficiency" : [ "AWS", "Azure", "GCP", "Docker", "Kubernetes", "Jenkins", "Git", "JIRA" ], "communicationSkills" : "Technical presentations; Cross-functional communication", "documentationSkills" : "Technical documentation; Architecture diagrams", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "R&D; New technologies", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Deliver high-quality software on time; Improve system performance and reliability; Enhance team productivity and efficiency; Drive technical innovation", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 5+ years of experience in software development, 2+ years of experience in a leadership role, Experience with cloud platforms (AWS, Azure, GCP), Experience with CI/CD pipelines, Experience with distributed systems, Experience with data structures and algorithms", "qualificationsPreferred" : "Master's degree or PhD in Computer Science or related field, Experience with machine learning, Experience with large-scale data processing, Experience with security best practices, Experience with containerization technologies (Docker, Kubernetes)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. As part of the AWS Life Sciences organization, our mission is to help organizations unlock not just data, but human potential: accelerating research, enhancing quality of care, and ultimately improving lives with compassion, precision, and technological excellence. We believe that behind every data point is a human story. A patient's hope, a researcher's breakthrough, a life-changing discovery. We build services that empower life sciences organizations to translate insights into tangible improvements in human health and scientific understanding. The AWS HealthOmics Workflow Orchestration team owns the runtime engine that executes genomic workflows at massive scale. We manage the full lifecycle of workflow execution, including task queuing, scheduling to provisioned compute resources, container orchestration, and connectivity management, enabling biopharmaceutical companies and research institutions to process clinical diagnostic and R&D workloads on AWS. When a clinician orders a genomic test for cancer detection or hereditary disease screening, our infrastructure ensures those results are delivered accurately and on time. We are seeking a Software Development Manager who is passionate about applying AWS compute infrastructure to solve real-world bioinformatics challenges. Our service has experienced triple-digit growth for multiple years, and we need leaders who can drive down execution time while scaling to meet rapidly increasing customer demand. If you thrive at the intersection of distributed systems, infrastructure at scale, and life sciences, and want to lead a team delivering technology that directly impacts patient care decisions, this is the place for you. Key job responsibilities As a Software Development Manager (SDM) in AWS HealthOmics, you'll lead a team of 12 software engineers building and operating the orchestration layer that powers genomic workflow execution across AWS compute infrastructure. You will own the systems that schedule bioinformatics tasks to EC2 resources, manage container lifecycles, and ensure workflow resiliency at scale, all while meeting the stringent security and compliance requirements of a HIPAA-eligible service handling sensitive patient genomic data. You will drive the technical strategy for scaling our orchestration infrastructure, reducing workflow execution overhead, and extending batch and connectivity capabilities for enterprise customers. You'll partner closely with infrastructure, product, and science teams, and engage directly with customers to understand their workflows and translate their needs into large product improvements that deliver measurable impact. You should be comfortable leading through ambiguity, making data-driven architectural decisions, and balancing the competing demands of scaling infrastructure, operational health, and new feature delivery. The ideal candidate has experience managing teams that build and operate distributed systems at scale, ideally involving compute orchestration, container management, or workflow scheduling. You bring clarity to ambiguous problems, foster a culture of operational rigor, and believe that proactive investment in reliability and developer productivity compounds over time. Experience in life sciences or bioinformatics is a plus, but a deep interest in the domain and a track record of delivering infrastructure services on AWS is what matters most. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience with bioinformatics workflow languages and execution frameworks (e.g., Nextflow, WDL, CWL) and familiarity with production genomics pipeline orchestration, including containerized task execution, dataflow-driven scheduling, and reproducible workflow portability across compute environments. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Manager at Amazon.com Services LLC. Skills: Software development, Cloud platforms, Leadership, System design. Lead and mentor a team of software engineers. 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- 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. 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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. 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San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Go, Python, TypeScript, LLMs, Agents, Infrastructure-as-Code, Terraform, Pulumi, Observability", "professionalSkills" : [ "System design", "Platform operations", "Developer experience", "Agent reliability", "AI-assisted operations" ], "hardSkillsList" : [ "Agentic workflows", "Automated workflows", "CI/CD", "Observability", "Alerting", "Incident response", "Internal developer platform", "Infrastructure-as-Code", "System health" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "Automated workflows", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Internal developer platform", "level" : "intermediate" }, { "name" : "Infrastructure-as-Code", "level" : "intermediate" }, { "name" : "System health", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Agentic Productivity, Infrastructure, Developer Tooling, Automation", "majorSkillsList" : [ "Agentic Productivity", "Infrastructure", "Developer Tooling", "Automation" ], "coreResponsibilities" : "Streamline build-and-ship loop, Design internal systems, Design agents, Accelerate code writing, Accelerate code review, Accelerate code testing, Accelerate code shipping, Automate platform operations, Build systems to keep platform healthy, Build CI/CD, Build observability, Build alerting, Build agent-assisted monitoring, Build agent-assisted incident response, Improve internal developer platform, Create paved roads, Create tooling, Create environments, Seek leverage, Identify automation payoff, Identify agent payoff, Prototype quickly, Measure impact on velocity, Measure impact on reliability, Elevate the team, Establish internal tooling patterns, Establish libraries, Establish standards, Mentor engineers, Recruit engineers", "teamCollaboration" : "Partner with CTO; Partner with engineering leadership; Engineering teammates; Cross-functional teams", "projectManagementSkills" : [ "Prototype quickly", "Measure impact" ], "domainKnowledge" : "Mortgage lending; AI underwriting; SDLC automation; Agentic developer tooling; Internal automation", "domainList" : [ "mortgage-lending", "ai-underwriting", "sdlc-automation", "agentic-developer-tooling", "internal-automation" ], "domainSpecificKnowledge" : [ "Mortgage lending", "AI underwriting", "SDLC automation", "Agentic developer tooling", "Internal automation" ], "toolProficiency" : [ "Terraform", "Pulumi" ], "communicationSkills" : "Communicate clearly", "continuousLearning" : "Continuous learning; Continuous improvement; Learning support; Professional development", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Difficult systems problems", "outcomesObjectives" : "Make SDLC radically automated; Make platform operations radically automated; Ship and operate more than headcount suggests; Accelerate how we write code; Accelerate how we review code; Accelerate how we test code; Accelerate how we ship code; Turn manual toil into automated workflows; Keep platform healthy with less human effort; Let every engineer ship faster; Let every engineer ship safer; Make agentic workflows reliable; Make agentic workflows repeatable; Move team's velocity", "qualificationsBasic" : "Experience building developer tooling, Experience building internal platforms, Experience building CI/CD, Experience building DevOps/SRE systems, Hands-on experience building with LLMs, Hands-on experience building with agents, Comfort with infrastructure, Comfort with operations, Track record of leading technical surface end-to-end", "qualificationsPreferred" : "Proficiency in Go, Proficiency in Python, Proficiency in TypeScript, Conviction and curiosity about applying LLMs to engineering workflows, Conviction and curiosity about applying agents to engineering workflows, Experience with Infrastructure-as-Code, Experience with Terraform, Experience with Pulumi, Experience with observability, Experience with practices that keep systems healthy under load, Built agentic developer tooling, Built internal automation that measurably moved team's velocity", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "STAFF ENGINEER, AGENTIC PRODUCTIVITY & INFRASTRUCTURE Location: San Francisco - hybrid, in-office two days a week Compensation: Competitive base + leadership-level equity MAKE OUR ENGINEERING ORG AS AGENTIC AS OUR PRODUCT AI is transforming mortgage lending - and it’s transforming how software gets built. We build AI agents for our customers; we should be just as aggressive about using agents to build and operate HomeVision itself. The opportunity is to make our own software development lifecycle and platform operations radically more automated and agentic, so our small team can ship and operate far more than our headcount would suggest. WHO WE ARE HomeVision is the AI underwriting platform for the $13 trillion U.S. mortgage industry. Our platform, MIRA, has already automated more than two million appraisal reviews for many of the country’s largest lenders and appraisal management companies, reducing review time by 75% and doubling underwriter productivity. Now we’re expanding beyond appraisal review to cover the full underwriting workflow - income, assets, credit, collateral, and loan file decisioning - to create the first end-to-end AI underwriting platform for the industry. MIRA’s been adopted by dozens of real enterprise customers with contracted production demand, including Newrez, the fourth-largest mortgage lender in the U.S. and a strategic investor in HomeVision, alongside our venture backers, Initialized Capital and NVP Capital. We’re looking for a staff-level engineer to own internal infrastructure and agentic productivity - the tools, systems, and agents that make our SDLC and platform maintenance faster, safer, and more automated. This is a force-multiplier role for the entire engineering org. You’ll partner directly with our CTO and engineering leadership to decide where agents and automation create the most leverage, and then build it. WHAT YOU’LL DO - Streamline the build-and-ship loop. Design internal systems and agents that accelerate how we write, review, test, and ship code - turning manual engineering toil into automated, agent-assisted workflows. - Automate platform operations. Build the systems that keep the platform healthy with less human effort - CI/CD, observability, alerting, and agent-assisted monitoring and incident response. - Continually improve our internal developer platform. Create the paved roads, tooling, and environments that let every engineer ship faster and more safely, and that make our agentic workflows reliable and repeatable. - Seek leverage. Identify where automation and agents pay off most across the engineering org, prototype quickly, and measure the impact on velocity and reliability. - Elevate the team. Establish the internal tooling patterns, libraries, and standards the rest of the team builds against. Mentor and recruit the engineers who’ll work alongside you. WHO YOU ARE - You’re deeply customer-focused. But in this case, your “customers” are your engineering teammates. You care about their workflows and the outcomes your tools produce, and you measure success by how much faster and safer the org ships. - You’re a builder at heart. You’ve shipped meaningful systems used by real people. You likely have side projects, strong opinions about technology, and genuine curiosity about where AI is heading. You are a creator. - You operate with urgency and ownership. You move quickly without sacrificing reliability or trust. You proactively identify problems, communicate clearly, and drive solutions. - You elevate the people around you. You bring strong engineering judgment, high standards, and collaborative energy. Teams become stronger when you’re involved. - You’re excited by difficult systems problems. Developer experience, automation, agent reliability, observability, and AI-assisted operations genuinely interest you. WHAT YOU’LL BRING ON THE TECHNICAL SIDE - Strong proficiency in Go, Python, and/or TypeScript is a bonus, but we trust that great engineers can learn on the job. - Experience building developer tooling, internal platforms, CI/CD, or DevOps/SRE systems in production. - Hands-on experience building with LLMs or agents - or strong conviction and curiosity about applying them to engineering workflows. - Comfort with infrastructure and operations - Infrastructure-as-Code (Terraform/Pulumi), observability, and the practices that keep systems healthy under load. - A track record of leading a technical surface end-to-end. Bonus if you’ve built agentic developer tooling or internal automation that measurably moved a team’s velocity. HOW WE WORK We’re a hybrid team headquartered in San Francisco, with team concentrations in Seattle and Argentina, with other great team members in parts of the U.S. Our values are the ones we actually use: - Start with questions, not answers. - Run at problems - make your footprint bigger than your foot. - Continuous learning, continuous improvement. - Be transparent and collaborative. - Value time. - Play to win, win for everyone. - Always do the loving thing. We’re growing the engineering team meaningfully over the next twelve months and this role will have a direct hand in shaping who that team becomes. COMPENSATION AND BENEFITS - Competitive compensation calibrated to senior/principal-level engineers in San Francisco - Meaningful equity ownership - Full medical, dental, and vision coverage - 401(k) with company match - Flexible vacation policy - Parental leave - Learning and professional development support HOW TO APPLY Send a note, a résumé, and (ideally) links to things you’ve built. GitHub, side projects, products you’ve shipped - whatever lets us see how you think and build. We’re thoughtful and deliberate about who joins the team, but we move quickly when we find the right person.", "summaryDescription" : "Staff Engineer, Agentic Productivity and Infrastructure at HomeVision. Skills: Agentic Productivity, Infrastructure, Developer Tooling, Automation. Streamline build-and-ship loop. Design internal systems", "createdAt" : "2026-06-16T00:27:52.410", "lastUpdated" : "2026-06-16T11:10:12.948", "ingestTimestamp" : "2026-06-16T00:27:52.410", "mongoId" : "6a305951f292fd229cf46ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Agentic workflows", "Automated workflows", "CI/CD", "Observability", "Alerting", "Incident response", "Internal developer platform", "Infrastructure-as-Code", "System health", "Leadership", "Mentoring", "Agentic Productivity", "Infrastructure", "Developer Tooling", "Automation", "System design", "Platform operations", "Developer experience", "Agent reliability", "AI-assisted operations", "Prototype quickly", "Measure impact", "Mortgage lending", "AI underwriting", "SDLC automation", "Agentic developer tooling", "Internal automation", "Terraform", "Pulumi" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 905.71893, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7e8874d8ee00a0952c97", "title" : "Software Developer Manager", "company" : "Lotlinx", "salary" : { "min" : 135000.0, "max" : 150000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hamilton, Ontario, Canada", "locations" : [ "Hamilton", "Ontario", "Canada", "Winnipeg", "Manitoba", "Canada" ], "timestamp" : "2026-06-16T01:52:59.632", "fingerprint" : "ddcbef82edd11a26a534b05e39c0c02f0e6f2f076c73a428a9c29cc038508b9f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lotlinx/jobs/4663215006", "externalId" : "4663215006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamilton", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.2560802,-79.8728583" } ], "locationText" : "Hamilton, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "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. Team Summary We are expanding beyond our current suite of data-driven products, moving from powerful chatbots to a comprehensive, Agentic AI approach that will be leveraged in every aspect of our business. The AI Platform team is the backbone of this transformation. This team of five talented, multi-disciplinary engineers builds and maintains the core infrastructure and services that all our AI/ML initiatives depend on. We are seeking a dedicated leader to manage, mentor, and develop this critical team. Role Summary This is a hybrid leadership role, not a pure \"hands-off\" manager position. We're looking for a player/coach who will split their time between 60% people leadership you'll lead the core team that is building its AI-driven future. Solve Novel Problems: This isn't a maintenance role. You'll be building cutting-edge AI systems on a modern stack. Make an Impact: Work with a unique, 15-year proprietary dataset to build products that provide clear value to our clients. Stay Technical: This role is designed for a leader who loves technology and wants to stay hands-on, guiding architecture and mentoring engineers directly. The salary range for this position is $135,000 - $150,000 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" : "Software Developer Manager at Lotlinx", "postedDate" : "2026-06-14T19:20:00.663", "createdAt" : "2026-06-14T19:20:00.663", "lastUpdated" : "2026-06-16T01:52:59.632", "ingestTimestamp" : "2026-06-14T19:20:00.663", "mongoId" : "6a2c7e8874d8ee00a0952c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 899.5053, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c60e", "title" : "Software Development Manager", "company" : "Amazon Development Center", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Manager in Haifa, Israel, adjusted for manager seniority and company size in the technology industry." }, "location" : "Haifa, HA, ISR", "locations" : [ "Haifa, HA, ISR" ], "timestamp" : "2026-06-15T08:28:00.160", "fingerprint" : "85403807e61f1327ed28eaf70a9438fd744d2529e4c299b6df59fce39eb8d672", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077629/apply", "externalId" : "d0446e54-bfd3-40fa-9677-d2380e8e1cd6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Haifa", "state" : "Haifa", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.8191218,34.9983856" } ], "locationText" : "Haifa, Haifa, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Generative AI, AI", "professionalSkills" : [ "Product development", "Technical design", "Project planning", "Partner management", "Career development" ], "hardSkillsList" : [ "Software development", "Livesite operations", "Hiring", "Mentoring", "Coaching" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Livesite operations", "level" : "intermediate" }, { "name" : "Hiring", "level" : "intermediate" }, { "name" : "Mentoring", "level" : "intermediate" }, { "name" : "Coaching", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Software development, Team management", "majorSkillsList" : [ "Generative AI", "Software development", "Team management" ], "coreResponsibilities" : "Lead development team, Define product vision, Drive product vision, Execute product vision, Invent software, Ship software, Develop team, Lead development life cycle, Manage complex projects, Coordinate technical design, Develop technical approach, Assure designs meet requirements, Deliver high-quality work, Prioritize projects, Plan features, Manage partners, Track commitments, Monitor production services, Ensure Operational Excellence, Foster career development", "teamCollaboration" : "Applied scientists; Product managers; Technical specialists; Principals", "projectManagementSkills" : [ "Project planning" ], "domainKnowledge" : "Generative AI; AI application", "domainList" : [ "generative-ai", "ai-application" ], "domainSpecificKnowledge" : [ "Generative AI", "AI application" ], "communicationSkills" : "Collecting requirements; Describing features; Product strategy", "innovationCreativity" : "Creative problem-solvers", "problemSolvingSkills" : "Complex technical challenges", "outcomesObjectives" : "Deliver business value", "qualificationsBasic" : "3+ years engineering management, 7+ years engineering experience, Knowledge of engineering practices, Experience partnering with product management, Experience communicating with users, Experience recruiting and hiring engineers", "qualificationsPreferred" : "Leading definition and development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come shape the future with us! As a major cloud provider, our technology powers many of the world's largest organizations. We are now building a new and exciting Generative AI application that will transform how enterprises operate. You will have the exciting opportunity to be on the ground floor of developing this cutting-edge product. We are seeking creative problem-solvers who are energized by tackling complex technical challenges to push the boundaries of what's possible with AI. Our team collaborates closely across roles to rapidly build, test and iterate as we create an AI solution that delivers real business value. Join our innovative team to leave your mark on the next generation of AI. Key job responsibilities As a Software Development Manager, you'll lead an elite team of development engineers to define, drive and execute on our product vision. You will invent and ship software that directly impacts our end customer experience. You'll develop your team of highly motivated and talented builders who can collaborate with applied scientists, product managers, technical specialists, and principals across the company. Responsibilities - You'll lead the overall development life cycle of software solutions and manage complex projects with significant impact. - Coordinate with your senior engineers to develop the best technical design and approach for product development. - Assure that your team's designs meet requirements, and deliver high-quality work on tight schedules. - Prioritize, plan projects and features, manage partners, and track external commitments. - Monitor operation of production services to ensure Operational Excellence. - Foster the career development of your direct reports. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product and program management teams - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Preferred Qualifications: - Experience in leading the definition and development of multi tier web services Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager at Amazon Development Center. Skills: Generative AI, Software development, Team management. Lead development team. 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Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. Come help us define and deliver an exciting confidential new Amazon Ads program! We are looking for an engineering leader for a confidential new advertising program that will have significant strategic impact to the Amazon Ads business. You will work backwards from customers, collaborate with technical teams across Amazon Ads to design and implement solutions, and deeply analyze the results. You will also evangelize new features and communicate technical priorities to senior leadership. You will deal with some of the toughest and most inspiring challenges of your career as you invent a new value proposition, real time systems and big data paradigms, and scale for growth. We are looking to hire for this role in NYC. About the team About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team: The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience with AI/ML technologies Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Manager III, Software Development, Sponsored Products at Amazon.com LLC. Skills: Generative AI, Ad tech, System design. Define and deliver new program. 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Manchester, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Rust, Go, Nix, NixOS, Docker, GitHub Actions", "professionalSkills" : [ "Technical strategy", "Infrastructure architecture", "System design" ], "hardSkillsList" : [ "Build systems", "CI/CD pipelines", "Developer tooling", "Container orchestration", "Package management", "Dependency systems", "Merge queue management" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Build systems", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Developer tooling", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Package management", "level" : "intermediate" }, { "name" : "Dependency systems", "level" : "intermediate" }, { "name" : "Merge queue management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Developer Productivity, Infrastructure, Distributed Systems", "majorSkillsList" : [ "Developer Productivity", "Infrastructure", "Distributed Systems" ], "coreResponsibilities" : "Own technical strategy, Define infrastructure architecture, Design scalable infrastructure, Build scalable infrastructure, Evolve build environments, Evolve package management, Evolve dependency systems, Define language ecosystem standards, Implement language ecosystem standards, Define tooling frameworks, Implement tooling frameworks", "teamCollaboration" : "Supporting internal partners; Working through others", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Developer productivity; Large monorepo; Distributed infrastructure; High-volume workloads; Reproducible builds; Research workloads; Production workloads; Software development lifecycle; Infrastructure at scale", "domainList" : [ "developer-productivity", "large-monorepo", "distributed-infrastructure", "high-volume-workloads", "reproducible-builds", "research-workloads", "production-workloads", "software-development-lifecycle", "infrastructure-at-scale" ], "domainSpecificKnowledge" : [ "Developer productivity", "Large monorepo", "Distributed infrastructure", "High-volume workloads", "Reproducible builds", "Research workloads", "Production workloads", "Software development lifecycle", "Infrastructure at scale" ], "toolProficiency" : [ "Buildkite", "Jenkins", "GitHub Actions", "Bazel", "Nix", "Docker" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Solving hardest problems", "qualificationsBasic" : "15+ years Software Engineer experience, 3+ years tech lead experience, Bachelor's degree or equivalent experience, Experience with CI orchestration tools, Experience building remote build execution systems, Experience with Nix/NixOS/Docker, Experience building CLI tools, Experience building developer-facing services, Experience with GitHub API automation", "qualificationsPreferred" : "Experience with Bazel Remote Execution API, Experience with BuildBarn, Experience with BuildBuddy", "remoteFriendly" : false, "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 Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads You may be a good fit if you: Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment Have strong proficiency in Python, Rust and/or Go Are obsessed with developer productivity and reducing friction in the software development lifecycle Have experience with container orchestration and infrastructure at scale Have excellent communication skills and enjoy supporting internal partners to improve their development experience Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar) Experience with Nix/NixOS/Docker and managing large image / package sets at scale Experience building CLI tools, developer-facing services, and GitHub API and automation workflows Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: £325,000—£390,000 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" : "Staff+ Software Engineer, Developer Productivity at Anthropic. Skills: Developer Productivity, Infrastructure, Distributed Systems. Own technical strategy. Define infrastructure architecture", "postedDate" : "2026-06-11T21:47:21.956", "createdAt" : "2026-06-11T21:47:21.956", "lastUpdated" : "2026-06-14T20:34:08.533", "ingestTimestamp" : "2026-06-11T21:47:21.956", "mongoId" : "6a2ab40974d8ee00a06d7f9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Build systems", "CI/CD pipelines", "Developer tooling", "Container orchestration", "Package management", "Dependency systems", "Merge queue management", "Communication skills", "Developer Productivity", "Infrastructure", "Distributed Systems", "Technical strategy", "Infrastructure architecture", "System design", "Roadmap planning", "Developer productivity", "Large monorepo", "Distributed infrastructure", "High-volume workloads", "Reproducible builds", "Research workloads", "Production workloads", "Software development lifecycle", "Infrastructure at scale", "Buildkite", "Jenkins", "GitHub Actions", "Bazel", "Nix", "Docker" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering---infrastructure", "dataQualityScore" : 0.8888889, "_score" : 887.57965, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a21770274d8ee00a0c1b873", "title" : "Software Development Engineer, Network Product Development", "company" : "Amazon Data Services, Inc.", "industry" : "Hardware Development, Software Development, Cloud Computing", "salary" : { "min" : 165000.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T07:49:52.377", "fingerprint" : "5074454b144c8d0383036067f1d3fe7216a609d9c46000cb20282f42931d64ac", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435991/apply", "externalId" : "12941552-2434-45cd-b6e1-e581e8dc8d8d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, ML, Data infrastructure, Distributed systems, Automation", "professionalSkills" : [ "System design", "Problem solving", "Troubleshooting" ], "hardSkillsList" : [ "Network interconnects", "Optical transceivers", "Fiber connectivity", "Telemetry data", "Link testing", "Failure prediction" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Network interconnects", "level" : "intermediate" }, { "name" : "Optical transceivers", "level" : "intermediate" }, { "name" : "Fiber connectivity", "level" : "intermediate" }, { "name" : "Telemetry data", "level" : "intermediate" }, { "name" : "Link testing", "level" : "intermediate" }, { "name" : "Failure prediction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Network product development, Software development, Data infrastructure", "majorSkillsList" : [ "Network product development", "Software development", "Data infrastructure" ], "coreResponsibilities" : "Design software systems, Develop software systems, Deploy software systems, Operate software systems, Monitor interconnect products, Qualify interconnect products, Manage interconnect products, Develop automated test frameworks, Maintain automated test frameworks, Build data ingestion systems, Build data processing systems, Build data storage systems, Design distributed systems, Orchestrate link-level testing, Orchestrate link validation, Orchestrate link troubleshooting, Build ML model serving infrastructure, Operationalize ML models, Clarify requirements, Deliver system-level solutions, Participate in on-call rotation, Lead troubleshooting of production issues, Drive resolution for fleet events, Automate team operations processes, Simplify team operations processes, Produce high-quality code, Mentor newer team members, Raise engineering bar, Communicate technical work, Document system architecture, Document system operations, Collaborate across team boundaries, Deliver features in services", "teamCollaboration" : "Cross-functional teams; Sister teams; Across team boundaries", "projectManagementSkills" : [ "System-level solutions" ], "domainKnowledge" : "Cloud network; Network interconnects; Optical transceivers; Fiber connectivity; Distributed systems; ML model serving; Fleet performance; Network availability", "domainList" : [ "cloud-network", "network-interconnects", "optical-transceivers", "fiber-connectivity", "distributed-systems", "ml-model-serving", "fleet-performance", "network-availability" ], "domainSpecificKnowledge" : [ "Cloud network", "Network interconnects", "Optical transceivers", "Fiber connectivity", "Distributed systems", "ML model serving", "Fleet performance", "Network availability" ], "toolProficiency" : [ "Version control tools" ], "communicationSkills" : "Communicate technical work; Document system architecture; Document system operations", "documentationSkills" : "Document system architecture; Document system operations", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Navigate ambiguity; Troubleshooting; Root cause analysis", "specialRequirements" : "On-call rotation", "outcomesObjectives" : "Keep AWS network running; Optimize fleet performance; Predict failures; Improve service resilience; Improve service performance; Delight AWS customers", "qualificationsBasic" : "Software engineering skills, Navigate ambiguity, Build scalable systems, Build reliable systems, Operate software systems, Develop automated test frameworks, Build data ingestion systems, Build data processing systems, Build data storage systems, Design distributed systems, Deliver system-level solutions, Troubleshoot production issues, Automate team operations, Simplify team operations, Produce well-tested code, Participate in code reviews, Communicate technical work, Document system architecture, Document system operations", "qualificationsPreferred" : "ML model delivery experience, Experience managing network, Experience with automation tools, Experience with version control tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you like building software systems that power the world's largest cloud network? Would you like to play a key role in developing the tools, automation, and data infrastructure that keep AWS network interconnects running at peak performance? AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Core Networking team is looking for a Software Development Engineer II to join our Network Product Development (NPD) Interconnects Tools and Metrics (TMX) organization. In this role, you will design, develop, and operate the software systems that enable the NPD Interconnects team to monitor, qualify, and manage interconnect products across the AWS fleet. You will build and maintain tooling, automation, and data infrastructure across test infrastructure, observability and analytics, distributed systems for link operations, and ML model delivery. This role requires strong software engineering skills, the ability to navigate ambiguity across multiple technical domains, and a passion for building scalable, reliable systems that directly impact network availability for AWS customers. Key job responsibilities - Design, develop, deploy, and operate software systems that enable the NPD Interconnects team to monitor, qualify, and manage interconnect products across the AWS fleet - Develop and maintain automated test frameworks and tooling that enable product engineers to validate optical transceivers and fiber connectivity products, scaling test infrastructure to support increasing qualification demands - Build and maintain data ingestion, processing, and storage systems for optics and fiber telemetry data, enabling product owners to conduct fleet-wide analysis through self-service tooling and dashboards - Design and deliver distributed systems that orchestrate link-level testing, validation, and troubleshooting workflows across AWS regions, ensuring resilience and scalability - Collaborate with Applied Scientists to build ML/science model serving infrastructure, operationalizing models that optimize fleet performance and predict failures - Independently clarify requirements and deliver system-level solutions for technically complex or operationally ambiguous problems, with guidance from senior engineers on architectural direction - Participate in on-call rotation, lead troubleshooting of production issues, and drive resolution for both individual and large-scale fleet events - Automate and simplify team operations processes, improving service resilience and performance - Produce high-quality, well-tested code, actively participate in code reviews, and mentor newer team members to raise the engineering bar - Communicate effectively about technical work, document system architecture and operations, and collaborate across team boundaries to deliver features in services owned by other organizations A day in the life On an everyday basis as part of our team, you have the unique opportunity to understand the growing AWS network and our internal customers’ requirement on interconnect solutions. You'll work backwards to devise hardware solutions by influencing the broad industry and/or to develop software tools with sister teams to maintain a highly available network that delights AWS customers. You design and implement processes and mechanisms that both help the team to deliver business impact to the organization in a systemic way, while also helping to raise the bar on our operational excellence. Operating at the scale we do, there is no blueprint for how to do what we do, which encourages our engineers to identify and develop simple solutions to complex problems. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. We work closely with our internal partners that design, build and operate the network to ensure that our solutions meet their needs and exceed their expectations. About the team Within AWS Networking the NPD (Network Product Development) organization is responsible for, designing the hardware, building the software, and owning the interconnects for the routers that power the global AWS network. Beyond product delivery we actively manage the fleet or routers in a network that grows by 70% annually. This means tracking key business and operational metrics to ensure that we operate smoothly and minimize or eliminate customer impact due to device related issues for a transparent AWS customer experience. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building data pipelines or automated ETL processes - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience managing and deploying ML products - Experience in managing and troublshooting network, or experience with automation and any version control tools and experience in networking administration and troubleshooting - Experience working cross-functionally with tech and non-tech teams, including operations - Knowledge of network cabling, optic types, and test equipment - Master's degree in Computer Science, Computer Engineering, or related fields Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually", "summaryDescription" : "Software Development Engineer, Network Product Development at Amazon Data Services, Inc.. Skills: Network product development, Software development, Data infrastructure. Design software systems. Develop software systems", "postedDate" : "2026-06-14T01:28:02.662", "createdAt" : "2026-06-14T01:28:02.662", "lastUpdated" : "2026-06-15T07:49:52.377", "ingestTimestamp" : "2026-06-14T01:28:02.662", "mongoId" : "6a21770274d8ee00a0c1b873", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435991/apply", "salaryAnnualMin" : 165000, "salaryAnnualMax" : 223600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Network interconnects", "Optical transceivers", "Fiber connectivity", "Telemetry data", "Link testing", "Failure prediction", "Mentoring", "Network product development", "Software development", "Data infrastructure", "System design", "Problem solving", "Troubleshooting", "System-level solutions", "Cloud network", "Distributed systems", "ML model serving", "Fleet performance", "Network availability", "Version control tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 874.87134, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307648f292fd229c017e05", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T11:00:41.431", "fingerprint" : "7776cbcabe36d38c735487b20ea8c73c80210979e9188458907bba20d0583fa0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000307004", "externalId" : "6000307004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET Core, MongoDB, PostgreSQL, AWS, Elasticsearch, ELK, Prometheus, Grafana", "professionalSkills" : [ "System design", "Code review" ], "hardSkillsList" : [ "Database concurrency", "Test coverage" ], "softSkillsList" : [ "Determination" ], "hardSkills" : [ { "name" : "Database concurrency", "level" : "intermediate" }, { "name" : "Test coverage", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Determination" } ], "majorSkills" : "NET Core, Database concurrency, System design", "majorSkillsList" : [ "NET Core", "Database concurrency", "System design" ], "coreResponsibilities" : "Maintain existing functionality, Improve existing functionality, Develop new application parts, Design application parts, Refactor application parts, Fix bugs, Write tests, Review code, Share knowledge with the team", "teamCollaboration" : "Global team; Cross-functional teams", "projectManagementSkills" : [ "Startup environment" ], "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Language AI platform", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "language-ai-platform" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform" ], "toolProficiency" : [ "MongoDB", "PostgreSQL", "AWS", "Elasticsearch", "ELK", "Prometheus", "Grafana" ], "communicationSkills" : "Written communication; Spoken communication", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Intense startup environment", "outcomesObjectives" : "Deliver value for customers; Improve stability; Improve observability", "qualificationsBasic" : "5+ years of experience in .NET development, 5+ years of test coverage, Knowledge of OOP principles, Knowledge of design patterns, Experience with Database concurrency, Upper-Intermediate English", "qualificationsPreferred" : "Experience with AWS, Experience with Elasticsearch, Experience with ELK, Experience with Prometheus, Experience with Grafana", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Senior Backend Developer Mission: Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements 5+ years of experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: NET Core, Database concurrency, System design. Maintain existing functionality. 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Product management; Engineering teams", "projectManagementSkills" : [ "Agile", "Scrum", "Roadmap planning" ], "domainKnowledge" : "Large-scale distributed systems; Cloud-native architecture; AI/ML principles; Data engineering concepts", "domainList" : [ "large-scale-distributed-systems", "cloud-native-architecture", "ai-ml-principles", "data-engineering-concepts" ], "domainSpecificKnowledge" : [ "Large-scale distributed systems", "Cloud-native architecture", "AI/ML principles", "Data engineering concepts" ], "toolProficiency" : [ "AWS", "GCP", "Azure", "Docker", "Kubernetes", "Jenkins", "Git" ], "communicationSkills" : "Technical presentations; Stakeholder communication", "documentationSkills" : "Technical documentation; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 5+ years of experience in software development, 2+ years of experience in people management, Experience with cloud computing platforms, Experience with large-scale distributed systems", "qualificationsPreferred" : "Master's degree or PhD in Computer Science or related field, Experience with machine learning or AI, Experience with data pipelines and ETL processes, Experience with CI/CD and DevOps practices", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join our advertising technology team and lead the engineering efforts behind self-service performance advertising products that drive discovery and sales across Amazon's Retail and Marketplace businesses. As a Software Development Manager, you'll assemble and mentor a team of engineers to solve complex technical and business challenges while owning the evolution of systems serving millions of advertisers. You'll work in a collaborative environment where you can think strategically, move quickly, and directly influence how customers leverage data to achieve business success. Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Key job responsibilities - Assemble and lead an engineering team to solve challenging technical and business problems, while fostering a collaborative environment where team members can grow and contribute meaningfully - Own the day-to-day maintenance and evolution of analytics systems and platforms that serve our advertiser base, ensuring reliability, scalability, and continuous improvement - Partner with cross-functional stakeholders including product, finance, data science, and business intelligence teams to understand requirements, scope technical solutions, and prioritize work - Make data-driven decisions by analyzing system performance, user feedback, and business metrics to inform recommendations for product and operational improvements - Communicate clearly and persuasively with engineers, peers, and leadership through written documentation, presentations, and discussions to align on strategy and drive execution A day in the life As a Software Development Manager, you will assemble and lead a team of engineers to solve challenging technical and business problems. You are a customer-obsessed technical leader with sharp business acumen and a track record of building and growing engineering teams. You ship software and own the day-to-day maintenance and evolution of systems that serve the needs of our large and growing base of advertisers. We are looking for a leader who can thrive in a startup environment, thinks big, can move fast, and wants to change the way customers use data to drive business success. If you are passionate about creating the future, come join us as we work hard, have fun, and make history. About the team Analytics and Data Management owns delivering Spektr: “always-on analytics” platform for SSPA needs that is fully scalable and reliable. We're building world-class advertising products that are strategically important to Amazon's long-term growth, mining billions of ad impressions and millions of clicks daily. Our team is collaborative and motivated, with a shared commitment to innovation and customer obsession. We work across multiple organizations—partnering with leadership, finance, economists, machine learning scientists, and business intelligence teams—to deliver solutions that matter. We value people who can think big, move fast, and take ownership of their work. Joining us means becoming part of a group that's breaking fresh ground in advertising technology while maintaining the reliability and scale our customers depend on. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Knowledge of big data businesses and technical concepts Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Manager, Ads AI Core Services at Amazon.com Services LLC. Skills: Software Development, People Management, Cloud Computing, AI/ML. Manage and mentor a team of software engineers. 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"Cloud architecture", "SOA", "Mobile development", "Performance optimization", "Database design", "Streaming systems", "Real-time data pipelines", "Event-driven architectures" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "LLM deployment", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "SOA", "level" : "intermediate" }, { "name" : "Mobile development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Streaming systems", "level" : "intermediate" }, { "name" : "Real-time data pipelines", "level" : "intermediate" }, { "name" : "Event-driven architectures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Distributed systems, AI runtime, Agent platform, Production services", "majorSkillsList" : [ "Distributed systems", "AI runtime", "Agent platform", "Production services" ], "coreResponsibilities" : "Design production systems, Build production systems, Operate production systems, Design SDKs, Implement SDKs, Design communication frameworks, Implement communication frameworks, Build protocol definitions, Manage lifecycle, Build onboarding tooling, Implement routing logic, Build APIs, Build event bus infrastructure, Operate distributed systems, Generate responses, Build agent communication, Build AI service infrastructure, Contribute to agent platform primitives, Build production-grade services, Monitor systems, Alert on systems, Automate remediation, Collaborate with partner teams, Define API contracts, Align on system architecture, Unblock cross-team dependencies, Participate in on-call rotations, Reduce error rates, Respond to incidents, Automate runbooks, Drive improvements in developer velocity, Develop local environments, Build integration test harnesses, Build CI/CD tooling, Mentor junior engineers, Contribute to engineering standards, Contribute to design review culture, Contribute to code quality", "teamCollaboration" : "Partner teams; Cross-organization teams", "domainKnowledge" : "Large language models; Agentic frameworks; Agent communication; Multi-agent orchestration; Distributed systems; Cloud-native architecture; Real-time data; Event-driven architectures", "domainList" : [ "large-language-models", "agentic-frameworks", "agent-communication", "multi-agent-orchestration", "distributed-systems", "cloud-native-architecture", "real-time-data", "event-driven-architectures" ], "domainSpecificKnowledge" : [ "Large language models", "Agentic frameworks", "Agent communication", "Multi-agent orchestration", "Distributed systems", "Cloud-native architecture", "Real-time data", "Event-driven architectures" ], "toolProficiency" : [ "SDKs", "APIs", "CI/CD tooling" ], "problemSolvingSkills" : "Failure isolation; Error rate reduction; Incident response", "specialRequirements" : "On-call rotations", "qualificationsBasic" : "3+ years professional software development, 2+ years system design/architecture, Bachelor's degree Computer Science, Programming language experience", "qualificationsPreferred" : "Master's degree or equivalent, Experience designing large-scale distributed systems, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Experience deploying LLMs in production, Experience with API design, Experience with cloud architecture/deployment, Experience with service-oriented architecture, Experience with mobile development, Experience with performance optimization, Experience with databases design, Experience with streaming systems, Experience with real-time data pipelines, Experience with event-driven architectures, Familiarity with agentic frameworks, Familiarity with agent communication protocols, Familiarity with multi-agent orchestration systems, Operational instincts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are hiring a Software Development Engineer to design, build, and operate production systems across our core workstreams. Depending on your interests and strengths, you may contribute to: Agent communication platform — Design and implement the SDK and communication framework that defines how external AI agents interact with Alexa's AI runtime. Build protocol definitions, lifecycle management, and the partner onboarding tooling that makes agent integration self-service. Intelligent request routing — Implement surface-aware and context-aware routing logic so that Alexa's AI runtime routes requests correctly based on device type, modality, and customer context — with proper failure isolation between surfaces. Unified agent ingress and event delivery — Build production-grade APIs and event bus infrastructure that serve as the single ingress point for all AI agent requests and enable mid-execution event delivery for proactive and autonomous agent patterns. Key job responsibilities - Design, implement, and operate distributed systems that power Alexa's AI runtime at scale, including response generation, agent communication, and AI service infrastructure - Contribute to the design and implementation of agent platform primitives: SDKs, agent registries, and communication frameworks used by multiple partner teams - Build and maintain production-grade services with strong operational health — monitoring, alerting, runbooks, and automated remediation - Collaborate with partner teams across the organization to define API contracts, align on system architecture, and unblock cross-team dependencies - Participate in on-call rotations and contribute to operational excellence, including error rate reduction, incident response, and runbook automation - Drive improvements in developer velocity: local development environments, integration test harnesses, and CI/CD tooling - Mentor junior engineers and contribute to team engineering standards, design review culture, and code quality About the team Our team sits at the heart of Alexa's AI runtime. We own the systems that transform large language model outputs into real-time, multi-modal responses delivered to millions of customers — and we build the agentic platform infrastructure that enables every Alexa AI initiative to communicate naturally and reliably at scale. We operate at the critical interface between the AI reasoning and orchestration layer and the response delivery layer. Our work spans service decomposition and decoupling, streaming response generation, agent communication frameworks, and the SDKs and APIs that let partner teams self-serve on our infrastructure without requiring engineering involvement from our team. We are a high-ownership, high-autonomy team. If you want to build infrastructure that other teams' products and agents run on — rather than individual features — this is the right place. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - Master's degree or equivalent - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience or certifications in API design, cloud architecture/deployment, service-oriented architecture, mobile development, performance optimization, databases design and related fields - Experience with streaming systems, real-time data pipelines, or event-driven architectures (e.g., Kinesis, EventBridge, Kafka, or equivalent) - Familiarity with agentic frameworks, agent communication protocols, or multi-agent orchestration systems - Strong operational instincts — experience owning production systems on-call, reducing error rates, and building runbook automation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Alexa AI at Amazon.com Services LLC. Skills: Distributed systems, AI runtime, Agent platform, Production services. Design production systems. Build production systems", "postedDate" : "2026-06-13T13:18:09.947", "createdAt" : "2026-06-13T13:18:09.947", "lastUpdated" : "2026-06-15T06:10:52.683", "ingestTimestamp" : "2026-06-13T13:18:09.947", "mongoId" : "69f9b8024c40e2acd1113f37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410637/apply", "salaryAnnualMin" : 143000, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing", "LLM deployment", "API design", "Cloud architecture", "SOA", "Mobile development", "Performance optimization", "Database design", "Streaming systems", "Real-time data pipelines", "Event-driven architectures", "Mentoring", "Distributed systems", "AI runtime", "Agent platform", "Production services", "Service-oriented architecture", "Databases design", "Large language models", "Agentic frameworks", "Agent communication", "Multi-agent orchestration", "Cloud-native architecture", "Real-time data", "Cloud architecture/deployment", "SDKs", "APIs", "CI/CD tooling" ], "skillCount" : 35, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 862.67725, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fe94ff4c40e2acd1121a2f", "title" : "Software Development Engineer, Developer Experience", "company" : "Amazon Data Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Raleigh, North Carolina, USA", "locations" : [ "Raleigh, North Carolina, USA" ], "timestamp" : "2026-06-15T10:46:38.456", "fingerprint" : "2044e22920b581d6fb1d70a0b0aeb6b67a25d7708145d06bf233a940093e3f52", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414353/apply", "externalId" : "a5867c83-ea59-47e1-aa7e-ed34832f4d8c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Rust, Go, Python, GRPC, Rest APIs, React", "professionalSkills" : [ "System design", "Agile practices" ], "hardSkillsList" : [ "Software development", "System design", "CI/CD", "Testing frameworks", "Data driven decisions" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Testing frameworks", "level" : "intermediate" }, { "name" : "Data driven decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Developer experience, Software tooling, Distributed systems", "majorSkillsList" : [ "Developer experience", "Software tooling", "Distributed systems" ], "coreResponsibilities" : "Solve complex problems, Shape service definition, Set direction based on data, Incorporate customer input, Build highly available systems, Build fault tolerant systems, Gather customer requirements, Generate technical designs, Carry project through lifecycle, Develop enabling products, Mentor other engineers, Provide training and support", "teamCollaboration" : "Collaborate with other builders; Work across multiple teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Amazon networking OS; AWS infrastructure; Cloud computing", "domainList" : [ "amazon-networking-os", "aws-infrastructure", "cloud-computing" ], "domainSpecificKnowledge" : [ "Amazon networking OS", "AWS infrastructure", "Cloud computing" ], "toolProficiency" : [ "CI/CD pipelines" ], "communicationSkills" : "Leadership communication", "continuousLearning" : "Mentorship; Career growth resources", "innovationCreativity" : "Innovate; Raise the bar", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data driven decisions", "outcomesObjectives" : "Improve developer experience; Reduce friction; Increase output; Deliver highest standards; Provide infinite capacity; Achieve lowest cost", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a developer advocate? A builder passionate about incredible software? Are you committed to quality, agility, predictability, and consistency? How about having a great time designing the Future? We are looking for senior Software Development Engineers to help us make this vision a reality. Join us!!! Our team delivers software services and infrastructure for the Amazon networking OS. We are a builder tools team: we build tools for other builders. Our goal is improving the developer experience, by providing world-class tooling that empowers, enables, and fosters ideas. We champion great engineering practices - we make the right things common, common things easy, and ensure uncommon things are possible. We craft great tools: simple, intuitive, reliable, and \"feel nice\" - we reduce friction and increase output for the same input. Above all, customers come to us because we are a strong, high-quality, and dependable engineering org. We design the future and better their daily-lives. You will join us to influence, innovate, and raise the bar in this mission! AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will solve complex and ambiguous problems, efficiently and with high-quality. You will play a pivotal role in shaping the definition, vision, design, roadmap, development, and operationalization of customer-facing services. You will be given an outcome and the freedom to set the direction based on data driven decisions. You will be part of a startup with the backing of a large company. In this role, you'll contribute to critical and highly-visible function within the AWS business. You will work alongside other talented builders, and across multiple teams. You have the opportunity to hire and shape the team to continue to outperform expectations. You will incorporate customer input and ensure consistency and intuitiveness of our services. You will build highly available and fault tolerant distributed systems. You’ll find this role engaging, challenging, and full of opportunities to learn and grow. You will have a large impact on AWS and the cloud computing industry. A day in the life You must ensure our solutions meet the needs of our most important customers — our own developers. You will be a hands-on technical lead. You will work with customers to gather requirements and generate technical designs, and you will carry the project through all the software lifecycle stages. You’ll develop products that enable builders to develop and operate robust, high-quality software and safely, securely, and reliably deploy it. You will use your strong leadership and communication skills to mentor other engineers and provide training and support for our technologies. You will have access to senior leadership and engineering staff. About the team We serve many customers, and play a critical role and multiplying effect across Networking services. We run very lean and scale with the business, without repeated technical or operational burden. We use Rust, Go, Python (and many other things) in NAWS. We touch everything from embedded systems and kernel, to GRPC/Rest APIs and your favorite front-end stack (ours is React). We own and support every service across different verticals: * Product – We own solutions that provide visibility into business-driving metrics, aggregate information, trigger actions, and help leaders manage this domain. * Build and release – we own the CI/CD charter. We push commits through pipelines that compile binaries, build images, debug symbols, go through multiple stages of validation, and push updates to millions of devices across the Amazon network. We aim to simplify and reduce the time to release new content to the network, automate processes, etc. * Validation and qualification – builders use our testing frameworks to validate the OS. We own tooling for unit/integration/functional/system testing, and static analysis (but don’t own the tests). We aim to improve quality by reducing defects, increasing the expressiveness of the testing scenarios, and reducing feedback loop. * Infrastructure – we own and support datacenter labs with tooling that manages inventory, reservations, capacity auto-scaling/provisioning/recovery, sanity checks, etc. This is the underlying infrastructure of the ecosystem. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Working at AWS in the Core Networking Team • Meet Matt, Director, Core Networking --- https://youtu.be/DqTStjRtjX4 Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NC, Raleigh - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Developer Experience at Amazon Data Services, Inc.. Skills: Developer experience, Software tooling, Distributed systems. Solve complex problems. Shape service definition", "postedDate" : "2026-06-13T17:23:45.481", "createdAt" : "2026-06-13T17:23:45.481", "lastUpdated" : "2026-06-15T10:46:38.456", "ingestTimestamp" : "2026-06-13T17:23:45.481", "mongoId" : "69fe94ff4c40e2acd1121a2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414353/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "CI/CD", "Testing frameworks", "Data driven decisions", "Leadership", "Mentoring", "Developer experience", "Software tooling", "Distributed systems", "Agile practices", "Roadmap development", "Amazon networking OS", "AWS infrastructure", "Cloud computing", "CI/CD pipelines" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 859.8432, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305098f292fd229cef28d0", "title" : "Senior Technical Product Manager, AI Engineering & Systems", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-16T08:40:45.090", "fingerprint" : "aaa2cdb51c317e1a5b8a1f469a8ea863987fc2a8a314ac1bc8a60b0f28a78fe5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/84e00045-f0c0-4c95-8599-3c05d780cfcf/application", "externalId" : "84e00045-f0c0-4c95-8599-3c05d780cfcf", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs, SQL", "professionalSkills" : [ "Systems thinking", "Technical translation" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "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 at OpenAI to evaluate models, Work with partners at OpenAI to deploy models, Work with partners at OpenAI to evaluate voice, Work with partners at OpenAI to deploy voice, Work with partners at OpenAI to evaluate workflow, Work with partners at OpenAI to deploy workflow", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering and organization", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven hypothesis validation", "outcomesObjectives" : "Automate fragmented market; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ 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 SQL", "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: - 4+ 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" : "Senior 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" : "2026-06-16T00:28:54.134", "lastUpdated" : "2026-06-16T08:40:45.090", "ingestTimestamp" : "2026-06-16T00:28:54.134", "mongoId" : "6a305098f292fd229cef28d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Roadmap development", "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 857.3819, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f032beec4dd3d933f89", "title" : "Software Development Manager", "company" : "Amazon.com Services LLC", "industry" : "Software Development, north america stores", "salary" : { "min" : 203400.0, "max" : 275200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:02:24.696", "fingerprint" : "c1236c4c94b42792b1668652ec235b6bb2a08e2a2d61d94d12ee911e4c840fb7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382566/apply", "externalId" : "05a228d3-03f0-471f-b81d-392f2e626c4b", "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", "experienceLevel" : "Manager", "technicalSkills" : "AI, Machine Learning, Service-oriented architecture", "professionalSkills" : [ "System design", "Technical strategy", "Product strategy" ], "hardSkillsList" : [ "Software development", "Distributed systems", "AI/ML integration" ], "softSkillsList" : [ "Ownership", "Judgement", "Analytical", "Creative", "Problem solver" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "AI/ML integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Judgement" }, { "name" : "Analytical" }, { "name" : "Creative" }, { "name" : "Problem solver" } ], "majorSkills" : "Software development management, AI technologies, Distributed systems architecture", "majorSkillsList" : [ "Software development management", "AI technologies", "Distributed systems architecture" ], "coreResponsibilities" : "Lead SDE team, Design products and tools, Architect products and tools, Leverage AI technologies, Set technical vision, Set strategic direction, Create scalable systems, Create distributed systems, Integrate AI/ML capabilities, Power merchandising opportunities, Maintain quality, Collaborate with scientists, Collaborate with UX researchers, Collaborate with designers, Define roadmaps, Define customer experiences, Define scaling opportunities, Establish structures for team, Solve complex problems, Deliver impactful systems, Build audit mechanisms, Build metrics, Drive architectural decisions, Drive technical strategy, Adapt to regional festivals, Ensure maintainability, Ensure operational excellence, Review key metrics, Lead technical design review, Manage SDE team, Collaborate on AI model enhancements, Work with UX research, Work with design, Refine customer experience, Meet with business stakeholders, Align technical direction, Mentor team members, Coordinate with partner teams", "teamCollaboration" : "Matrixed organization; Applied scientists; UX researchers; Designers; Business stakeholders; Partner teams", "projectManagementSkills" : [ "Roadmap definition" ], "domainKnowledge" : "Discovery technology; Merchandising systems; Marketing systems; AI tools; Cross-category shopping; Automated merchandising; Hyper-local merchandising", "domainList" : [ "discovery-technology", "merchandising-systems", "marketing-systems", "ai-tools", "cross-category-shopping", "automated-merchandising", "hyper-local-merchandising" ], "domainSpecificKnowledge" : [ "Discovery technology", "Merchandising systems", "Marketing systems", "AI tools", "Cross-category shopping", "Automated merchandising", "Hyper-local merchandising" ], "communicationSkills" : "Describe software features; Describe technical designs", "continuousLearning" : "Learn new technologies fast", "innovationCreativity" : "Innovation; Creativity", "problemSolvingSkills" : "Analytical problem solver", "outcomesObjectives" : "Deliver best shopping experience", "qualificationsBasic" : "3+ years engineering team management, 7+ years Software Engineer experience, 3+ years distributed software systems, Bachelor's degree or foreign equivalent, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring/coaching engineers, Experience managing teams of engineers, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to reach the next level in your career as a Software Development Manager? Are you looking for new challenges and solving hard problems while using top-notch technologies? Join Discovery Technology team in New York and you will help millions of Amazon customers to discover the best, most relevant and high quality product selection! Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, innovation and creativity to build new customer-facing features and experiences alongside AI tools for marketers. You will be responsible for creating products that help customers to shop cross-category, easily discover new ideas, new categories and new brands and have fun while shopping. Through leveraging machine-learning models, you will drive opportunities to automate Amazon’s cross-category marketing and merchandising and will help to deliver the best possible shopping experience for Amazon’s customers all over the globe. A successful candidate will have a strong sense of ownership, great judgement, be highly analytical, able to work effectively in a matrixed organization, and adept at synthesizing a variety of technologies and capabilities into products that customers love. The ideal candidate for this role will be customer-obsessed with the capability to dive in and learn new technologies fast and who is comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver. Key job responsibilities - Lead a team of Software Development Engineers in designing and architecting products and tools that leverage the latest AI technologies for Amazon's merchandising and marketing systems, setting technical vision and strategic direction. - Create scalable, distributed systems architecture that integrates AI/ML capabilities to power worldwide, year-round merchandising opportunities while maintaining exceptional quality through continuous learning systems. - Collaborate with applied scientists, UX researchers, designers, and business stakeholders to define roadmaps, customer experiences, and scaling opportunities for the Automated Merchandising platform. - Establish structures that enable your team to solve complex problems and deliver impactful software systems, building audit mechanisms and metrics that demonstrate your team's performance against goals. - Drive architectural decisions and technical strategy for hyper-local merchandising capabilities that can adapt to regional festivals and local events across all marketplaces, ensuring maintainability and operational excellence. A day in the life You'll start your day reviewing key metrics from your team systems before leading a technical design review for new features. Throughout the day, you'll manage a team of SDEs, collaborate with applied scientists on AI model enhancements, and work with UX research and design to refine the customer experience. You'll meet with business stakeholders to align technical direction with merchandising strategy, mentor team members on technical challenges, and coordinate with partner teams to scale learnings across Amazon. About the team The Discovery Tech team helps customers discover and engage with new, popular, and relevant products across Amazon worldwide. We combine technology, science, innovation, and creativity to build new customer-facing features and experiences alongside AI tools for marketers. Our mission is to help customers shop cross-category, easily discover new ideas, categories, and brands while enjoying their shopping experience. By leveraging machine learning models and AI technologies, our team drives opportunities to automate Amazon's cross-category marketing and merchandising to deliver the best possible shopping experience for Amazon's customers globally. We're passionate about innovation and creating platforms that transform how merchandisers work at scale. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of Software Engineer, Software Developer, or related occupational experience - 3+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 203,400.00 - 275,200.00 USD annually", "summaryDescription" : "Software Development Manager at Amazon.com Services LLC. Skills: Software development management, AI technologies, Distributed systems architecture. Lead SDE team. Design products and tools", "postedDate" : "2026-06-13T02:19:17.608", "createdAt" : "2026-06-13T02:19:17.608", "lastUpdated" : "2026-06-15T00:02:24.696", "ingestTimestamp" : "2026-06-13T02:19:17.608", "mongoId" : "69cf3f032beec4dd3d933f89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382566/apply", "salaryAnnualMin" : 203400, "salaryAnnualMax" : 275200, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Software development", "Distributed systems", "AI/ML integration", "Ownership", "Judgement", "Analytical", "Creative", "Problem solver", "Software development management", "AI technologies", "Distributed systems architecture", "System design", "Technical strategy", "Product strategy", "Roadmap definition", "Discovery technology", "Merchandising systems", "Marketing systems", "AI tools", "Cross-category shopping", "Automated merchandising", "Hyper-local merchandising" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 856.3541, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a25145374d8ee00a00bb352", "title" : "Software Development Manager", "company" : "Amazon Development Centre (London) Limited", "industry" : "Software Development, Retail", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Manager in London, UK, adjusted for seniority and company size in the technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T11:17:28.803", "fingerprint" : "8c4dd768d5d20749fc7864dda6eeb1e66d11e5eaa89e6b3a9b97357b0888b7c3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441253/apply", "externalId" : "56568cc5-72c1-48c7-8982-e6986d30070e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join us at Amazon as we reinvent shopping and search again! We're not just talking about improving the existing Amazon shopping experiences, we're building a brand-new world where shopping is effortless and intuitive through the power of generative AI. Leveraging state-of-the-art Large Language Models and generative AI, we're creating a live, two-way natural language conversational shopping and search experiences that are fast, helpful and trustworthy. As people turn to Amazon for deeper insights and understanding about products earlier and earlier in their shopping journeys, we're stepping up to the challenge by synthesizing complex information and multiple perspectives so customers can explore Amazon’s vast catalog to find exactly the products that solve their particular needs. Imagine having a back and forth conversation with an AI assistant helping you to articulate a problem you’re trying solve, effortlessly answering your product questions and giving you trustworthy advice and recommendations for what to buy. Also imagine a world where this same AI assistant reduces your mental load by proactively predicting and then fulfilling your shopping needs without you needing to interfere, thus saving you time and money along the way. We are building such an AI assistant to become the digital manifestation of the helpful salesperson that asks customers what they need, helps them navigate the store, waits unobtrusively while they look over the shelves, and helps them find complementary goods. What does economics have to teach this salesperson? Can we embed lessons from the behavioral literature to help customers? This is an opportunity to embed economic expertise into large scale generative models. This is just the beginning, and the future is yours to shape. We're searching for pioneers who are passionate about using technology and innovation to fundamentally change how customers shop, and who are ready to make a lasting impact on the industry and even disrupting how Amazon serves customers. You'll be a senior technical leader working with talented scientists, economists, engineers, and product leaders to innovate on behalf of our customers and help turn generative AI shopping into Amazon’s next business pillar. Basic Qualifications: - Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience in leading the definition and development of multi tier web services - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product and program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment - Experience developing, deploying and managing AI products at scale Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager at Amazon Development Centre (London) Limited", "postedDate" : "2026-06-14T19:38:39.034", "createdAt" : "2026-06-14T19:38:39.034", "lastUpdated" : "2026-06-15T11:17:28.803", "ingestTimestamp" : "2026-06-14T19:38:39.034", "mongoId" : "6a25145374d8ee00a00bb352", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441253/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 856.05524, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69f9b8024c40e2acd1113eb2", "title" : "Software Development Manager", "company" : "ADCI", "industry" : "Software Development, selling partner services", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Manager in Bengaluru, India, adjusted for Manager seniority and the E-Commerce industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:36:38.977", "fingerprint" : "c856f16a72cfbac29ab8dd703f5723820519e7592d6170dfd47fecbc6c481ce4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410172/apply", "externalId" : "06bb9ccd-7c4d-404b-a7f3-228023d52b39", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "System design", "Platform reliability" ], "hardSkillsList" : [ "Web services development" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Web services development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Team management, Web services, System architecture", "majorSkillsList" : [ "Team management", "Web services", "System architecture" ], "coreResponsibilities" : "Build mission critical systems and services, Send, store and manage billions of products, Own critical systems for sellers, Manage inventory on Amazon's fulfillment network, Drive technical strategy and execution, Improve listing experience, Enhance platform reliability, Unlock new growth opportunities, Invent new ways to deliver value, Leverage scale and innovation of technology", "teamCollaboration" : "Product or program management teams; Other technical teams; Senior leadership", "domainKnowledge" : "Fulfillment by Amazon; Amazon's fulfillment network; Amazon's Marketplaces; AWS", "domainList" : [ "fulfillment-by-amazon", "amazon-s-fulfillment-network", "amazon-s-marketplaces", "aws" ], "domainSpecificKnowledge" : [ "Fulfillment by Amazon", "Amazon's fulfillment network", "Amazon's Marketplaces", "AWS" ], "communicationSkills" : "Collect requirements; Describe software product features; Describe technical designs; Describe product strategy", "innovationCreativity" : "Invent new ways to deliver value", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Improve listing experience; Enhance platform reliability; Unlock new growth opportunities", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for full software/hardware/networks development life cycle, Experience partnering with product or program management teams, Experience designing or architecting new and existing systems", "qualificationsPreferred" : "Experience communicating with users, other technical teams, and senior leadership, Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "How would you build the next generation of mission critical systems and services that power the ability to send, store and manage billions of products across the globe on behalf of our selling partners? Fulfillment by Amazon (FBA) is the Amazon service for world-wide sellers that offers access to Amazon’s vast distribution network as a service. Similar to how AWS provides infrastructure as a service, FBA allows sellers to only pay for what they use, creating a seamless experience to leverage our world-class infrastructure. Sellers, from Fortune 50 companies to hundreds of thousands of small businesses and entrepreneurs, in 135 countries worldwide, rely upon our world-leading technology to grow and thrive on Amazon’s Marketplaces. As a leader within FBA, you will own critical systems that enable sellers to successfully list and manage their inventory on Amazon's fulfillment network. You'll drive the technical strategy and execution for systems that serve millions of sellers worldwide, leading initiatives that improve the listing experience, enhance platform reliability, and unlock new growth opportunities. Your work will directly impact how sellers of all sizes—from individual entrepreneurs to enterprise businesses—leverage Amazon's fulfillment infrastructure to scale their operations. This leader will invent new ways to deliver value for sellers and their products, while leveraging the scale and innovation of technology from across the Amazon family, including AWS. We operate as a startup within Amazon, providing our team great flexibility in product and technology direction. Come, join us and build the future! Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager at ADCI. Skills: Team management, Web services, System architecture. Build mission critical systems and services. Send, store and manage billions of products", "postedDate" : "2026-06-13T15:51:23.770", "createdAt" : "2026-06-13T15:51:23.770", "lastUpdated" : "2026-06-15T06:36:38.977", "ingestTimestamp" : "2026-06-13T15:51:23.770", "mongoId" : "69f9b8024c40e2acd1113eb2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410172/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Web services development", "Leadership", "Mentoring", "Team management", "Web services", "System architecture", "System design", "Platform reliability", "Fulfillment by Amazon", "Amazon's fulfillment network", "Amazon's Marketplaces", "AWS" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 854.3701, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6ad774d8ee00a090e6f1", "title" : "Software Development Manager", "company" : "OMP Careers", "industry" : "Manufacturing", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Manager in Antwerp, Belgium, adjusted for manager seniority and the manufacturing industry." }, "location" : "BE-Antwerp", "locations" : [ "BE-Antwerp", "BE-Ghent", "BE-Wavre" ], "timestamp" : "2026-06-16T00:37:56.228", "fingerprint" : "bbded7b73a5e6cc9de94de2660be8198a4887485a449174ca4ac1165cf5d4a29", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.omp.com/job/navigate/4858485101?gh_jid=4858485101", "externalId" : "4858485101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Antwerp", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.2211097,4.3997081" } ], "locationText" : "Antwerp, Belgium", "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "People management", "Technical leadership" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Software development management, Agile methodologies, Team leadership", "majorSkillsList" : [ "Software development management", "Agile methodologies", "Team leadership" ], "coreResponsibilities" : "Lead a global team, Coach software engineers, Develop team skills, Set assignments, Share feedback, Create release plan, Ensure priorities are met, Inform stakeholders of progress, Take part in development projects, Maintain technical skills, Follow up on development steps, Negotiate scope, Oversee technical design, Oversee implementation, Oversee testing, Oversee quality assurance, Ensure development topics delivered on time, Meet high-quality standards, Delegate to technical leads, Delegate to senior developers, Delegate to scrum testing team, Get hands dirty when necessary, Encourage feedback sharing, Encourage idea sharing, Empower team members, Facilitate cross-team collaboration, Coordinate with other development teams, Coordinate with scrum testing teams, Coordinate with QA teams, Coordinate with documentation teams", "teamCollaboration" : "Global team; Cross-team collaboration; Collaboration with other teams", "projectManagementSkills" : [ "Agile", "Release planning", "Scrum" ], "domainKnowledge" : "Packaging and paper products", "domainList" : [ "packaging-and-paper-products" ], "domainSpecificKnowledge" : [ "Packaging and paper products" ], "specialRequirements" : "International travel", "qualificationsBasic" : "5+ years software engineering experience, Experience managing software engineers, Experience with agile development process", "qualificationsPreferred" : "Experience in packaging and paper products", "remoteFriendly" : false, "rawDescription" : "As a Software Development Manager, you’re the leader, coach, and inspiration for a global team of skilled software engineers. Your team is your top priority. Are they collaborating efficiently? Do they get the right opportunities and challenges to develop their skills? Your people, project management, and technical skills make teamwork a success. You set assignments and share feedback that encourages your team to take things to the next level. In close collaboration with our Functional Product Manager, you create a reliable release plan. During execution, you are responsible for ensuring all priorities are met and all stakeholders are kept informed about progress. You also take part in development project(s) to maintain and improve your technical skills. To make sure our (agile) development process is correctly executed, you: Follow up on all steps from the initial scope negotiation with the Functional Product Manager and technical design to implementation, testing, and quality assurance. Stay on top of the agile process to ensure development topics are delivered on time and our high-quality standards are met. Delegate to our technical leads, senior developers, and dedicated scrum testing team. But, when necessary, you’re not afraid to get your hands dirty. Encourage team members to share feedback and ideas, and empower them to realize these suggestions. Facilitate and coordinate cross-team collaboration, with other development teams, but also with our scrum testing, QA, and documentation teams. Lastly, you’re happy to work internationally and travel to multiple locations depending on the geographical spread of your team.", "summaryDescription" : "Software Development Manager at OMP Careers. Skills: Software development management, Agile methodologies, Team leadership. Lead a global team. Coach software engineers", "postedDate" : "2026-06-14T19:16:07.106", "createdAt" : "2026-06-14T19:16:07.106", "lastUpdated" : "2026-06-16T00:37:56.228", "ingestTimestamp" : "2026-06-14T19:16:07.106", "mongoId" : "6a2c6ad774d8ee00a090e6f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Leadership", "Coaching", "Mentoring", "Software development management", "Agile methodologies", "Team leadership", "Project management", "People management", "Technical leadership", "Agile", "Release planning", "Scrum", "Packaging and paper products" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 853.83295, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9e2d54c40e2acd12a66e3", "title" : "Manager of Software Development", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 184000.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hawthorne, California, USA", "locations" : [ "Hawthorne, California, USA" ], "timestamp" : "2026-06-15T02:28:45.163", "fingerprint" : "4b4f038b6e0995a9e98364413fd48956029a4eac5d7ecade44c44059c0eda6a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411159/apply", "externalId" : "f0159622-b938-49a5-8bb8-4facf3d7d4c7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hawthorne", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9128272,-118.3426122" } ], "locationText" : "Hawthorne, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "AI, Cloud-native, Large language models, Real-time APIs, Event-driven compute, Analytics pipelines", "professionalSkills" : [ "System design", "Reliability", "Scaling", "Product strategy", "Strategic science", "Business support", "New development", "Operational health" ], "hardSkillsList" : [ "Software development", "DevOps", "Cloud", "AI/ML", "Data engineering", "Security", "Code generation", "Analysis", "Decision-making", "Task orchestration", "Multi-agent coordination", "Tool use", "Function calling", "Retrieval-augmented generation", "Conversational interfaces", "Scalable job execution", "Polyglot architecture", "Web services", "Livesite operations", "Product analytics", "Business intelligence", "Data platforms", "Data pipelines", "AI/ML models", "Shared data models" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "Cloud", "level" : "intermediate" }, { "name" : "AI/ML", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Analysis", "level" : "intermediate" }, { "name" : "Decision-making", "level" : "intermediate" }, { "name" : "Task orchestration", "level" : "intermediate" }, { "name" : "Multi-agent coordination", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" }, { "name" : "Conversational interfaces", "level" : "intermediate" }, { "name" : "Scalable job execution", "level" : "intermediate" }, { "name" : "Polyglot architecture", "level" : "intermediate" }, { "name" : "Web services", "level" : "intermediate" }, { "name" : "Livesite operations", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "AI/ML models", "level" : "intermediate" }, { "name" : "Shared data models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Agentic AI, Multi-agent systems, AI platform development, Software development management", "majorSkillsList" : [ "Agentic AI", "Multi-agent systems", "AI platform development", "Software development management" ], "coreResponsibilities" : "Lead a team of engineers, Build an AI platform, Design autonomous AI agents, Compose autonomous AI agents, Deploy autonomous AI agents, Collaborate with AI agents, Collaborate with humans, Execute complex workflows, Generate code, Analyze code, Make decisions, Orchestrate tasks, Integrate with enterprise systems, Coordinate multi-agent systems, Utilize tools, Use function calling, Use retrieval-augmented generation, Develop conversational interfaces, Execute jobs at scale, Build modular platforms, Compose agents from skills, Compose agents from tooling, Create intelligent automation, Share intelligent automation, Evolve intelligent automation, Own platform delivery, Mentor software developers, Collaborate with product partners, Collaborate with engineering partners, Push boundaries of multi-agent systems, Support business needs, Develop new features, Maintain operational health", "teamCollaboration" : "Product partners; Engineering partners; Cross-functional teams", "projectManagementSkills" : [ "Software development life cycle" ], "domainKnowledge" : "Agentic AI; Multi-agent coordination; Tool use; Function calling; Retrieval-augmented generation; Conversational interfaces; Scalable job execution; Cloud-native architecture; Polyglot architecture; Real-time APIs; Event-driven compute; Analytics pipelines; Large language models; Multi-agent patterns; A2A protocol; LLM evaluation; AI agent evaluation; Responsible AI; Guardrails; Observability; AI platforms", "domainList" : [ "agentic-ai", "multi-agent-coordination", "tool-use", "function-calling", "retrieval-augmented-generation", "conversational-interfaces", "scalable-job-execution", "cloud-native-architecture", "polyglot-architecture", "real-time-apis", "event-driven-compute", "analytics-pipelines", "large-language-models", "multi-agent-patterns", "a2a-protocol", "llm-evaluation", "ai-agent-evaluation", "responsible-ai", "guardrails", "observability", "ai-platforms" ], "domainSpecificKnowledge" : [ "Agentic AI", "Multi-agent coordination", "Tool use", "Function calling", "Retrieval-augmented generation", "Conversational interfaces", "Scalable job execution", "Cloud-native architecture", "Polyglot architecture", "Real-time APIs", "Event-driven compute", "Analytics pipelines", "Large language models", "Multi-agent patterns", "A2A protocol", "LLM evaluation", "AI agent evaluation", "Responsible AI", "Guardrails", "Observability", "AI platforms" ], "toolProficiency" : [ "Strands Agents", "Amazon Bedrock", "Bedrock AgentCore" ], "communicationSkills" : "Technical designs; Product strategy", "innovationCreativity" : "Push boundaries", "problemSolvingSkills" : "Debugging", "qualificationsBasic" : "3+ years engineering team management, 7+ years working within engineering, 3+ years designing or architecting systems, 8+ years leading web services definition, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Communicating with users, teams, leadership, Recruiting, hiring, mentoring teams, Familiarity with agentic AI IDE, Familiarity with Strands Agents, Familiarity with Amazon Bedrock, Familiarity with Bedrock AgentCore, Understanding of multi-agent patterns, Familiarity with evaluation of LLMs, Familiarity with evaluation of AI agents, Knowledge of responsible AI practices, Familiarity with observability, Familiarity with debugging within AI platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Manager of Software Development to lead a team of engineers building a multi-agent AI platform. This platform enables organizations to design, compose, and deploy autonomous AI agents that collaborate with each other and with humans to execute complex workflows — from code generation and analysis to decision-making and task orchestration across enterprise systems. The work sits at the frontier of agentic AI: multi-agent coordination, tool use and function calling, retrieval-augmented generation, conversational interfaces, and scalable job execution. The underlying architecture is cloud-native and polyglot, spanning real-time APIs, event-driven compute, analytics pipelines, and integrations with large language models. The platform is built to be modular — agents are composed from reusable skills and tooling, making it possible for teams across the organization to create, share, and evolve intelligent automation without starting from scratch. As the engineering manager, you will own the delivery of this platform, build and mentor a high-performing team of software developers, and collaborate with product and engineering partners to push the boundaries of what multi-agent systems can do in production. This is a role for someone who is energized by the rapid evolution of AI, comfortable navigating ambiguity, and driven to ship systems that meaningfully change how people work. About the team The Agent Platform Organization spans data engineering, business intelligence, applied science, and agentic AI. The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Familiarity with at least one agentic AI development IDE - Familiarity with Strands Agents, Amazon Bedrock, and Bedrock AgentCore - Understanding of multi-agent patterns (swarm, graph, workflow) and the A2A protocol - Familiarity with evaluation of LLMs and AI agents - Knowledge of responsible AI practices and the use of guardrails - Familiarity with observability and debugging within AI platforms Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Hawthorne - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Manager of Software Development at Amazon.com Services LLC. Skills: Agentic AI, Multi-agent systems, AI platform development, Software development management. Lead a team of engineers. Build an AI platform", "postedDate" : "2026-06-13T04:33:48.618", "createdAt" : "2026-06-13T04:33:48.618", "lastUpdated" : "2026-06-15T02:28:45.163", "ingestTimestamp" : "2026-06-13T04:33:48.618", "mongoId" : "69f9e2d54c40e2acd12a66e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411159/apply", "salaryAnnualMin" : 184000, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "DevOps", "Cloud", "AI/ML", "Data engineering", "Security", "Code generation", "Analysis", "Decision-making", "Task orchestration", "Multi-agent coordination", "Tool use", "Function calling", "Retrieval-augmented generation", "Conversational interfaces", "Scalable job execution", "Polyglot architecture", "Web services", "Livesite operations", "Product analytics", "Business intelligence", "Data platforms", "Data pipelines", "AI/ML models", "Shared data models", "Leadership", "Mentoring", "Agentic AI", "Multi-agent systems", "AI platform development", "Software development management", "System design", "Reliability", "Scaling", "Product strategy", "Strategic science", "Business support", "New development", "Operational health", "Software development life cycle", "Cloud-native architecture", "Real-time APIs", "Event-driven compute", "Analytics pipelines", "Large language models", "Multi-agent patterns", "A2A protocol", "LLM evaluation", "AI agent evaluation", "Responsible AI", "Guardrails", "Observability", "AI platforms", "Strands Agents", "Amazon Bedrock", "Bedrock AgentCore" ], "skillCount" : 56, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 853.0207, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305930f292fd229cf45a11", "title" : "Senior Technical Product Manager, AI Engineering & Systems", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-16T10:50:49.734", "fingerprint" : "4c819eec0ab101967b7c050fed242c87e3ff48f700aff96fbc3ff0464a03ed35", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/84e00045-f0c0-4c95-8599-3c05d780cfcf/application", "externalId" : "84e00045-f0c0-4c95-8599-3c05d780cfcf", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs, SQL", "professionalSkills" : [ "Systems thinking", "Technical translation" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "majorSkills" : "AI platform, LLM systems, Product strategy", "majorSkillsList" : [ "AI platform", "LLM systems", "Product strategy" ], "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 at OpenAI to evaluate models, Work with partners at OpenAI to deploy models, Work with partners at OpenAI to evaluate voice, Work with partners at OpenAI to deploy voice, Work with partners at OpenAI to evaluate workflow, Work with partners at OpenAI to deploy workflow", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ 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: - 4+ 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" : "Senior Technical Product Manager, AI Engineering & Systems at Jerry.ai. Skills: AI platform, LLM systems, Product strategy. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:27:49.005", "lastUpdated" : "2026-06-16T10:50:49.734", "ingestTimestamp" : "2026-06-16T00:27:49.005", "mongoId" : "6a305930f292fd229cf45a11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "AI platform", "LLM systems", "Product strategy", "Systems thinking", "Technical translation", "Roadmap development", "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 852.1369, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e54c40e2acd1b999f8", "title" : "Software Development Manager, Amazon Leo AI Foundations", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-16T04:09:26.490", "fingerprint" : "d6e00985dc6653ff10c0ccbf969d95bbe94286142d92202f4f462a5e7abdd6df", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412840/apply", "externalId" : "e006a7c4-28be-450e-af1a-0566e4a69970", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. This role is for a Software Development Manager who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top. You’ll build these systems using the latest AWS technologies and best-in-industry data engineering practices. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Architect and implement a scalable, performance-optimized OLAP-based analytics system. - Architect and implement a scalable, cost-optimized Data Lakehouse that unifies structured and unstructured data from diverse sources. - Architect a centralized metrics repository that becomes the source of truth for all Leo metrics. - Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns. - Implement cross-domain federated query capabilities with sophisticated query optimization techniques. - Establish metadata management with automated data classification and lineage tracking. - Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates. - Implement robust data quality frameworks with staging-first policies and automated validation pipelines. - Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails. - Lead the design of semantic data models that balance analytical performance with AI retrieval requirements. - Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times. - Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval. - Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards. A day in the life This role is for a Software Development Manager who will build new cloud services and APIs that facilitate and orchestrate the Leo AI Foundations—enabling intelligent software operation across Leo devices such as satellites, ground gateways, and customer terminals. You will design and deliver low-latency, highly scalable architectures that are critical to providing high-quality internet service and AI capabilities to customers. About the team Leo AI Foundations builds the intelligent cloud backbone that powers AI-driven decision making across Amazon’s Leo constellation — from satellites and ground gateways to customer terminals. Our team designs and operates large-scale data and analytics systems that enable training, inference, and agentic intelligence for optimizing network performance, routing, and user experience in real time. We combine expertise in distributed systems, data lakehouse architectures, and applied machine learning to deliver scalable, low-latency AI capabilities that integrate seamlessly with Leo's software-defined space and ground systems. We move fast, innovate boldly, and work across boundaries to make global connectivity smarter and more efficient. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - 3+ years of Software Engineer, Software Developer, or related occupational experience - 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience - 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience - 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience - 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Redmond - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Manager, Amazon Leo AI Foundations at Amazon Kuiper Manufacturing Enterprises LLC", "postedDate" : "2026-06-14T19:32:09.716", "createdAt" : "2026-06-14T19:32:09.716", "lastUpdated" : "2026-06-16T04:09:26.490", "ingestTimestamp" : "2026-06-14T19:32:09.716", "mongoId" : "69fda4e54c40e2acd1b999f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412840/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 849.83545, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a24e70374d8ee00a0022dba", "title" : "AI Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Developer in Warsaw, Poland, adjusted for Lead seniority and the Technology industry." }, "location" : "Warsaw, PL", "locations" : [ "Warsaw", "PL", "Serbia", "Romania" ], "timestamp" : "2026-06-16T02:56:01.579", "fingerprint" : "6284217cde548adc9785f3e2d91bd31270086d7cacd7e36a2bcc587c44fb634f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/214ce3dba1df01-nda-adtech-ai-developer", "externalId" : "214ce3dba1df01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI", "softSkillsList" : [ "Leadership", "Mentoring" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Development", "majorSkillsList" : [ "AI Development" ], "coreResponsibilities" : "Lead Gen AI teams, Mentor Gen AI teams, Develop conversational agents, Manage the team", "qualificationsBasic" : "Lead Gen AI teams, Develop conversational agents", "rawDescription" : "On behalf of NDA, AdTech, SD Solutions is looking for a talented AI Developer. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead and mentor two Gen AI teams in developing conversational agents. Manage the team r", "summaryDescription" : "AI Developer at SD Solutions. Skills: AI Development. Lead Gen AI teams. Mentor Gen AI teams", "createdAt" : "2026-06-14T18:41:41.054", "lastUpdated" : "2026-06-16T02:56:01.579", "ingestTimestamp" : "2026-06-14T18:41:41.054", "mongoId" : "6a24e70374d8ee00a0022dba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "Mentoring", "AI Development" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 847.2406, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9e2d54c40e2acd12a66e0", "title" : "Software Development Manager", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 212000.0, "max" : 287000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:06:28.464", "fingerprint" : "3bb20d99c845ef5a94c88794a38dbbd4e3add82083ef9dbfec9d33f5ed376128", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411163/apply", "externalId" : "c4ea4c91-1893-4fb8-89b9-4bd5949b0982", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI/ML, C/C++, Computer Vision, Video, Audio, Embedded system, WiFi, BLE", "professionalSkills" : [ "Project management", "System design", "Product strategy", "Software development", "Quality assurance", "Resource management", "Staffing", "Mentoring" ], "hardSkillsList" : [ "Software development", "Quality assurance", "System architecture", "Embedded systems", "Computer vision", "Video processing", "Audio processing", "Low power systems", "Battery power systems", "Connectivity systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Video processing", "level" : "intermediate" }, { "name" : "Audio processing", "level" : "intermediate" }, { "name" : "Low power systems", "level" : "intermediate" }, { "name" : "Battery power systems", "level" : "intermediate" }, { "name" : "Connectivity systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Software development management, System architecture, Product development, Team leadership", "majorSkillsList" : [ "Software development management", "System architecture", "Product development", "Team leadership" ], "coreResponsibilities" : "Own software development and QA end to end, Architect and develop technical designs, Execute against project plans, Provide timely delivery of committed results, Manage day-to-day activities of engineering team, Manage department resources, staffing and mentoring, Build, enhance, and maintain engineering team, Report on status of development, quality, operations, and, Maintain and enhance software framework, Write documents, Lead reviews and discussions, Mentor and develop team, Drive cross-functional collaboration, Make critical technical decisions, Build up team's capabilities", "teamCollaboration" : "Device engineering team; Cloud teams; Mobile teams; Vendors; Product teams; Cross-functional collaboration", "projectManagementSkills" : [ "Agile/Scrum", "Project plans", "Timely delivery" ], "domainKnowledge" : "Connected products; Safety; Security; Sensors; Networking; Security cameras; Doorbells; Floodlight cameras; Consumer devices; Connectivity", "domainList" : [ "connected-products", "safety", "security", "sensors", "networking", "security-cameras", "doorbells", "floodlight-cameras", "consumer-devices", "connectivity" ], "domainSpecificKnowledge" : [ "Connected products", "Safety", "Security", "Sensors", "Networking", "Security cameras", "Doorbells", "Floodlight cameras", "Consumer devices", "Connectivity" ], "communicationSkills" : "Communication skills; Report status; Technical designs; Product strategy", "documentationSkills" : "Write documents", "continuousLearning" : "Mentoring; Develop team capabilities", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Complex problems", "outcomesObjectives" : "Impact millions of customers; Achieve results in fast-paced environment; Deliver committed results; Deliver reliable and performant security devices", "qualificationsBasic" : "Engineering team management experience, Experience working directly within engineering teams, Experience designing or architecting systems, Knowledge of engineering practices for full SDLC, Experience partnering with product or program management", "qualificationsPreferred" : "Experience communicating with users, technical teams, and leadership, Experience recruiting, hiring, mentoring, and managing engineers, Experience delivering products against plan, Bachelor's degree or foreign equivalent in CS, Engineering, or Math, Experience with AI/ML technologies, Camera and Computer Vision knowledge, Video and audio knowledge, Low power or battery power systems knowledge, Embedded system knowledge, System architecture design for consumer devices knowledge, C/C++ programming skill, Motion sensor technologies knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ring is looking for a Software Development Manager responsible for leading a team of engineers working on the development and production of products, focusing on safety and security based connected products, including sensors, networking back-up systems, connected accessories for security cameras, doorbells, and outdoor floodlight cameras. This team's work directly impacts millions of Ring customers worldwide. A successful candidate will have strong technical skills, excellent project management skills, great communication skills, people management skills, and motivation to achieve results in a fast-paced environment. You will work closely with our device engineering team globally, as well as cloud and mobile teams. You must be responsive and able to succeed within an open and collaborative peer environment. Key job responsibilities - Own software development and QA end to end. - Work closely with engineers to architect and develop strong technical designs. - Execute against project plans and provide timely delivery of committed results. - Manage day-to-day activities of the engineering team within an Agile/Scrum environment. - Manage department resources, staffing and mentoring. - Build, enhance, and maintain engineering team. - Work closely with engineers to architect and develop strong technical designs. - Report on status of development, quality, operations, and system performance to management. - Maintain and enhance software framework. A day in the life The successful candidate will have an enormous opportunity to make a large impact on products used every day by customers around the world. Your work is very hands-on and multi-disciplinary. You will be working closely with vendors, engineers, and product teams. You will write documents, lead reviews and discussions, mentor and develop your team while driving cross-functional collaboration, make critical technical decisions and help build up your team’s capabilities. About the team Ring's mission is to reduce crime in neighborhoods. Ring is committed to offering smart security solutions that are dependable and reliable. You will be part of a fast-paced team that is passionate about delivering innovative solutions to complex problems. Our goal is to deliver the most reliable and performant security devices that makes our customers feel “Always Home”. Basic Qualifications: - Experience in engineering team management - Experience working directly within engineering teams - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience with AI/ML technologies - Strong knowledge in one or more of the following areas: (i) Camera and Computer Vision technologies; (ii) Video and audio streaming; (iii) Low power or battery power systems design; (iv) Embedded system design; (v) System architecture design for consumer devices with connectivity (WiFi, BLE); (vi) Programming skill include C/C++; and (vi) motion sensor technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 212,700.00 - 287,700.00 USD annually", "summaryDescription" : "Software Development Manager at Amazon.com Services LLC. Skills: Software development management, System architecture, Product development, Team leadership. Own software development and QA end to end. Architect and develop technical designs", "postedDate" : "2026-06-13T14:59:15.370", "createdAt" : "2026-06-13T14:59:15.370", "lastUpdated" : "2026-06-15T02:06:28.464", "ingestTimestamp" : "2026-06-13T14:59:15.370", "mongoId" : "69f9e2d54c40e2acd12a66e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411163/apply", "salaryAnnualMin" : 212000, "salaryAnnualMax" : 287000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Software development", "Quality assurance", "System architecture", "Embedded systems", "Computer vision", "Video processing", "Audio processing", "Low power systems", "Battery power systems", "Connectivity systems", "Leadership", "Software development management", "Product development", "Team leadership", "Project management", "System design", "Product strategy", "Resource management", "Staffing", "Mentoring", "Agile/Scrum", "Project plans", "Timely delivery", "Connected products", "Safety", 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"jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 840.02106, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "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. 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Product managers; Frontend engineers; DevOps", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Hybrid workforces; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Content localization", "domainList" : [ "agentic-ai", "hybrid-workforces", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "content-localization" ], "domainSpecificKnowledge" : [ "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization" ], "toolProficiency" : [ "ELK", "EFK", "Prometheus", "Grafana" ], "documentationSkills" : "Well-documented C# code", "continuousLearning" : "Continuous learning", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Solve real-world customer challenges; Ensure seamless integration of services", "qualificationsBasic" : "8+ years Software Engineer, 3+ years .NET, 3+ years C#, 2+ years product companies (SaaS), Upper-intermediate English proficiency", "qualificationsPreferred" : "Experience with Unit tests, Experience with E2E tests, Experience with MongoDB", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base. Outcomes Design, develop, and deploy backend services and APIs that solve real-world customer challenges Optimize application performance, scalability, and security Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services Troubleshoot and resolve production issues efficiently Actively participate in code reviews, knowledge sharing, and continuous learning Requirements 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C# 2+ years of experience in product companies (SaaS) Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code Experience with writing and maintaining Unit tests and E2E tests Advanced experience with MongoDB Upper-intermediate or higher English proficiency (written and spoken) Strong problem-solving skills and a growth mindset Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination Openness to constructive feedback and value the ideas and opinions of others Our technologies Backend: .NET Core (C#), Python Frontend: Vue.js 2/3, Nuxt 3, Typescript Databases: MongoDB, PostgreSQL, Elasticsearch Messaging Queue: Kafka Cloud Provider: Amazon AWS Monitoring & Logging: ELK (EFK), Prometheus, Grafana Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: Backend services, NET Core, C#, MongoDB. Design backend services. Implement backend services", "postedDate" : "2026-06-16T01:18:23.334", "createdAt" : "2026-06-16T01:18:23.334", "lastUpdated" : "2026-06-16T12:06:01.285", "ingestTimestamp" : "2026-06-16T01:18:23.334", "mongoId" : "6a307648f292fd229c017e04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security", "Problem-solving", "Determination", "Feedback reception", "Backend services", "NET Core", "C#", "MongoDB", "System design", "Product development", "Agile", "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization", "ELK", "EFK", "Prometheus", "Grafana" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 837.3795, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf9a674d8ee00a0a9b543", "title" : "Software Development Manager", "company" : "Lightspeed Financial Services", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Software Development Manager in Toronto, Canada, adjusted for manager seniority and technology industry." }, "location" : "Toronto", "locations" : [ "Toronto" ], "timestamp" : "2026-06-16T02:29:25.483", "fingerprint" : "e5cfad49ad0cc9cdd0cf6932cb60131fbc8f2fda823814ba5d95f877b92bbbf1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/92fb6ca4-38bf-4f2b-89a2-e20615b4bf46/application", "externalId" : "92fb6ca4-38bf-4f2b-89a2-e20615b4bf46", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Toronto, Ontario, Canada; Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization. Reporting to the Director of Financial Services Foundations, you will help us lead, mentor and grow a high-performing software development team and cultivate an inclusive, inspiring working culture. Under your guidance, developers will deliver Financial Services products and services that are mission-critical to Lightspeed’s long-term vision and growth. We are looking for a leader with a solid, demonstrable technical background, who can earn the respect of developers with their knowledge and experience. You will have a proven track record of supporting, mentoring, leading and growing a development team, and of delivering high-scale cloud-based software systems. You will enjoy problem-solving and removing blockers to the team’s progress, and will have experience collaborating with Product teams and customer stakeholders. You will be an effective and clear communicator who can direction-set and track team delivery in a distributed, fast-moving and rapidly-changing agile environment. For this role, you should be located in Canada, and able to work within EST/EDT hours. We offer a choice of fully remote, partially remote or fully office-based work environments (in cities with local offices). What you’ll be responsible for: - Guiding, motivating and growing a team of software developers as they solve complex problems in the Financial Services domain - Directly and indirectly managing a team through collaboration with, and mentorship of a Technical Lead Staff Engineer - Working closely with architects, Product teams, engineering leadership and stakeholders to align on team priorities and roadmaps - Identifying, communicating and removing impediments and risks to delivery, within the team and across Financial Services as a whole - Planning and furthering the professional growth of individual team members, including 1-1s, performance reviews, ongoing feedback, goal-setting and promotions - Reporting up to engineering leadership and stakeholders on team progress and status - Finding and hiring top talent for your team and the wider organization - Providing technical and process guidance to the team during delivery What you’ll be bringing to the team: - Experience leading a team of developers through successful delivery of software products - Experience delivering microservice-driven, scalable, cloud-based applications - Strong working knowledge of Java or TypeScript or Ruby or Python - Professional experience in agile development and continuous delivery best practices - Strong written and verbal English communication skills - Ability to personally coach, mentor and drive individuals and overall teams - Strong passion for continuous learning and improvement - A quality-driven mindset with a focus on software scalability and resilience Some additional things that would be a bonus: - Experience in the Payments domain - Experience in building scalable SaaS solutions - Experience in full-stack web application development - Solid knowledge of cloud services (AWS and GCP in particular) - Project Management or Scrum master experience, or formal training - Experience in test automation and/or DevOps engineering Who you are: - A leader with strong people skills who can manage and represent your team - A teacher and mentor helping individuals to grow and reach their full potential - A communicator who can clearly convey requirements, best practices and status updates to both technical and non-technical audiences - A problem-solver who embraces tackling complexity and removing roadblocks - A decisive decision-maker who can handle change and ambiguity What is in for you - Lots of autonomy, flexible work culture and possibility of remote work - Opportunity to help shape the future of a new Product from technical, process and organizational perspectives - Development of global products - Exposure to modern and proven technology - Opportunity to learn and expand your skill set - Tons of growth opportunities into technical or people management roles - Amazing benefits & perks, including equity for all Lightspeeders - Opportunity to join a fast-paced, high-growth company - Become a valued part of the diverse and inclusive Lightspeed family At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $180000 TO $195000 CAD. Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Software Development Manager at Lightspeed Financial Services", "createdAt" : "2026-06-14T18:32:38.641", "lastUpdated" : "2026-06-16T02:29:25.483", "ingestTimestamp" : "2026-06-14T18:32:38.641", "mongoId" : "6a2cf9a674d8ee00a0a9b543", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 836.8005, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca34f74d8ee00a09ab34b", "title" : "Senior Software Developer", "company" : "TextNow, Inc.", "industry" : "Technology", "salary" : { "min" : 148700.0, "max" : 298800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San 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"Implementation decisions", "Patterns and standards", "Application development", "Experimentation speed", "Security", "Governance", "Operational excellence", "Reliability", "Observability", "Maintainability", "Cost-effective solutions", "Business stakeholders", "Technical solutions", "Product", "Engineering", "Customer Care", "Trust & Safety", "Marketing", "Finance", "Operations", "AI capabilities", "Best practices", "Reusable services", "Frameworks", "Components", "Enterprise platforms", "Business systems", "Automation workflows", "Manual effort reduction", "Operational efficiency", "AI governance", "Evaluation frameworks", "Responsible AI", "AI development", "Knowledge sharing", "Best practices", "Lessons learned", "Technical discussions", "AI strategy" ], "hardSkillsList" : [ "Prompt engineering", "Evaluation methodologies", "AI system design", "Workflow automation", "Orchestration platforms", "Retrieval systems", "Vector databases", "Knowledge management", "Agent frameworks", "Model training" ], "softSkillsList" : [ "Ownership mentality", "Pragmatic", "Curious", "Mentoring" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Evaluation methodologies", "level" : "intermediate" }, { "name" : "AI system design", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Orchestration platforms", "level" : "intermediate" }, { "name" : "Retrieval systems", "level" : "intermediate" }, { "name" : "Vector databases", "level" : "intermediate" }, { "name" : "Knowledge management", "level" : "intermediate" }, { "name" : "Agent frameworks", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mentality" }, { "name" : "Pragmatic" }, { "name" : "Curious" }, { "name" : "Mentoring" } ], "majorSkills" : "AI-Powered Solutions, LLMs, AI agents, Orchestration frameworks, Production systems", "majorSkillsList" : [ "AI-Powered Solutions", "LLMs", "AI agents", "Orchestration frameworks", "Production systems" ], "coreResponsibilities" : "Build AI-Powered Solutions, Design AI-enabled applications, Develop AI-enabled services, Deploy AI-enabled automations, Build internal tools, Build intelligent workflows, Evaluate emerging AI technologies, Rapidly prototype new concepts, Transform proofs-of-concept, Scale production systems, Drive architecture decisions, Drive implementation decisions, Define patterns for AI development, Define standards for AI development, Balance experimentation speed, Ensure solutions are reliable, Ensure solutions are observable, Ensure solutions are maintainable, Ensure solutions are cost-effective, Partner with business stakeholders, Identify AI opportunities, Translate business problems, Consult with Product teams, Consult with Engineering teams, Consult with Customer Care, Consult with Trust & Safety, Consult with Marketing, Consult with Finance, Consult with Operations, Help teams adopt AI, Help teams adopt best practices, Develop reusable AI services, Develop reusable AI frameworks, Develop reusable AI components, Create integrations with enterprise platforms, Create integrations with business systems, Design automation workflows, Reduce manual effort, Increase operational efficiency, Contribute to AI governance, Contribute to evaluation frameworks, Contribute to responsible AI, Coach engineers on AI, Coach stakeholders on AI, Share knowledge on AI, Share best practices on AI, Share lessons learned on AI, Drive technical discussions, Influence AI strategy", "teamCollaboration" : "Partner with business stakeholders; Consult with teams; Help teams adopt AI; Coach engineers and stakeholders", "projectManagementSkills" : [ "Lead projects" ], "domainKnowledge" : "AI-powered solutions; LLMs; AI agents; Orchestration frameworks; Responsible AI", "domainList" : [ "ai-powered-solutions", "llms", "ai-agents", "orchestration-frameworks", "responsible-ai" ], "domainSpecificKnowledge" : [ "AI-powered solutions", "LLMs", "AI agents", "Orchestration frameworks", "Responsible AI" ], "toolProficiency" : [ "OpenAI", "Anthropic", "Google" ], "communicationSkills" : "Communicate with audiences", "continuousLearning" : "Learning & Development opportunities", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Translate business problems; Root cause analysis", "outcomesObjectives" : "Create measurable impact; Transform AI opportunities; Accelerate AI adoption; Reduce manual effort; Increase operational efficiency", "qualificationsBasic" : "5+ years software development, Design production-grade software, Programming in Go, Python, TypeScript, Ruby, Cloud platforms experience, Modern deployment practices, Build applications with LLMs, Train custom models, Prompt engineering, Evaluation methodologies, AI system design, Workflow automation, Orchestration platforms, Retrieval systems, Vector databases, Knowledge management, Agent frameworks, Operate in ambiguous environments, Communicate with audiences, Lead projects from concept, Identify opportunities independently, Drive execution", "qualificationsPreferred" : "Enterprise AI solutions experience, OpenAI, Anthropic, Google ecosystems, Open-source model ecosystems, Observability experience, AI performance monitoring, AI governance frameworks, AI evaluation frameworks, AI security frameworks, Telecommunications industry experience, Internal developer productivity tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We believe that communication belongs to everyone. Our mission is to democratize phone service and remove barriers that prevent people from staying connected. As TextNow continues to evolve, Artificial Intelligence is becoming a foundational capability across our products, operations, and employee experience. Our AI Labs team is responsible for identifying, validating, and scaling AI-powered solutions that create measurable impact for customers and employees. We're looking for a Senior Software Developer who can help transform AI opportunities into production-ready systems, partner with stakeholders across the business, and accelerate TextNow's adoption of AI technologies. What You'll Do Build AI-Powered Solutions Design, develop, and deploy AI-enabled applications, services, and automations Build internal tools and intelligent workflows using LLMs, AI agents, and orchestration frameworks Evaluate emerging AI technologies and rapidly prototype new concepts Transform proofs-of-concept into scalable production systems Lead Technical Delivery Drive architecture and implementation decisions for AI initiatives Define patterns and standards for AI application development Balance experimentation speed with security, governance, and operational excellence Ensure solutions are reliable, observable, maintainable, and cost-effective Enable the Organization Partner with business stakeholders to identify high-value AI opportunities Translate business problems into technical solutions Consult with teams across Product, Engineering, Customer Care, Trust & Safety, Marketing, Finance, and Operations Help teams adopt AI capabilities and best practices Build Internal AI Capabilities Develop reusable AI services, frameworks, and components Create integrations with enterprise platforms and business systems Design automation workflows that reduce manual effort and increase operational efficiency Contribute to AI governance, evaluation frameworks, and responsible AI practices Mentor and Influence Coach engineers and technical stakeholders on AI development approaches Share knowledge, best practices, and lessons learned Drive technical discussions and influence the direction of TextNow's AI strategy What You Bring Technical Experience 5+ years of software development experience Experience designing and delivering production-grade software systems Strong programming skills in one or more modern languages (Go, Python, TypeScript, Ruby, or similar) Experience with cloud platforms and modern deployment practices AI & Automation Experience Hands-on experience building applications with Large Language Models Experience training custom models Understanding of prompt engineering, evaluation methodologies, and AI system design Experience with workflow automation and orchestration platforms Familiarity with retrieval systems, vector databases, knowledge management, or agent frameworks Delivery & Collaboration Comfortable operating in ambiguous environments with evolving requirements Strong communication skills with technical and non-technical audiences Demonstrated ability to lead projects from concept through deployment Ability to identify opportunities independently and drive execution Mindset Curious and pragmatic Strong ownership mentality Bias toward experimentation and learning Able to balance speed with long-term sustainability Excited by solving business problems using technology Nice to Have Experience building enterprise AI solutions Experience with OpenAI, Anthropic, Google, or open-source model ecosystems Experience with observability and AI performance monitoring Experience implementing AI governance, evaluation, or security frameworks Telecommunications industry experience Experience building internal developer productivity tools Base Salary Range The expected base salary range for this role is: $136,300 - $273,900 a year United States (All other areas not listed above): USD $123,900 - $249,000  United States (NYC, CT, NJ, Seattle, LA, San Diego): USD $136,300 - $273,900  United States (San Francisco / Bay Area): USD $148,700 - $298,800  Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. Our goal is to offer a competitive package that reflects the impact and expertise you bring to the team. This posting is for a current, active vacancy. More about TextNow Our culture We’re proud of the culture that we’ve built at TextNow, but one of the most common questions we hear is ‘how do you continue to sustain it as the world and the company continues to change?’ The reality is that we’re only able to keep up because each and every TextNovian contributes to our culture through being involved, by living our values, sharing feedback, embracing change and more!  Our values Customer Obsessed We strive to have a deep understanding of our customers. Do Right By Our People We treat each other with fairness, respect, and integrity. Accept the Challenge We adopt a \"Yes, We Can\" mindset to achieve ambitious goals. Act Like an Owner We treat this company like it's our own... because it is! Give a Damn We are deeply committed and passionate about our work and achieving results. Our benefits and more This is a brief overview of the benefits that TextNow offers its employees. More complete details can be found in TextNow’s Benefit Guide and legal plan documents, which are available to employees on or shortly after their start date with TextNow. The benefits listed herein are for illustrative purposes only and may change from time-to-time in TextNow’s sole discretion. Free phone service Strong work life blend  Employee stock options  Unlimited vacation  12 paid holidays per year Competitive pay Health, dental, and vision benefits Short-term & long-term disability $750 annual wellness benefit or healthcare spending account 401(K) matching Parental leave for eligible employees Learning & Development opportunities We travel a few times a year for various team events, company-wide off-sites, and more More information about our total rewards package will be available during the hiring process. Dogfooding & Customer Obsession At TextNow, every employee gets to actively use our app for calling and texting. Dogfooding helps us experience what customers do, to spot issues early, and drive better design, developer, and user experiences. Diversity and Inclusion Our aim is to make every person who joins TextNow feel like they belong, that they’re valued, and that they’re able to be their authentic selves at work.  We’re all accountable for creating an inclusive culture and a sense of belonging for one another. By doing this together, we’ll make TextNow better for everyone.  Equal opportunity We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Applicants who require reasonable accommodation during the hiring process may contact our Talent Team. AI usage: We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact our Talent Team. TextNow Candidate Policy By submitting an application to TextNow, you agree to the collection, use, and disclosure of your personal information in accordance with the TextNow Candidate Policy", "summaryDescription" : "Senior Software Developer at TextNow, Inc.. Skills: AI-Powered Solutions, LLMs, AI agents, Orchestration frameworks, Production systems. Build AI-Powered Solutions. Design AI-enabled applications", "postedDate" : "2026-06-13T22:51:22.095", "createdAt" : "2026-06-13T22:51:22.095", "lastUpdated" : "2026-06-15T10:27:07.819", "ingestTimestamp" : "2026-06-13T22:51:22.095", "mongoId" : "6a2ca34f74d8ee00a09ab34b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148700, "salaryAnnualMax" : 298800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Evaluation methodologies", "AI system design", "Workflow automation", "Orchestration platforms", "Retrieval systems", "Vector databases", "Knowledge management", "Agent frameworks", "Model training", "Ownership mentality", "Pragmatic", "Curious", "Mentoring", "AI-Powered Solutions", "LLMs", "AI agents", "Orchestration frameworks", "Production systems", "Technical delivery", "Architecture decisions", "Implementation decisions", "Patterns and standards", "Application development", "Experimentation speed", "Security", "Governance", "Operational excellence", "Reliability", "Observability", "Maintainability", "Cost-effective solutions", "Business stakeholders", "Technical solutions", "Product", "Engineering", "Customer Care", "Trust & Safety", "Marketing", "Finance", "Operations", "AI capabilities", "Best practices", "Reusable services", "Frameworks", "Components", "Enterprise platforms", "Business systems", "Automation workflows", "Manual effort reduction", "Operational efficiency", "AI governance", "Evaluation frameworks", "Responsible AI", "AI development", "Knowledge sharing", "Lessons learned", "Technical discussions", "AI strategy", "Lead projects", "AI-powered solutions", "OpenAI", "Anthropic", "Google" ], "skillCount" : 64, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 835.8317, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f032beec4dd3d933f68", "title" : "Sr. Software Development Manager, Frontier AI", "company" : "Amazon.com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 100000.0, "max" : 342300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T08:06:28.420", "fingerprint" : "c222dcc78fb5ccb81f325197d57495f2c82f907b84315b10a6841847d2a9a821", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382779/apply", "externalId" : "df4a080f-67b4-4e38-a24b-3cc668356e94", "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" : 10, "experienceLevel" : "Manager", "technicalSkills" : "Cloud computing, Distributed systems, AI, Machine Learning, Data Engineering, Cybersecurity, Software Development", "professionalSkills" : [ "System design", "Team leadership", "Strategic planning", "Product development" ], "hardSkillsList" : [ "Software architecture", "Algorithm design", "Data structures" ], "hardSkills" : [ { "name" : "Software architecture", "level" : "intermediate" }, { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" } ], "majorSkills" : "Software Development Management, AI/ML, Cloud Computing", "majorSkillsList" : [ "Software Development Management", "AI/ML", "Cloud Computing" ], "coreResponsibilities" : "Define and drive the technical vision, Build and lead high-performing engineering teams, Oversee the design, development, and deployment of software, Collaborate with product management, Ensure the quality and scalability of systems, Foster a culture of innovation, Manage project timelines and resources, Mentor and develop engineers", "teamCollaboration" : "Cross-functional teams; Product management; Other engineering teams", "projectManagementSkills" : [ "Agile methodologies", "Project planning", "Resource allocation" ], "domainKnowledge" : "Frontier AI; Large-scale systems; Cloud infrastructure; AI/ML models", "domainList" : [ "frontier-ai", "large-scale-systems", "cloud-infrastructure", "ai-ml-models" ], "domainSpecificKnowledge" : [ "Frontier AI", "Large-scale systems", "Cloud infrastructure", "AI/ML models" ], "communicationSkills" : "Technical presentations; Stakeholder communication", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Complex problem solving", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 10+ years of experience in software development, 5+ years of experience managing software development teams, Experience with cloud computing platforms, Experience with large-scale distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with AI/ML technologies, Experience with data engineering pipelines, Experience with cybersecurity principles", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "In this role, you'll combine hands-on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities * You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation. * Work together with AI researchers to implement and optimize training of new model architectures at a large scale * Define roadmap and build physics realistic simulation environment for reinforcement learning, closed-loop simulations and synthetic data generation. * Implement tooling for data creation, model experimentation, and continuous integration About the team At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications: - 10+ years of engineering experience - 5+ years of engineering team management experience - Experience managing multiple concurrent programs, projects and development teams in an Agile environment - Proficiency in Python and C++, experience in building large-scale training infrastructure using PyTorch - Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry-equivalent technology (3D animation, simulation, etc) - 10+ years of planning, designing, developing and delivering infrastructure software - Experience partnering with product or program management science teams working in research environments Preferred Qualifications: - Experience designing and developing large scale, high-traffic applications - Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions. - Deep understanding of different model architecture like VLM, Imitation learning, VLA - Experience implementing techniques from research papers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 253,100.00 - 342,300.00 USD annually USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually", "summaryDescription" : "Sr. Software Development Manager, Frontier AI at Amazon.com Services LLC. Skills: Software Development Management, AI/ML, Cloud Computing. Define and drive the technical vision. Build and lead high-performing engineering teams", "postedDate" : "2026-06-13T18:34:36.254", "createdAt" : "2026-06-13T18:34:36.254", "lastUpdated" : "2026-06-15T08:06:28.420", "ingestTimestamp" : "2026-06-13T18:34:36.254", "mongoId" : "69cf3f032beec4dd3d933f68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382779/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 342300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software architecture", "Algorithm design", "Data structures", "Software Development Management", "AI/ML", "Cloud Computing", "System design", "Team leadership", "Strategic planning", "Product development", "Agile methodologies", "Project planning", "Resource allocation", "Frontier AI", "Large-scale systems", "Cloud infrastructure", "AI/ML models" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 834.302, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3078dcf292fd229c02d5ed", "title" : "Senior AI Software Engineer, Agent Systems", "industry" : "Tech & Finance", "salary" : { "min" : 2500.0, "max" : 3000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T14:17:20.165", "fingerprint" : "2d3050978fcc4c5e2f2058b1635e04f16bb54f554a433b8a14824f9b8d13b08c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Scale%20Army%20Careers/c1aa7444-f7dc-4394-95f3-2fb75d931bdb/application", "externalId" : "c1aa7444-f7dc-4394-95f3-2fb75d931bdb", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TypeScript, Node, AWS, ECS, Fargate, Docker, CI/CD, Claude Code, Codex, MCP, NestJS, Prisma", "professionalSkills" : [ "Loop engineering", "Swarm engineering", "System design", "Observability", "Cost control" ], "hardSkillsList" : [ "Agent systems", "Self-running loops", "Multi-agent swarms", "Control loop design", "Agent orchestration", "State management", "Memory management", "API development", "Service development", "Queue management", "Integration development", "Testing", "Tracing", "Verification", "Evals", "Reviewer agents", "Persistent state", "Context assembly", "Function calling", "Reason-act-observe loop patterns" ], "hardSkills" : [ { "name" : "Agent systems", "level" : "intermediate" }, { "name" : "Self-running loops", "level" : "intermediate" }, { "name" : "Multi-agent swarms", "level" : "intermediate" }, { "name" : "Control loop design", "level" : "intermediate" }, { "name" : "Agent orchestration", "level" : "intermediate" }, { "name" : "State management", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Service development", "level" : "intermediate" }, { "name" : "Queue management", "level" : "intermediate" }, { "name" : "Integration development", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Tracing", "level" : "intermediate" }, { "name" : "Verification", "level" : "intermediate" }, { "name" : "Evals", "level" : "intermediate" }, { "name" : "Reviewer agents", "level" : "intermediate" }, { "name" : "Persistent state", "level" : "intermediate" }, { "name" : "Context assembly", "level" : "intermediate" }, { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Reason-act-observe loop patterns", "level" : "intermediate" } ], "majorSkills" : "Agent Systems, Loop Engineering, Swarm Agents, Production Code", "majorSkillsList" : [ "Agent Systems", "Loop Engineering", "Swarm Agents", "Production Code" ], "coreResponsibilities" : "Design self-running loops, Define trigger, scope, action, budget, stop condition, reporting, Build multi-agent swarms, Orchestrate specialized agents, Manage shared state or mailbox, Implement quality gates, Ensure clean handoffs, Make verification first-class, Build checks, evals, and reviewer agents, Catch confident mistakes, Own agent state and memory, Assemble per-turn context, Ship platform around agents, Develop APIs, services, queues, integrations, Deploy to AWS, Implement real tests, tracing, observability, Keep humans in the loop, Plan approval, Pull request review, Manage comprehension debt", "teamCollaboration" : "Cross-functional teams; Human approval; Senior review; Agent proposals", "projectManagementSkills" : [ "Plan approval", "Pull request review" ], "domainKnowledge" : "Agent systems; Loop engineering; Swarm agents; Control loops; Multi-agent systems; Developer tooling; Orchestration frameworks; Agent platforms; Continual learning systems; Cloud-native architecture", "domainList" : [ "agent-systems", "loop-engineering", "swarm-agents", "control-loops", "multi-agent-systems", "developer-tooling", "orchestration-frameworks", "agent-platforms", "continual-learning-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Agent systems", "Loop engineering", "Swarm agents", "Control loops", "Multi-agent systems", "Developer tooling", "Orchestration frameworks", "Agent platforms", "Continual learning systems", "Cloud-native architecture" ], "toolProficiency" : [ "NestJS", "Prisma", "AWS", "ECS", "Fargate", "Docker", "GitHub Actions", "Claude", "Claude Code", "Codex", "MCP" ], "communicationSkills" : "Technical documentation; Active management", "documentationSkills" : "Technical documentation; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Debugging; Troubleshooting", "specialRequirements" : "Work during U.S. business hours", "outcomesObjectives" : "Ship at least one self-running loop; Extend or harden multi-agent workflow; Improve observability or cost control", "qualificationsBasic" : "5+ years writing production software, Designed agent loops with explicit stop conditions, Built or operated systems where multiple agents coordinate, Solid TypeScript and Node, Comfort with a service framework, Comfort with a typed data layer, AWS (ECS or Fargate or similar), Docker, CI/CD, Treat 'done' as a claim to be proven", "qualificationsPreferred" : "Running 10+ parallel agents, Managing token and cost budgets at scale, Distributed systems, Queues, Event-driven design, React for agent-facing interfaces, Prior work on developer tooling, Prior work on orchestration frameworks, Prior work on internal agent platforms, Familiarity with continual learning systems, SOC 2 awareness, ISO 27001 awareness", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. You build production agent systems that run themselves. Not prompts, loops. Not a single assistant, a coordinated swarm. The role: We build and ship agent platforms that do real work in production. This role is for an engineer who designs self-running agent loops and multi-agent swarms, not someone who tweaks prompts one turn at a time. You will own systems that find work, do it, verify it, and report back, with humans at the gates rather than in every iteration. This is a hands-on, ship-first engineering role. You write production code other engineers trust, and you treat agents as software systems that need triggers, budgets, stop conditions, verification, and observability like any other. What we mean by loop engineering: designing an agent system as a control loop with an explicit trigger, scope, action, budget, stop condition, and report, plus a verifier that can reject bad work, so it runs unattended and knows when to stop or hand back to a human. Not a bigger prompt. A system that prompts the agents for you. What we mean by swarm agents: a coordinated fleet of specialized agents (planner, builder, reviewer, verifier, scout, coordinator) with file and task ownership, shared state, quality gates, and clean handoffs, run by an orchestrator rather than one do-everything assistant. What you'll do - Design self-running loops. Define the trigger, scope, action, budget, stop condition, and reporting so an agent runs unattended, stays inside cost and iteration limits, and knows when it is done versus when to escalate. - Build multi-agent swarms. Orchestrator plus specialized agents with clear file and task ownership, shared state or a shared mailbox, quality gates between stages, and handoffs that do not step on each other. - Make verification first-class. Build the part of the system that can say no: the checks, evals, and reviewer agents that catch confident mistakes before they merge. A loop is only as trustworthy as its ability to check its own work. - Own agent state and memory. Persistent on-disk state and per-turn context assembly so long-running tasks survive restarts and the system does not forget what the repo already knows. - Ship the platform around the agents. APIs, services, queues, and integrations in TypeScript and Node, deployed to AWS, with real tests, tracing, and observability for long multi-iteration runs. - Keep humans in the loop where it counts. Plan approval and pull request review, and active management of comprehension debt so the team understands what the swarm ships, not just that it shipped. What we're looking for - Strong engineering fundamentals. 5+ years writing production software that other engineers depend on. (Adjustable; we care more about what you have shipped than the number.) - Hands-on loop engineering. You have designed agent loops with explicit stop conditions, budgets, retries, and self-verification. You can explain the difference between a task on repeat and a real loop, and you know why the verifier matters as much as the maker. - Multi-agent or swarm experience. You have built or operated systems where multiple agents coordinate: orchestration, handoffs, shared state, ownership or locking, and quality gates. - Fluency with modern agent tooling. Claude Code or Codex style agents, sub-agents, persistent memory and skills files, tool and function calling, MCP, and reason-act-observe loop patterns. - Solid TypeScript and Node. Comfort with a service framework (NestJS or similar) and a typed data layer (Prisma or similar). - Cloud and delivery. AWS (ECS or Fargate or similar), Docker, and CI/CD. You can take something from repo to production yourself. - A verification mindset. You treat \"done\" as a claim to be proven, and you build the checks that prove it. Nice to have - Running 10+ parallel agents and managing token and cost budgets at scale - Distributed systems, queues, and event-driven design - React for agent-facing interfaces - Prior work on developer tooling, orchestration frameworks, or internal agent platforms - Familiarity with where loop engineering is heading next, including continual learning systems - SOC 2 or ISO 27001 awareness for handling client data How we work - Plan, approve, execute. Agents propose, a human approves the plan, agents build, a senior reviews every pull request before merge. - Small loops over big prompts. We design systems that discover work, do it, check it, and report, while we watch instead of type. - Ship. Bias to production. Working software in front of users beats a perfect design doc. - Direct and concise. Strong opinions, loosely held. Say the hard thing early. What success looks like in 90 days - You have shipped at least one self-running loop into production with a verifier the team trusts. - You have extended or hardened a multi-agent workflow with clear ownership and quality gates. - You have improved observability or cost control on an existing agent system so we can debug and trust long runs. Tech environment TypeScript, NestJS, React, Turborepo monorepo, Prisma, AWS ECS Fargate, Docker, GitHub Actions. Agent layer built on Claude and Claude Code patterns, MCP, sub-agents, and persistent memory. APPLICATION PROCESS: TO BE CONSIDERED FOR THIS ROLE THESE STEPS NEED TO BE FOLLOWED: - Fill in the application form - Record a video showcasing your skill sets", "summaryDescription" : "Senior AI Software Engineer, Agent Systems. Skills: Agent Systems, Loop Engineering, Swarm Agents, Production Code. Design self-running loops. Define trigger, scope, action, budget, stop condition, reporting", "createdAt" : "2026-06-16T01:59:24.452", "lastUpdated" : "2026-06-16T14:17:20.165", "ingestTimestamp" : "2026-06-16T01:59:24.452", "mongoId" : "6a3078dcf292fd229c02d5ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 2500, "salaryAnnualMax" : 3000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Agent systems", "Self-running loops", "Multi-agent swarms", "Control loop design", "Agent orchestration", "State management", "Memory management", "API development", "Service development", "Queue management", "Integration development", "Testing", "Tracing", "Verification", "Evals", "Reviewer agents", "Persistent state", "Context assembly", "Function calling", "Reason-act-observe loop patterns", "Agent Systems", "Loop Engineering", "Swarm Agents", "Production Code", "Loop engineering", "Swarm engineering", "System design", "Observability", "Cost control", "Plan approval", "Pull request review", "Swarm agents", "Control loops", "Multi-agent systems", "Developer tooling", "Orchestration frameworks", "Agent platforms", "Continual learning systems", "Cloud-native architecture", "NestJS", "Prisma", "AWS", "ECS", "Fargate", "Docker", "GitHub Actions", "Claude", "Claude Code", "Codex", "MCP" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 830.87775, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69d3e6b92beec4dd3d3f7415", "title" : "Sr. Developer Advocate, Italy, AWS Developer Experience", "company" : "AWS EMEA SARL (Italy Branch)", "industry" : "Marketing PR, Evangelist (Tech) Job Family, Cloud Computing", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Developer Advocate in Milan, Italy, adjusted for the technology industry and AWS's company size." }, "location" : "Milan, Lombardy, ITA", "locations" : [ "Milan, Lombardy, ITA" ], "timestamp" : "2026-06-15T07:30:26.968", "fingerprint" : "69c0e1a7f4e23512d3ecb87b3fb038baab6946f975fc4f034a4acc0472cf5ded", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384011/apply", "externalId" : "9721105e-abf6-4c86-8c5a-41796f4a8736", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "state" : "Lombardy", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Lombardy, Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, AI, Generative AI", "professionalSkills" : [ "Software development expertise", "Communication skills", "Technical content creation" ], "hardSkillsList" : [ "Hands-on building skills" ], "hardSkills" : [ { "name" : "Hands-on building skills", "level" : "intermediate" } ], "majorSkills" : "Developer Experience, AI, Software development", "majorSkillsList" : [ "Developer Experience", "AI", "Software development" ], "coreResponsibilities" : "Drive technical initiatives, Create compelling technical content, Deliver compelling technical content, Build developer community, Nurture developer community, Develop best practices, Share best practices, Collaborate with internal teams, Influence product roadmaps, Create regional content, Engage with open source communities, Maintain presence in regional networks, Work with local partners, Work with educational institutions, Work with open source organizations", "teamCollaboration" : "Community Managers; Internal teams; Developer community", "domainKnowledge" : "AI; Software development; Cloud computing", "domainList" : [ "ai", "software-development", "cloud-computing" ], "domainSpecificKnowledge" : [ "AI", "Software development", "Cloud computing" ], "communicationSkills" : "Technical content creation", "documentationSkills" : "Code samples; Architecture patterns; Blog posts; Implementation guides", "innovationCreativity" : "Shape the future; Influence how applications are built", "specialRequirements" : "Willingness to travel within Europe", "qualificationsBasic" : "5 years experience in software development, Native-level Italian language skills, Fluent English, Willingness to travel within Europe", "qualificationsPreferred" : "Track record of developer advocacy, History of technical content creation, Experience with cloud computing platforms, AWS knowledge a plus, Understanding of Italy's technical ecosystem", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS is seeking a Senior Developer Advocate to shape the future of software development and AI in Italy. About the Role As a Senior Developer Advocate on our Developer Experience team, you'll help developers navigate the fundamental shifts AI is bringing to software development. You'll combine deep software development expertise with exceptional communication skills to guide developers through adopting AI-powered tools, understanding new workflows, and adapting their practices as AI transforms how code is written, reviewed, and deployed. What You'll Do You'll influence how the next generation of applications are built, with particular focus on: - AI coding assistants and agentic AI - Emerging software development practices and tools - Developer experience and productivity You'll also serve as a critical bridge between the developer community and AWS product teams. By gathering insights, feedback, and real-world use cases from developers, you'll influence how our products are built and ensure they meet the evolving needs of the community. This role places you at the intersection of innovation and education, working alongside creators and innovators in this rapidly evolving space. Our ideal candidate brings strong software development experience and hands-on building skills, current knowledge of how software development is evolving, and ability to translate technical content into understandable, engaging material for broader audiences Key job responsibilities - Drive technical initiatives that showcase modern software development practices, emphasizing the role of AI and how to build on AWS - Create and deliver compelling technical content in Italian and English through conference talks, workshops, live coding sessions and written media - Build and nurture the developer community across Italy, with a particular focus on professional developers and students, in collaboration with our Community Managers - Develop and share best practices for building modern applications using AI - Collaborate with internal teams to influence product roadmaps based on the Italian developer community feedback - Create regional content including code samples, architecture patterns, blog posts, and implementation guides - Engage with open source communities and maintain strong presence in regional developer networks - Work with local partners, educational institutions, and open source organizations to grow the next generation of developers About the team The EMEA Developer Relations is part of the global Developer Experience team. We empower developers to innovate on AWS by providing exceptional experiences, fostering vibrant communities, and amplifying their voices. Through authentic advocacy and open source leadership, we transform builders into passionate AWS champions. We show developers them how to practically use new technologies to build efficiently in the cloud. We educate and excite them in their journey, to tackle more complex cloud problems and build new solutions that leverage generative AI. We earn trust with developers by being authentic, and by being practitioners ourselves. We are on an exciting journey together, and not everything is solved. Basic Qualifications: - Willingness to travel within Europe - Native-level Italian language skills and fluent English - 5 years experience in software development in professional environments - Experience with modern development tools and practices Preferred Qualifications: - Track record of developer advocacy - History of technical content creation (blogs, talks, videos, etc.) - Experience with cloud computing platforms (AWS knowledge a plus) - Understanding of Italy's technical ecosystem Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Developer Advocate, Italy, AWS Developer Experience at AWS EMEA SARL (Italy Branch). Skills: Developer Experience, AI, Software development. Drive technical initiatives. Create compelling technical content", "postedDate" : "2026-06-13T17:49:58.560", "createdAt" : "2026-06-13T17:49:58.560", "lastUpdated" : "2026-06-15T07:30:26.968", "ingestTimestamp" : "2026-06-13T17:49:58.560", "mongoId" : "69d3e6b92beec4dd3d3f7415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384011/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Hands-on building skills", "Developer Experience", "AI", "Software development", "Software development expertise", "Communication skills", "Technical content creation", "Cloud computing" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 829.7337, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa542", "title" : "Senior Software Engineer, AI Transformation", "industry" : "IT", "salary" : { "min" : 75000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Senior Software Engineer role in the Technology industry, with a remote work mode." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:04:35.105", "fingerprint" : "a813776ae7f65706f3938728680be1e35351027aff9b9aa72c39bb9d3f75774e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/c2319b84-682e-448b-9956-8d71856fb796/apply", "externalId" : "c2319b84-682e-448b-9956-8d71856fb796", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Go, TypeScript, Node.js, Ruby, LLM platforms, AWS Bedrock, OpenAI, Anthropic, LangChain, LiteLLM, REST, GraphQL, AWS, AI, LLM", "professionalSkills" : [ "Backend engineering", "System design", "Infrastructure", "Developer tools", "Internal platforms", "Stakeholder management" ], "hardSkillsList" : [ "AI inference pipelines", "Tool-calling", "Orchestration", "Agentic systems", "Event-driven systems", "Workflow automation" ], "softSkillsList" : [ "Cross-functional collaboration" ], "hardSkills" : [ { "name" : "AI inference pipelines", "level" : "intermediate" }, { "name" : "Tool-calling", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Agentic systems", "level" : "intermediate" }, { "name" : "Event-driven systems", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Cross-functional collaboration" } ], "majorSkills" : "AI Transformation, LLM Systems, Developer Tools, Backend Services", "majorSkillsList" : [ "AI Transformation", "LLM Systems", "Developer Tools", "Backend Services" ], "coreResponsibilities" : "Design AI-powered developer tools, Build AI-powered developer tools, Integrate AI tools into workflows, Develop backend services, Maintain backend services, Support LLM-driven workflows, Implement AI inference pipelines, Evolve AI inference pipelines, Partner with engineering teams, Partner with product teams, Partner with infrastructure teams, Define AI-augmented SDLC patterns, Build internal chat-based tools, Build internal automation tools, Orchestrate systems through agent interfaces, Orchestrate services through agent interfaces, Instrument AI usage, Monitor AI usage, Analyze AI usage, Instrument AI performance, Monitor AI performance, Analyze AI performance, Instrument AI cost, Monitor AI cost, Analyze AI cost, Instrument AI reliability, Monitor AI reliability, Analyze AI reliability, Develop reusable libraries, Develop reusable templates, Develop reusable frameworks, Enable teams to adopt AI workflows, Collaborate with security teams, Collaborate with compliance teams, Ensure safe handling of sensitive data, Contribute to documentation, Contribute to training materials, Contribute to enablement sessions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Infrastructure teams; Security teams; Compliance teams", "domainKnowledge" : "AI-powered systems; LLM-driven workflows; AI inference pipelines; AI-augmented SDLC; Agent-driven interfaces; Sensitive data handling; Healthcare data; PHI data", "domainList" : [ "ai-powered-systems", "llm-driven-workflows", "ai-inference-pipelines", "ai-augmented-sdlc", "agent-driven-interfaces", "sensitive-data-handling", "healthcare-data", "phi-data" ], "domainSpecificKnowledge" : [ "AI-powered systems", "LLM-driven workflows", "AI inference pipelines", "AI-augmented SDLC", "Agent-driven interfaces", "Sensitive data handling", "Healthcare data", "PHI data" ], "toolProficiency" : [ "IDEs", "Slack", "Observability platforms", "Terraform" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Documentation; Training materials", "innovationCreativity" : "AI Transformation", "problemSolvingSkills" : "Translate complex workflows", "qualificationsBasic" : "8+ years software engineering experience, Backend engineering expertise, Hands-on AI/LLM systems experience, Proficiency in Python, Go, TypeScript/Node.js, or Ruby, Hands-on LLM platforms or orchestration frameworks experience, Experience designing and building backend services, APIs, or event-driven systems, Proven experience integrating AI capabilities into workflows, Understanding of AWS cloud infrastructure, Secure-by-design engineering practices, Experience building internal tools, Ability to translate operational workflows into technical solutions", "qualificationsPreferred" : "Observability tools experience, Terraform experience, Slack apps experience, Experience in regulated environments, Experience with sensitive data (healthcare or PHI)", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities This role focuses on building and scaling internal AI-powered systems that transform how software is developed, tested, and operated across engineering teams. Design and build AI-powered developer tools integrated into everyday engineering workflows such as IDEs, Slack, documentation systems, and observability platforms Develop and maintain backend services and infrastructure that support LLM-driven workflows, including tool-calling, orchestration, and agentic systems Implement and evolve AI inference pipelines using modern LLM platforms and frameworks, ensuring reliability, security, and performance at scale Partner with engineering, product, and infrastructure teams to define AI-augmented software development lifecycle (SDLC) patterns Build internal chat-based and automation tools that safely orchestrate systems and services through agent-driven interfaces Instrument, monitor, and analyze AI usage, performance, cost, and reliability to guide engineering and leadership decisions Develop reusable libraries, templates, and frameworks that enable teams to adopt AI workflows consistently and securely Collaborate with security and compliance teams to ensure safe handling of sensitive data, including healthcare-related information Contribute to documentation, training materials, and enablement sessions to support organization-wide adoption of AI tools Requirements This role requires strong backend engineering expertise combined with hands-on experience building and integrating AI/LLM-based systems in production environments. 8+ years of software engineering experience, ideally focused on infrastructure, developer tools, or internal platforms Strong proficiency in at least one backend programming language such as Python, Go, TypeScript/Node.js, or Ruby Hands-on experience working with LLM platforms or orchestration frameworks (e.g., AWS Bedrock, OpenAI, Anthropic, LangChain, LiteLLM, or similar) Experience designing and building backend services, APIs (REST/GraphQL), or event-driven systems at scale Proven experience integrating AI capabilities into real-world workflows, including tool-calling, agents, or multi-step orchestration systems Strong understanding of AWS cloud infrastructure and secure-by-design engineering practices Experience building internal tools such as chatops, CLIs, bots, or workflow automation systems Ability to collaborate cross-functionally and translate complex operational workflows into technical solutions Strong communication, documentation, and stakeholder management skills Bonus: experience with observability tools, Terraform, Slack apps, or regulated environments involving sensitive data (e.g., healthcare or PHI) Benefits Competitive salary with annual bonus eligibility Equity grants as part of long-term incentive compensation Remote-first work environment within the United States Flexible time off to support rest, recovery, and personal balance Comprehensive health, dental, and vision insurance with strong employer contributions 401(k) retirement savings plan Lifestyle Spending Account (LSA) for wellness, learning, and personal development Mental health and wellbeing support resources Generous parental leave policy Opportunity to work on cutting-edge AI systems shaping the future of software development. ## 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 Software Engineer, AI Transformation. Skills: AI Transformation, LLM Systems, Developer Tools, Backend Services. Design AI-powered developer tools. Build AI-powered developer tools", "postedDate" : "2026-06-15T15:14:31.380", "createdAt" : "2026-06-15T15:14:31.380", "lastUpdated" : "2026-06-16T13:04:35.105", "ingestTimestamp" : "2026-06-16T03:22:13.638", "mongoId" : "6a30511af292fd229cefa542", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI inference pipelines", "Tool-calling", "Orchestration", "Agentic systems", "Event-driven systems", "Workflow automation", "Cross-functional collaboration", "AI Transformation", "LLM Systems", "Developer Tools", "Backend Services", "Backend engineering", "System design", "Infrastructure", "Developer tools", "Internal platforms", "Stakeholder management", "AI-powered systems", "LLM-driven workflows", "AI-augmented SDLC", "Agent-driven interfaces", "Sensitive data handling", "Healthcare data", "PHI data", "IDEs", "Slack", "Observability platforms", "Terraform" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 829.518, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c968e74d8ee00a098ff10", "title" : "Product Development Manager", "company" : "Monster Energy", "industry" : "Outdoor & Apparel", "salary" : { "min" : 76440.0, "max" : 104000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corona, California, United States", "locations" : [ "Corona", "California", "United States" ], "timestamp" : "2026-06-16T05:07:58.652", "fingerprint" : "050417386995f5a23f700ebccd4d243c9d22b3a4e3b6750b6601f93582981599", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4217475009", "externalId" : "4217475009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Corona", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8752945,-117.5664440" } ], "locationText" : "Corona, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceLevel" : "Manager", "majorSkills" : "Product strategy, Roadmap development, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Product Development Manager, you will lead projects with flavor houses, suppliers, and production facilities to develop new beverages and raw materials. Manage the review of all formulas created in SAP-Product Lifecycle Management (PLM), ensuring accuracy and readiness for global production. Support complex liquid-development programs, including formulation specifications to ensure successful liquid performance, through projects including analytical testing, stability testing and sensory evaluation across the formula portfolio. Contribute to the product support program by addressing technical issues related to formulas in the field. The impact you'll make: Lead the Technical Transfer Program based on innovation learnings by review of formula scale up, stability, and stress tests. Manage the end-to-end review of all formulas within SAP-PLM, ensuring accuracy, completeness, and readiness for worldwide production, while upholding data integrity and alignment with global quality and regulatory standards. Lead cross-functional high complex product development projects in partnership with flavor houses, raw-material suppliers, and global production facilities to drive the creation of new beverages and ingredient systems that meet Monster’s technical, regulatory, and commercialization requirements. Develop and refine formulation specifications and coordinating analytical testing, stability studies, and sensory evaluations to ensure robust liquid performance across the product portfolio. Existing product support leadership for Americas : Serve as a technical escalation point for in-market products, providing timely troubleshooting and cross-functional support to address formula-related issues in the field and ensure continuity of quality and supply. Drive collaboration across Technical Innovation, Regulatory, Quality Assurance, and Operations for problem solving by providing technical expertise, communicating formulation impacts, and ensuring that all project deliverables, risk assessments, and technical decisions are clearly aligned and executed. Who you are: Prefer a Bachelor's Degree, Masters desired -- in a Scientific discipline (Food Science, Food Engineering, etc.) or related field. More than 7 years of experience in product development of beverages More than 5 years of experience in other technical roles (Quality and manufacturing, technical services) with a proven record of an understanding of ingredient, formulations, manufacturing, and supply chain Proficient in Microsoft Office suite, PLM systems, SAP experience Monster Energy provides competitive total compensation. The estimated annual salary range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $76,440—$104,000 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Product Development Manager at Monster Energy. Skills: Product strategy, Roadmap development, User stories. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-14T18:43:45.589", "createdAt" : "2026-06-14T18:43:45.589", "lastUpdated" : "2026-06-16T05:07:58.652", "ingestTimestamp" : "2026-06-14T18:43:45.589", "mongoId" : "6a2c968e74d8ee00a098ff10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76440, "salaryAnnualMax" : 104000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Roadmap planning" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 823.3033, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "69d3e6b92beec4dd3d3f7381", "title" : "Software Development Manager, Agentic AI - AgentCore", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:05:43.425", "fingerprint" : "5c07522073c3c0952756fe3a31126464bc595d858f04ad4da71d979f6b08b5da", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384049/apply", "externalId" : "b61e22b4-4103-47d5-bade-f4765a9e1186", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "GenAI, Deep learning, Distributed systems", "professionalSkills" : [ "Evaluation science", "Developer tooling", "Roadmaps", "Strategic discussions" ], "hardSkillsList" : [ "System design", "Software development", "Livesite operations" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "System design", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Livesite operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Agentic AI, AI agents, GenAI systems, Evaluation science", "majorSkillsList" : [ "Agentic AI", "AI agents", "GenAI systems", "Evaluation science" ], "coreResponsibilities" : "Hire engineering team, Motivate engineering team, Mentor engineering team, Grow engineering team, Collaborate with product managers, Collaborate with software engineers, Ensure timely execution, Remove blockers, Reduce execution risks, Provide input on OP1, Provide input on roadmaps, Provide input on strategic discussions, Architect technical designs, Develop technical designs, Build operational excellence, Reduce lead times, Maintain operations of critical services, Communicate technical decisions, Communicate progress", "teamCollaboration" : "Cross-functional teams; Partner teams", "projectManagementSkills" : [ "Roadmaps", "Strategic discussions" ], "domainKnowledge" : "Agentic AI; AI agents; GenAI systems; Evaluation science; Deep learning; Distributed systems; Software development life cycle; Hardware development life cycle; Networks development life cycle", "domainList" : [ "agentic-ai", "ai-agents", "genai-systems", "evaluation-science", "deep-learning", "distributed-systems", "software-development-life-cycle", "hardware-development-life-cycle", "networks-development-life-cycle" ], "domainSpecificKnowledge" : [ "Agentic AI", "AI agents", "GenAI systems", "Evaluation science", "Deep learning", "Distributed systems", "Software development life cycle", "Hardware development life cycle", "Networks development life cycle" ], "communicationSkills" : "Technical decisions; Progress communication", "continuousLearning" : "Mentorship; Career growth", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Reduce lead times; Maintain operations", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 3+ years designing systems, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Delivering products against plan, Communicating with users, Recruiting engineers, Hiring engineers, Mentoring engineers, Managing teams of engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Interested in building the future of intelligent AI agents? The Agentic AI organization at AWS is on a mission to empower developers and enterprises to create, evaluate, and deploy autonomous agents that can reason, plan, and act using state-of-the-art GenAI systems. Our Evaluations team plays a central role in this mission by enabling rigorous, scalable, and automated evaluation of GenAI and agentic systems. As a Software Development Manager on the Evaluations & Optimization team, you will lead a group of talented engineers to build state-of-the-art systems that help customers assess the quality, performance, and reliability of Agents and built state of the art solutions for agents optimization. You will define and deliver foundational infrastructure and developer tooling that powers evaluation workflows for some of the world’s most advanced GenAI and Agentic systems. Our work spans deep learning, large-scale distributed systems, and evaluation science workflows. We work closely with applied scientists, product managers, and UX designers to deliver services that are robust, extensible, and easy to use for developers and enterprise customers alike. Key job responsibilities • Hire, motivate, mentor, and grow a high-performing engineering team, providing them with appropriate opportunities to succeed in their career objectives. • Collaborate with cross-functional teams: Work effectively with product managers and software engineers on other partner teams to ensure the successful delivery of features. • Ensure timely execution of key organizational automation goals and customer launches by removing blockers and reducing execution risks. • Work closely with the leadership team to provide input on OP1, roadmaps, and strategic discussions. • Be deeply involved with engineers to architect and develop the best technical designs and approaches. • Build operational excellence to reduce lead times and maintain the operations of critical services. • Clearly communicate technical decisions and progress to both technical and non-technical audiences. A day in the life - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Manager, Agentic AI - AgentCore at Amazon Development Center U.S., Inc.. Skills: Agentic AI, AI agents, GenAI systems, Evaluation science. Hire engineering team. Motivate engineering team", "postedDate" : "2026-06-13T03:56:26.848", "createdAt" : "2026-06-13T03:56:26.848", "lastUpdated" : "2026-06-15T03:05:43.425", "ingestTimestamp" : "2026-06-13T03:56:26.848", "mongoId" : "69d3e6b92beec4dd3d3f7381", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384049/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "System design", "Software development", "Livesite operations", "Leadership", "Mentoring", "Agentic AI", "AI agents", "GenAI systems", "Evaluation science", "Developer tooling", "Roadmaps", "Strategic discussions", "Deep learning", "Distributed systems", "Software development life cycle", "Hardware development life cycle", "Networks development life cycle" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 821.81213, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca61674d8ee00a09b96e0", "title" : "Product Development Manager", "company" : "ALO", "industry" : "Outdoor & Apparel", "salary" : { "min" : 110000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Commerce, California, United States", "locations" : [ "Commerce", "California", "United States" ], "timestamp" : "2026-06-16T03:30:37.981", "fingerprint" : "c24417ec9a0119994132b0fa9e206b958e80fe95993e18e4a061034aacdc8b6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/aloyoga/jobs/5993870004?gh_jid=5993870004", "externalId" : "5993870004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Commerce", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0032180,-118.1541961" } ], "locationText" : "Commerce, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Microsoft Office, Word, Excel, Outlook, PLM, Adobe Suite, Illustrator, Photoshop", "professionalSkills" : [ "Product development", "Cost management", "IMU targets", "Vendor scorecard", "Fit approval", "Salesman sample execution", "Bulk order allocation", "Capacity consideration", "Capability consideration", "Workmanship consideration", "Costing consideration", "IT improvements", "Seasonal execution" ], "hardSkillsList" : [ "Cost negotiation", "Product integrity", "Garment construction" ], "hardSkills" : [ { "name" : "Cost negotiation", "level" : "intermediate" }, { "name" : "Product integrity", "level" : "intermediate" }, { "name" : "Garment construction", "level" : "intermediate" } ], "majorSkills" : "Product development, Apparel industry, Cross-functional collaboration", "majorSkillsList" : [ "Product development", "Apparel industry", "Cross-functional collaboration" ], "coreResponsibilities" : "Manage product creation process, Establish brand strategy, Execute brand strategy, Achieve financial goals, Achieve quality goals, Achieve product goals, Negotiate cost, Collaborate with Design, Collaborate with Technical Design, Collaborate with Raw Material R+D, Collaborate with Sourcing, Ensure on time delivery, Manage multi-season development calendars, Manage execution for product development cycle, Manage cost, Manage IMU targets, Manage vendor scorecard, Manage fit approval, Manage salesman sample execution, Allocate bulk orders to suppliers, Lead IT improvements, Lead IT solutions, Enable seasonal execution", "teamCollaboration" : "Cross functional team; Design; Raw Material; Technical Design; Planning; Merchandising", "projectManagementSkills" : [ "Product development calendars" ], "domainKnowledge" : "Apparel industry; Product categories; Sweaters; Testing protocol; Product integrity; Product cycle timeline; Costing; Price negotiation; Garment construction", "domainList" : [ "apparel-industry", "product-categories", "sweaters", "testing-protocol", "product-integrity", "product-cycle-timeline", "costing", "price-negotiation", "garment-construction" ], "domainSpecificKnowledge" : [ "Apparel industry", "Product categories", "Sweaters", "Testing protocol", "Product integrity", "Product cycle timeline", "Costing", "Price negotiation", "Garment construction" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel", "Outlook", "PLM", "Adobe Suite", "Illustrator", "Photoshop" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Creative leader", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Achieve financial goals; Achieve quality goals; Achieve product goals; On time delivery; Cost management; IMU targets", "qualificationsBasic" : "Bachelor's Degree or equivalent experience, 5+ years of experience in apparel industry, Ability to multi-task, Manage multiple projects, Excellent written communication skills, Excellent verbal communication skills, Excellent organizational skills, Excellent time management skills, Commitment and superior attention to detail, Ability to work in a team environment, Build trust and relationships with vendors, Build trust and relationships with cross functional partners, Analytical skills, Ability to cost negotiate, Understanding of cost drivers, Understanding of margin, Understanding of landing factors, Thorough understanding of testing protocol, Thorough understanding of product integrity requirements, Thorough understanding of product cycle timeline, Thorough understanding of costing & price negotiation, Thorough understanding of garment construction, Ability to be flexible, Ability to adapt to changing work environment, Interpersonal skills, Listening skills", "qualificationsPreferred" : "Managing multiple product categories including sweaters, Proficiency with PLM, Proficiency with Adobe Suite, Illustrator a plus, Photoshop a plus", "workSiteFlexibility" : "Onsite", "rawDescription" : "WHY JOIN ALO? Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. OVERVIEW We are looking for a creative and inspired leader to join the Alo family as a Product Development Manager. The candidate’s responsibility will be to work with a cross functional team of talented individuals and ensure the product is built with integrity, intention and aligned with our brand vision and values. The ideal candidate will have a proven product development track record in the apparel industry across different product categories. As a member of the Product Development team, you will participate in developing and executing product to align with Design’s vision and the overarching business strategy of our rapidly-growing brand. The ideal candidate will work closely and collaboratively with Design, Raw Material, Technical Design, Planning and Merchandising teams to create beautiful and innovative product. RESPONSIBILITIES Manage the product creation process from design hand off to production approval Establish and execute the brand strategy to achieve financial, quality and product goals. Negotiate cost Collaborate with cross functional teams from Design, Technical Design, Raw Material R+D and Sourcing to ensure on time delivery per set calendar dates each season. Manage multi-season development calendars and the execution for all tasks related to the Product Development cycle Responsible for Key Performance indicators that include but not limited to Cost management and IMU targets, vendor scorecard, fit approval and salesman sample execution Work with team to allocate bulk orders to appropriate suppliers through consideration of available capacity, capability, workmanship and costing. Lead processes and IT improvements/solutions to enable seasonal execution QUALIFICATIONS Must have a Bachelor’s Degree or equivalent experience Must have 5+ years of experience in the apparel industry, ideally managing multiple product categories including sweaters Ability to multi-task and manage multiple projects on an ongoing basis Excellent written and verbal communication skills Excellent organizational and time management skills with appropriate sense of urgency Commitment and superior attention to detail Ability to work in a team environment, build trust and relationships with vendors & cross functional partners Strong analytical skills Ability to cost negotiate and understanding of cost drivers, margin and landing factors Thorough understanding of testing protocol, product integrity requirements, product cycle timeline, costing & price negotiation and garment construction Ability to be flexible and adapt to changing work environment Strong interpersonal and listening skills Proficient in Microsoft Office, Word, Excel, & Outlook Proficiency with PLM and Adobe Suite- Illustrator and Photoshop a plus The base salary range for this position is $110,000-$130,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits. For CA residents, Job Applicant Privacy Policy HERE.", "summaryDescription" : "Product Development Manager at ALO. Skills: Product development, Apparel industry, Cross-functional collaboration. Manage product creation process. Establish brand strategy", "postedDate" : "2026-06-14T18:42:19.186", "createdAt" : "2026-06-14T18:42:19.186", "lastUpdated" : "2026-06-16T03:30:37.981", "ingestTimestamp" : "2026-06-14T18:42:19.186", "mongoId" : "6a2ca61674d8ee00a09b96e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cost negotiation", "Product integrity", "Garment construction", "Product development", "Apparel industry", "Cross-functional collaboration", "Cost management", "IMU targets", "Vendor scorecard", "Fit approval", "Salesman sample execution", "Bulk order allocation", "Capacity consideration", "Capability consideration", "Workmanship consideration", "Costing consideration", "IT improvements", "Seasonal execution", "Product development calendars", "Product categories", "Sweaters", "Testing protocol", "Product cycle timeline", "Costing", "Price negotiation", "Microsoft Office", "Word", "Excel", "Outlook", "PLM", "Adobe Suite", "Illustrator", "Photoshop" ], "skillCount" : 33, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 820.59985, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc1aa74d8ee00a0a047a3", "title" : "Software Developer", "company" : "Aeroseal", "industry" : "Manufacturing", "salary" : { "min" : 68000.0, "max" : 92000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Software Developer in Miamisburg, United States, adjusted for industry and company size." }, "location" : "Miamisburg, OH", "locations" : [ "Miamisburg", "OH" ], "timestamp" : "2026-06-16T08:53:06.093", "fingerprint" : "a7f4fb4d5797d1ee33fdfd791e9536e8f61228511ffe88d63de7c8befd2a981b", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://aeroseal.breezy.hr/p/9ba11f1c8128-software-developer", "externalId" : "9ba11f1c8128", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Miamisburg", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.6428362,-84.2866083" } ], "locationText" : "Miamisburg, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "technicalSkills" : "NET, C#, Java, SQL, Python", "majorSkills" : "Software Development, ERP Software", "majorSkillsList" : [ "Software Development", "ERP Software" ], "coreResponsibilities" : "Develop ERP software, Support manufacturing, Support services", "domainKnowledge" : "Green tech", "domainList" : [ "green-tech" ], "domainSpecificKnowledge" : [ "Green tech" ], "qualificationsBasic" : "B.S. in computer science, 1 year experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Software Developer (mult. pos.) wanted to develop ERP s/w for (OH) Green tech. Co., in .Net, C#, Java, SQL, Python & support manuf. & services. Must have B. S. in comp. sci., or related disc. + 1yr. exp. Reply W/ resume to: HR (Job ID #5461) Aeroseal, LLC. 225 Byers Road Miamisburg, OH 45", "summaryDescription" : "Software Developer at Aeroseal. Skills: Software Development, ERP Software. Develop ERP software. Support manufacturing", "createdAt" : "2026-06-14T20:33:38.890", "lastUpdated" : "2026-06-16T08:53:06.093", "ingestTimestamp" : "2026-06-14T20:33:38.890", "mongoId" : "6a2cc1aa74d8ee00a0a047a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 68000, "salaryAnnualMax" : 92000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software Development", "ERP Software", "Green tech" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 818.31793, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307648f292fd229c017e06", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 7000000.0, "max" : 1.2E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T13:50:15.316", "fingerprint" : "2a2a7ab55e9eddc89c43352ac964c42f8c65fc71742c5763c1b065cbfaf4a514", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000304004", "externalId" : "6000304004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "technicalSkills" : "NET Core, MongoDB, PostgreSQL, AWS, Elasticsearch, ELK, EFK, VM, Prometheus, Grafana", "professionalSkills" : [ "Data-driven approach" ], "hardSkillsList" : [ "Application development", "Refactoring", "Bug fixing", "Writing tests", "Code review" ], "softSkillsList" : [ "Commitment", "Determination", "Feedback" ], "hardSkills" : [ { "name" : "Application development", "level" : "intermediate" }, { "name" : "Refactoring", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Writing tests", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Commitment" }, { "name" : "Determination" }, { "name" : "Feedback" } ], "majorSkills" : "NET Core, AWS, Databases", "majorSkillsList" : [ "NET Core", "AWS", "Databases" ], "coreResponsibilities" : "Maintain functionality, Improve functionality, Develop application parts, Design application parts, Refactor application parts, Fix bugs, Write tests, Review code, Share knowledge", "teamCollaboration" : "Global team; Fully remote team", "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Language AI platform", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "language-ai-platform" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform" ], "toolProficiency" : [ "AWS", "Elasticsearch", "ELK", "EFK", "Prometheus", "Grafana" ], "innovationCreativity" : "AI innovation", "specialRequirements" : "Intense startup environment", "outcomesObjectives" : "Deliver value for customers; Improve stability; Improve observability", "qualificationsBasic" : "NET development experience, Test coverage experience, OOP principles knowledge, Design patterns knowledge, Database concurrency experience, Upper-Intermediate English", "qualificationsPreferred" : "AWS hosting experience, Elasticsearch cluster experience, ELK (EFK) experience, Prometheus and Grafana experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Mission Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements Experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. 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