{ "count" : 16498, "data" : [ { "id" : "6a2cc26c74d8ee00a0a0657b", "title" : "Product Manager Intern - Alfie (Conversational AI)", "company" : "Pebl", "industry" : "Product & Design", "salary" : { "min" : 28.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : " Palo Alto, CA ", "locations" : [ " Palo Alto, CA " ], "timestamp" : "2026-06-15T07:13:21.785", "fingerprint" : "440d6d361fd4a55c399943d328fd1ffa4f1580fa4fc3f8e250a5622f6ed02796", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pebl/5ab039a5-2517-4ab5-be25-5987afb6d204/application", "externalId" : "5ab039a5-2517-4ab5-be25-5987afb6d204", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "Conversational AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories" ], "hardSkillsList" : [ "Data analysis", "User research" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "User research", "level" : "intermediate" } ], "majorSkills" : "Product management, Conversational AI", "majorSkillsList" : [ "Product management", "Conversational AI" ], "coreResponsibilities" : "Analyze conversation data, Understand user engagement, Optimize AI behavior, Define use cases, Define success metrics, Define requirements, Contribute to discovery, Conduct user research, Map use cases, Define requirements for AI", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Conversational AI", "domainList" : [ "conversational-ai" ], "domainSpecificKnowledge" : [ "Conversational AI" ], "innovationCreativity" : "AI development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "12 week internship", "remoteFriendly" : true, "rawDescription" : "Purpose in Every Position Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform™, companies can hire, pay, and manage employees in 185+ countries—removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere. Where Your Work Moves the Needle. At Pebl, every team member drives our success. Joining us means more than filling a role—you’re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you’ll help us scale faster, compete harder, and lead the future of global work. What you'll work on Alfie is Pebl's proprietary conversational AI — built in-house and live across our product, our self-serve flow, and hellopebl.com. Alfie doesn't just answer questions; it takes action, surfaces insights, and guides users toward what they actually need. It's one of the most visible parts of our product and a direct factor in how we win enterprise deals. This summer, you'll work directly with the Principal PM leading Conversational AI on some of the most interesting open questions we have: how should Alfie behave in different contexts? What does a great AI conversation actually look like for our users? Where is Alfie falling short, and what would it take to close that gap? Your work will ship on a live product and feed strategic recommendations that go to executive leadership. In parallel, you'll contribute to Athena, Pebl's internal employee AI, on similar discovery and definition work. This is a 12 week internship. What you'll own The exact scope will be shaped by where the biggest opportunities are when you start, but expect a mix of: - Analyzing real Alfie conversation data to understand how users engage, where they drop off, and what they actually need - Optimizing how Alfie behaves in specific contexts — its persona, conversation flow, and how it guides users toward the right next action. - Researching how the best conversational AI products are built and what Pebl can learn from them - Defining use cases, success metrics, and requirements that engineering can build toward - Contributing to Athena discovery — user research, use case mapping, and requirements definition on our employee-facing AI What we're looking for You're curious about AI, comfortable with ambiguity, and know how to turn messy inputs into a clear point of view. You ask good questions before jumping to answers, and you write in a way that makes decisions easier, not harder. Specifically: - 1–3 years of product, strategy, or related experience (pre-MBA counts) - Exposure to B2B SaaS, AI products, or sales/marketing funnels is a plus - Strong written communication — your primary output is documents that drive decisions - Hands-on with AI tools — you build with them, not just use them Pebl is an Equal Opportunity Employer. We power global teams and believe diverse perspectives drive innovation and impact. Employment decisions at Pebl are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. We’re committed to fostering an inclusive culture where every teammate can thrive and do the best work of their career—anywhere in the world.", "summaryDescription" : "Product Manager Intern - Alfie (Conversational AI) at Pebl. Skills: Product management, Conversational AI. Analyze conversation data. Understand user engagement", "createdAt" : "2026-06-14T04:47:13.040", "lastUpdated" : "2026-06-15T07:13:21.785", "ingestTimestamp" : "2026-06-14T04:47:13.040", "mongoId" : "6a2cc26c74d8ee00a0a0657b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "User research", "Product management", "Conversational AI", "Product strategy", "Roadmap development", "User stories", "Roadmap" ], "skillCount" : 8, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 1069.6406, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc34474d8ee00a0a08df3", "title" : "Product Builder - AI Acceleration", "company" : "Owner", "industry" : "Engineering, Product, and Design", "location" : "Remote - United States or Canada", "locations" : [ "Remote - United States or Canada" ], "timestamp" : "2026-06-15T10:24:36.363", "fingerprint" : "03f85ac98eb407b6500e86eb998eb9ed6534dba74e1f5a97d7ce43fbc01e51f1", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/owner/548b2b7d-5ef4-49f1-a8f8-0ecbc746792d/application", "externalId" : "548b2b7d-5ef4-49f1-a8f8-0ecbc746792d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "technicalSkills" : "TypeScript, React, Next.js, Node.js, MongoDB", "professionalSkills" : [ "Experience in AI-native product development and understanding of the challenges faced by independent restaurants and local businesses." ], "softSkillsList" : [ "Customer empathy, Agency, Collaboration, Systems thinking" ], "softSkills" : [ { "name" : "Customer empathy, Agency, Collaboration, Systems thinking" } ], "majorSkills" : "Product thinking, Engineering, Design, AI", "majorSkillsList" : [ "Product thinking, Engineering, Design, AI" ], "coreResponsibilities" : "The Product Builder will own problems end-to-end, from talking directly to restaurant operators to define real friction, to designing the experience, architecting the system, and writing the code. This role leverages AI to build 10x faster, driving product excellence and shaping the product direction based on customer insights. The builder is accountable for the full arc from insight to shipped product, holding a high bar for craft in both code and user experience.", "teamCollaboration" : "Collaborate with product, design, and business teams, and work alongside senior engineers and GTM teams to ship tools and workflows that improve coworkers' jobs.", "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Direct customer communication", "innovationCreativity" : "Leverage AI to explore solutions and build 10x faster, contributing to Owner's leadership in practical AI adoption and raising the bar for how the company serves customers.", "specialRequirements" : "This role is 100% remote and can be based anywhere in the United States or Canada. San Francisco-based candidates have the option of using the new HQ in the Presidio for in-person collaboration.", "outcomesObjectives" : "Ship tools and workflows that eliminate busywork and measurably improve coworkers' jobs, driving product excellence and influencing the product roadmap.", "qualificationsBasic" : "Requires 3+ years of experience building and shipping software products, with a history of wearing multiple hats (PM, engineer, designer). Must be comfortable with TypeScript across frontend (React, Next.js) and/or backend (Node.js, MongoDB) stacks, and possess genuine customer empathy through direct user interaction. High agency and systems thinking are essential.", "qualificationsPreferred" : "Experience at a product-focused startup or high-growth technology company is preferred. Candidates who have quietly performed PM and designer roles while coding are ideal.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Owner Owner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business. It powers everything from the restaurant’s website, online ordering, CRM, POS, and more. Product philosophy Most small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically. Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it. Using Owner should feel like having a team of great operators, engineers, and marketers working for you. Our vision We’re starting by helping independent restaurants succeed online. But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. Once we nail the solution for restaurants – we’ll scale it into every other local business type. In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. Read our Series C memo here → https://www.owner.com/c Our traction Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com http://Owner.com website. More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. Our team Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. We’ll be scaling even faster in 2026 to keep pace with our customer growth. Where we work Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! Why We're Looking For You Independent restaurants are in a fight for their survival, up against chains with unlimited marketing budgets, loyalty platforms, and enterprise tech teams. We exist to change that. We build AI-driven technology that puts the power of a Fortune 500 tech stack into the hands of an owner-operator running tables on a Tuesday night. To get there, we need a new kind of builder. The best builders we know move fluidly between product thinking, engineering, and design because they love the whole game. AI has fundamentally changed what one person can build with great taste, technical excellence, and genuine customer empathy — and we're building a team of those people. You'll help us solve one of the most important problems in tech right now: how to use AI to work 10x more effectively. That means establishing Owner as a leader in practical AI adoption, improving how we build across product, engineering, and design, and raising the bar for how we serve customers. You'll ship tools and workflows that eliminate busywork and make your coworkers' jobs measurably better — working alongside some of our most senior engineers and the GTM teams that want to move faster. If you've been quietly doing parts of the PM's job and the designer's job while still writing code — and loving every minute of it — this role was written for you. This role is 100% remote and can be based anywhere in the United States or Canada. For San Francisco-based candidates, we have a new HQ in the Presidio for optional in-person collaboration. The impact you'll have - Own problems, not tickets. Talk directly to restaurant operators. Find the real friction. Define what we should build next. Build it. - Go end-to-end. Design the experience, architect the system, write the code, and own the outcome. You're accountable for the full arc from insight to shipped product. - Move fast, deliver excellence. AI lets us build 10x faster than we could a few years ago. You use that leverage to drive product excellence. - Shape our product direction. Your intuitions about what customers need should influence our roadmap, not just your next sprint. We want product thinkers, not ticket closers. - Hold the bar for craft. Clean, maintainable code. Intuitive, beautiful UX. Independent restaurant owners deserve great software, and you'll be the one making sure they get it. - Be a user whisperer. Build relationships with operators. Bounce ideas off them. Know them by name. Iterate with them in real time. What we're looking for - 3+ years of experience building and shipping software products - You've worn multiple hats: thought like a PM, built like an engineer, and cared about UX like a designer - Strong TypeScript experience; comfortable across our frontend (React, Next.js) and/or backend (Node.js, MongoDB) stacks - AI-native in how you work: you use AI tools to move faster, write better code, and explore solutions you couldn't have reached alone - A track record of shipping things end-to-end that you're proud of - Genuine customer empathy: you've talked to users directly, not just read their support tickets - Unusually high agency: you identify problems, make a call, and move without waiting to be asked - Collaborative at your core: past colleagues in product, design, and business would speak highly of how you work with them - You think in systems: you understand how your work fits the larger product vision, and you actively contribute to the technical frameworks the whole team builds on - Experience at a product-focused startup or high-growth technology company We'll figure out where you sit in the org as we get to know you. Some builders are more product-oriented, some are more engineering-oriented, and we're happy to meet you where you are. Notice - Employment Scams Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as \"phishing\" or “spam” and do not respond.", "summaryDescription" : "Product Builder - AI Acceleration at Owner. Skills: Product thinking, Engineering, Design, AI. The Product Builder will own problems end-to-end, from talking directly to restaurant operators to define real friction, to designing the experience, architecting the system, and writing the code. This role leverages AI to build 10x faster, driving product excellence and shaping the product direction based on customer insights. The builder is accountable for the full arc from insight to shipped product", "createdAt" : "2026-06-14T18:05:16.880", "lastUpdated" : "2026-06-15T10:24:36.363", "ingestTimestamp" : "2026-06-14T18:05:16.880", "mongoId" : "6a2cc34474d8ee00a0a08df3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Customer empathy, Agency, Collaboration, Systems thinking", "Product thinking, Engineering, Design, AI", "Experience in AI-native product development and understanding of the challenges faced by independent restaurants and local businesses.", "AI tools" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1043.7869, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21770d74d8ee00a0c1ba39", "title" : "SDE-II, AI Core Infra - AI Analytics and Insights", "company" : "ADCI", "industry" : "Software Development, Advertising", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for SDE-II in Bengaluru, India, adjusted for mid-seniority and technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:51:21.918", "fingerprint" : "371ada8374f4ce90a8134beb6044ec338491e49d186dd75df17adae08e1fbb80", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435578/apply", "externalId" : "79a35f46-1a86-44b5-939b-41b83b4109c4", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Generative AI, LLMs, RAG, NLP, NLU, SQL, Python, C#, C++, Java, Perl, Object Oriented Design", "professionalSkills" : [ "System design", "Architecture", "Data engineering", "Conversational interfaces", "AI-powered systems" ], "hardSkillsList" : [ "Data structures", "Algorithms", "Large-scale computing", "Vector stores", "Embedding pipelines", "Metadata indexing", "Prompt management", "Model routing", "Multi-agent orchestration", "Chain-of-thought workflows", "SQL generation", "Metadata auto-curation" ], "softSkillsList" : [ "Ownership", "Ambiguity" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Large-scale computing", "level" : "intermediate" }, { "name" : "Vector stores", "level" : "intermediate" }, { "name" : "Embedding pipelines", "level" : "intermediate" }, { "name" : "Metadata indexing", "level" : "intermediate" }, { "name" : "Prompt management", "level" : "intermediate" }, { "name" : "Model routing", "level" : "intermediate" }, { "name" : "Multi-agent orchestration", "level" : "intermediate" }, { "name" : "Chain-of-thought workflows", "level" : "intermediate" }, { "name" : "SQL generation", "level" : "intermediate" }, { "name" : "Metadata auto-curation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Ambiguity" } ], "majorSkills" : "Generative AI, Conversational AI, Data Engineering, LLM Integration", "majorSkillsList" : [ "Generative AI", "Conversational AI", "Data Engineering", "LLM Integration" ], "coreResponsibilities" : "Design scalable services, Build scalable services, Engineer RAG architectures, Build embedding pipelines, Optimize vector stores, Integrate LLMs, Operationalize LLMs, Build automated evaluation, Design feedback loops, Develop SQL generation, Develop SQL validation, Build metadata auto-curation tools, Productionize NLP/NLU models, Integrate NLP/NLU models, Own systems end-to-end, Monitor production environment, Improve prompt templates", "teamCollaboration" : "Applied scientists; Product managers; Fellow engineers", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Advertising data lake; Conversational AI; Generative AI; Data retrieval; Large-scale computing; Multi-tiered systems; Embedded systems; Distributed software", "domainList" : [ "advertising-data-lake", "conversational-ai", "generative-ai", "data-retrieval", "large-scale-computing", "multi-tiered-systems", "embedded-systems", "distributed-software" ], "domainSpecificKnowledge" : [ "Advertising data lake", "Conversational AI", "Generative AI", "Data retrieval", "Large-scale computing", "Multi-tiered systems", "Embedded systems", "Distributed software" ], "toolProficiency" : [ "Amazon Web Services" ], "communicationSkills" : "Design reviews", "innovationCreativity" : "Invent new experiences", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Generate insights faster; Ensure accurate retrieval; Drive system improvement; Ensure trusted outputs; Maintain metadata catalog", "qualificationsBasic" : "3+ years professional software development, 2+ years system design/architecture, 1+ years large-scale software development, 1+ years Object Oriented Design, Experience with C#, C++, Java, or Perl, Programming with one language", "qualificationsPreferred" : "4+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity, and want to see your work used every day by teams across Amazon Advertising, we'd love to talk to you. At Amazon an SDE 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, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many organizations; Amazon Web Services, ecommerce Services, Kindle, Marketplace, Operations, Platform Technologies and Retail. Key job responsibilities - Design and build scalable services that power SpektrBot's conversational AI platform, including query orchestration, context management, session handling, and response generation pipelines - Engineer RAG architectures — build and optimize retrievers, vector stores, embedding pipelines, and metadata indexing systems to ensure accurate and contextually relevant data retrieval from our advertising data lake - Integrate and operationalize LLMs — build the infrastructure for prompt management, model routing, multi-agent orchestration, and chain-of-thought workflows that enable natural, multi-turn conversations - Build automated evaluation and feedback loops — design systems that continuously measure response accuracy, detect regressions, and feed corrections back into the system to drive improvement over time - Develop SQL generation and validation pipelines — engineer the end-to-end flow from natural language intent to generated SQL, including guardrails, query validation, and result verification to ensure trusted outputs - Build tooling for metadata auto-curation — create LLM-powered tools that automatically enrich, classify, and maintain the metadata catalog that underpins accurate data retrieval - Collaborate with applied scientists to productionize NLP/NLU models and integrate them into the bot's overall architecture - Own systems end-to-end — from design through deployment, monitoring, alarming, and operational excellence in a production environment serving internal customers at scale A day in the life You might start by reviewing your automated evaluation dashboard, investigating a flagged drop in SQL generation accuracy and shipping a fix. After lunch, you pair with an applied scientist to integrate a new intent classification model into the orchestration layer, ensuring graceful fallback behavior. Later, you lead a design review for a multi-agent architecture that breaks complex user questions into parallel sub-queries. You end the day improving prompt templates based on user feedback patterns. Every day brings a different problem, but the thread is always building AI-powered systems that are accurate, reliable, and delightful to use. About the team You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. 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 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 - Experience programming with at least one software programming language Preferred Qualifications: - 4+ 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 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" : "SDE-II, AI Core Infra - AI Analytics and Insights at ADCI. Skills: Generative AI, Conversational AI, Data Engineering, LLM Integration. Design scalable services. Build scalable services", "postedDate" : "2026-06-13T14:36:54.588", "createdAt" : "2026-06-13T14:36:54.588", "lastUpdated" : "2026-06-15T05:51:21.918", "ingestTimestamp" : "2026-06-13T14:36:54.588", "mongoId" : "6a21770d74d8ee00a0c1ba39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435578/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data structures", "Algorithms", "Large-scale computing", "Vector stores", "Embedding pipelines", "Metadata indexing", "Prompt management", "Model routing", "Multi-agent orchestration", "Chain-of-thought workflows", "SQL generation", "Metadata auto-curation", "Ownership", "Ambiguity", "Generative AI", "Conversational AI", "Data Engineering", "LLM Integration", "System design", "Architecture", "Data engineering", "Conversational interfaces", "AI-powered systems", "Agile", "Advertising data lake", "Data retrieval", "Multi-tiered systems", "Embedded systems", "Distributed software", "Amazon Web Services" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 963.637, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2176e574d8ee00a0c1b3fc", "title" : "Software Development Engineer, Conversational Ads Experience", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:41:13.467", "fingerprint" : "6e63294f4c539d60364a200afd3f53130cdc0a05b5bd49c06328d883099179d6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437313/apply", "externalId" : "03e78583-ebc8-44d2-918f-6ce51e19b5a9", "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" : "Large language models, LLMs", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Software development", "System scaling", "Low-latency systems" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System scaling", "level" : "intermediate" }, { "name" : "Low-latency systems", "level" : "intermediate" } ], "majorSkills" : "Conversational AI, Generative AI, LLMs", "majorSkillsList" : [ "Conversational AI", "Generative AI", "LLMs" ], "coreResponsibilities" : "Drive product initiatives, Drive engineering initiatives, Build distributed systems, Design distributed systems, Operate customer functionality, Build customer functionality, Partner with scientists, Integrate sponsored prompts", "teamCollaboration" : "Multiple technical teams", "domainKnowledge" : "Conversational shopping; Sponsored products; Sponsored brands; Generative AI; AI technologies", "domainList" : [ "conversational-shopping", "sponsored-products", "sponsored-brands", "generative-ai", "ai-technologies" ], "domainSpecificKnowledge" : [ "Conversational shopping", "Sponsored products", "Sponsored brands", "Generative AI", "AI technologies" ], "innovationCreativity" : "Experimentation; Innovation", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is building a world class advertising business and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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 a highly motivated, collaborative group with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate with a seemingly endless range of new ideas and opportunities. Key job responsibilities We are looking for an software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple industry first projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will: - Drive major product and engineering initiatives, build large-scale, low-latency distributed systems - Design, build, and operate key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. - Partner with Scientists in building and/or integrating sponsored prompts experiences for our customers (shoppers & advertisers) - You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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 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, NY, New York - 158,100.00 - 213,800.00 USD annually USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Conversational Ads Experience at Amazon.com Services LLC. Skills: Conversational AI, Generative AI, LLMs. Drive product initiatives. Drive engineering initiatives", "postedDate" : "2026-06-13T04:59:16.969", "createdAt" : "2026-06-13T04:59:16.969", "lastUpdated" : "2026-06-15T01:41:13.467", "ingestTimestamp" : "2026-06-13T04:59:16.969", "mongoId" : "6a2176e574d8ee00a0c1b3fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437313/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System scaling", "Low-latency systems", "Conversational AI", "Generative AI", "LLMs", "System design", "Architecture", "Conversational shopping", "Sponsored products", "Sponsored brands", "AI technologies" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 938.5242, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2cda5674d8ee00a0a4bc93", "title" : "AI Agent Engineer, Client Facing", "company" : "Observe. AI", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Agent Engineer in Redwood City, adjusted for mid-seniority and technology industry." }, "location" : "Redwood City, California, United States", "locations" : [ "Redwood City", "California", "United States" ], "timestamp" : "2026-06-15T08:49:45.717", "fingerprint" : "6e995e1833e7e0c78442c5b29bc27d6650a94db2b20334259f772a3f545ccccb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.observe.ai/position?gh_jid=5254531008", "externalId" : "5254531008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AI, LLM, Python, JavaScript, API integration, SIP, Twilio, Amazon Connect, Vector DBs, LangChain, LlamaIndex", "professionalSkills" : [ "Solution engineering", "System integration", "Client-facing discussions", "Technical troubleshooting", "Project demos", "Data flow management" ], "hardSkillsList" : [ "Prompt design", "Workflow building", "API integration", "Retrieval-augmented generation" ], "softSkillsList" : [ "Problem-solving mindset" ], "hardSkills" : [ { "name" : "Prompt design", "level" : "intermediate" }, { "name" : "Workflow building", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving mindset" } ], "majorSkills" : "AI Agent Engineering, Conversational AI, LLM-based applications, Client implementations", "majorSkillsList" : [ "AI Agent Engineering", "Conversational AI", "LLM-based applications", "Client implementations" ], "coreResponsibilities" : "Build work consultatively, Unblock security challenges, Unblock connectivity challenges, Unblock knowledge ingestion challenges, Collaborate with product teams, Collaborate with engineering teams, Escalate platform gaps, Resolve deep technical fixes, Drive client implementations, Build AI agents, Integrate AI agents, Test AI agents, Demo AI agents to clients, Deploy AI agents, Tune AI agent performance", "teamCollaboration" : "Cross Functional Collaboration; Product teams; Engineering teams", "projectManagementSkills" : [ "Project demos" ], "domainKnowledge" : "Conversational AI; Customer experience; CX lifecycle; AI Agents; Voice AI agents; Chat AI agents; AI Copilot; LLMs; Vector DBs; Orchestration frameworks; Retrieval-augmented generation; Telephony systems; Voice systems; CCaaS; PSTN", "domainList" : [ "conversational-ai", "customer-experience", "cx-lifecycle", "ai-agents", "voice-ai-agents", "chat-ai-agents", "ai-copilot", "llms", "vector-dbs", "orchestration-frameworks", "retrieval-augmented-generation", "telephony-systems", "voice-systems", "ccaas", "pstn" ], "domainSpecificKnowledge" : [ "Conversational AI", "Customer experience", "CX lifecycle", "AI Agents", "Voice AI agents", "Chat AI agents", "AI Copilot", "LLMs", "Vector DBs", "Orchestration frameworks", "Retrieval-augmented generation", "Telephony systems", "Voice systems", "CCaaS", "PSTN" ], "toolProficiency" : [ "N8n", "Zapier" ], "communicationSkills" : "Customer-facing discussions; Technical concepts explanation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Problem-solving mindset; Find workarounds; Unblock integrations; Adapt to ecosystems", "outcomesObjectives" : "Deliver faster customer service; Deliver smarter customer service; Deliver efficient customer service; Increase resolution speed; Elevate service quality; Reduce operational costs; Empower frontline team; Focus on higher-value work; Improve customer satisfaction; Boost agent productivity; Deliver consistent performance; Deliver scalable performance", "qualificationsBasic" : "Bachelor's in Computer Science, 3+ years conversational AI, 3+ years solution engineering, 3+ years system integration, 3+ years delivering AI/LLM-based applications, Hands-on prompt design, Hands-on workflow building, Hands-on API integration, Programming experience in Python, Programming experience in JavaScript", "qualificationsPreferred" : "Experience with integration tools, Experience with iPaaS providers, Familiarity with telephony systems, Familiarity with voice systems", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI Agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What You’ll Be Doing Build work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations. What You’ll Bring To The Role Bachelor’s degree in Computer Science, Engineering, or a related technical field 3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong ability to communicate and lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences. Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization. Programming experience in Python, JavaScript, or similar for scripting and integrations Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus. Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus. Why You’ll Love It Here Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. #LI-Hybrid", "summaryDescription" : "AI Agent Engineer, Client Facing at Observe. AI. Skills: AI Agent Engineering, Conversational AI, LLM-based applications, Client implementations. Build work consultatively. Unblock security challenges", "postedDate" : "2026-06-14T09:42:18.090", "createdAt" : "2026-06-14T09:42:18.090", "lastUpdated" : "2026-06-15T08:49:45.717", "ingestTimestamp" : "2026-06-14T09:42:18.090", "mongoId" : "6a2cda5674d8ee00a0a4bc93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt design", "Workflow building", "API integration", "Retrieval-augmented generation", "Problem-solving mindset", "AI Agent Engineering", "Conversational AI", "LLM-based applications", "Client implementations", "Solution engineering", "System integration", "Client-facing discussions", "Technical troubleshooting", "Project demos", "Data flow management", "Customer experience", "CX lifecycle", "AI Agents", "Voice AI agents", "Chat AI agents", "AI Copilot", "LLMs", "Vector DBs", "Orchestration frameworks", "Telephony systems", "Voice systems", "CCaaS", "PSTN", "N8n", "Zapier" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 928.3143, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a49bb74d8ee00a05e6a53", "title" : "Product Owner - Conversational AI", "company" : "Qantas Group", "industry" : "Airlines/Aviation", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product Owner in the Travel industry in Melbourne, Australia, adjusted for company size and seniority." }, "location" : "Melbourne, Victoria, Australia", "locations" : [ "Melbourne", "Victoria", "Australia" ], "timestamp" : "2026-06-14T19:31:26.140", "fingerprint" : "534b31e45f723520d0c14e78ee79c5baa00867140fff96327d7bc196f9287920", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/QantasGroup/6000000001138226-product-owner-conversational-ai", "externalId" : "6000000001138226", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Conversational AI, Generative AI, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product lifecycle management", "Customer outcomes", "Business case development", "Return on investment" ], "hardSkillsList" : [ "Product vision", "Product roadmap", "Data-led insights", "Performance metrics", "Vendor management", "Agile", "Lean" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Product vision", "level" : "intermediate" }, { "name" : "Product roadmap", "level" : "intermediate" }, { "name" : "Data-led insights", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" }, { "name" : "Vendor management", "level" : "intermediate" }, { "name" : "Agile", "level" : "intermediate" }, { "name" : "Lean", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Conversational AI, Product ownership, Customer experience", "majorSkillsList" : [ "Conversational AI", "Product ownership", "Customer experience" ], "coreResponsibilities" : "Lead the development and evolution of Jetstar’s Bot, Deliver a seamless experience across website, mobile app,, Support messaging, web messaging, Live Chat, and Agent, Ensure a connected, intelligent, and scalable customer support, Work closely with key technology partners and vendors, Deliver both deterministic and generative AI solutions, Drive continuous improvement and measurable customer outcomes, Own and deliver the conversational AI product vision, Lead end-end product lifecycle management from concept through, Ensure scalable and high-performing solutions, Partner with Technology, Architecture and Delivery teams to, Leverage deep knowledge of conversational AI and self-service, Shape intuitive, customer-centric experiences, Drive continuous improvement through data-led insights, performance metrics, Influence and align cross-functional stakeholders to deliver cohesive, Ensure platforms meet compliance, risk, audit, cyber and, Manage vendor relationships and assess emerging technologies, Enhance product capability and innovation, Support business case development and optimise return on, Embed scrum methodologies, Agile and Lean ways of, Provide leadership and guidance to specialists and delivery", "teamCollaboration" : "Collaborative Jetstar Customer team; Partner with Technology, Architecture and Delivery teams; Align cross-functional stakeholders", "projectManagementSkills" : [ "Agile", "Lean", "Scrum methodologies" ], "domainKnowledge" : "Conversational AI; Self-service platforms; Generative AI", "domainList" : [ "conversational-ai", "self-service-platforms", "generative-ai" ], "domainSpecificKnowledge" : [ "Conversational AI", "Self-service platforms", "Generative AI" ], "innovationCreativity" : "Innovate and drive change; Assess emerging technologies; Enhance product capability and innovation", "problemSolvingSkills" : "Data-led insights; Performance metrics", "outcomesObjectives" : "Deliver a seamless experience; Ensure a connected, intelligent, and scalable customer support ecosystem; Drive continuous improvement and measurable customer outcomes; Deliver enterprise-scale features; Shape intuitive, customer-centric experiences; Optimise return on product investment", "qualificationsBasic" : "Own and deliver conversational AI product vision, Lead end-to-end product lifecycle management, Partner with Technology, Architecture and Delivery teams, Leverage deep knowledge of conversational AI, Drive continuous improvement through data-led insights, Influence and align cross-functional stakeholders, Ensure platforms meet compliance, risk, audit, cyber and change management requirements, Manage vendor relationships, Assess emerging technologies, Support business case development, Embed scrum methodologies, Agile and Lean ways of working", "qualificationsPreferred" : "Basic typescript coding knowledge, Interest in developing automation capabilities", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We’re Jetstar. You may know us for our famous low fares, but did you also know that we’ve flown more than 400 million customers since we launched in Australia in 2004? In fact, each week we operate around 3,000 flights to nearly 40 destinations across Australia, New Zealand, Asia and the Pacific. We also operate a fleet of more than 80 aircraft, including state-of-the-art Airbus A320/21 NEO aircraft and the Airbus A320 family and Boeing 787-8s. Every day we enable more people to takeoff to more places, more often. Impressive numbers? What's even more impressive is the team of extraordinary people taking off together day in day out, flight after flight. Our people are the real jet stars! * Join our collaborative Jetstar Customer team to innovate and drive change for Help & Support products. * Flexible ways of working – hybrid model with 3 days onsite. * Permanent opportunity, based at our head office in Melbourne. If you’ve ever thought about a career in aviation — now is the perfect time to take off with Jetstar! We are undertaking one of the biggest recruitment campaigns in our 20-year-history. Join us during an exciting period as we welcome more state-of-the-art aircraft, launch new international routes and continue our mission to help more people take off through low fares. As the Product Owner for Conversational AI, you will lead the development and evolution of Jetstar’s Bot solutions delivering a seamless experience across our website, mobile app, and IVR channels. Your role extends beyond chatbots, supporting messaging, web messaging, Live Chat, and Agent Assist AI capabilities, ensuring a connected, intelligent, and scalable customer support ecosystem. You will work closely with key technology partners and vendors to deliver both deterministic and generative AI solutions, driving continuous improvement and measurable customer outcomes. You’ll have – * Own and deliver the conversational AI product vision and roadmap aligned to customer and business outcomes * Lead end‑to‑end product lifecycle management from concept through to optimisation, ensuring scalable and high‑performing solutions * Partner with Technology, Architecture and Delivery teams to prioritise, design and deliver enterprise‑scale features * Leverage deep knowledge of conversational AI and self‑service platforms to shape intuitive, customer‑centric experiences * Drive continuous improvement through data‑led insights, performance metrics and measurable outcomes * Influence and align cross‑functional stakeholders to deliver cohesive and impactful product outcomes * Ensure platforms meet compliance, risk, audit, cyber and change management requirements * Manage vendor relationships and assess emerging technologies to enhance product capability and innovation * Support business case development and optimise return on product investment * Embed scrum methodologies, Agile and Lean ways of working while providing leadership and guidance to specialists and delivery partners * A genuine interest in technology, innovation and how digital solutions enhance customer experiences * Basic typescript coding knowledge or an interest in developing automation capabilities is a plus, but not essential. Application closes on 16th June apply at the earliest to be considered! Your life at Jetstar is unlike any other. Live the travel dream: You and your nominated travel companions can take-off more with our famous Qantas Group Staff Travel discount. Make work feel like a holiday: Join a fun, driven team where work feels like a holiday. Our people take every opportunity to take-off together and find ways to help their teammates soar. There’s a place for everyone at Jetstar: For us, travel and meeting new people go hand in hand. We invite our people to get involved in various Employee Network Groups that play an important role in creating our inclusive and supportive culture that we are fiercely proud of. We believe that teams with a diversity of ideas and experiences are more creative, innovative and solve problems quickly. We welcome applications from anyone who wants to take-off with us. If you have support or access requirements, just reach out and let us know what you need. We’re Jetstar. Let’s take-off together!", "summaryDescription" : "Product Owner - Conversational AI at Qantas Group. Skills: Conversational AI, Product ownership, Customer experience. Lead the development and evolution of Jetstar’s Bot. Deliver a seamless experience across website, mobile app,", "postedDate" : "2026-06-08T23:17:54.000", "createdAt" : "2026-06-12T03:37:43.876", "lastUpdated" : "2026-06-14T19:31:26.140", "ingestTimestamp" : "2026-06-12T03:37:43.876", "mongoId" : "6a2a49bb74d8ee00a05e6a53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Product vision", "Product roadmap", "Data-led insights", "Performance metrics", "Vendor management", "Agile", "Lean", "Leadership", "Conversational AI", "Product ownership", "Customer experience", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Product lifecycle management", "Customer outcomes", "Business case development", "Return on investment", "Scrum methodologies", "Self-service platforms", "Generative AI" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "customer-service", "dataQualityScore" : 1.0, "_score" : 829.23785, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164d8c70f0b99d586f27fb", "title" : "SDET - Software Eng Test, Alexa AI", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level SDET in Pune, India, adjusted for the Technology industry and a large company size." }, "location" : "Pune, Maharashtra, IND", "locations" : [ "Pune, Maharashtra, IND" ], "timestamp" : "2026-06-15T01:18:07.404", "fingerprint" : "6fafd31995c737e20fb83d929257cf319fa78d7bd76a74a66ec6811f745c6b1b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122613/apply", "externalId" : "c735c746-c858-4823-b4d9-a8d74260bb7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, Python, JavaScript, AWS, Cloud technologies, Generative AI, LLM", "professionalSkills" : [ "System design", "Quality assurance", "AI quality metrics" ], "hardSkillsList" : [ "Automation frameworks", "API testing", "Data-driven validation", "Test metrics", "Root cause analysis", "Semantic validation", "Behavioral validation" ], "softSkillsList" : [ "Problem-solving", "Communication" ], "hardSkills" : [ { "name" : "Automation frameworks", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Data-driven validation", "level" : "intermediate" }, { "name" : "Test metrics", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Semantic validation", "level" : "intermediate" }, { "name" : "Behavioral validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Communication" } ], "majorSkills" : "LLM-based evaluation, Conversational intelligence, Automated systems, Prompt-driven evaluation", "majorSkillsList" : [ "LLM-based evaluation", "Conversational intelligence", "Automated systems", "Prompt-driven evaluation" ], "coreResponsibilities" : "Design frameworks for conversational intelligence, Build frameworks for conversational intelligence, Engineer automated systems to assess AI responses, Assess accuracy of AI responses, Assess reasoning depth of AI responses, Assess tone of AI responses, Assess responsiveness of AI responses, Automate detection of conversational regressions, Identify hallucinations, Identify degraded reasoning, Identify misaligned tones, Collaborate with prompt engineers, Collaborate with model developers, Collaborate with product teams, Establish testing methodologies, Ensure voice interaction feels conversational", "teamCollaboration" : "Partnering with scientists; Partnering with engineers; Collaborate with prompt engineers; Collaborate with model developers; Collaborate with product teams", "domainKnowledge" : "Conversational intelligence; Generative AI; LLM; Multimodal conversations; Context-rich conversations; Dialog flow; Personality coherence; Graceful curtailment", "domainList" : [ "conversational-intelligence", "generative-ai", "llm", "multimodal-conversations", "context-rich-conversations", "dialog-flow", "personality-coherence", "graceful-curtailment" ], "domainSpecificKnowledge" : [ "Conversational intelligence", "Generative AI", "LLM", "Multimodal conversations", "Context-rich conversations", "Dialog flow", "Personality coherence", "Graceful curtailment" ], "toolProficiency" : [ "UI automation", "API automation", "Backend automation" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Next-generation LLM-based evaluation systems", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ensure assessments remain consistent; Ensure assessments remain explainable; Ensure assessments remain scalable; Ensure every voice interaction feels conversational", "qualificationsBasic" : "4+ years of experience as SDET, Proficiency in Java, Python, or JavaScript, Hands-on experience building automation frameworks, Understanding of API testing, Understanding of data-driven validation, Understanding of test metrics, Excellent problem-solving skills, Ability to dive deep into complex systems, Communication and collaboration skills", "qualificationsPreferred" : "Knowledge of system architecture, Knowledge of scalability, Knowledge of reliability, Knowledge of performance in database environment, Experience with security in service-oriented architectures, Experience with security in web services, Master's degree in Computer Science, Experience with AWS or cloud technologies, Experience with LLM-based evaluation, Experience with prompt-driven testing, Experience with LLM-as-a-Judge frameworks, Hands-on experience using AI frameworks, Hands-on experience using LLM-based frameworks, Ability to design semantic validation, Ability to design behavioral validation, Proven record of collaborating with scientists, Proven record of collaborating with engineers, Define measurable AI quality metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Alexa+: An AI assistant that gets things done, she's smarter, more conversational, and more capable. With 600 million Alexa devices now out in the world, the latest advancements in generative AI have unlocked new possibilities enabling us to reimagine the experience in our pursuit of making customers' lives better and easier every day. Experts enables Alexa+ to complete complex tasks using Amazon and third-party (3P) APIs and websites. Some of these include: playing your favorite music, control your smart devices, reserving a table at a restaurant, setting your morning alarms, kitchen timers, booking event tickets, scheduling an appointment and planning a trip. No more jumping between apps just say what you want, and it's done. Developers and partners have been core to our vision since the beginning. With Alexa+, we reimagined how developers can build for Alexa. Alexa AI developer Technology charter is to enable creation of experts at scale and make it seamless for 1P and 3P developers to integrate their businesses with Alexa+. We are measurably making Alexa+ smarter, and we need your help to define and build the next generation of capabilities using GenerativeAI. Key job responsibilities As an SDET driving the creation of next-generation LLM-based evaluation systems for Alexa+, you’ll design and build the frameworks that define how conversational intelligence is measured determining whether millions of daily interactions feel accurate, natural, and human-centered. Your work goes far beyond binary pass/fail tests: you’ll engineer automated systems that assess accuracy, reasoning depth, tone, and responsiveness across multimodal, context-rich conversations. In this role, traditional testing boundaries dissolve. You’ll evaluate not just functional correctness, but whether the AI’s responses are contextually relevant, emotionally aligned, and conversationally fluent. Your systems will measure everything from factual accuracy and task completion to subtler attributes like dialog flow, personality coherence, and graceful curtailment. Partnering closely with scientists and engineers, you’ll automate the detection of conversational regressions identifying hallucinations, degraded reasoning, or misaligned tones before they reach customers. You’ll leverage prompt-driven evaluation pipelines, LLM-as-a-Judge (LLMaaJ) frameworks, and reference-based validation to ensure assessments remain consistent, explainable, and scalable across model versions and releases. You’ll also collaborate with prompt engineers, model developers, and product teams to establish robust, category-specific testing methodologies—from quick one-shot actions and task fulfillment to multi-turn dialogues and creative, open-ended interactions. Through your work, evaluation evolves from a quality gate into a self-improving assessment frameworks —one that learns, adapts, and ensures every voice interaction feels naturally conversational. Basic Qualifications: - Bachelor's degree or above in computer science, computer engineering, or related field, or Associate's degree or above - 4+ years of experience as an SDET, Software Engineer, or QA Automation Engineer - Proficiency in at least one programming language (e.g., Java, Python, or JavaScript) - Hands-on experience building and maintaining automation frameworks for UI, API, and backend systems - Strong understanding of API testing, data-driven validation, and test metrics - Excellent problem-solving skills and ability to dive deep into complex systems to identify root causes - Strong communication and collaboration skills, with a passion for driving quality across teams Preferred Qualifications: - Knowledge of overall system architecture, scalability, reliability, and performance in a database environment - Experience with security in service-oriented architectures and web services - Master's degree in Computer Science or a related field - Experience with AWS or cloud technologies - Experience with LLM-based evaluation, prompt-driven testing, or LLM-as-a-Judge frameworks - Hands-on experience using AI and LLM-based frameworks to automate quality testing and build intelligent evaluation systems. - Ability to design semantic and behavioral validation beyond functional correctness - Proven record of collaborating with scientists and engineers to define measurable AI quality metrics 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" : "SDET - Software Eng Test, Alexa AI at ADCI. Skills: LLM-based evaluation, Conversational intelligence, Automated systems, Prompt-driven evaluation. Design frameworks for conversational intelligence. Build frameworks for conversational intelligence", "postedDate" : "2026-06-12T23:17:36.514", "createdAt" : "2026-06-12T23:17:36.514", "lastUpdated" : "2026-06-15T01:18:07.404", "ingestTimestamp" : "2026-06-12T23:17:36.514", "mongoId" : "69164d8c70f0b99d586f27fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122613/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Automation frameworks", "API testing", "Data-driven validation", "Test metrics", "Root cause analysis", "Semantic validation", "Behavioral validation", "Problem-solving", "Communication", "LLM-based evaluation", "Conversational intelligence", "Automated systems", "Prompt-driven evaluation", "System design", "Quality assurance", "AI quality metrics", "Generative AI", "LLM", "Multimodal conversations", "Context-rich conversations", "Dialog flow", "Personality coherence", "Graceful curtailment", "UI automation", "API automation", "Backend automation" ], "skillCount" : 26, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 797.59924, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cd05574d8ee00a0a2ffd5", "title" : "Senior Conversational AI Delivery Engineer Lead - LATAM", "company" : "Omilia", "industry" : "Information Technology and Services", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Conversational AI Delivery Engineer in India, adjusted for senior experience and full-time remote work in the technology industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T03:26:49.289", "fingerprint" : "be15c9762ef0f5dea058ca8176465eaf87658a485b5fba1c442efc88a3d628c1", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/B3886596F2/apply", "externalId" : "B3886596F2", "industryFunction" : { }, "locationPoint" : "9.7489,-83.7534", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Conversational AI, Agentic automation, NLU modeling, GenAI, RAG pipelines, Embeddings, LLM prompt engineering, Python, Node.js, IVR, SIP, CTI, APIs", "professionalSkills" : [ "Solution design", "Client delivery", "Technical leadership", "Requirements translation", "Quality assurance", "Risk management", "Technical authority", "Client engagement", "Technical architecture", "CX design", "Mentorship", "Process improvement" ], "hardSkillsList" : [ "Conversational AI delivery", "Agentic automation delivery", "NLU modeling", "GenAI integration", "RAG implementation", "Prompt engineering", "Backend integration", "Contact center integration", "API integration", "Bot analytics", "AI quality monitoring", "Solution optimization", "KPI analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Conversational AI delivery", "level" : "intermediate" }, { "name" : "Agentic automation delivery", "level" : "intermediate" }, { "name" : "NLU modeling", "level" : "intermediate" }, { "name" : "GenAI integration", "level" : "intermediate" }, { "name" : "RAG implementation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Backend integration", "level" : "intermediate" }, { "name" : "Contact center integration", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Bot analytics", "level" : "intermediate" }, { "name" : "AI quality monitoring", "level" : "intermediate" }, { "name" : "Solution optimization", "level" : "intermediate" }, { "name" : "KPI analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Conversational AI, Agentic automation, GenAI integration, Client delivery", "majorSkillsList" : [ "Conversational AI", "Agentic automation", "GenAI integration", "Client delivery" ], "coreResponsibilities" : "Design conversational AI solutions, Configure conversational AI solutions, Deploy conversational AI solutions, Integrate GenAI capabilities, Own technical delivery quality, Manage contact center integrations, Act as technical anchor, Define regional standards, Define regional playbooks, Define regional quality bars, Help scope pod members, Interview pod members, Onboard pod members, Operate as regional technical authority, Serve as primary technical contact, Translate business requirements, Collaborate with Solution Architects, Collaborate with Product, Collaborate with Platform, Collaborate with R&D, Collaborate with Pre-Sales, Identify delivery risks, Manage delivery risks, Escalate technical issues, Drive issue resolution, Provide technical guidance, Mentor junior engineers, Contribute to delivery accelerators, Contribute to tooling, Contribute to solution components, Contribute to documentation, Research conversational AI developments, Research agentic frameworks, Research GenAI tooling, Foster quality culture, Foster innovation culture, Foster ownership culture", "teamCollaboration" : "Cross-time-zone collaboration; Client collaboration; Cross-functional collaboration; Global engineering teams; Product collaboration; Platform collaboration; R&D collaboration; Pre-Sales collaboration", "domainKnowledge" : "Conversational AI platforms; Agentic automation; Customer experience; Contact center infrastructure; CX requirements; CX goals; Business KPIs; Containment rate; CSAT", "domainList" : [ "conversational-ai-platforms", "agentic-automation", "customer-experience", "contact-center-infrastructure", "cx-requirements", "cx-goals", "business-kpis", "containment-rate", "csat" ], "domainSpecificKnowledge" : [ "Conversational AI platforms", "Agentic automation", "Customer experience", "Contact center infrastructure", "CX requirements", "CX goals", "Business KPIs", "Containment rate", "CSAT" ], "toolProficiency" : [ "Omilia OCP", "OpenAI API", "Gemini API", "Claude API" ], "communicationSkills" : "Client conversations; Technical concepts; Business stakeholders", "documentationSkills" : "Best-practice documentation", "continuousLearning" : "Research developments", "innovationCreativity" : "Foster innovation culture", "problemSolvingSkills" : "Troubleshooting; Issue resolution", "outcomesObjectives" : "On-time outcomes; On-budget outcomes; Aligned with client CX goals", "qualificationsBasic" : "7+ years experience delivering conversational AI, Experience leading enterprise deployments, Experience with enterprise conversational AI platform, Experience integrating GenAI/LLM, Python or Node.js backend integration, Contact center infrastructure experience, Bot analytics experience, English fluency required, Portuguese or Spanish fluency required", "qualificationsPreferred" : "Fluency in both Portuguese and Spanish, Industry experience in banking, Industry experience in insurance, Industry experience in healthcare, Industry experience in telco, Industry experience in utilities, Familiarity with Omilia OCP", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "### About Omilia Omilia is a leader in enterprise Conversational and Agentic AI for customer experience. Recognized as a Leader in the 2025 IDC MarketScape for Worldwide General Purpose Conversational AI and a Visionary in the 2025 Gartner Magic Quadrant for Conversational AI Platforms, we power voice and digital customer service for global enterprises in finance, insurance, healthcare, utilities and beyond. Our unified, self-learning platform spans voice and chat agents, authentication, fraud prevention, and agent assist, and completes customer service tasks with human-like understanding. ### Why LATAM, Why Now Omilia is expanding its footprint across the Americas to support accelerating customer demand and growth in North and South America. This role is a strategic, founding hire: the person we bring on will anchor our Conversational AI Delivery capability in the region and become the technical lead around whom we build a dedicated LATAM Delivery pod. The Senior Conversational AI Delivery Lead for LATAM is the hands-on technical owner responsible for designing, building, and deploying enterprise-grade conversational AI and agentic automation solutions on the Omilia platform for customers across North and South America. Operating at the intersection of AI engineering and client delivery, this role translates complex CX requirements into production-ready implementations while serving as the founding anchor of a regional Delivery pod that will grow under their technical leadership. ### **Purpose** As Senior Conversational AI Delivery Lead for LATAM, you will be the hands-on technical owner responsible for designing, building, and deploying enterprise-grade conversational AI and agentic automation solutions on the Omilia platform for customers across North and South America. You will operate at the intersection of AI engineering and client delivery — translating complex CX requirements into production-ready implementations — while serving as the seed of a regional Delivery pod that will grow under your technical leadership. ### **Core Responsibilities** Hands-on AI Solution Delivery * Design, configure, and deploy end-to-end conversational AI solutions on the Omilia OCP platform, covering agentic workflows blended with traditional NLU modeling, and omnichannel integrations. * Integrate GenAI capabilities into production deployments: RAG pipelines, embedding search, and LLM prompt engineering. * Own technical delivery quality from design through go-live and hypercare, ensuring on-time, on-budget outcomes aligned with client CX goals. * Manage contact center infrastructure integrations: IVR, SIP, CTI, and omnichannel APIs. Regional Pod Leadership * Act as the technical anchor for the emerging LATAM Conversational AI Delivery pod — defining standards, playbooks, and quality bars for the region. * Help scope, interview, and onboard pod members (engineers, junior delivery talent) as we scale the team around you. * Operate as the regional technical authority for Omilia delivery, working cross-time-zone with Athens HQ and other global hubs. Client & Cross-functional Collaboration * Serve as the primary technical point of contact for assigned client engagements in North and South America, translating business requirements into technical architectures and CX designs. * Collaborate closely with Solution Architects, Product, Platform, R&D, and Pre-Sales to ensure alignment on project requirements and Omilia platform capabilities. * Proactively identify and manage delivery risks, escalate complex technical issues, and drive resolution with urgency. * Build and maintain trusted relationships with customers and partners throughout the project lifecycle. Technical Leadership & Growth * Provide technical guidance and mentorship to junior engineers within the LATAM pod and the broader Delivery team. * Contribute to internal delivery accelerators, tooling, reusable solution components, and best-practice documentation. * Actively research developments in conversational AI, agentic frameworks, and GenAI tooling to drive continuous improvement in delivery processes. * Foster a culture of quality, innovation, and ownership within the team. **Requirements** Experience * 7+ years of hands-on experience delivering conversational AI or agentic automation solutions in enterprise environments. Proven experience leading complex, enterprise-grade deployments end to end. * Proven delivery track record with at least one enterprise conversational AI or IVR platform. * Practical experience integrating GenAI/LLM capabilities into production systems: RAG, embeddings, prompt engineering, LLM APIs (OpenAI, Gemini, Claude, etc.). * Familiarized with Python (preferred) or Node.js for backend integrations and automation scripting. * Experience with contact center infrastructure: IVR, SIP, CTI, and omnichannel API integrations. * Experience with bot analytics, AI quality monitoring, and solution optimization tooling. Working understanding of core business KPIs such as containment rate, and CSAT. * Track record working with enterprise customers in LATAM and/or North America. Languages * Excellent written and spoken English — required. You will work daily with global engineering and product teams. * Professional fluency in Portuguese OR Spanish — required to serve our LATAM customer base. * Fluency in BOTH Portuguese and Spanish — strongly preferred. Skills & Competencies * Ability to lead technical client conversations and translate complex requirements into implementation plans. * Ability to act as a trusted advisor to customers — navigating delivery challenges, removing blockers, and ensuring the final solution meets their business objectives, customer experience standards, and quality expectations. * Clear communication — able to convey technical concepts to both technical peers and business stakeholders. * Collaborative mindset with demonstrated ability to work across delivery, product, sales, and platform teams. * Self-directed and ownership-oriented; capable of managing multiple concurrent engagements. * Comfortable being a founding regional hire — willing to define ways of working, not just execute against them. Nice to Have * Industry experience in banking, insurance, healthcare, telco or utilities. * Familiarity with Omilia OCP. Cooperation * Solution Delivery · Product · Platform · R&D · Sales · Pre-Sales · Certified Partners **Omilia Note** * Contribute actively and effectively as an integrated team member * Act as an Omilia ambassador in all interactions **Benefits** * Fixed compensation; * Long-term employment with the working days vacation; * Development in professional growth (courses, training, etc); * Being part of successful cutting-edge technology products that are making a global impact in the service industry; * Proficient and fun-to-work-with colleagues; * Apple gear _Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment._", "summaryDescription" : "Senior Conversational AI Delivery Engineer Lead - LATAM at Omilia. Skills: Conversational AI, Agentic automation, GenAI integration, Client delivery. Design conversational AI solutions. Configure conversational AI solutions", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-13T22:00:50.556", "lastUpdated" : "2026-06-15T03:26:49.289", "ingestTimestamp" : "2026-06-13T22:00:50.556", "mongoId" : "6a2cd05574d8ee00a0a2ffd5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/B3886596F2", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Conversational AI delivery", "Agentic automation delivery", "NLU modeling", "GenAI integration", "RAG implementation", "Prompt engineering", "Backend integration", "Contact center integration", "API integration", "Bot analytics", "AI quality monitoring", "Solution optimization", "KPI analysis", "Leadership", "Conversational AI", "Agentic automation", "Client delivery", "Solution design", "Technical leadership", "Requirements translation", "Quality assurance", "Risk management", "Technical authority", "Client engagement", "Technical architecture", "CX design", "Mentorship", "Process improvement", "Conversational AI platforms", "Customer experience", "Contact center infrastructure", "CX requirements", "CX goals", "Business KPIs", "Containment rate", "CSAT", "Omilia OCP", "OpenAI API", "Gemini API", "Claude API" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 764.5963, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca35c74d8ee00a09ab65e", "title" : "METI Internship Program - AI Accelerator Course", "company" : "Tenstorrent", "industry" : "Technology", "salary" : { "min" : 2400000.0, "max" : 3600000.0, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level technology internships in Japan, adjusted for company size and industry." }, "location" : "Japan", "locations" : [ "Japan" ], "timestamp" : "2026-06-15T08:14:24.539", "fingerprint" : "4bbb23075ae1eb161a80a987fcf2e7e087a44fce353997f7219c20d92b239e73", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tenstorrentunlisted/jobs/4998826007", "externalId" : "4998826007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Japan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Japan", "employmentType" : "INTERNSHIP", "technicalSkills" : "AI, RISC-V", "majorSkills" : "AI technology", "majorSkillsList" : [ "AI technology" ], "coreResponsibilities" : "Provide knowledge of hardware design, Gain hands-on experience, Create professional technical documents, Improve global communication skills, Deepen understanding of different cultures, Expand international human communication", "teamCollaboration" : "Collaboration", "domainKnowledge" : "AI platform; Hardware design", "domainList" : [ "ai-platform", "hardware-design" ], "domainSpecificKnowledge" : [ "AI platform", "Hardware design" ], "communicationSkills" : "Global communication; Technical documents", "documentationSkills" : "Technical documents", "continuousLearning" : "Internship program", "specialRequirements" : "U.S. export laws", "rawDescription" : "Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. This internship program aims to provide participants with knowledge of hardware design and to give them hands-on experience of the Tenstorrent development process, so that they can gain a deeper understanding of it. It also emphasizes the importance of creating professional technical documents and improving global communication skills in business. Furthermore, through experiencing American culture and interacting with colleagues, participants will deepen their understanding of different cultures in business and expand their international human communication. Please send your resume to be qualified for the METI internship selection process. Tenstorrent will contact you for the interview schedule if you passed our first assessment. If you have any questions regarding application, please contact to recruiting-jp@tenstorrent.com This offer of employment is contingent upon the applicant being eligible to access U. S. export-controlled technology. Due to U. S. export laws, including those codified in the U. S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U. S. and all countries outside the U. S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U. S. Commerce Department or applicable federal agency. If employment is not possible due to U. S. export laws, any offer of employment will be rescinded.", "summaryDescription" : "METI Internship Program - AI Accelerator Course at Tenstorrent. Skills: AI technology. Provide knowledge of hardware design. Gain hands-on experience", "postedDate" : "2026-06-13T20:58:21.836", "createdAt" : "2026-06-13T20:58:21.836", "lastUpdated" : "2026-06-15T08:14:24.539", "ingestTimestamp" : "2026-06-13T20:58:21.836", "mongoId" : "6a2ca35c74d8ee00a09ab65e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI technology", "AI platform", "Hardware design" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 756.02655, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "68e0a7e2ce260f92cbf8e99d", "title" : "GTM Acceleration Lead, Applied AI Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 133200.0, "max" : 220200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T06:34:56.340", "fingerprint" : "169c9302ff8a12eeccb128398b0d009212828a6603ec036149da7351c6a13beb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100442/apply", "externalId" : "c705e04b-c8a5-41e6-8f87-9b961c1f36e9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Business dynamics", "Field enablement", "Data-driven decisions" ], "hardSkillsList" : [ "Business strategy", "Operational excellence", "Performance optimization" ], "softSkillsList" : [ "Think Big", "Invent & Simplify" ], "hardSkills" : [ { "name" : "Business strategy", "level" : "intermediate" }, { "name" : "Operational excellence", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Think Big" }, { "name" : "Invent & Simplify" } ], "majorSkills" : "GTM strategy, Business development, AI solutions", "majorSkillsList" : [ "GTM strategy", "Business development", "AI solutions" ], "coreResponsibilities" : "Design geo engagement models, Lead business reviews, Develop measurement frameworks, Drive GTM plans, Build strategic relationships, Partner with initiative teams, Work with operations teams, Surface challenges to leadership, Foster cross-organizational alignment, Dive deep into business dynamics", "teamCollaboration" : "Field VPs; Regional Leaders; Senior leaders; Field leadership teams; Operations teams; Strategic Initiative teams; AAIS GTM leaders; Regional stakeholders", "projectManagementSkills" : [ "Strategic initiatives" ], "domainKnowledge" : "Applied AI Solutions; Agentic business applications; AWS field enablement", "domainList" : [ "applied-ai-solutions", "agentic-business-applications", "aws-field-enablement" ], "domainSpecificKnowledge" : [ "Applied AI Solutions", "Agentic business applications", "AWS field enablement" ], "communicationSkills" : "Regular reporting; Strategic insights", "problemSolvingSkills" : "Data-driven decisions; Bias for action; Analytical skills", "outcomesObjectives" : "Accelerate GTM strategy; Enhance performance", "qualificationsBasic" : "5+ years business agreements", "qualificationsPreferred" : "MBA, Explain complex technical concepts, Complete complex tasks quickly", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon’s real-world experience, to build opinionated, turn-key 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. We are seeking an experienced and strategic-minded Principal Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization. This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed. You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position. Key job responsibilities 1. Design and implement structured geo engagement models and interlock cadences with Field VPs, Regional Leaders, and key stakeholders to drive unified execution of AAIS strategy and accelerated growth 2. Lead regular geo-specific business reviews and strategy sessions, tracking progress against key metrics and ensuring alignment with organizational goals 3. Develop and maintain comprehensive measurement frameworks to evaluate geo-specific initiatives, providing data-driven insights to optimize performance 4. Drive execution of geo-specific GTM plans and \"Get to Green\" initiatives, coordinating cross-portfolio activities across regions 5. Build and maintain strategic relationships with field leadership teams, serving as the primary liaison between AAIS GTM leaders and regional stakeholders 6. Partner with Strategic Initiative teams to set priorities and ensure seamless integration of cross-area initiatives across the organization 7. Work closely with Operations teams to facilitate smooth execution of business rhythms and strategic programs 8. Surface key challenges, opportunities, and recommendations to leadership through regular reporting and strategic insights 9. Foster cross-organizational alignment by effectively communicating strategy, goals, and progress across all levels of the organization, including the AAIS Service team. 10. Dive deep into business dynamics by collecting meaningful data, anecdotes, insights, and trends About the team Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications: - 5+ years of developing, negotiating and executing business agreements experience - Bachelor's degree - Experience developing strategies that influence leadership decisions at the organizational level - Experience interpreting data and making business recommendations - Experience influencing internal and external stakeholders - Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions Preferred Qualifications: - MBA - Experience explaining complex technical concepts to various business and technical audiences - Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/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" : "GTM Acceleration Lead, Applied AI Solutions at Amazon Web Services, Inc.. Skills: GTM strategy, Business development, AI solutions. Design geo engagement models. Lead business reviews", "postedDate" : "2026-06-13T15:54:41.956", "createdAt" : "2026-06-13T15:54:41.956", "lastUpdated" : "2026-06-15T06:34:56.340", "ingestTimestamp" : "2026-06-13T15:54:41.956", "mongoId" : "68e0a7e2ce260f92cbf8e99d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100442/apply", "salaryAnnualMin" : 133200, "salaryAnnualMax" : 220200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Business strategy", "Operational excellence", "Performance optimization", "Think Big", "Invent & Simplify", "GTM strategy", "Business development", "AI solutions", "Business dynamics", "Field enablement", "Data-driven decisions", "Strategic initiatives", "Applied AI Solutions", "Agentic business applications", "AWS field enablement" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 755.4791, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6a9bc74574cbbb34af", "title" : "GTM Acceleration Lead, Applied AI Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 147900.0, "max" : 200100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T01:41:27.854", "fingerprint" : "355522ac69b8ab990ae9211e1af6d79c82725816fa62ec9aba9634282de2e2d2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3197818/apply", "externalId" : "461c1302-4ad1-4d0b-aee5-aced78e410a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "GTM strategy", "Business development", "Data analysis", "Strategic initiatives", "Operational excellence", "Field enablement", "Partner enablement", "Sales effectiveness", "Geo-specific GTM plans", "Organizational effectiveness", "Business opportunities", "Business risks", "Business process", "Data models" ], "hardSkillsList" : [ "Data-driven decision making", "Sophisticated data models", "Advanced analytics" ], "softSkillsList" : [ "Curiosity", "Risk taking" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Sophisticated data models", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Risk taking" } ], "majorSkills" : "GTM acceleration, Applied AI Solutions, Strategic initiatives", "majorSkillsList" : [ "GTM acceleration", "Applied AI Solutions", "Strategic initiatives" ], "coreResponsibilities" : "Contribute to AAIS portfolio strategy development, Architect strategies and analytics frameworks, Drive data-driven decision making, Design field and partner enablement programs, Implement training and engagement models, Transform sales effectiveness, Translate business questions into analytical frameworks, Drive strategic initiatives and operational excellence, Develop geo-specific GTM plans, Develop \"Get to Green\" plans, Implement scalable mechanisms, Drive organizational effectiveness, Build strategic relationships, Serve as primary liaison, Deliver deep-dive analyses, Highlight business opportunities and risks, Manage feedback loops, Lead cross-organizational initiatives, Integrate solutions, Streamline business processes, Foster organizational alignment, Communicate strategy and goals, Drive proven results, Analyze business dynamics, Architect scalable solutions, Identify opportunities for AAIS enhancements, Build sophisticated data models, Build data analysis, Perform advanced analytics, Support business priorities, Identify anomalies, Improve business process, Ensure quality of analytical outputs, Oversee development of reporting frameworks, Maintain recurring reporting frameworks", "teamCollaboration" : "Field leadership; Partner leadership; Regional stakeholders; Business teams; Field teams; Partner teams; GTM leadership", "domainKnowledge" : "Applied AI Solutions; Agentic business applications; Cloud computing", "domainList" : [ "applied-ai-solutions", "agentic-business-applications", "cloud-computing" ], "domainSpecificKnowledge" : [ "Applied AI Solutions", "Agentic business applications", "Cloud computing" ], "communicationSkills" : "Effective communication", "problemSolvingSkills" : "Data-driven decision making; Analytical frameworks; Deep-dive analyses; Advanced analytics", "outcomesObjectives" : "Achieve strategic goals; Transform organizational capability; Enhance performance with speed", "qualificationsBasic" : "Understanding of internal AWS and external Partner business dynamics, AWS field enablement and planning processes, Ability to make data-driven decisions, Bias for action to implement strategies, Analytical skills, Think Big skills, Invent & Simplify skills", "qualificationsPreferred" : "Senior Tech BD experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon’s real-world experience, to build opinionated, turn-key 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. We are seeking an experienced and strategic-minded Senior Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization. This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed. You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position. Key job responsibilities 1. Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions. 2. Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions. 3. Partner with GTM leadership to translate business questions into analytical frameworks that drive strategic initiatives and operational excellence 4. Develop geo-specific GTM plans and \"Get to Green\" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions. 5. Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders. 6. Partner with business teams to deliver deep-dive analyses, highlighting business opportunities and risks, while managing feedback loops between field teams, partners, and GTM leadership. 7. Lead cross-organizational initiatives with partner teams to integrate solutions and streamline business processes. 8. Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results. 9. Analyze business dynamics and architect scalable solutions, identifying opportunities for AAIS-specific enhancements to AWS field and partner scaling programs. 10. Roll up sleeves and build sophisticated data models and data analysis as needed. 11. Proactively perform advanced analytics that support the business priorities, identify anomalies, and improve business process. 12. Ensure quality and consistency of analytical outputs across team deliverables. Oversee the development and maintenance of recurring reporting frameworks including AAIS initiatives and goals. About the team Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications: - 5+ years of developing, negotiating and executing business agreements experience - Bachelor's degree - Experience developing strategies that influence leadership decisions at the organizational level - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience in Go-To-Market, Business Development, Sales, or Consulting Preferred Qualifications: - MBA - 3+ years of working with Business Application Technologies, including, but not limited to End User Compute (EUC), Supply Chain, Contact Center as a Service, Consumer Data Applications, Encrypted Communications, and/or Communication Developer Services experience - Experience interpreting data and making business recommendations 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, Irvine - 147,900.00 - 200,100.00 USD annually USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually USA, CA, San Diego - 147,900.00 - 200,100.00 USD annually USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually USA, NY, New York - 162,700.00 - 220,200.00 USD annually USA, TX, Austin - 147,900.00 - 200,100.00 USD annually USA, TX, Dallas - 147,900.00 - 200,100.00 USD annually USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually", "summaryDescription" : "GTM Acceleration Lead, Applied AI Solutions at Amazon Web Services, Inc.. Skills: GTM acceleration, Applied AI Solutions, Strategic initiatives. Contribute to AAIS portfolio strategy development. Architect strategies and analytics frameworks", "postedDate" : "2026-06-13T05:05:42.892", "createdAt" : "2026-06-13T05:05:42.892", "lastUpdated" : "2026-06-15T01:41:27.854", "ingestTimestamp" : "2026-06-13T05:05:42.892", "mongoId" : "69c94a6a9bc74574cbbb34af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3197818/apply", "salaryAnnualMin" : 147900, "salaryAnnualMax" : 200100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data-driven decision making", "Sophisticated data models", "Advanced analytics", "Curiosity", "Risk taking", "GTM acceleration", "Applied AI Solutions", "Strategic initiatives", "GTM strategy", "Business development", "Data analysis", "Operational excellence", "Field enablement", "Partner enablement", "Sales effectiveness", "Geo-specific GTM plans", "Organizational effectiveness", "Business opportunities", "Business risks", "Business process", "Data models", "Agentic business applications", "Cloud computing" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 753.69934, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69e104372beec4dd3def1855", "title" : "Principal GTM Lead, WW Experience-Based Acceleration", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 176100.0, "max" : 238200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "SAFe", "APM", "CSM", "PMI-PMP", "PMI-ACP", "PRINCE2" ], "timestamp" : "2026-06-15T03:24:17.209", "fingerprint" : "afd22ab17293e577c2f0d66bb1a544bdc4edfd028f24080d8867618e99573d2d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387945/apply", "externalId" : "c035d729-5097-4c39-aba3-71ed66cc238c", "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" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AWS", "professionalSkills" : [ "Go-to-market strategy", "Business development", "Sales", "Consulting", "Customer adoption", "Cloud value realization", "Enterprise transformation", "Methodology development", "Strategic initiatives", "Executive alignment", "Field enablement", "Delivery motions", "Stakeholder alignment", "Project execution", "Business metrics", "Technical information", "Strategic discussions" ], "hardSkillsList" : [ "GTM strategy", "Sales delivery", "Program management", "Customer engagement", "Data analysis", "Technical writing" ], "softSkillsList" : [ "Leadership", "Judgment", "Integrity", "Business acumen", "Communication skills" ], "hardSkills" : [ { "name" : "GTM strategy", "level" : "intermediate" }, { "name" : "Sales delivery", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Technical writing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Integrity" }, { "name" : "Business acumen" }, { "name" : "Communication skills" } ], "majorSkills" : "Go-to-market strategy, Customer transformation, Cloud adoption", "majorSkillsList" : [ "Go-to-market strategy", "Customer transformation", "Cloud adoption" ], "coreResponsibilities" : "Develop and deploy a repeatable and scalable Go-to-market, Drive executive alignment within the AWS cross-organizations for, Institute a customer and field enablement strategy, Own and manage Customer-facing EBA content, engagement assets,, Deploy an engagement model for high-value sales/delivery motions, Align key stakeholders (Customers, AWS teams) on EBA, Gather knowledge, lead projects, and coordinate execution across, Identify and produce appropriate business metrics, Continually assess business metrics to improve over time, Concisely represent EBA to AWS business leaders and, Prepare and present detailed, written technical information for, Apply expertise in strategic discussions, Keep all stakeholders productively engaged", "teamCollaboration" : "Cross-AWS visibility; Cross-team efforts; Diverse business and engineering leaders; C-level partnership; Complex customer landscape; Customer and AWS organizations; Multiple global teams", "projectManagementSkills" : [ "Agile certifications", "Project management" ], "domainKnowledge" : "Enterprise Transformation; Cloud adoption; Migration Acceleration Program; Cloud value realization; Customer business transformation; AI; Innovation", "domainList" : [ "enterprise-transformation", "cloud-adoption", "migration-acceleration-program", "cloud-value-realization", "customer-business-transformation", "ai", "innovation" ], "domainSpecificKnowledge" : [ "Enterprise Transformation", "Cloud adoption", "Migration Acceleration Program", "Cloud value realization", "Customer business transformation", "AI", "Innovation" ], "communicationSkills" : "Verbal skills; Written skills; Executive alignment; Report progress; Communicate relevant data; Communicate progress and outcomes; Written technical information", "problemSolvingSkills" : "Unlock limitations; Scaling factors; Boundary conditions; Strategic decision processes", "outcomesObjectives" : "Drive customer impact; Act as a force multiplier; Unlock customer cloud value realization", "qualificationsBasic" : "Bachelor's degree or above in Computer Science, Computer Engineering, Information Technology, or related fields, 10+ years of Go-To-Market, Business Development, Sales, or Consulting experience, 5+ years of experience leading sales or delivery of GTM programs at global companies", "qualificationsPreferred" : "Active project management and Agile certifications (SAFe, APM, CSM, PMI-PMP, PMI-ACP, PRINCE2)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come join a team dedicated to Enterprise Transformation. The Experience-Based Acceleration (EBA) Team developed a repeatable methodology to drive large enterprise customer transformations and accelerate the business benefits of their adoption of AWS. Our customers leverage EBAs as the tip of the spear to change the way they work and help accelerate their cloud adoption where traditional analysis and methodologies fall short. Among hackathons, immersion days, and other adoption initiatives, EBA ranked as a top mechanism for cloud value realization and customer business transformation. It is integrated in MAP (Migration Acceleration Program) - AWS’ largest migration program, expanding the need to enable EBA capabilities globally and rapidly scale across multiple AWS functions. The GTM Lead is at the center of scaling the methodology, top-down and bottom-up, ensuring global AWS customers and AWS teams adopt EBA as their cloud value realization framework across – Migration, Modernization, Innovation (AI). follow a unified process while keeping a high-quality bar. The GTM Lead coordinates large scale strategic initiatives and is measured in their approach to coach others to lead the customer adoption of AWS while maintaining a high engagement bar. Coaching customers, AWS leaders, AWS field teams, this role will have cross-AWS visibility by driving alignment for cloud acceleration in our Enterprise and multi-national customers. The successful candidate must be comfortable individually driving cross-team efforts with a collective mission, defining well-considered objectives and metrics to guide decision-making and drive change. Leading by example when engaging diverse business and engineering leaders at all levels including CxOs, the candidate leverages strong verbal and written skills and exceptional business judgment. The GTM Lead will coach how to partner with C-level to drive executive alignment, report progress, and co-own escalations. The Customer Obsessed GTM Lead is expected to coach others on orchestration of successful EBAs by integrating people, processes, and technology in complex customer landscape. They unlock limitations, scaling factors, boundary conditions, and reasons behind strategic decision processes. Additionally, The GTM Lead can internally seek out and clearly communicate relevant data to support complex business decisions scaling the EBA methodology across Customer and AWS organizations and drive the right recommendations in a highly collaborative and effective fashion. They own initiatives to scale EBA with clear objective, measurable success criteria, and clearly communicate progress and outcomes. Key job responsibilities • Develop and deploy a repeatable and scalable Go-to-market (GTM) strategy for EBA Orchestration at a high bar to unlock customer cloud value realization. • Drive executive alignment within the AWS cross-organizations for scaling EBA initiatives to drive customer impact. • Institute a customer and field enablement strategy to act as a force multiplier. • Own and manage Customer-facing EBA content, engagement assets, and delivery mechanisms. • Deploy an engagement model for high-value sales/delivery motions by leveraging relevant data. • Align key stakeholders (Customers, AWS teams) on EBA offerings, outcomes, and objectives. • Gather knowledge, lead projects, and coordinate execution across multiple global teams and stakeholders. • Identify and produce appropriate business metrics, and continually assess them to improve over time. • Concisely represent EBA to AWS business leaders and technical teams at all levels. • Prepare and present detailed, written technical information for internal and external audiences. • Apply expertise in strategic discussions, keeping all stakeholders productively engaged. • Demonstrate exceptional judgment, integrity, business acumen, and communication skills. About the team About AWS Diverse Experiences AWS 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. 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: - Bachelor's degree or above in Computer Science, Computer Engineering, Information Technology, or related fields - 10+ years of Go-To-Market, Business Development, Sales, or Consulting experience - 5+ years of experience leading sales or delivery of GTM programs at global companies and deep understanding of end-to-end customer cloud journey and technology. - Knowledge of public cloud and hybrid cloud platforms; strong preference for cloud adoption program management or delivery experiences. - Proven ability to operate at CxO level and across technical, operational, and business stakeholders to implement cloud transformation strategies. Preferred Qualifications: - Master's degree in Business Administration, Finance, Economics, Computer Science, or a related field - AWS certification - Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics - Experience developing, implementing, and executing technology strategy across cross-functional senior stakeholders. - Active project management and Agile certifications (SAFe, APM, CSM, PMI-PMP, PMI-ACP, PRINCE2). 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, MA, Boston - 176,100.00 - 238,200.00 USD annually USA, NY, New York - 193,700.00 - 262,000.00 USD annually USA, OR, Portland - 176,100.00 - 238,200.00 USD annually USA, TX, Austin - 176,100.00 - 238,200.00 USD annually USA, VA, Arlington - 176,100.00 - 238,200.00 USD annually USA, WA, Seattle - 176,100.00 - 238,200.00 USD annually", "summaryDescription" : "Principal GTM Lead, WW Experience-Based Acceleration at Amazon Web Services, Inc.. Skills: Go-to-market strategy, Customer transformation, Cloud adoption. Develop and deploy a repeatable and scalable Go-to-market. 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AI Agent Experience Team; Business Operations; Technical Account Management; Engineering", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Voice AI; VUI principles; Prompt engineering; Multi-turn dialogue; Travel industry; Fintech industry; SaaS industries; Communication frameworks; Neurolinguistic programming; Fogg Behavior Model", "domainList" : [ "voice-ai", "vui-principles", "prompt-engineering", "multi-turn-dialogue", "travel-industry", "fintech-industry", "saas-industries", "communication-frameworks", "neurolinguistic-programming", "fogg-behavior-model" ], "domainSpecificKnowledge" : [ "Voice AI", "VUI principles", "Prompt engineering", "Multi-turn dialogue", "Travel industry", "Fintech industry", "SaaS industries", "Communication frameworks", "Neurolinguistic programming", "Fogg Behavior Model" ], "toolProficiency" : [ "Decagon AI platform", "CRM software", "Excel", "Looker", "Google Analytics", "Decagon", "Ada", "Poly", "Intercom", "Drift" ], "communicationSkills" : "Written communication; Verbal communication; Script writing; Conversational pacing; Natural language patterns", "documentationSkills" : "Build documentation", "continuousLearning" : "Personal development funds; Team-level learning resources", "problemSolvingSkills" : "Data-driven insights; Analytical skills; Performance analysis", "outcomesObjectives" : "Maximize lives; Unlock potential; Realize impact; Supercharge career; Make customer support easy; Make customer support financially efficient; Reduce time to solve problem; Reduce contacts to solve problem; Reduce steps to solve problem; Ensure clear support; Ensure helpful support; Ensure consistent support; Impact customer satisfaction", "qualificationsBasic" : "Degree in Data Analytics, Communications, Marketing, Business, or related field, Experience developing and optimizing chatbot playbooks and conversational flows, Understanding of voice AI conversation design, VUI principles, Prompt engineering, Multi-turn dialogue management, Exceptional written and verbal communication skills, Experience writing and refining scripts for customer-facing AI, Attention to conversational pacing and natural language patterns, Analytical skills, Ability to interpret CSAT, NPS, and chatbot performance data, Proficiency in CRM software, Proficiency in data analytics tools, Hands-on experience designing error recovery paths, Hands-on experience designing escalation logic, Hands-on experience designing timeout handling", "qualificationsPreferred" : "Experience with the Decagon Platform, Hands-on experience in AI chatbot management, Experience with customer automation platforms, Exposure to travel industry, Exposure to fintech industry, Exposure to SaaS industries, Knowledge of communication frameworks, Project management skills", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "SENIOR AUTOMATED CUSTOMER EXPERIENCE/AI CONVERSATION DESIGNER ABOUT SUPER.COM http://Super.com We started Super.com http://Super.com to help maximize lives–both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com http://Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized. We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career, and our aim is to supercharge it through the people, the work, and the programs that fuel who we are. ABOUT THE ROLE Our mission is to make customer support easy and financially efficient. We are obsessed with reducing the time, contacts, and steps it takes to solve a customer’s problem or question, and believe that effective AI Support is the cornerstone to our success. In this role, you'll shape the way we communicate and support our customers through our AI Agents—both chat and voice —across multiple channels and partners. You will own all things related to AI Agent communication, training, and experimentation, including playbook creation for both text-based chat flows and voice conversational design. You'll collaborate directly with cutting-edge AI partners to create and optimize playbooks that ensure customers receive clear, helpful, and consistent support regardless of whether they're chatting or calling. This is a unique opportunity to blend communication strategy, AI playbook management, and data-driven insights to impact our North Star: customer satisfaction directly. ABOUT THE TEAM This role is part of the newly formalized, AI Agent Experience Team focused solely on the training, performance, and optimization of our AI Agents. We believe Super.com http://Super.com Customer Support is positioned to lead the industry curve in AI Agent support coverage and capabilities. Through experimentation and listening to our customers' experiences, we advocate for continuous AI experience evolution and shape our partners’ roadmaps. This team works closely across multiple Operations sub-functions - including Business Operations, Technical Account Management, and Engineering. WHAT YOU’LL BE WORKING ON: - Design, build, and continuously optimize AI chatbot playbooks and conversational flows in our Decagon AI platform - Monitor and analyze Chatbot performance (CSAT, resolution rates, deflection), identifying opportunities to improve resolution and customer experience. - Collaborate with cross-functional teams to refine conversational design and ensure a smooth customer journey. - Build clear documentation and escalation paths for when AI self-service cannot fully resolve a customer issue. - Analyze bot feedback and performance trends to identify key drivers of satisfaction and friction. - Translate feedback into actionable recommendations for AI product, operations, and support. WHAT WE’RE LOOKING FOR: - Degree in Data Analytics, Communications, Marketing, Business, or a related field. - Experience developing and optimizing chatbot playbooks and conversational flows, with an understanding of voice AI conversation design, including VUI principles, prompt engineering, and multi-turn dialogue management. Experience with the Decagon Platform preferred. - Exceptional written and verbal communication skills, with experience writing and refining scripts for customer-facing AI across both chat and voice channels, including attention to conversational pacing and natural language patterns. - Strong analytical skills with the ability to interpret CSAT, NPS, and chatbot performance data and turn them into actionable insights. - Proficiency in CRM software and data analytics tools (e.g., Excel, Looker, Google Analytics) to extract insights and track bot performance. - Hands-on experience designing error recovery paths, escalation logic, and timeout handling for AI-driven customer interactions. BONUS POINTS FOR: - Hands-on experience in AI chatbot management (e.g., Decagon, Ada, Poly,, Intercom, Drift) or customer automation platforms. - Exposure to travel, fintech, or SaaS industries. - Knowledge of communication frameworks (e.g., neurolinguistic programming, Fogg Behavior Model). - Strong project management skills with a proven ability to manage multiple priorities. WE’VE GOT YOU COVERED: At Super.com http://Super.com, we believe in supporting our team so they can thrive—both at work and in life. - Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms. - Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites. - Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things. - Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan. - Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits. - Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources. At Super.com http://Super.com, we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant. Super.com http://Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify your Talent Acquisition Partner.", "summaryDescription" : "Senior Automated Customer Experience / AI Conversation Designer at Super.com. Skills: AI Conversation Design, Chatbot Playbooks, Voice Conversational Design. Design AI chatbot playbooks. Build AI chatbot playbooks", "postedDate" : "2026-06-11T18:26:23.973", "createdAt" : "2026-06-11T18:26:23.973", "lastUpdated" : "2026-06-13T10:22:42.762", "ingestTimestamp" : "2026-06-11T18:26:23.973", "mongoId" : "6a2a71d974d8ee00a064a99e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 72000, "salaryAnnualMax" : 113000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Conversational design", "Voice AI design", "Prompt engineering", "Dialogue management", "Data interpretation", "Performance tracking", "AI Conversation Design", "Chatbot Playbooks", "Voice Conversational Design", "Conversation design", "Communication strategy", "Data-driven insights", "Playbook creation", "Customer journey", "Performance analysis", "Trend identification", "Actionable recommendations", "Project management", "Voice AI", "VUI principles", "Multi-turn dialogue", "Travel industry", "Fintech industry", "SaaS industries", "Communication frameworks", "Neurolinguistic programming", "Fogg Behavior Model", "Decagon AI platform", "CRM software", "Excel", "Looker", "Google Analytics", "Decagon", "Ada", "Poly", "Intercom", "Drift" ], "skillCount" : 37, "jobCategory" : "operations", "jobSubcategory" : "operations", "dataQualityScore" : 1.0, "_score" : 748.2524, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a260fbe74d8ee00a01f3996", "title" : "AI Accelerator Lead", "company" : "Os", "industry" : "Geospatial Technology", "salary" : { "min" : 79079.0, "max" : 92258.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Southampton, United Kingdom", "locations" : [ "Southampton, United Kingdom" ], "timestamp" : "2026-06-12T09:51:19.650", "fingerprint" : "91a9e6e4b2ee8af890f2831f06d1b046dbcede3ef0bb6aaf9d8419e3142492e3", "source" : "workday", "language" : "en", "applyUrl" : "https://ordnancesurvey.wd3.myworkdayjobs.com/OS_Careers/job/Southampton-United-Kingdom/AI-Accelerator-Lead_JR002798-1", "externalId" : "JR002798", "industryFunction" : { }, "locationPoint" : "50.90395,-1.40428", "structuredLocations" : [ { "city" : "Southampton", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.9025349,-1.4041890" } ], "locationText" : "Southampton, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI/ML, LLMs, Agentic systems, Orchestration frameworks, Python", "professionalSkills" : [ "Programme Leadership", "Capability Building", "Stakeholder Engagement", "Communicating Impact" ], "hardSkillsList" : [ "Geo foundation models", "Rapid prototyping", "Code reviews", "Learning resources", "Ethical application", "Human-in-the-loop workflows" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Geo foundation models", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Learning resources", "level" : "intermediate" }, { "name" : "Ethical application", "level" : "intermediate" }, { "name" : "Human-in-the-loop workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Accelerator, AI/ML Engineering, Technical Leadership, Programme Design", "majorSkillsList" : [ "AI Accelerator", "AI/ML Engineering", "Technical Leadership", "Programme Design" ], "coreResponsibilities" : "Design AI Accelerator programme, Operate AI Accelerator programme, Drive experimentation, Drive rapid prototyping, Drive capability development, Investigate emerging AI techniques, Identify high-value applications, Surface risks and opportunities, Own design of prototypes, Own build of prototypes, Write production-grade code, Conduct code reviews, Guide transition to scalable solution, Mentor participants, Energise AI Guild, Curate learning resources, Strengthen skills, Foster culture of experimentation, Partner with product teams, Partner with data teams, Partner with technology teams, Align initiatives with priorities, Align initiatives with standards, Track outcomes, Communicate outcomes, Communicate insights, Communicate recommendations, Inform roadmap decisions, Inform future investment", "teamCollaboration" : "Cross-functional collaboration; Multidisciplinary team; Partner with product teams; Partner with data teams; Partner with technology teams", "projectManagementSkills" : [ "Programme design", "Programme leadership", "Roadmap decisions" ], "domainKnowledge" : "Geospatial data; Location data; AI governance; Responsible AI; Secure software engineering", "domainList" : [ "geospatial-data", "location-data", "ai-governance", "responsible-ai", "secure-software-engineering" ], "domainSpecificKnowledge" : [ "Geospatial data", "Location data", "AI governance", "Responsible AI", "Secure software engineering" ], "communicationSkills" : "Communicating Impact; Communicate outcomes; Communicate insights; Communicate recommendations", "continuousLearning" : "Access to online learning platforms; Coaching and Mentoring schemes; Continuous learning", "innovationCreativity" : "Innovation; Rapid prototyping; Exploration & Innovation; Emerging AI techniques", "problemSolvingSkills" : "Problem Solving", "specialRequirements" : "Security Check (SC) clearance", "outcomesObjectives" : "Unlock enterprise-wide value from AI; Deliver high-impact prototypes; Evolve prototypes into scalable solutions; Reduce adoption friction; Build organisational confidence", "qualificationsBasic" : "Proven AI/ML engineering experience, Proven software development experience, Proven technical leadership experience, Ability to write production-grade code, Ability to define engineering best practices, Skilled in programme design, Skilled in stakeholder engagement, Skilled in evaluation of impact, Ability to mentor, inspire, and influence, Security Check (SC) clearance required", "qualificationsPreferred" : "Understanding of modern AI techniques, Familiarity with AI governance frameworks, Familiarity with regulatory compliance, Familiarity with secure software engineering practices, Commitment to continuous learning", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**AI Accelerator Lead****** **AI Accelerator Lead****** (full-time) - Salary £79,079.00 \\- £92,258.00 (dependent on experience) - Hybrid working Ordnance Survey (OS) is the national mapping agency for Great Britain, delivering world-class geospatial data and services that power innovation across government, business, and society. We’re on a mission to unlock the full potential of location data and now, we’re accelerating that vision through artificial intelligence. **The Opportunity** Lead the establishment of Ordnance Survey’s AI Accelerator – a strategic initiative designed to unlock enterprise-wide value from AI. This is a unique opportunity to combine technical leadership with programme-level influence, driving innovation through rapid prototyping, capability building, and cross-functional collaboration. You’ll work as part of a multidisciplinary team exploring advanced AI techniques such as geo foundation models, agentic systems, and LLM orchestration. Your goal: deliver high-impact prototypes that evolve into scalable, production-ready solutions, embedding AI in real-world contexts to reduce adoption friction and build organisational confidence in responsible AI use. **What You’ll Do** **Programme Leadership:** Design and operate the AI Accelerator as a structured, high-impact programme that drives experimentation, rapid prototyping, and capability development across OS. **Exploration & Innovation:** Investigate emerging AI techniques, identify high-value applications, and surface associated risks and opportunities for the business. **Technical Delivery:** Own the design and build of prototypes, write production-grade code, conduct code reviews, and guide the transition from concept to scalable solution. **Capability Building:** Mentor participants, energise the AI Guild, and curate learning resources to strengthen skills and foster a culture of responsible experimentation. **Stakeholder Engagement:** Partner with product, data, and technology teams to align initiatives with strategic priorities and ethical standards. **Communicating Impact :** Track and communicate outcomes, insights, and recommendations to senior stakeholders, informing roadmap decisions and future investment. **About You** * Proven experience in AI/ML engineering, software development, and technical leadership. * Strong understanding of modern AI techniques (LLMs, agentic systems, orchestration frameworks). * Ability to write production-grade code and define engineering best practices. * Skilled in programme design, stakeholder engagement, and the evaluation of impact. * Passion for responsible AI adoption, including human-in-the-loop workflows and ethical application. * Familiarity with AI governance frameworks, regulatory compliance, and secure software engineering practices. * Ability to mentor, inspire, and influence across diverse teams * Commitment to continuous learning and staying current with emerging AI technologies and industry best practices. **Why Join OS?** * Be at the forefront of AI innovation in geospatial technology. * Work on cutting-edge projects with real-world impact. * Enjoy a collaborative, inclusive culture with flexible working options. * Access to professional development, competitive benefits, and a supportive environment. **The Rewards** **We want you to love what you do. That is why our benefits package rewards a job well done.** * Salary – £79,079.00 \\- £92,258.00 (dependent on experience) * Performance related bonus up to 10% * A competitive pension scheme (OS contributes up to 12.07%) * 28 days annual leave in addition to bank holidays on joining, (3 taken over Christmas) increasing by one day per year, to a maximum of 5 years * Enhanced family leave, including up to 12 weeks paid partner (paternity) leave * Free subscription to OS Maps * Access to online learning platforms * Coaching and Mentoring schemes * Plus, a suite of excellent additional perks and benefits **At OS, we believe looking after your health and wellbeing means more than posters and events. We empower you to manage your work and life the way you need it by offering things like** * An extra days’ leave for each year you work, up to 33 days * Employee Assistance Programme * Hybrid working * Free onsite parking at our modern HQ in Southampton * We adopt flexible working and can consider different working hours dependent on the role and your personal circumstances * Eyecare Vouchers * OS Explorers Nursery discount * Cycle to Work scheme * We believe that as a company we should give back wherever we can, so we give you 1 day a year to volunteer for charities that are important to you, as well as offering a match funding scheme **Location** We embrace a hybrid working model at OS, because we believe in flexibility and balance. You’ll be based at our fantastic HQ in Southampton, Hampshire, where you'll spend 50% of your working week collaborating face-to-face with colleagues. It’s all about combining the best of both worlds connection and autonomy to help you thrive.. **Security** OS conducts pre-employment checks for anyone made an offer of employment, including identity, right to work, employment history and criminal record checks (via Disclosure & Barring Services (DBS). Some of our roles may require additional security vetting. We will advise candidates during the recruitment process if additional vetting may be required for that specific role. **This role requires Security Check (SC) clearance, which must be successfully obtained and in place before the successful candidate can take up the post.** Appointment to this role is therefore conditional upon meeting the required security clearance standards. **Closing date:** Sunday 21 June 2026 @23:59 Unfortunately, we are currently unable to offer sponsorship for this role, therefore you must have the right to work in the UK, without the need for employer sponsorship. We are happy to consider any reasonable adjustments that people may need during the recruitment process, and you will be asked whether you require any during the application process. Research indicates that women, individuals with disabilities, LGBTQ+ community members, neurodiverse individuals, and people from ethnic minority backgrounds often hesitate to apply for jobs unless they meet every single qualification. At Ordnance Survey, we are dedicated to fostering a diverse, inclusive, and genuine workplace where everyone can thrive. If you’re enthusiastic about this role but your experience doesn’t perfectly match every qualification in the job description, we encourage you to apply anyway. You might be the ideal candidate for this or other roles within Ordnance Survey. **Skills required for this role:** Agile Principles, AI Governance, AI Integration, AI Systems, Artificial Intelligence Ethics, Cloud Development, Collaboration, Communication, Innovation, Problem Solving, Product Development, Project Delivery, Python (Programming Language), Responsible AI, Secure Software Development Lifecycle, Solution Architecture, Stakeholder Engagement, Strategic Thinking, Team Leadership, User Research", "summaryDescription" : "AI Accelerator Lead at Os. Skills: AI Accelerator, AI/ML Engineering, Technical Leadership, Programme Design. Design AI Accelerator programme. 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Partner with analysts; Cross-functional collaboration", "domainKnowledge" : "Operations workflows; Fintech", "domainList" : [ "operations-workflows", "fintech" ], "domainSpecificKnowledge" : [ "Operations workflows", "Fintech" ], "toolProficiency" : [ "Claude", "Claude Code", "Codex", "Custom agent frameworks", "API integrations", "Workflow automation tools", "Zendesk", "Salesforce", "Analytics platforms", "Content management tool" ], "communicationSkills" : "Explain technical concepts; Adapt style", "documentationSkills" : "Document tools; Document playbooks", "innovationCreativity" : "Build custom tools; Build agents; Build automations; Build skills", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "outcomesObjectives" : "Transform workflows permanently; AI as default mode; Analysts start tasks with AI", "qualificationsBasic" : "3+ years professional experience, Analytical thinking, Problem-solving, Cross-functional collaboration, Hands-on AI tool building, Coaching or enabling others, Written communication skills, Verbal communication skills, Comfort working across multiple workstreams", "qualificationsPreferred" : "Experience in risk, Experience in fraud, Experience in compliance, Experience with change management, Experience with organizational transformation, Experience with large-scale enablement programs, Experience building internal tools, Experience scaling internal tools, Experience with consulting, Experience with solutions engineering, Experience with technical account management", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com’s Operations organisation is undergoing a fundamental transformation in how it works. We're building a team of Forward Deployed AI Accelerators embedded directly within Operations to make AI the default mode for all work - not an occasional tool, but the foundation of how every frontline operations analyst at Checkout.com http://Checkout.com works. Today, our frontline teams are already using AI to reduce multi-hour processes. The FDA team exists to take what's working and systematically scale it across the entire operations organisation. WHAT YOU'LL DO As a Forward Deployed AI Accelerator, you'll be embedded with a function of approximately 20-30 analysts organised by team or workflow. You'll build alongside them, and you will help them fundamentally change how they operate. Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool. RESPONSIBILITIES - Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs - Build custom tools, agents, automations, and skills tailored to each operations analyst's specific responsibilities - Coach and partner with each operations analyst through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency - Teach analysts to build and iterate on their own tools over time, creating independence - Recognise patterns across your cohort and systematically scale what works - a tool built for one operations analyst should become reusable for their peers - Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work - Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success - Track individual and cohort progress rigorously against a defined maturity model, moving every operations analyst toward self-sustaining, AI-first work - Prepare operations analysts for an agentic future - not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows WHO YOU ARE - We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work - not as a novelty, but as your default operating mode. - You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory - you've built things that changed how real work gets done. You can build in real time alongside the people you support. - You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person. - You understand how operations work. You either have direct experience in operations or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it. - You are a pattern recogniser. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions. - You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Checkout. - You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter. - You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment. MINIMUM REQUIREMENTS - 3+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration - Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot - building with it) - Track record of coaching, teaching, or enabling others - formally or informally - with evidence that people you've helped actually changed how they work - Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners - Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting up to 30 analysts at varying stages of their AI journey) PREFERRED QUALIFICATIONS - Experience in risk, fraud, compliance, or a closely adjacent function - Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Codex, custom agent frameworks, API integrations, workflow automation tools) - Experience with change management, organisational transformation, or large-scale enablement programs - Familiarity with the following technology stacks (e.g., Zendesk, Salesforce, analytics platforms, content management tool) - Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team - Background in consulting, solutions engineering, technical account management, or other client-facing technical roles Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/", "summaryDescription" : "Forward Deployed AI Accelerator, Operations at Checkout.com. Skills: AI transformation, Workflow automation, Agent development. Identify workflow transformations. Document workflow transformations", "postedDate" : "2026-06-11T22:46:26.180", "createdAt" : "2026-06-11T22:46:26.180", "lastUpdated" : "2026-06-14T23:17:41.344", "ingestTimestamp" : "2026-06-11T22:46:26.180", "mongoId" : "6a2ab17974d8ee00a06d06b3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI tool building", "Agent building", "Automation building", "Workflow design", "Prompt writing", "Agentic workflow design", "Adaptability", "Persistence", "Versatility", "AI transformation", "Workflow automation", "Agent development", "Workflow transformation", "Process understanding", "Pattern recognition", "Systems thinking", "Operations workflows", "Fintech", "Claude", "Claude Code", "Codex", "Custom agent frameworks", "API integrations", "Workflow automation tools", "Zendesk", "Salesforce", "Analytics platforms", "Content management tool" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "operational-excellence", "dataQualityScore" : 0.8888889, "_score" : 747.1802, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6a9bc74574cbbb34b5", "title" : "GTM Acceleration Lead, Applied AI Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 162700.0, "max" : 220200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:42:44.621", "fingerprint" : "055116d6a9152688a7bad8a30caf320ac93dd750f743c63daf1f27f4d32e51b1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3193864/apply", "externalId" : "fd9996c1-9144-438a-aaea-eadf2e8b5f43", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "GTM strategy", "Business applications", "Turn-key solutions", "Organizational capability", "Operational excellence", "Field enablement", "Content management", "Measurement frameworks", "Data models", "Reporting infrastructure", "Scalable analytics", "Self-service analytics", "Predictive modeling", "Trend analyses", "GTM intelligence", "Executive narratives", "Analytical standards", "Program relevance", "Resource utilization" ], "hardSkillsList" : [ "Data-driven decisions", "Quantitative data signals", "Qualitative data signals" ], "softSkillsList" : [ "Analytical", "Think Big", "Invent & Simplify" ], "hardSkills" : [ { "name" : "Data-driven decisions", "level" : "intermediate" }, { "name" : "Quantitative data signals", "level" : "intermediate" }, { "name" : "Qualitative data signals", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Think Big" }, { "name" : "Invent & Simplify" } ], "majorSkills" : "GTM acceleration, Applied AI Solutions, Field enablement, Data-driven decision making", "majorSkillsList" : [ "GTM acceleration", "Applied AI Solutions", "Field enablement", "Data-driven decision making" ], "coreResponsibilities" : "Lead development and execution of AAIS portfolio enablement, Align with GTM objectives, Align with service team priorities, Align with field scaling goals, Optimize AWS enablement tools for AAIS content management, Empower field teams to engage customers, Lead design and ownership of measurement frameworks, Define, track, and evaluate field enablement effectiveness, Establish analytical foundation, Connect enablement inputs to business outcomes, Build and operationalize scalable analytics solutions, Surface actionable insights across enablement program impact, Develop self-service analytics capabilities, Empower field teams, partners, and GTM leaders, Develop predictive models and trend analyses, Proactively identify enablement gaps, Forecast field readiness, Surface revenue acceleration opportunities, Translate complex analytical findings, Inform GTM strategy, Inform partner ecosystem development, Champion data-driven decision-making, Define and govern analytical standards, Ensure consistent, credible measurement, Create and manage structured feedback loops, Continuously improve enablement effectiveness, Continuously improve content quality, Continuously improve program relevance, Partner with cross-functional teams, Ensure aligned messaging, Ensure aligned measurement strategies, Ensure maximum resource utilization, Drive integration with AWS field scaling programs, Identify AAIS-specific enhancements", "teamCollaboration" : "Cross-functional teams; Field teams; Product development; GTM leadership; Marketing; Training; Service teams; WWFE; GTM leadership", "projectManagementSkills" : [ "Strategic initiatives" ], "domainKnowledge" : "Applied AI Solutions; Agentic business applications; AWS; Partner business dynamics; Field enablement; GTM strategy", "domainList" : [ "applied-ai-solutions", "agentic-business-applications", "aws", "partner-business-dynamics", "field-enablement", "gtm-strategy" ], "domainSpecificKnowledge" : [ "Applied AI Solutions", "Agentic business applications", "AWS", "Partner business dynamics", "Field enablement", "GTM strategy" ], "toolProficiency" : [ "Alchemy" ], "communicationSkills" : "Executive-ready narratives", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Accelerate Applied AI Solutions GTM strategy and growth; Transform organizational capability; Enhance performance with speed; Achieve strategic goals; Achieve vision as single organization; Pipeline generation; Win rates; Revenue acceleration; Partner performance", "qualificationsBasic" : "Understanding of internal AWS and external Partner business dynamics, AWS field enablement and planning processes, Ability to make important data-driven decisions, Bias for action to implement strategies, Comfortable taking risks, Ability to ask the right questions", "qualificationsPreferred" : "Experience interpreting data, Making business recommendations, MBA, Experience with technology transformation initiatives, Experience with sales enablement platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon’s real-world experience, to build opinionated, turn-key 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. We are seeking an experienced and strategic-minded Senior Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization. This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed. You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position. Key job responsibilities 1. Field Enablement Strategy & Execution Lead the development and execution of a comprehensive AAIS portfolio enablement strategy, ensuring alignment with GTM objectives, service team priorities, and field scaling goals across AWS's global sales organization. 2. Enablement Tooling & Content Infrastructure Own and optimize AWS enablement tools (including Alchemy) for AAIS content management, ensuring high-quality, accessible, and AI-augmented resources that empower field teams to engage customers with speed and confidence. 3. Enablement Measurement Architecture & Analytics Strategy Lead the design and ownership of comprehensive measurement frameworks that define, track, and evaluate field enablement effectiveness across the full AAIS portfolio — establishing the analytical foundation, including KPIs, data models, and reporting infrastructure, that connects enablement inputs (training completions, content consumption, tool adoption) to business outcomes (pipeline generation, win rates, revenue acceleration, and partner performance). 4. Scalable Analytics & Self-Service Intelligence Build and operationalize scalable analytics solutions that surface actionable insights across enablement program impact, training effectiveness, and resource utilization across the AWS Partner Network. Develop self-service analytics capabilities — including dashboards and automated reporting — that empower field teams, partners, and GTM leaders to make data-driven decisions independently and at scale. 5. Predictive Modeling & GTM Intelligence Develop predictive models and trend analyses that proactively identify enablement gaps, forecast field readiness, and surface revenue acceleration opportunities. Translate complex analytical findings into executive-ready narratives that drive strategic decisions for L8–L10+ stakeholders and inform GTM strategy and partner ecosystem development. 6. Data-Driven Culture & Thought Leadership Champion a culture of data-driven decision-making through thought leadership, strategic guidance, and the democratization of analytics. Define and govern the analytical standards and methodologies that ensure consistent, credible measurement across all enablement programs and regions. 7. Field Feedback Loops & Continuous Improvement Create and manage structured feedback loops between field teams, product development, and GTM leadership — using quantitative and qualitative data signals — to continuously improve enablement effectiveness, content quality, and program relevance across the AAIS portfolio. 8. Cross-Functional Alignment & AWS Field Scaling Integration Partner with cross-functional teams — including Marketing, Training, Service teams, WWFE, and GTM leadership — to ensure aligned messaging, measurement strategies, and maximum resource utilization across all enablement initiatives, while driving integration with existing AWS field scaling programs and identifying AAIS-specific enhancements. About the team Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications: - 5+ years of developing, negotiating and executing business agreements experience - Bachelor's degree - Experience developing strategies that influence leadership decisions at the organizational level - Experience managing programs across cross functional teams, building processes and coordinating release schedules - 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience Preferred Qualifications: - Experience interpreting data and making business recommendations - MBA - Experience with technology transformation initiatives - Experience with sales enablement 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. 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, Mountain View - 162,700.00 - 220,200.00 USD annually USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually USA, NY, New York - 162,700.00 - 220,200.00 USD annually USA, VA, Herndon - 147,900.00 - 200,100.00 USD annually USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually", "summaryDescription" : "GTM Acceleration Lead, Applied AI Solutions at Amazon Web Services, Inc.. Skills: GTM acceleration, Applied AI Solutions, Field enablement, Data-driven decision making. Lead development and execution of AAIS portfolio enablement. Align with GTM objectives", "postedDate" : "2026-06-13T00:54:23.328", "createdAt" : "2026-06-13T00:54:23.328", "lastUpdated" : "2026-06-15T00:42:44.621", "ingestTimestamp" : "2026-06-13T00:54:23.328", "mongoId" : "69c94a6a9bc74574cbbb34b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193864/apply", "salaryAnnualMin" : 162700, "salaryAnnualMax" : 220200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data-driven decisions", "Quantitative data signals", "Qualitative data signals", "Analytical", "Think Big", "Invent & Simplify", "GTM acceleration", "Applied AI Solutions", "Field enablement", "Data-driven decision making", "GTM strategy", "Business applications", "Turn-key solutions", "Organizational capability", "Operational excellence", "Content management", "Measurement frameworks", "Data models", "Reporting infrastructure", "Scalable analytics", "Self-service analytics", "Predictive modeling", "Trend analyses", "GTM intelligence", "Executive narratives", "Analytical standards", "Program relevance", "Resource utilization", "Strategic initiatives", "Agentic business applications", "AWS", "Partner business dynamics", "Alchemy" ], "skillCount" : 33, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 745.7697, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7eca74d8ee00a0953a47", "title" : "Senior Mobile Developer", "company" : "BIMM", "industry" : "Technology", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "timestamp" : "2026-06-15T07:21:18.165", "fingerprint" : "96e522a492993909b1bf3c02456c4d6947aa229189e632018859697b23abca5b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bimm.com/job-postings?gh_jid=5158048007", "externalId" : "5158048007", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Swift, SwiftUI, Kotlin, Jetpack Compose, Kotlin Multiplatform, IOS SDK, RESTful APIs", "professionalSkills" : [ "Agentic systems", "Autonomous agents", "Prompt engineering", "Engineering standards", "AI tool adoption" ], "hardSkillsList" : [ "Mobile development", "Agentic code generation", "Automated evaluation pipelines", "LLM-as-judge scoring", "Regression test suites", "Golden dataset validation", "Input/output contracts", "Typed contracts", "Prompt templates", "Parametric input injection", "System/user role separation", "MCP tooling", "MCP-compatible integrations", "Unit testing", "Automation frameworks", "Offline storage", "Threading", "Performance tuning", "CI/CD practices", "Version control" ], "hardSkills" : [ { "name" : "Mobile development", "level" : "intermediate" }, { "name" : "Agentic code generation", "level" : "intermediate" }, { "name" : "Automated evaluation pipelines", "level" : "intermediate" }, { "name" : "LLM-as-judge scoring", "level" : "intermediate" }, { "name" : "Regression test suites", "level" : "intermediate" }, { "name" : "Golden dataset validation", "level" : "intermediate" }, { "name" : "Input/output contracts", "level" : "intermediate" }, { "name" : "Typed contracts", "level" : "intermediate" }, { "name" : "Prompt templates", "level" : "intermediate" }, { "name" : "Parametric input injection", "level" : "intermediate" }, { "name" : "System/user role separation", "level" : "intermediate" }, { "name" : "MCP tooling", "level" : "intermediate" }, { "name" : "MCP-compatible integrations", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Automation frameworks", "level" : "intermediate" }, { "name" : "Offline storage", "level" : "intermediate" }, { "name" : "Threading", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "CI/CD practices", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" } ], "majorSkills" : "Mobile development, Agentic AI, Swift/SwiftUI, Kotlin", "majorSkillsList" : [ "Mobile development", "Agentic AI", "Swift/SwiftUI", "Kotlin" ], "coreResponsibilities" : "Build engineering environment, Communicate with stakeholders, Ensure code is production grade, Respect design guidelines, Ensure performance across devices, Work with Product teams, Work with Design teams, Work with QA teams, Work with back-end teams, Stay current with mobile capabilities, Contribute to Agentic practice, Develop agentic systems, Generate production-grade code, Build evaluation pipelines, Define input/output contracts, Ensure tools handle edge cases, Surface structured errors, Own prompt engineering lifecycle, Implement MCP tooling", "teamCollaboration" : "Collaborative environment; Cross-functional teams; Client collaboration", "projectManagementSkills" : [ "Agile environment" ], "domainKnowledge" : "Agentic AI systems; Native mobile applications; Mobile design patterns; Cloud-native architecture; Distributed systems; LLM-as-judge scoring; Prompt engineering lifecycle; MCP tooling; Agentic workflows; Tool chains; State machine agents; Orchestration frameworks", "domainList" : [ "agentic-ai-systems", "native-mobile-applications", "mobile-design-patterns", "cloud-native-architecture", "distributed-systems", "llm-as-judge-scoring", "prompt-engineering-lifecycle", "mcp-tooling", "agentic-workflows", "tool-chains", "state-machine-agents", "orchestration-frameworks" ], "domainSpecificKnowledge" : [ "Agentic AI systems", "Native mobile applications", "Mobile design patterns", "Cloud-native architecture", "Distributed systems", "LLM-as-judge scoring", "Prompt engineering lifecycle", "MCP tooling", "Agentic workflows", "Tool chains", "State machine agents", "Orchestration frameworks" ], "toolProficiency" : [ "GitHub Actions", "GitHub Copilot", "LangSmith", "OpenTelemetry" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Explore agentic systems", "innovationCreativity" : "Innovative mindset", "problemSolvingSkills" : "Solution of complex problems", "specialRequirements" : "Work on EST hours, Join office 2 days/week", "outcomesObjectives" : "Shape development of digital platform; Grow into leading agentic practice", "qualificationsBasic" : "5+ years mobile engineering experience, IOS development using Swift, SwiftUI experience, Android/Kotlin working knowledge, AI coding agents experience, Mobile design patterns knowledge, IOS provisioning knowledge, App lifecycle knowledge, Release workflows knowledge, Offline storage experience, Threading experience, Performance tuning experience, CI/CD practices experience, Git-based version control understanding, GitHub workflow understanding", "qualificationsPreferred" : "Experience with accessibility standards, WCAG 2.2 experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "BIMM is booming, so we’re looking for an iOS-first Senior Mobile Developer with hands-on Swift/SwiftUI experience working knowledge of Android/Kotlin, and a strong interest in agentic AI systems that generate and support production-grade native mobile applications. Local candidates (GTHA) will be asked to join us at BIMM HQ (Distillery District) 2 days per week. We are open to remote candidates across Canada - you will be required to work on EST hours. Who we are BIMM is a Toronto-based agency that lives at the intersection of data, technology, and creativity to provide clients with high-performing campaigns and digital products that shape connected customer experiences. We’ve helped our clients implement fully integrated CRM customer journeys, built robust digital experiences, and created national loyalty programs with decades of experience in sectors of automotive, financial, telco and retail. We are creative realists, which means our ideas and solutions are grounded in the realities of our clients’ business. We believe big ideas are nothing without big results (and flawless execution); high-performing agencies deliver high-performing campaigns, products, and experiences; and the best solutions happen when we collaborate with clients as partners. This is an existing vacancy, not a made-up role — this one’s already got a desk waiting. Who we’re looking for You have leveraged modern mobile tools and frameworks (Swift/SwiftUI, Kotlin, Jetpack Compose, and Kotlin Multiplatform) to architect and deliver iOS and Android applications from the ground up. You are a team player who can fly solo when needed. Although you have the full support of your teammates, you are able to lead the research and solution of complex problems. At the same time, you know when to ask for help and don’t let pride or ego get in the way, because after all, you are part of a team. This role will directly support our client Audi and have the opportunity to shape the development of their digital platform. Ultimately you will grow into leading agentic practice for mobile development. You’ve learned about agentic systems and autonomous agents, maybe ran some in production or experimented with them a bit, and are excited to keep exploring how they can support the development of production-grade native mobile applications. “Initiative” is your middle name and you don’t give us a chance to chase you. We are on the hunt for people who have an innovative mindset (you still dream of that moonshot project but are currently working on your side-gig)! Is this you? Responsibilities Core Engineering Build a healthy, collaborative, and inclusive engineering environment. Communicate clearly with technical and non-technical stakeholders. Ensure manual and agentic generated code is production grade, respects design guidelines and is performant across devices and all supported screen sizes Work closely with Product, Design, QA, and back-end teams. Stay current with new mobile capabilities and use them when they add value. AI Engineering Contribute to growing the Agentic practice for Mobile streams. Develop agentic systems that reliably generate production-grade code using Swift, SwiftUI, Kotlin, and related platform tools. Build and maintain automated evaluation pipelines (evals) for agent and skill outputs including LLM-as-judge scoring, regression test suites, and golden dataset validation so that prompt and model changes are measurable before they ship. Define strict input/output contracts for MCP tools and agent skills using typed schemas; ensure tools handle edge cases, surface structured errors, and never return ambiguous output that an LLM must interpret. Own the prompt engineering lifecycle for assigned tools and skills version-controlled prompt templates, parametric input injection, and structured system/user role separation ensuring prompts are testable, reproducible, and free of implicit context drift. Contribute to the team's MCP tooling catalog implement, test, and document MCP-compatible integrations Requirements 5+ years of mobile engineering experience, including lead ownership and responsibilities in an agile environment. Experience with iOS development using Swift, iOS SDK, SwiftUI. Experience with AI coding agents such as GitHub Copilot. Understanding mobile design patterns such as MVVM, MVP, MVI, MVC, or VIPER. Knowledge of iOS provisioning, app lifecycle, and release workflows. Awareness of unit testing and automation frameworks such as XCTest, XCUITest, Mokkery, Espresso, or Robolectric. Experience with accessibility standards, ideally WCAG 2.2 (desirable). Experience with offline storage, threading, and performance tuning. Experience with CI and CD practices for mobile applications, including GitHub Actions. Strong understanding of Git-based version control and GitHub workflows. Solid knowledge of cloud messaging and push notifications. Ability to translate business requirements into clear technical plans. Strong teamwork, communication, and mentoring skills. Nice to have Experience designing and building agentic workflows - systems that plan, decompose tasks, execute, self-validate, and iterate on failures Experience with Kotlin and Android fundamentals. Familiarity with Jetpack Compose. Hands-on experience with prompt engineering: structured prompts, few-shot examples, schema enforcement, and output format constraints Experience with RAG (Retrieval-Augmented Generation), function calling, and deterministic routing within LLM-powered systems Hands-on experience with LLM structured output patterns: function/tool calling Familiarity with LLM evaluation approaches: building golden test sets, LLM-as-judge pipelines, and prompt regression testing; ability to quantify output quality with measurable metrics rather than vibes. Experience building or consuming agentic workflows multi-step tool chains, state machine-based agents, or orchestration frameworks (LangGraph, LangChain, AutoGen, or custom) with an emphasis on deterministic routing and graceful failure handling Demonstrated experience defining and rolling out engineering standards at a team or org level (coding conventions, PR workflows, testing mandates, API contracts) Track record of driving AI tool adoption within an engineering team — not just using the tools but creating the onboarding, guidance, and culture around them Experience with prompt caching, semantic routing, or output memoization strategies to reduce non-determinism at scale. Ability to instrument LLM calls with structured traces (input, output, latency, token count, tool calls invoked) using frameworks like LangSmith, OpenTelemetry, or custom logging; can define SLOs for agent task success rates Experience with Kotlin Multiplatform. Familiarity with RESTful APIs to connect to applications to back-end services. Even if you don’t meet all of the above requirements, we still encourage you to apply! What’s in it for you? Work Life Balance with BIMM days: Spend your birthday any way you’d like, as long as it’s not at the office. Extra day off to enjoy every summer holiday and a week-long end-of-year break. Boo-yah! Benefits: We offer a comprehensive health They also organize engaging awareness activities and events to showcase BIMMER’s professional talents and personalities. What talents might you bring? :) Growth: BIMM is part of kyu collective which gives our employees access to the network’s resources, training, offices, and more. We also prioritize your personal and professional development with opportunities like on-site Lunch n’ Learns, conferences and online courses. Love 2 Learn. BIMM is committed to providing an environment that is inclusive and accessible. We are an equal opportunity employer and consider all applicants for employment without discrimination. Please let us know if accommodation for the recruitment/interview process is required and we will work with you to make sure your needs are met AI In Recruitment While we are exploring ways to best utilize AI in our hiring processes, BIMM currently does not use AI-enabled tools in our hiring process. All candidates are screened by humans, and approved by humans. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Total compensation range: $120,000—$145,000 CAD", "summaryDescription" : "Senior Mobile Developer at BIMM. Skills: Mobile development, Agentic AI, Swift/SwiftUI, Kotlin. Build engineering environment. Communicate with stakeholders", "postedDate" : "2026-06-13T22:04:00.786", "createdAt" : "2026-06-13T22:04:00.786", "lastUpdated" : "2026-06-15T07:21:18.165", "ingestTimestamp" : "2026-06-13T22:04:00.786", "mongoId" : "6a2c7eca74d8ee00a0953a47", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Mobile development", "Agentic code generation", "Automated evaluation pipelines", "LLM-as-judge scoring", "Regression test suites", "Golden dataset validation", "Input/output contracts", "Typed contracts", "Prompt templates", "Parametric input injection", "System/user role separation", "MCP tooling", "MCP-compatible integrations", "Unit testing", "Automation frameworks", "Offline storage", "Threading", "Performance tuning", "CI/CD practices", "Version control", "Agentic AI", "Swift/SwiftUI", "Kotlin", "Agentic systems", "Autonomous agents", "Prompt engineering", "Engineering standards", "AI tool adoption", "Agile 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[ "Ireland" ], "timestamp" : "2026-06-15T21:53:24.197", "fingerprint" : "da3610135c8ea00f381c0f517e3b1128a0eb6933e54ea5fc7b643c3a6b172191", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0744cf1e-a728-467c-a07d-e0bbfc544e00/apply", "externalId" : "0744cf1e-a728-467c-a07d-e0bbfc544e00", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Backend systems, Data models, CRUD applications, APIs, Webhooks, AI agent actions, Conversational AI, Agentic AI, Multi-turn dialogue, State handling, Tool use orchestration, LLM orchestration, RAG pipelines, Workflow decomposition, Distributed systems, AI agents, Prompts, External dependencies, Automated tests, Unit tests, Integration tests, End-to-end tests", "professionalSkills" : [ "System design", "Technical designs", "Implementation plans", "Execution roadmaps", "Client implementations", "Technical trade-offs", "Timeline management" ], "hardSkillsList" : [ "Production-grade systems", "Prompt engineering", "Function calling", "Retrieval-augmented generation", "Voice systems", "Real-time systems", "Latency handling", "Streaming", "Failure recovery", "Integration patterns", "System design", "Clean architecture" ], "hardSkills" : [ { "name" : "Production-grade systems", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" }, { "name" : "Voice systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Latency handling", "level" : "intermediate" }, { "name" : "Streaming", "level" : "intermediate" }, { "name" : "Failure recovery", "level" : "intermediate" }, { "name" : "Integration patterns", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Clean architecture", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Agentic AI, Conversational AI, LLM Orchestration", "majorSkillsList" : [ "AI Engineering", "Agentic AI", "Conversational AI", "LLM Orchestration" ], "coreResponsibilities" : "Design backend systems, Build backend systems, Maintain backend systems, Design data models, Build data models, Maintain data models, Design CRUD applications, Build CRUD applications, Maintain CRUD applications, Develop external APIs, Integrate external APIs, Develop webhooks, Integrate webhooks, Develop third-party systems, Integrate third-party systems, Build conversational AI systems, Build agentic AI systems, Own technical delivery, Translate customer requirements, Translate statements of work, Make architectural decisions, Debug production issues, Ensure system reliability, Define engineering best practices, Enforce engineering best practices, Write automated tests, Maintain automated tests", "teamCollaboration" : "Delivery stakeholders; Product stakeholders", "projectManagementSkills" : [ "Roadmaps", "Timelines" ], "domainKnowledge" : "AI-driven workflows; AI agent actions; Conversational AI; Agentic AI systems; LLM orchestration; RAG pipelines; Workflow decomposition; Distributed systems; AI agents; Real-time systems", "domainList" : [ "ai-driven-workflows", "ai-agent-actions", "conversational-ai", "agentic-ai-systems", "llm-orchestration", "rag-pipelines", "workflow-decomposition", "distributed-systems", "ai-agents", "real-time-systems" ], "domainSpecificKnowledge" : [ "AI-driven workflows", "AI agent actions", "Conversational AI", "Agentic AI systems", "LLM orchestration", "RAG pipelines", "Workflow decomposition", "Distributed systems", "AI agents", "Real-time systems" ], "communicationSkills" : "Explain technical trade-offs", "problemSolvingSkills" : "Debugging complex issues; Diagnose complex issues", "specialRequirements" : "High ownership, Minimal structure", "qualificationsBasic" : "4+ years software engineering, 4+ years systems engineering, 4+ years automation-focused roles, Hands-on building agentic architectures, Hands-on building conversational AI, Hands-on building workflow automation, Experience LLM orchestration, Experience prompt engineering, Experience function calling, Experience retrieval-augmented generation, Experience building voice systems, Experience building real-time systems, Familiarity integration patterns APIs, Familiarity integration patterns webhooks, Familiarity integration patterns external services, Debugging skills distributed systems, Debugging skills AI pipelines, Solid engineering fundamentals, Ability own delivery outcomes, Communication skills English", "qualificationsPreferred" : "Experience handling latency, Experience handling streaming, Experience handling failure recovery, Experience with external services in production", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and maintain production-grade backend systems, including services, data models, and CRUD applications supporting AI-driven workflows. Develop and integrate external APIs, webhooks, and third-party systems to enable secure and reliable AI agent actions. Build and deploy conversational and agentic AI systems, including multi-turn dialogue management, state handling, and tool use orchestration. Own end-to-end technical delivery for client implementations, from system architecture and planning through to production deployment. Translate customer requirements and statements of work into clear technical designs, implementation plans, and execution roadmaps. Make architectural decisions across system design, LLM orchestration, RAG pipelines, integrations, and workflow decomposition. Debug complex production issues across distributed systems, AI agents, prompts, and external dependencies while ensuring system reliability. Define and enforce engineering best practices, including testing strategies, error handling, observability, and maintainability standards. Collaborate closely with delivery and product stakeholders to manage scope, timelines, and technical trade-offs. Write and maintain automated tests (unit, integration, and end-to-end) to ensure system stability and production readiness. Requirements: 4+ years of experience in software engineering, systems engineering, or automation-focused roles delivering production-grade systems. Strong hands-on experience building agentic architectures, conversational AI systems, or workflow automation platforms. Proven experience working with LLM orchestration, prompt engineering, function calling, and retrieval-augmented generation (RAG). Experience building and deploying voice or real-time systems, including handling latency, streaming, and failure recovery scenarios. Familiarity with integration patterns involving APIs, webhooks, and external services in production environments. Strong debugging skills with the ability to diagnose complex issues across distributed systems and AI pipelines. Solid engineering fundamentals, including testing, error handling, system design, and clean architecture principles. Ability to own delivery outcomes end-to-end, balancing technical execution with client success and timeline management. Strong communication skills in English, with the ability to explain technical trade-offs clearly to both technical and non-technical stakeholders. Comfortable working in fast-paced, ambiguous environments with high ownership and minimal structure. Benefits: Competitive hourly compensation ranging from $35–50/hour depending on experience. Fully remote role with flexibility to work from anywhere globally. Opportunity to work on cutting-edge AI agent and conversational system deployments in real-world production environments. High-impact engineering role with strong ownership over client delivery and technical architecture decisions. Exposure to advanced AI workflows, LLM systems, and agentic infrastructure at scale. Startup-like environment with fast iteration cycles and high technical autonomy. Opportunity to shape engineering best practices and influence production-grade AI system design. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior AI Engineer (Clients) at Supernal. Skills: AI Engineering, Agentic AI, Conversational AI, LLM Orchestration. Design backend systems. 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Grow as financial professional", "createdAt" : "2026-06-14T05:33:10.474", "lastUpdated" : "2026-06-15T09:10:38.339", "ingestTimestamp" : "2026-06-14T05:33:10.474", "mongoId" : "6a2d165874d8ee00a0ae9b0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Business development", "Marketing" ], "skillCount" : 2, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 723.3661, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c702474d8ee00a0928850", "title" : "AI to accelerate realisation of the intelligent enterprise - internship", "company" : "PA Consulting", "industry" : "Management Consulting", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Utrecht, Netherlands, adjusted for the consulting industry." }, "location" : "Utrecht, Netherlands", "locations" : [ "Utrecht", "Netherlands" ], "timestamp" : "2026-06-15T11:48:37.018", "fingerprint" : "e1ec4ce169c8a1991ebed4057e0d44c0f8d0c3fc0a3feb872bf011dac89835ad", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PAConsulting/744000131821589-ai-to-accelerate-realisation-of-the-intelligent-enterprise-internship", "externalId" : "744000131821589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "AI, Data architecture, Digital solutions, AI solutions", "professionalSkills" : [ "Operating model design", "Digital transformation" ], "softSkillsList" : [ "Analytical", "Flexible thinking", "Relationship builder" ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Flexible thinking" }, { "name" : "Relationship builder" } ], "majorSkills" : "AI, Digital transformation", "majorSkillsList" : [ "AI", "Digital transformation" ], "coreResponsibilities" : "Identify areas for AI use, Select AI solutions, Test AI solutions, Generate required outcome", "teamCollaboration" : "Dutch consumer and manufacturing team; Client and peers", "domainKnowledge" : "Intelligent enterprise; Autonomous manufacturing; Application landscape; Data architecture", "domainList" : [ "intelligent-enterprise", "autonomous-manufacturing", "application-landscape", "data-architecture" ], "domainSpecificKnowledge" : [ "Intelligent enterprise", "Autonomous manufacturing", "Application landscape", "Data architecture" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Broaden understanding of the world", "innovationCreativity" : "Innovative thinking; Breakthrough use of technologies", "problemSolvingSkills" : "Deliver practical results", "qualificationsBasic" : "Master's degree, Excellent grades, Relevant extracurricular activities, Proficient in English, Proficient in Dutch, Right to live and work in the Netherlands", "qualificationsPreferred" : "Good understanding of AI tooling", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Netherlands and Nordics. PA. Bringing Ingenuity to Life. Power Your Curiosity at PA As an intern, you’ll embark on an exciting journey at PA, whether you’re building on a specialised background or exploring a new field. We encourage you to be bold, embrace curiosity, and seize the valuable opportunities available to you. Join innovative projects and contribute to our mission, all while gaining hands-on experience in the dynamic world of consulting. Our Interns Make a Difference Within our Dutch consumer and manufacturing team we are looking for an intern who is eager to explore how we can use AI to accelerate the digital transformation of our global customers. In the highly dynamic environment we operate in, we want to stay ahead of the curve and support our clients with the latest technologies to enhance their transformation programs. The future of manufacturing is autonomous which does put an increasing demand on the digital transformation at our clients. We support these transformations by guiding our clients establishing a future proof application landscape, a solid data architecture, and strengthen the operations with digital and AI solutions. To be able to cope with the increasing speed of transformation we need as consultancy to transform the way we deliver our services as well. We need to use AI to accelerate the way we work and provide our clients with faster and better services. This includes AI to shape the future operating model of our clients, AI to gather requirements towards enabling IT, and AI to detail the demand towards system integrators to enable them to deliver faster. We seek an intern who can support us in identification of the areas in which we can make better use of AI, select the related AI solutions to use, and test these solutions to generate the required outcome for our projects. This work will introduce you in the core of our consultancy programs and will position you uniquely towards the use of AI to strengthen the consultancy business. A career at PA is what you make of it — so power your curiosity and prepare to make an impact! About You We’re looking for students who are: * Analytically strong and able to deliver practical results * Interested in the consumer and manufacturing sector, operating model design, and digital transformation * Having a good understanding of AI tooling * Flexible in their thinking and way of working * Curious and want to broaden their understanding of the world * Excellent communicators, both written and verbally * Relationship builder with both client and peers ## Qualifications * Pursuing a master’s degree, with excellent grades and relevant extracurricular activities * Proficient in English language and Dutch * Right to live and work in the Netherlands The Offer * A full-time immersive internship experience for 4 to 6 months, with supervision from our industry experts. * Preferred start date: September 1st 2026 * The opportunity to collaborate with our team on meaningful projects * A brand-new office in central Utrecht, with opportunities for flexible / hybrid working * Mentoring and support by our Early Careers team and a dedicated supervisor(s) * A competitive internship allowance Application will close on June 30th 2026. ## Additional Information Life at PA encompasses our people's experience at PA. It's about how we enrich people's working lives by introducing them to unique individuals and growth opportunities and purpose-led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, we embrace that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. Find out more about Life at PA [here](https://www.paconsulting.com/culture). We are dedicated to supporting the physical, emotional, social and financial well-being of our people. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments to the recruitment process, at either application or interview, please contact us on [Sanna.Austrell@paconsulting.com](mailto:Sanna.Austrell@paconsulting.com) #LI-SA", "summaryDescription" : "AI to accelerate realisation of the intelligent enterprise - internship at PA Consulting. 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Select AI solutions", "postedDate" : "2026-06-12T06:26:22.000", "createdAt" : "2026-06-13T21:30:50.856", "lastUpdated" : "2026-06-15T11:48:37.018", "ingestTimestamp" : "2026-06-13T21:30:50.856", "mongoId" : "6a2c702474d8ee00a0928850", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Analytical", "Flexible thinking", "Relationship builder", "AI", "Digital transformation", "Operating model design", "Intelligent enterprise", "Autonomous manufacturing", "Application landscape", "Data architecture" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 718.62396, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a5d1074d8ee00a06179cd", "title" : "Engineering Manager, AI Conversation Platform", "company" : "Stripe", "industry" : "Financial Services", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Manager in FinTech in the US, adjusted for manager seniority and company size." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-14T21:31:55.814", "fingerprint" : "dcd661c63a68ed5f08b1f0319dbabc8318870d1d03cb8920465c49714ca8c847", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stripe.com/jobs/search?gh_jid=7943804", "externalId" : "7943804", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team What you’ll do Responsibilities Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements Preferred qualifications", "summaryDescription" : "Engineering Manager, AI Conversation Platform at Stripe", "postedDate" : "2026-06-11T20:11:41.091", "createdAt" : "2026-06-11T20:11:41.091", "lastUpdated" : "2026-06-14T21:31:55.814", "ingestTimestamp" : "2026-06-11T20:11:41.091", "mongoId" : "6a2a5d1074d8ee00a06179cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "4145-support-products---eng", "dataQualityScore" : 0.7777778, "_score" : 716.1544, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services" }, { "id" : "68c2e43bf8b1b0376634c918", "title" : "WW AI Acceleration Architect, APO Partner Core", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 118200.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "AWS Solutions Architect Professional", "AWS Machine Learning Specialty" ], "timestamp" : "2026-06-15T04:04:20.091", "fingerprint" : "759cf81f50dba478705a5668b60e22eb8ad82ba65983edbaaa6272b746745a85", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071495/apply", "externalId" : "74ce53ee-ff26-4b19-b054-c53c18dbf4a4", "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", "technicalSkills" : "AI, GenAI, AWS, Bedrock, SageMaker, LLMs", "professionalSkills" : [ "Go-to-market strategy", "Partner development", "Solution architecture", "Workflow automation" ], "hardSkillsList" : [ "Prompt engineering" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" } ], "majorSkills" : "AI Acceleration, Partner Solutions Architecture, GenAI Applications", "majorSkillsList" : [ "AI Acceleration", "Partner Solutions Architecture", "GenAI Applications" ], "coreResponsibilities" : "Build AI solution tech assets, Guide partner implementation, Drive business impact, Drive productivity gain, Build externalize AI agents, Automate complex workflows", "teamCollaboration" : "AWS Partner Org engineering; Business stakeholders", "domainKnowledge" : "AI readiness; Partner AI transformation", "domainList" : [ "ai-readiness", "partner-ai-transformation" ], "domainSpecificKnowledge" : [ "AI readiness", "Partner AI transformation" ], "innovationCreativity" : "Build AI tools/agents; Develop innovative solutions", "outcomesObjectives" : "Accelerate partner AI readiness; Transform partner AI capabilities", "qualificationsBasic" : "2+ years applications/infrastructures experience, 4+ years specific technology domain experience", "qualificationsPreferred" : "Passion for AI and technology, Experience building AI/GenAI applications, Hands-on AWS AI/ML services experience, Familiarity with LLMs and prompt engineering, AWS certifications, Customer facing skills, Communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Our AI acceleration Partner Solutions Architects focus on automating large scale workflows with AI and accelerating partner AI readiness and transformation. In this role, you'll build AI tools/agents and solutions that drive both internal AWS productivity and external partner success. This position directly supports AWS' strategic vision to lead AI/GenAI development alongside our customers and partners. The role offers visibility across APO organization and the opportunity to shape the future of partner AI transformation. Key job responsibilities 1 - Build AI solution and tech assets for common use cases and guide partners implementation to drive business impact and productivity gain 2- Work with AWS Partner Org engineering and other business stakeholders to build and externalize AI agents for complex workflow automation including key partner programs - Specialization, managed service provider, and more. About the team Our team are hands-on builders with a mission of leveraging AI to change how we work. Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications: - 2+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience Preferred Qualifications: - Passion for AI and technology - Experience in building real-world AI/GenAI applications for customers or partners - Hands-on experience with AWS AI/ML services (Bedrock, SageMaker, etc.) - Familiarity with large language models (LLMs) and prompt engineering - AWS certifications (Solutions Architect Professional, Machine Learning Specialty) - Strong customer facing and communication skills 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 $118,200/year in our lowest geographic market up to $204,300/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" : "WW AI Acceleration Architect, APO Partner Core at Amazon Web Services, Inc.. Skills: AI Acceleration, Partner Solutions Architecture, GenAI Applications. Build AI solution tech assets. Guide partner implementation", "postedDate" : "2026-06-13T11:12:50.205", "createdAt" : "2026-06-13T11:12:50.205", "lastUpdated" : "2026-06-15T04:04:20.091", "ingestTimestamp" : "2026-06-13T11:12:50.205", "mongoId" : "68c2e43bf8b1b0376634c918", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071495/apply", "salaryAnnualMin" : 118200, "salaryAnnualMax" : 204300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "AI Acceleration", "Partner Solutions Architecture", "GenAI Applications", "Go-to-market strategy", "Partner development", "Solution architecture", "Workflow automation", "AI readiness", "Partner AI transformation", "AWS Solutions Architect Professional", "AWS Machine Learning Specialty" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 701.8061, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68e0a7e1ce260f92cbf8e92f", "title" : "Software Dev Engineer-Mobile, Amazon QuickSight", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:57:03.421", "fingerprint" : "210f7428e0005ed4dccd0d5446dda52fa4f50f18db192f0a4144655f8d60d75f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101184/apply", "externalId" : "faef3841-ce73-48dd-99e7-8f6842ce3b9e", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, C#, Object-oriented design", "professionalSkills" : [ "Technical leadership", "System design", "Product ownership", "Technical excellence" ], "hardSkillsList" : [ "Mobile application development", "Scalable architecture design", "AI-driven experiences" ], "softSkillsList" : [ "Leadership", "Mentoring", "Creative thinking" ], "hardSkills" : [ { "name" : "Mobile application development", "level" : "intermediate" }, { "name" : "Scalable architecture design", "level" : "intermediate" }, { "name" : "AI-driven experiences", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Creative thinking" } ], "majorSkills" : "Mobile development, Agentic AI, Analytics", "majorSkillsList" : [ "Mobile development", "Agentic AI", "Analytics" ], "coreResponsibilities" : "Provide technical leadership, Mentor team members, Guide team members, Design scalable mobile applications, Design mission-critical mobile applications, Implement scalable mobile applications, Implement mission-critical mobile applications, Design robust technical architecture, Investigate new approaches, Prototype new technology, Partner with cross-functional teams, Partner with stakeholders, Transform customer engagement, Drive technical decisions, Balance innovation with implementation", "teamCollaboration" : "Cross-functional teams; Stakeholders; Product managers; UX designers", "domainKnowledge" : "Business Intelligence; Machine learning; Amazon AI; Agentic AI; Mobile computing", "domainList" : [ "business-intelligence", "machine-learning", "amazon-ai", "agentic-ai", "mobile-computing" ], "domainSpecificKnowledge" : [ "Business Intelligence", "Machine learning", "Amazon AI", "Agentic AI", "Mobile computing" ], "innovationCreativity" : "Creative thinking; Prototyping new technology", "problemSolvingSkills" : "Investigating new approaches; Problem space understanding", "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture experience, Experience programming Java, C++, or C#, Object-oriented design experience", "qualificationsPreferred" : "3+ years full software development life cycle experience, Experience with coding standards, Experience with code reviews, Experience with source control management, Experience with build processes, Experience with testing, Experience with operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data. As part of our mobile team, you will help us bring together Agentic AI and analytics to redefine the way users interact with their data on Mobile devices. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. Our mobile team is defining the next generation mobile application, putting AI driven analytics at your fingertips. The ideal candidate will design and code our mobile application with other rock star engineers on the team. The opportunity to make an impact in this role is only limited by the personal capacity of the candidate! If this sounds like a project you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it. You're an engineer looking for a career where you'll be able to build, to deliver, and to impress. You are passionate about mobile computing and want to build a first of its kind application with rich user experiences. You want to work on projects that require creative thinking and deep understanding of the problem space. Software engineers at Amazon partner with the customers, stakeholders, product managers and UX designers to define and execute the product goals. You challenge yourself and others to constantly come up with better solutions. You're a thought leader, but you don't just know how to solve the problem, you prove it by building the solution. Key job responsibilities • Provide technical leadership in developing scalable, mission-critical mobile applications, while mentoring and guiding team members • Design and implement robust technical architecture that shapes user experience, investigating new approaches and prototyping new technology to ensure technical feasibility • Partner with cross-functional teams and stakeholders to transform customer engagement through AI-driven experiences, demonstrating strong product ownership and technical excellence • Driving technical decisions that balance innovation with practical implementation in a fast-paced environment 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 modern language such as Java, C++, or C# including object-oriented design 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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" : "Software Dev Engineer-Mobile, Amazon QuickSight at Amazon.com Services LLC. Skills: Mobile development, Agentic AI, Analytics. Provide technical leadership. Mentor team members", "postedDate" : "2026-06-13T11:33:34.559", "createdAt" : "2026-06-13T11:33:34.559", "lastUpdated" : "2026-06-15T00:57:03.421", "ingestTimestamp" : "2026-06-13T11:33:34.559", "mongoId" : "68e0a7e1ce260f92cbf8e92f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101184/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mobile application development", "Scalable architecture design", "AI-driven experiences", "Leadership", "Mentoring", "Creative thinking", "Mobile development", "Agentic AI", "Analytics", "Technical leadership", "System design", "Product ownership", "Technical excellence", "Business Intelligence", "Machine learning", "Amazon AI", "Mobile computing" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 700.0581, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6cb474d8ee00a091abe8", "title" : "Agentic Mobile Engineer", "company" : "TransferGo", "industry" : "FinTech", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Agentic Mobile Engineer in Krakow, Poland, adjusted for mid-level experience and the FinTech industry." }, "location" : "Kraków, Poland", "locations" : [ "Kraków", "Poland", "Vilnius", "Lithuania", "Warsaw", "Poland" ], "timestamp" : "2026-06-15T09:27:46.164", "fingerprint" : "85943ec2f18b7ac82ebe7212944cadfd61658fbc9e02593b3ee9522d19620be2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/transfergo/jobs/6021760004", "externalId" : "6021760004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kraków", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.0469432,19.9971534" } ], "locationText" : "Kraków, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Swift, SwiftUI, UIKit, Kotlin, Android, TypeScript, React, SOLID, Combine, RxSwift", "professionalSkills" : [ "Product mindset", "Engineering fundamentals", "Agentic AI" ], "hardSkillsList" : [ "IOS development", "Mobile development", "Cross-platform development", "Reactive programming", "Unit testing", "Dependency injection", "Code review" ], "softSkillsList" : [ "Continuous learning", "Teamwork" ], "hardSkills" : [ { "name" : "IOS development", "level" : "intermediate" }, { "name" : "Mobile development", "level" : "intermediate" }, { "name" : "Cross-platform development", "level" : "intermediate" }, { "name" : "Reactive programming", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Dependency injection", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous learning" }, { "name" : "Teamwork" } ], "majorSkills" : "Agentic AI, IOS Development, SwiftUI", "majorSkillsList" : [ "Agentic AI", "IOS Development", "SwiftUI" ], "coreResponsibilities" : "Drive development of solutions, Maintain platform integrity, Diagnose regression issues, Fix regression issues, Play role in release workflows, Engage in incident response, Engage in planning sessions, Engage in retrospectives, Engage in daily standups, Elevate application quality, Elevate application performance, Leverage industry advancements, Deliver user journeys", "teamCollaboration" : "Collaborate with teammates; Collaborate with departments; Collaborative team rituals", "projectManagementSkills" : [ "Planning sessions", "Retrospectives", "Daily standups" ], "domainKnowledge" : "Fintech; Booking flow; Recipients; Pricing; Payments; Core banking; Spend; Compliance", "domainList" : [ "fintech", "booking-flow", "recipients", "pricing", "payments", "core-banking", "spend", "compliance" ], "domainSpecificKnowledge" : [ "Fintech", "Booking flow", "Recipients", "Pricing", "Payments", "Core banking", "Spend", "Compliance" ], "toolProficiency" : [ "Claude Code", "Cursor", "Codex" ], "continuousLearning" : "Annual Development Budget", "innovationCreativity" : "Leverage cutting-edge advancements; Deliver modern journeys; Deliver creative journeys; Deliver compelling journeys", "problemSolvingSkills" : "Diagnose issues; Fix issues; Find ways to elevate quality; Find ways to elevate performance", "outcomesObjectives" : "Impact user conversion; Impact user retention", "qualificationsBasic" : "2+ years shipping iOS, 2+ years Swift, 2+ years SwiftUI, Hands-on agentic coding tool, SOLID principles, Architectural patterns, Reactive concepts, Unit testing, Dependency injection, Critical code reviews", "qualificationsPreferred" : "UIKit a plus, Desire to work cross platforms, Kotlin/Android stack, TypeScript + React/web stack, Backend language stack, Modular architecture, Shipped in 2+ platforms, Reviews code daily, Writes effective agent specs, Autonomous and collaborative, Appetite for learning, Enjoys teamwork, Self-starting initiative", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "TransferGo is a growing fintech scale-up on a mission to champion financial freedom with care. We strive to provide tailored, more affordable financial services that make people's hard-earned money go further. Now in our 14th year, with close to 400 employees in offices across Europe and the UK, we’re crafting a brilliant, relevant product that makes a difference in people's lives and the well-being of their families. We’ve come this far by building a talented, diverse workforce on a fair culture and our strong values. Having this strong team of employees, we can serve those who really need our product to make their lives better. Your team & impact By joining the Engage team, you will contribute to the most critical user journey within our business. This role offers significant technical depth and exposure across various domains, providing you with end-to-end ownership and a clear view of how your work impacts user conversion and retention. Our team manages the booking flow for both SME and Private users, covering domains such as recipients, pricing, and booking. In this position, you will collaborate closely with your direct teammates and various cross-functional departments, including Payments, Core Banking, Spend, Compliance, and Design. Here’s what you’ll be doing as Agentic Mobile Engineer: Drive the development of comprehensive, cross-platform solutions for the booking domain. Maintain platform integrity by diagnosing and fixing regression issues. Play an active role in release workflows and incident response efforts. Engage in collaborative team rituals, including planning sessions, retrospectives, and daily standups. Proactively find ways to elevate the overall quality and performance of the application. Leverage cutting-edge industry advancements to deliver modern, creative, and compelling user journeys. Here’s what we’d love from our new Agentic Mobile Engineer: We don’t expect you to meet every single requirement listed. What matters most is your motivation, mindset, and ability to learn. If you’re excited about this role and think you could be a great fit, we’d really like to hear from you. Strong product mindset: focus on problems, outcomes, and impact—not just tickets or tasks Daily, hands-on agentic AI - genuinely drives work through an agent (Cursor / Claude Code / Codex), not occasional autocomplete. 2+ years shipping production iOS in Swift + SwiftUI (UIKit a plus) Engineering fundamentals they can apply, not recite Desire to work cross platforms At least one agentic coding tool, hands-on: Claude Code, Cursor or similar Core engineering: SOLID, architectural patterns, reactive concepts (Combine or RxSwift), Unit testing, Dependency injection Reviews code critically (catches retain cycles, over-engineering, bugs in AI output) And if you can also do this stuff, even better: A second stack: Kotlin/Android, TypeScript + React/web, or a backend language Modular architecture Already shipped in 2+ platforms Reviews code in languages they don't write daily Writes effective agent specs / skills / rules / guardrails Capable of performing both autonomously and as a collaborative team member Possesses a strong appetite for continuous learning and professional growth Enjoys and actively seeks out opportunities for teamwork Demonstrates strong self-starting initiative What We Offer: Competitive Salary: Starting from €3,100 - €4,660 (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential. Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one. Annual Development Budget: €1,000 to invest in your personal and professional growth. Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week. Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along! Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration. At TransferGo, we are committed to the equal treatment of all current and prospective employees. We will not tolerate discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, marriage, civil partnership or any other protected category. We are proud of our diverse and inclusive culture and we strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join TransferGo. We look forward to meeting you! Please note that all data collected will be handled in accordance with our candidates privacy policy (https://www.transfergo.com/privacy-policy/overview) and will only be used for the purpose of evaluating your candidacy. The data will be securely stored and deleted according to retention timeframe set in the candidates privacy policy. If you have any questions or concerns regarding this, please feel free to reach out by replying or via dpo@transfergo.com", "summaryDescription" : "Agentic Mobile Engineer at TransferGo. Skills: Agentic AI, IOS Development, SwiftUI. Drive development of solutions. Maintain platform integrity", "postedDate" : "2026-06-14T08:07:46.081", "createdAt" : "2026-06-14T08:07:46.081", "lastUpdated" : "2026-06-15T09:27:46.164", "ingestTimestamp" : "2026-06-14T08:07:46.081", "mongoId" : "6a2c6cb474d8ee00a091abe8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "IOS development", "Mobile development", "Cross-platform development", "Reactive programming", "Unit testing", "Dependency injection", "Code review", "Continuous learning", "Teamwork", "Agentic AI", "IOS Development", "SwiftUI", "Product mindset", "Engineering fundamentals", "Planning sessions", "Retrospectives", "Daily standups", "Fintech", "Booking flow", "Recipients", "Pricing", "Payments", "Core banking", "Spend", "Compliance", "Claude Code", "Cursor", "Codex" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 697.59515, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a66f174d8ee00a062def4", "title" : "AI Insights Operations Analyst Intern", "company" : "Arkansas Center for Data Sciences", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-15T01:25:44.912", "fingerprint" : "966e051e18b6decb7eb3ddfe2906ada1ab326bb82aa586e4755a92a94d73903b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/59bc7366-d18d-4651-8f19-4a7dba27fb3b/apply", "externalId" : "59bc7366-d18d-4651-8f19-4a7dba27fb3b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI tools, Claude, ChatGPT, Simporter platform", "professionalSkills" : [ "Consumer insights", "Innovation projects", "Market research", "Client deliverables", "Project status tracking", "Business analysis" ], "hardSkillsList" : [ "Data gathering", "Data organization", "Report consolidation", "Content editing", "Presentation assembly", "Data management", "Task coordination" ], "softSkillsList" : [ "Written communication", "Critical thinking" ], "hardSkills" : [ { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Report consolidation", "level" : "intermediate" }, { "name" : "Content editing", "level" : "intermediate" }, { "name" : "Presentation assembly", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Task coordination", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Written communication" }, { "name" : "Critical thinking" } ], "majorSkills" : "AI, Data analysis, Report generation", "majorSkillsList" : [ "AI", "Data analysis", "Report generation" ], "coreResponsibilities" : "Gather and organize data, Consolidate findings into reports, Create first drafts of reports, Review and edit AI content, Assemble and edit presentations, Upload and organize project data, Maintain project materials, Track project status, Coordinate follow-up activities", "teamCollaboration" : "Virtual client meetings", "domainKnowledge" : "Consumer behavior; Business; Startups; Innovation; Technology; Analytics", "domainList" : [ "consumer-behavior", "business", "startups", "innovation", "technology", "analytics" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Business", "Startups", "Innovation", "Technology", "Analytics" ], "toolProficiency" : [ "PowerPoint", "Google Slides", "Excel" ], "communicationSkills" : "Client meetings", "documentationSkills" : "Report writing", "continuousLearning" : "Learning new software; Learning new systems", "innovationCreativity" : "Innovation projects", "problemSolvingSkills" : "Synthesize findings", "specialRequirements" : "3 months internship, Potential full-time conversion", "outcomesObjectives" : "Reduce administrative workload; Reduce report-production workload", "qualificationsBasic" : "Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States without a current or future need for visa sponsorship, High curiosity and interest in learning new technologies, Technical aptitude", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description ## Key Responsibilities Gather and organize data from the Simporter platform to support consumer insights and innovation projects. Consolidate findings from multiple analyses into standardized report structures. Use our AI tools, as well as Claude and ChatGPT, to create first drafts of market research reports and test summaries. Review, edit, and improve AI-generated content for quality, consistency, and accuracy. Assemble and edit PowerPoint presentations and client deliverables. Upload, organize, and maintain project data and supporting materials. Track project status and coordinate follow-up activities to help keep deliverables on schedule. Attend virtual client meetings to see how AI-powered research and innovation projects are being adapted by Fortune 500 companies. ## Technologies You'll Use Gather and organize data from the Simporter platform to support consumer insights and innovation projects. Consolidate findings from multiple analyses into standardized report structures. Use our AI tools, as well as Claude and ChatGPT, to create first drafts of market research reports and test summaries. Review, edit, and improve AI-generated content for quality, consistency, and accuracy. Assemble and edit PowerPoint presentations and client deliverables. Upload, organize, and maintain project data and supporting materials. Track project status and coordinate follow-up activities to help keep deliverables on schedule. Attend virtual client meetings to see how AI-powered research and innovation projects are being adapted by Fortune 500 companies. ## What Success Looks Like Independently gather and organize project data from the Simporter platform. Use AI tools to synthesize findings and generate draft report content. Assemble first-pass client presentations and research deliverables. Support multiple active projects simultaneously while maintaining strong attention to detail. Take ownership of project tasks and follow-through with minimal supervision. Reduce the administrative and report-production workload of senior team members through reliable execution and strong organizational skills. ## Ideal Candidate Are excited about AI and emerging technology. Enjoy learning new software and systems. Have strong written communication skills. Are highly organized and detail-oriented. Like turning large amounts of information into clear summaries. Are comfortable working in PowerPoint, Google Slides, Excel, or similar tools. Take ownership of tasks and follow through reliably. Enjoy improving processes and keeping projects organized. Have an interest in business, consumer behavior, startups, innovation, technology, or analytics. We welcome applicants from both traditional and non-traditional backgrounds. Candidates may come from business, communications, psychology, education, liberal arts, information systems, data analytics, or other fields where organization, critical thinking, and communication are essential. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "AI Insights Operations Analyst Intern at Arkansas Center for Data Sciences. Skills: AI, Data analysis, Report generation. Gather and organize data. Consolidate findings into reports", "postedDate" : "2026-06-10T15:10:32.752", "createdAt" : "2026-06-10T15:10:32.752", "lastUpdated" : "2026-06-15T01:25:44.912", "ingestTimestamp" : "2026-06-12T07:27:28.886", "mongoId" : "6a2a66f174d8ee00a062def4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data gathering", "Data organization", "Report consolidation", "Content editing", "Presentation assembly", "Data management", "Task coordination", "Written communication", "Critical thinking", "AI", "Data analysis", "Report generation", "Consumer insights", "Innovation projects", "Market research", "Client deliverables", "Project status tracking", "Business analysis", "Consumer behavior", "Business", "Startups", "Innovation", "Technology", "Analytics", "PowerPoint", "Google Slides", "Excel" ], "skillCount" : 27, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 696.4548, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a52a674d8ee00a05fb5a5", "title" : "Professional Services Consultant - Conversational Design", "company" : "Vonage", "industry" : "Cloud Communications", "salary" : { "min" : 95914.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Work from Home - US", "locations" : [ "Work from Home - US" ], "timestamp" : "2026-06-14T04:31:41.456", "fingerprint" : "b97fb36700763c105c803136cce5f643f42f289998484d28f5586004c88faf68", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vonage/jobs/8533049002", "externalId" : "8533049002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Conversational AI", "professionalSkills" : [ "Conversation Design", "Strategic thinking", "Solution design", "Client engagements", "Process improvements", "Design quality", "Team scaling", "User experience design", "Brand voice", "Business goals", "Content quality", "Conversation flow", "User behavior", "Design challenges", "Team efficiency", "Delivery predictability", "Managed services", "Professional services" ], "hardSkillsList" : [ "Virtual Agent design", "Text design", "Voice design", "Copywriting", "Content adaptation" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Virtual Agent design", "level" : "intermediate" }, { "name" : "Text design", "level" : "intermediate" }, { "name" : "Voice design", "level" : "intermediate" }, { "name" : "Copywriting", "level" : "intermediate" }, { "name" : "Content adaptation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Conversation Design, Virtual Agent deployment, Client engagement", "majorSkillsList" : [ "Conversation Design", "Virtual Agent deployment", "Client engagement" ], "coreResponsibilities" : "Design Virtual Agents, Build Virtual Agents, Lead solution design, Collaborate with product teams, Collaborate with solutions teams, Collaborate with customer applications teams, Own quality consistency, Ensure brand alignment, Ensure business goal alignment, Lead copywriting efforts, Adapt existing content, Oversee content quality, Create prototypes, Review prototypes, Create mockups, Review mockups, Create flow diagrams, Review flow diagrams, Partner with engineering teams, Partner with technical teams, Define conversation scope, Anticipate user behavior, Resolve design challenges, Drive process improvements, Increase team efficiency, Increase quality, Increase predictability, Provide feedback, Provide guidance, Provide mentorship, Manage complex projects, Manage senior stakeholders, Maintain strategic view", "teamCollaboration" : "Global remote team; Product teams; Solutions teams; Customer applications teams; Engineering teams; Technical teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Cloud communications; Conversational AI; Virtual Agents; Human-machine interaction", "domainList" : [ "cloud-communications", "conversational-ai", "virtual-agents", "human-machine-interaction" ], "domainSpecificKnowledge" : [ "Cloud communications", "Conversational AI", "Virtual Agents", "Human-machine interaction" ], "toolProficiency" : [ "Vonage AI Studio" ], "communicationSkills" : "Written communication; Verbal communication; Interpersonal skills", "documentationSkills" : "Content quality standards", "innovationCreativity" : "Creative professional", "problemSolvingSkills" : "Problem-solving; Technical problem-solving", "outcomesObjectives" : "Impact millions customer interactions", "qualificationsBasic" : "3+ years experience Conversation Design, Native-level English proficiency, Exceptional writing skills, Exceptional editing skills, Exceptional verbal communication skills, Interpersonal skills, Ability to lead, Ability to influence, Ability to learn new systems, Analytical skills, Problem-solving skills, Ability to thrive fast-paced environment, Consistently meet deadlines", "qualificationsPreferred" : "Experience delivering Virtual Agents, Experience publishing Virtual Agents, Solid understanding human-machine interaction, Prior experience designing AI-driven systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join Vonage and help us innovate cloud communications for businesses worldwide! Professional Services Consultant - Conversational Design Title: Professional Services Consultant Location: US - Remote Department: Vonage AI – Conversation Design Team About Vonage AI At Vonage AI, we help businesses worldwide connect with their customers more effectively - without compromising on service quality. Our team designs and delivers intelligent Virtual Agents (text and voice) across multiple channels and industries, creating seamless, personalized, and engaging customer experiences. We’re looking for a Professional Services Consultant - a highly skilled, creative, and people-oriented professional - to join our global Conversation Design team. This role is for someone who combines strong hands-on design expertise with strategic thinking and leadership within projects and the team. Why this role matters: As a Professional Services Consultant, you’ll be responsible for designing the user experience of Virtual Agents and leading end-to-end client engagements. In addition to hands-on delivery, you’ll play a key role in improving team processes, raising design quality, and helping the team scale. You’ll work closely with clients and partners to understand conversational AI capabilities, identify high-value use cases, design and deploy Virtual Agents in Vonage AI Studio, and support projects throughout their lifecycle. As a Senior, you’ll also take ownership of more complex projects, mentor peers, and drive initiatives that improve how we work in both the managed services and professional services spaces. This role blends advanced conversation design, strategic thinking, and technical problem-solving, with direct impact on millions of customer interactions every day. Your key responsibilities: Design and build complex, high-impact Virtual Agents using Vonage AI’s no-code Studio Lead the solution design for challenging customer use cases across voice and text channels Collaborate closely with product, solutions, and customer applications teams to shape intelligent, scalable conversations Own the quality and consistency of conversation scripts, ensuring alignment with customer brand voice and business goals Lead copywriting efforts for new dialogue flows, adapt existing content (FAQs, SOPs), and oversee content quality standards Create and review prototypes, mockups, and conversation flow diagrams to guide internal and client stakeholders Partner with engineering and technical teams to define conversation scope, anticipate user behavior, and resolve complex design challenges Drive process improvements that increase team efficiency, quality, and predictability of delivery Provide feedback, guidance, and mentorship to other Conversation Designers Manage multiple complex projects and senior stakeholders while maintaining a strategic, big-picture view What you'll bring: 3+ years of experience in Conversation Design or a closely related field Native-level English proficiency (spoken and written) Exceptional writing, editing, and verbal communication skills Strong interpersonal skills and ability to lead and influence in a global, remote team Proven ability to learn and adapt to new systems quickly Strong analytical and problem-solving skills for complex workflows and systems Ability to thrive in a fast-paced environment and consistently meet deadlines Experience delivering and publishing multiple Virtual Agents (strong advantage) Solid understanding of human–machine interaction principles (advantage) Prior experience designing AI-driven conversational systems (big advantage) How you’ll benefit: Company Bonus or Commission Structure (depending on the role) Medical, Dental, and Vision Coverage Options 401(k) Savings Plan Company-Paid Basic Life and AD full details will be shared during the interview process US Pay Transparency $95,914—$125,000 USD There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you. To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice. Who we are: Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today. Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.", "summaryDescription" : "Professional Services Consultant - Conversational Design at Vonage. Skills: Conversation Design, Virtual Agent deployment, Client engagement. Design Virtual Agents. Build Virtual Agents", "postedDate" : "2026-06-11T18:37:03.688", "createdAt" : "2026-06-11T18:37:03.688", "lastUpdated" : "2026-06-14T04:31:41.456", "ingestTimestamp" : "2026-06-11T18:37:03.688", "mongoId" : "6a2a52a674d8ee00a05fb5a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95914, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Virtual Agent design", "Text design", "Voice design", "Copywriting", "Content adaptation", "Leadership", "Mentorship", "Conversation Design", "Virtual Agent deployment", "Client engagement", "Strategic thinking", "Solution design", "Client engagements", "Process improvements", "Design quality", "Team scaling", "User experience design", "Brand voice", "Business goals", "Content quality", "Conversation flow", "User behavior", "Design challenges", "Team efficiency", "Delivery predictability", "Managed services", "Professional services", "Project management", "Cloud communications", "Conversational AI", "Virtual Agents", "Human-machine interaction", "Vonage AI Studio" ], "skillCount" : 33, "jobCategory" : "other", "jobSubcategory" : "professional-services", "dataQualityScore" : 0.8888889, "_score" : 688.8309, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cloud Communications" }, { "id" : "68c2e430f8b1b0376634c78b", "title" : "Software Dev Engineer, Alexa Mobile Assistant", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:24:51.497", "fingerprint" : "fc74fe9568e27490f6de2c95fb101965f4db50f8144f7448d560b557d2ea488f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3074101/apply", "externalId" : "70add5ce-8ee0-459a-94a7-5fc72a52e2a4", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLMs, Generative AI", "professionalSkills" : [ "Technical leadership", "System design", "Product ownership" ], "hardSkillsList" : [ "Mobile app development", "Scalable application development", "Technical architecture" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Mobile app development", "level" : "intermediate" }, { "name" : "Scalable application development", "level" : "intermediate" }, { "name" : "Technical architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "AI-driven experiences, Mobile applications, LLMs", "majorSkillsList" : [ "AI-driven experiences", "Mobile applications", "LLMs" ], "coreResponsibilities" : "Provide technical leadership, Mentor team members, Design technical architecture, Investigate new approaches, Prototype new technology, Drive innovation, Develop key system features, Deliver high-quality solutions, Partner with cross-functional teams, Transform customer engagement, Lead maintenance, Scale high-volume applications, Ensure quality standards, Drive technical decisions, Write high-quality code", "teamCollaboration" : "Cross-functional teams; Business partners; Technical partners", "projectManagementSkills" : [ "Agile/Scrum" ], "domainKnowledge" : "AI technologies; Mobile technology", "domainList" : [ "ai-technologies", "mobile-technology" ], "domainSpecificKnowledge" : [ "AI technologies", "Mobile technology" ], "innovationCreativity" : "Prototyping; Innovation", "problemSolvingSkills" : "Investigating approaches; Analyzing requirements", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science, Experience developing mobile applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about shaping the future of AI-driven user experiences and revolutionizing how customers interact with mobile apps? Join us in transforming Alexa's customer engagement through Large Language Models (LLMs) and AI-driven experiences. We're seeking exceptional Senior Software Engineers to lead the development of scalable, innovative, mission-critical applications that impact millions of customers daily. As a SDE on our Mobile Assistant team, you'll work with LLMs and Generative AI, shaping both technical architecture and user experience. The ideal candidate brings a profound passion for Alexa technology, demonstrable success in feature delivery, and exceptional technical expertise in building mobile apps. You should possess strong Computer Science fundamentals and thrive in a hyper-growth environment where priorities shift rapidly. We need someone who combines technical depth with excellent communication skills, capable of engaging effectively with both business and technical partners. Team collaboration, strong product ownership, and an entrepreneurial spirit are essential. If you're deeply technical, highly innovative, and excited about building pioneering solutions to challenging problems while working with state-of-the-art AI technologies, we want to hear from you. Join us in making history while having fun, and help revolutionize how customers interact with Alexa through mobile technology. Key job responsibilities • Provide technical leadership in developing scalable, mission-critical mobile applications, while mentoring and guiding team members • Design and implement robust technical architecture that shapes user experience, investigating new approaches and prototyping new technology to ensure technical feasibility • Drive innovation and development of key system features, working in an Agile/Scrum environment to deliver high-quality solutions against strict timelines • Partner with cross-functional teams and stakeholders to transform customer engagement through AI-driven experiences, demonstrating strong product ownership and technical excellence • Lead maintenance and scaling of high-volume applications while ensuring exceptional quality standards, driving technical decisions that balance innovation with practical implementation in a fast-paced environment A day in the life High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing CRs, writing high-quality code to be an example for the team. About the team We operate as an autonomous and self organizing team. We advocate for our customers first in every aspect of our work, and make time to know and understand our customers. We make customer privacy and trust a primary concern in every decision. We build towards the right long term solution, and seek to eliminate tech debt. We seek to continuously improve, and will take action every sprint to improve. As a team, we embrace our diversity and foster an inclusive environment where we can all grow together. 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 - Experience developing production-quality mobile applications. 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 $129,300/year in our lowest geographic market up to $223,600/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" : "Software Dev Engineer, Alexa Mobile Assistant at Amazon.com Services LLC. Skills: AI-driven experiences, Mobile applications, LLMs. Provide technical leadership. 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QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data. As part of our mobile team, you will help us bring together Agentic AI and analytics to redefine the way users interact with their data on Mobile devices. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. Our mobile team is defining the next generation mobile application, putting AI driven analytics at your fingertips. The ideal candidate will design and code our mobile application with other rock star engineers on the team. The opportunity to make an impact in this role is only limited by the personal capacity of the candidate! If this sounds like a project you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it. You're an engineer looking for a career where you'll be able to build, to deliver, and to impress. You are passionate about mobile computing and want to build a first of its kind application with rich user experiences. You want to work on projects that require creative thinking and deep understanding of the problem space. Software engineers at Amazon partner with the customers, stakeholders, product managers and UX designers to define and execute the product goals. You challenge yourself and others to constantly come up with better solutions. You're a thought leader, but you don't just know how to solve the problem, you prove it by building the solution. Key job responsibilities • Provide technical leadership in developing scalable, mission-critical mobile applications, while mentoring and guiding team members • Design and implement robust technical architecture that shapes user experience, investigating new approaches and prototyping new technology to ensure technical feasibility • Partner with cross-functional teams and stakeholders to transform customer engagement through AI-driven experiences, demonstrating strong product ownership and technical excellence • Driving technical decisions that balance innovation with practical implementation in a fast-paced environment 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 modern language such as Java, C++, or C# including object-oriented design 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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" : "Software Dev Engineer-Mobile, Amazon QuickSight at Amazon Development Center U.S., Inc.. Skills: Agentic AI, Mobile development, Analytics. Provide technical leadership. Mentor team members", "postedDate" : "2026-06-13T06:06:10.765", "createdAt" : "2026-06-13T06:06:10.765", "lastUpdated" : "2026-06-14T23:41:53.191", "ingestTimestamp" : "2026-06-13T06:06:10.765", "mongoId" : "68e0a7e1ce260f92cbf8e92e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101180/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object-oriented design", "Mobile application development", "Leadership", "Mentoring", "Creative thinking", "Agentic AI", "Mobile development", "Analytics", "System design", "Technical leadership", "Product ownership", "Business Intelligence", "Machine learning", "Amazon AI" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 683.81903, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c799174d8ee00a0941e7a", "title" : "Senior Mobile Software Engineer", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-15T06:49:22.532", "fingerprint" : "6a7454561286d871f9be7e1a7b4ff05477a2436494fbcf70d481db63d62e95a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4215079009", "externalId" : "4215079009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "IOS development, Android development, Swift, Objective-C, Kotlin, Java, Mobile analytics, Event instrumentation, Attribution, Deep linking, A/B testing, Feature flags, Remote config, API integration, Performance optimization", "professionalSkills" : [ "Product experimentation", "Data analysis", "Mobile platform engineering", "Growth initiatives", "User acquisition", "User engagement", "User retention", "Conversion optimization", "Usability optimization", "Measurable impact", "Data insights", "Shared services", "APIs" ], "hardSkillsList" : [ "Event instrumentation", "Tracking validation", "Attribution", "A/B testing", "Feature flagging", "Remote configuration", "Performance optimization", "Analytics tracking", "Analytics reporting" ], "hardSkills" : [ { "name" : "Event instrumentation", "level" : "intermediate" }, { "name" : "Tracking validation", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Feature flagging", "level" : "intermediate" }, { "name" : "Remote configuration", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Analytics tracking", "level" : "intermediate" }, { "name" : "Analytics reporting", "level" : "intermediate" } ], "majorSkills" : "Mobile development, Growth engineering, Analytics, Experimentation", "majorSkillsList" : [ "Mobile development", "Growth engineering", "Analytics", "Experimentation" ], "coreResponsibilities" : "Build and maintain mobile features, Drive user growth, engagement, and conversion, Ensure analytics data integrity and consistency, Instrument events, Validate tracking, Manage attribution, Design mobile experimentation frameworks, Implement A/B testing, Implement feature flags, Implement remote config, Translate growth hypotheses into mobile features, Optimize mobile user experiences, Identify and resolve gaps in mobile analytics tracking, Ensure accurate insights for decision-making, Contribute to shared services and APIs, Power cross-platform growth initiatives, Improve mobile engineering practices, Improve release processes, Improve observability, Improve developer tooling", "teamCollaboration" : "Product teams; Data teams; Marketing teams; Data science teams", "projectManagementSkills" : [ "Rapid iteration" ], "domainKnowledge" : "Sports collectibles; Live commerce; Fan engagement", "domainList" : [ "sports-collectibles", "live-commerce", "fan-engagement" ], "domainSpecificKnowledge" : [ "Sports collectibles", "Live commerce", "Fan engagement" ], "toolProficiency" : [ "Segment", "Amplitude", "Firebase", "React Native" ], "problemSolvingSkills" : "Identify and resolve gaps", "outcomesObjectives" : "Drive user acquisition, engagement, and retention; Impact on growth metrics", "qualificationsBasic" : "5–8+ years experience, IOS and Android development, Swift/Objective-C and Kotlin/Java, Mobile analytics and tracking systems, Mobile experimentation tools, Feature flagging, Remote configuration systems, Data-driven mobile features, Mobile architecture patterns, API integration, Performance optimization, Cross-functionally with product, analytics, and marketing teams, Fast-paced environment", "qualificationsPreferred" : "Growth engineering or product growth teams, Mobile-first environment, Analytics tools such as Segment, Amplitude, Firebase, Cross-platform frameworks (React Native), App store ecosystems, Release cycles, Experimentation constraints on mobile, Consumer-facing apps, High scale and experimentation velocity, Collectibles, live commerce, or fan engagement platforms", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Topps.com is a flagship platform within Fanatics Collectibles. We're building the gold standard for collectors through immersive, commerce-integrated experiences across Topps, Fanatics Live, and Fanatics Collect. Our mission is to deliver performant systems, high design polish, and data-driven growth experiences that engage the next generation of fans. The Role We’re hiring a Senior Mobile Software Engineer to join the Growth Engineering team, focused on driving user acquisition, engagement, and retention across Topps, Fanatics Live, and Fanatics Collect. This role sits at the intersection of product experimentation, analytics, and mobile platform engineering. You will be responsible for ensuring the integrity and reliability of analytics data within our iOS and Android applications, while building and iterating on growth-focused features that directly impact the mobile user experience. You’ll work closely with product, data, and marketing teams to design, implement, and scale experimentation frameworks and growth initiatives across mobile platforms. This role reports to the Director of Engineering, Topps. Key Responsibilities Build and maintain native and/or cross-platform mobile features that drive user growth, engagement, and conversion across Topps, Fanatics Live, and Fanatics Collect. Ensure analytics data integrity and consistency across iOS and Android, including event instrumentation, tracking validation, and attribution. Design and implement mobile experimentation frameworks (A/B testing, feature flags, remote config) to support rapid iteration. Partner with product, data science, and marketing teams to translate growth hypotheses into impactful mobile features. Optimize mobile user experiences for performance, usability, and measurable impact on growth metrics (activation, retention, conversion). Identify and resolve gaps in mobile analytics tracking and reporting, ensuring accurate insights for decision-making. Contribute to shared services and APIs that power cross-platform growth initiatives. Continuously improve mobile engineering practices, including release processes, observability, and developer tooling. Qualifications 5–8+ years of experience building and shipping production mobile applications. Strong proficiency in both iOS and Android development (e.g., Swift/Objective-C and Kotlin/Java), or deep expertise in one with demonstrated ability to contribute to the other. Experience implementing mobile analytics and tracking systems (e.g., event instrumentation, attribution, deep linking). Familiarity with mobile experimentation tools, feature flagging, and remote configuration systems. Experience building data-driven mobile features with measurable business impact. Solid understanding of mobile architecture patterns, API integration, and performance optimization. Strong collaboration skills and ability to work cross-functionally with product, analytics, and marketing teams. Ability to operate in a fast-paced environment with a focus on delivering incremental value. Preferred Experience working on growth engineering or product growth teams in a mobile-first environment. Familiarity with analytics tools such as Segment, Amplitude, Firebase, or similar platforms. Experience with cross-platform frameworks (e.g., React Native) alongside native development. Strong understanding of app store ecosystems, release cycles, and experimentation constraints on mobile. Exposure to consumer-facing apps with high scale and experimentation velocity. Interest in collectibles, live commerce, or fan engagement platforms. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior Mobile Software Engineer at Fanatics Collectibles. Skills: Mobile development, Growth engineering, Analytics, Experimentation. Build and maintain mobile features. Drive user growth, engagement, and conversion", "postedDate" : "2026-06-14T08:24:56.166", "createdAt" : "2026-06-14T08:24:56.166", "lastUpdated" : "2026-06-15T06:49:22.532", "ingestTimestamp" : "2026-06-14T08:24:56.166", "mongoId" : "6a2c799174d8ee00a0941e7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Event instrumentation", "Tracking validation", "Attribution", "A/B testing", "Feature flagging", "Remote configuration", "Performance optimization", "Analytics tracking", "Analytics reporting", "Mobile development", "Growth engineering", "Analytics", "Experimentation", "Product experimentation", "Data analysis", "Mobile platform engineering", "Growth initiatives", "User acquisition", "User engagement", "User retention", "Conversion optimization", "Usability optimization", "Measurable impact", "Data insights", "Shared services", "APIs", "Rapid iteration", "Sports collectibles", "Live commerce", "Fan engagement", "Segment", "Amplitude", "Firebase", "React Native" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 683.1206, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e5374d8ee00a08e315e", "title" : "Senior Director, Economic Insights", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Director in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote, USA", "locations" : [ "Remote", "USA" ], "timestamp" : "2026-06-15T00:48:55.507", "fingerprint" : "cb9026dfcd60e2db14f3be6190d53b7201379b6ce7461d9b819c36bb662fe4de", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8589091002", "externalId" : "8589091002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, AI", "professionalSkills" : [ "Economic research", "Data storytelling", "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Panel bias", "Dwell time definitions", "Place matching" ], "hardSkillsList" : [ "Seasonal adjustment", "Time series analysis", "Geographic aggregations" ], "softSkillsList" : [ "Curious mindset", "Leadership" ], "hardSkills" : [ { "name" : "Seasonal adjustment", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Geographic aggregations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious mindset" }, { "name" : "Leadership" } ], "majorSkills" : "Economic insights, Data PR, AI native analytics", "majorSkillsList" : [ "Economic insights", "Data PR", "AI native analytics" ], "coreResponsibilities" : "Create thought-leading economic research and analysis, Leverage Life360 data and external datasets, Surface new insights about families and the business, Write benchmark reports, Publish insights, Serve as Life360's public spokesperson, Engage media, Speak at industry events, Build repeatable seasonal adjustment frameworks, Caveat methodology when data history is less than, Develop a pipeline of data PR narratives, Identify where Life360's first-party data creates a differentiated, Collaborate with Product, Engineering, Ads and the Data, Align on what data infrastructure investments unlock the, Build relationships with internal and external subject-matter experts, Surface exclusive insights and anecdotes, Maintain newsroom-grade standards of accuracy, ethics, and sourcing", "teamCollaboration" : "Data Science team; Analytics team; Comms team; Product team; Engineering team; Ads team; Internal subject-matter experts; External subject-matter experts", "domainKnowledge" : "Consumer behavior; Location data; Retail analytics; Mobility analytics; Family economic research; Panel bias; Dwell time definitions; Place matching challenges", "domainList" : [ "consumer-behavior", "location-data", "retail-analytics", "mobility-analytics", "family-economic-research", "panel-bias", "dwell-time-definitions", "place-matching-challenges" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Family economic research", "Panel bias", "Dwell time definitions", "Place matching challenges" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Public speaking; Written communication; Verbal communication", "continuousLearning" : "Learning & Development programs", "innovationCreativity" : "AI Native", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Position Life360 as the #1 brand; Foster awareness; Build reputation; Increase engagement", "qualificationsBasic" : "Masters degree in Economics, Statistics, Demography and Quantitative Social Science, or related quantitative field, 10+ years of applied economics work, Demonstrated experience publishing data-driven narratives for non-academic audiences, Working knowledge of seasonal adjustment techniques, Comfortable being the quoted expert, Fluency to write and understand SQL, Know how to optimize SQL performance", "qualificationsPreferred" : "PhD preferred, Experience with driving behavior datasets, Prior experience setting up a data storytelling function from scratch", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most, with a range of services including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU) as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). For more information, please visit life360.com. Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Job Life360 sits on one of the most unique behavioral datasets in consumer tech — real-time location, family dynamics, driving patterns, etc., but translating that into earned media and commercial insight requires someone who understands both the economic signals and the data infrastructure limitations. The Sr. Director, Economic Insights is the person who construes Life360's first-party data and business metrics into narratives that resonate primarily with external audiences. This role will report to the VP of Communications to focus on delivering data-led stories. You will also partner closely with the Data Science and Analytics team. This isn't a cookie-cutter role. We’re looking for a left and right brain person who can identify and tell data-led stories publicly. Together with the communication team, we will position Life360 as the #1 brand for making everyday family life better, fostering awareness, building reputation, and increasing engagement among families and stakeholders (including employees) worldwide. Your curious mindset will uncover insights and trends from millions of data points. You will turn these insights into narratives that shape how the world understands families. Life360's data storytelling capability is early-stage. You'll be working with a time series that's shorter than ideal for seasonal analysis, and you'll also be navigating compute constraints for geographic aggregations. The upside is that the underlying dataset is genuinely differentiated, and you'll be developing the methodology rather than inheriting someone else' s. The US-based salary range for this position is $215,000 - $315,000 We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do Create thought-leading economic research and analysis leveraging Life360 data and external datasets to surface new insights about families and the business Write benchmark reports and publish insights Serve as Life360's public spokesperson on family behavior and consumer mobility trends, engaging media and speaking at industry events in partnership with Comms Build repeatable seasonal adjustment frameworks for retail/food service visit trends; own caveating methodology when data history is less than 3 years Develop a pipeline of data PR narratives (brand-specific and category-level) for economic/consumer/financial press Identify where Life360's first-party data creates a differentiated narrative angle Collaborate and work with Product, Engineering, Ads and the Data & Analytics team to align on what data infrastructure investments unlock the best storytelling ROI. Build relationships with internal and external subject‑matter experts, data scientists, and customers to surface exclusive insights and anecdotes Maintain newsroom‑grade standards of accuracy, ethics, and sourcing What We’re Looking For Masters degree in Economics, Statistics, Demography and Quantitative Social Science, or related quantitative field (PhD preferred but not required if experience is strong) 10+ years of applied economics work — ideally in consumer behavior, location data, or retail/mobility analytics Demonstrated experience publishing data-driven narratives for non-academic audiences (media, investors, policy makers) Being scrappy. Working knowledge of seasonal adjustment techniques (X-13, STL, or equivalent) and an honest awareness of when you can't seasonally adjust cleanly Operate with incomplete or short time series — knows how to caveat, not just how to model Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous. Comfortable being the quoted expert — whether that's a journalist on deadline, a podcast, or a conference stage Prior work at a data PR-forward org (think Ramp, Square, CB Insights, Apartment List, Zillow Economics), who've experienced what a successful data media program actually looks like operationally, or background in family/household economic research Familiarity with mobility or location data, specifically understands panel bias, dwell time definitions, and place matching challenges Exceptional written and communication skills Bonus Experience with driving behavior datasets Fluency to write and understand SQL and know how to optimize performance (know why the query takes 20 hours) Prior experience setting up a data storytelling function from scratch (this is largely a build, not a maintain) Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental wellbeing Flexible PTO, 13 company wide days off throughout the year Winter and Summer Week-long Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote", "summaryDescription" : "Senior Director, Economic Insights at Life360. Skills: Economic insights, Data PR, AI native analytics. Create thought-leading economic research and analysis. Leverage Life360 data and external datasets", "postedDate" : "2026-06-12T22:12:14.395", "createdAt" : "2026-06-12T22:12:14.395", "lastUpdated" : "2026-06-15T00:48:55.507", "ingestTimestamp" : "2026-06-12T22:12:14.395", "mongoId" : "6a2c5e5374d8ee00a08e315e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Seasonal adjustment", "Time series analysis", "Geographic aggregations", "Curious mindset", "Leadership", "Economic insights", "Data PR", "AI native analytics", "Economic research", "Data storytelling", "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Panel bias", "Dwell time definitions", "Place matching", "Family economic research", "Place matching challenges", "AI tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 683.09296, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2a84a674d8ee00a06797c9", "title" : "Senior Software Engineer II AI-Native, Mobile - Pet Experiences", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer II in Canada, adjusted for the technology industry and remote work." }, "location" : "Remote, Canada", "locations" : [ "Remote", "Canada", "Remote", "USA" ], "timestamp" : "2026-06-14T21:41:01.736", "fingerprint" : "20c30f068f78c695ce6906c509f4a4a9e9d0883635124991da45d37cd5a69e65", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8582261002", "externalId" : "8582261002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "iOS, Android, gRPC, Kafka", "professionalSkills" : [ "Mobile architecture", "Modularization", "Dependency management", "API design", "Data contracts", "System design" ], "hardSkillsList" : [ "Mobile development", "Agentic workflows", "Root cause analysis", "Test authoring", "Code generation", "Incident triage", "Spec writing" ], "hardSkills" : [ { "name" : "Mobile development", "level" : "intermediate" }, { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Test authoring", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Incident triage", "level" : "intermediate" }, { "name" : "Spec writing", "level" : "intermediate" } ], "majorSkills" : "AI-native development, Mobile features, Consumer product", "majorSkillsList" : [ "AI-native development", "Mobile features", "Consumer product" ], "coreResponsibilities" : "Build mobile features, Own iOS experiences, Own Android experiences, Develop activity timelines, Develop care routines, Develop weekly roundups, Develop lost pet alerts, Develop third-party integrations, Work with cloud engineers, Work with PM, Take features to production, Own feature quality, Contribute to raising bar, Orchestrate agents, Create specs, Generate code, Generate tests, Verify results, Perform reviews, Establish AI-native practices, Evolve AI-native practices, Deliver features, Design mobile features, Ship mobile features, Use AI as collaborator, Increase delivery velocity, Write test coverage, Validate test coverage, Perform root cause analysis, Collaborate with cloud, Collaborate with design, Collaborate with product, Define APIs, Define data contracts, Define end-to-end workflows, Consume event-driven data, Translate data into experiences, Own feature quality on platform", "teamCollaboration" : "Cloud engineers; Design; Product; Cross-functional teams", "domainKnowledge" : "Pet experiences; Mobile product layer; Event-driven data; Trip events; Dwell events; Care routines; Kafka aggregations; Consumer product", "domainList" : [ "pet-experiences", "mobile-product-layer", "event-driven-data", "trip-events", "dwell-events", "care-routines", "kafka-aggregations", "consumer-product" ], "domainSpecificKnowledge" : [ "Pet experiences", "Mobile product layer", "Event-driven data", "Trip events", "Dwell events", "Care routines", "Kafka aggregations", "Consumer product" ], "toolProficiency" : [ "Claude Code", "Cursor", "GitHub Copilot", "Firebase Crashlytics", "Datadog", "Amplitude", "XCUITest", "Espresso", "Maestro" ], "communicationSkills" : "Articulate technical tradeoffs", "documentationSkills" : "Documentation", "continuousLearning" : "Continuous learning; Stay current", "innovationCreativity" : "Define AI-native mobile development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Ship features weekly; Increase delivery velocity; Raise the bar", "qualificationsBasic" : "5+ years experience, Bachelor’s degree or equivalent", "qualificationsPreferred" : "Experience building consumer pet products, Experience building consumer health products, Experience building consumer activity tracking products, Familiarity with event-driven data pipelines, Familiarity with time-series activity data, Familiarity with aggregation services on mobile, Background with mobile observability tooling, Experience with automated mobile testing frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Team The Pet Experiences team builds the mobile product layer that brings pets into the family — pet profiles, activity timelines, care coordination, lost pet alerts, and third-party integrations. We sit within Life360's Devices org, but our work is squarely in the consumer product layer: building experiences that help families care for, track, and stay connected to their pets. We ship frequently, own our features end to end, and work closely with cloud, design, and product to define what pet ownership looks like inside Life360. We are an AI-Native team. AI isn't an add-on to how we work — it's how we work. We've redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We're looking for engineers who want to help define what AI-native mobile development looks like for a high-traffic consumer product. About the Job As a Senior Mobile Engineer on the Pet Experiences team, you'll build and own the iOS and/or Android experiences across our full pet product features — activity timelines, care routines, weekly roundups, lost pet alerts, and the integrations that extend our reach beyond the app. You'll work closely with cloud engineers and PM to take features from spec to production, own quality on your platform, and contribute to raising the bar for how the team builds. You don't just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You'll help establish and evolve AI-native engineering practices for the Pet Experiences team while delivering features that ship to production weekly. This role is open to iOS or Android specialists or someone proficient in both. Tell us which platform is your home. For candidates based in the US, the salary range for this position is $148,000 to $216,000 USD. For candidates based out of Canada, the salary range for this position is 171,500 to 201,000 CAD. Note: Please be aware that the job title for positions in Canada will be \"Developer\" in lieu of \"Engineer.\" We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. AI-Native Expectations We use AI coding tools as a professional standard on this team. Here's what that means in practice: Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete. Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship. Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team. Team leadership: You share what works. You automate prompting strategies that others can build on. Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team. What You'll Do Design, build, and ship mobile features for pet activity timelines, care coordination, weekly summaries, and lost pet alert flows — using AI (Claude Code) as a first-class collaborator in your daily development workflow. Use agentic workflows to increase delivery velocity without sacrificing quality: from generating feature scaffolding to writing and validating test coverage to root cause analysis during incidents. Collaborate with cloud, design, and product to define APIs, data contracts, and end-to-end workflows across the pet product surface. Consume event-driven data pipelines (trip/dwell events, care routines, Kafka-backed aggregations) and translate them into clear, reliable user experiences. Own feature quality on your platform — iOS (Swift, SwiftUI / RIBs, SPM) or Android (Kotlin, Jetpack Compose, Dagger) or both. Instrument features for observability, crash-free sessions, and quality compliance; partner with the release team on Crashlytics triage. Write clean, testable, performant code; contribute to CI/CD automation and improve team-wide engineering standards. What We're Looking For 5+ years of experience shipping production iOS or Android applications at scale, or both. iOS: deep Swift, Combine/async-await, SwiftUI and/or UIKit, SPM, instrumentation. Android: deep Kotlin, coroutines/Flow, Jetpack Compose, Dagger/Hilt, Gradle. Hands-on experience prompting, evaluating, and building with LLMs — not just autocomplete, but as a genuine development partner. Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling. A track record of using AI tooling to multiply your own output — faster specs, better test coverage, cleaner code, faster debugging. Strong experience with mobile architecture patterns, modularization, and dependency management at scale. Experience integrating with REST/gRPC backends, event-driven pipelines, push notifications, and persistent local storage. Ability to collaborate across teams (cloud, design, product) and articulate technical tradeoffs clearly. Bachelor’s degree or equivalent Nice-to-Have Experience building consumer pet, health, or activity tracking products. Familiarity with event-driven data pipelines, time-series activity data, or aggregation services on mobile. Background with mobile observability tooling (Firebase Crashlytics, Datadog, Amplitude). Experience with automated mobile testing frameworks (XCUITest, Espresso, Maestro, snapshot testing). Our Benefits Competitive pay and benefits. Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. Employee Assistance Program (EAP) for mental wellness. Flexible PTO and 12 company wide days off throughout the year. Learning & Development programs. Equipment, tools, and reimbursement support for a productive remote environment. Free Life360 Platinum Membership for your preferred circle. Life360 Values Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference. Be a Good Person — We have a team of high-integrity people you can trust. Be Direct With Respect — We communicate directly, even when it’s hard. Members Before Metrics — We focus on building an exceptional experience for families. High Intensity, High Impact — We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying! #LI-Remote", "summaryDescription" : "Senior Software Engineer II AI-Native, Mobile - Pet Experiences at Life360. Skills: AI-native development, Mobile features, Consumer product. Build mobile features. Own iOS experiences", "postedDate" : "2026-06-11T22:31:17.974", "createdAt" : "2026-06-11T22:31:17.974", "lastUpdated" : "2026-06-14T21:41:01.736", "ingestTimestamp" : "2026-06-11T22:31:17.974", "mongoId" : "6a2a84a674d8ee00a06797c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Mobile development", "Agentic workflows", "Root cause analysis", "Test authoring", "Code generation", "Incident triage", "Spec writing", "AI-native development", "Mobile features", "Consumer product", "Mobile architecture", "Modularization", "Dependency management", "API design", "Data contracts", "System design", "Pet experiences", "Mobile product layer", "Event-driven data", "Trip events", "Dwell events", "Care routines", "Kafka aggregations", "Claude Code", "Cursor", "GitHub Copilot", "Firebase Crashlytics", "Datadog", "Amplitude", "XCUITest", "Espresso", "Maestro" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.8888889, "_score" : 680.0305, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "68e0a7e1ce260f92cbf8e92d", "title" : "Software Dev Engineer-Mobile, Amazon QuickSight", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:19:48.623", "fingerprint" : "3fb086e7d52d84261f37abec80f19ade2a408a4c29ec3f5ec97571cdffc87c13", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101178/apply", "externalId" : "745bdfdf-e54a-4ba3-a4e4-1671dc397d56", "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", "technicalSkills" : "Java, C++, C#", "professionalSkills" : [ "Technical leadership", "System design", "Architecture" ], "hardSkillsList" : [ "Object-oriented design", "Mobile application development" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Mobile application development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Agentic AI, Mobile development, Data analytics", "majorSkillsList" : [ "Agentic AI", "Mobile development", "Data analytics" ], "coreResponsibilities" : "Provide technical leadership, Mentor team members, Design scalable mobile applications, Implement scalable mobile applications, Design robust technical architecture, Implement robust technical architecture, Investigate new approaches, Prototype new technology, Transform customer engagement, Drive technical decisions", "teamCollaboration" : "Partner with cross-functional teams; Work with stakeholders; Partner with product managers; Partner with UX designers", "domainKnowledge" : "Business Intelligence; Machine learning; Amazon AI; Agentic AI", "domainList" : [ "business-intelligence", "machine-learning", "amazon-ai", "agentic-ai" ], "domainSpecificKnowledge" : [ "Business Intelligence", "Machine learning", "Amazon AI", "Agentic AI" ], "innovationCreativity" : "Prototyping new technology; Investigating new approaches", "problemSolvingSkills" : "Investigating new approaches; Prototyping new technology", "outcomesObjectives" : "Bring together Agentic AI and analytics; Redefine user interaction on mobile; Define next generation mobile application; Put AI driven analytics at fingertips", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming modern language", "qualificationsPreferred" : "3+ years full SDLC experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data. As part of our mobile team, you will help us bring together Agentic AI and analytics to redefine the way users interact with their data on Mobile devices. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. Our mobile team is defining the next generation mobile application, putting AI driven analytics at your fingertips. The ideal candidate will design and code our mobile application with other rock star engineers on the team. The opportunity to make an impact in this role is only limited by the personal capacity of the candidate! If this sounds like a project you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it. You're an engineer looking for a career where you'll be able to build, to deliver, and to impress. You are passionate about mobile computing and want to build a first of its kind application with rich user experiences. You want to work on projects that require creative thinking and deep understanding of the problem space. Software engineers at Amazon partner with the customers, stakeholders, product managers and UX designers to define and execute the product goals. You challenge yourself and others to constantly come up with better solutions. You're a thought leader, but you don't just know how to solve the problem, you prove it by building the solution. Key job responsibilities • Provide technical leadership in developing scalable, mission-critical mobile applications, while mentoring and guiding team members • Design and implement robust technical architecture that shapes user experience, investigating new approaches and prototyping new technology to ensure technical feasibility • Partner with cross-functional teams and stakeholders to transform customer engagement through AI-driven experiences, demonstrating strong product ownership and technical excellence • Driving technical decisions that balance innovation with practical implementation in a fast-paced environment 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 modern language such as Java, C++, or C# including object-oriented design 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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" : "Software Dev Engineer-Mobile, Amazon QuickSight at Amazon.com Services LLC. Skills: Agentic AI, Mobile development, Data analytics. Provide technical leadership. Mentor team members", "postedDate" : "2026-06-13T19:33:21.466", "createdAt" : "2026-06-13T19:33:21.466", "lastUpdated" : "2026-06-15T06:19:48.623", "ingestTimestamp" : "2026-06-13T19:33:21.466", "mongoId" : "68e0a7e1ce260f92cbf8e92d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101178/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object-oriented design", "Mobile application development", "Mentoring", "Agentic AI", "Mobile development", "Data analytics", "Technical leadership", "System design", "Architecture", "Business Intelligence", "Machine learning", "Amazon AI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 679.26776, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e1ce260f92cbf8e92c", "title" : "Software Development Engineer-Mobile, Amazon QuickSight", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:39:49.840", "fingerprint" : "59fd212165f6435f9979c08589bbef4ff7d5e56f05c8231db4080110ac8fa52a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101177/apply", "externalId" : "6dbc857b-77ac-439b-91c1-58bb2b57b05a", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Android programming, iOS programming, React", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "majorSkills" : "Mobile application development, Agentic AI, Data analytics", "majorSkillsList" : [ "Mobile application development", "Agentic AI", "Data analytics" ], "coreResponsibilities" : "Design mobile application, Code mobile application, Bring together Agentic AI and analytics, Define product goals, Execute product goals", "teamCollaboration" : "Other engineers; Customers; Stakeholders; Product managers; UX designers", "domainKnowledge" : "Business Intelligence; Machine learning; Amazon AI; Agentic AI", "domainList" : [ "business-intelligence", "machine-learning", "amazon-ai", "agentic-ai" ], "domainSpecificKnowledge" : [ "Business Intelligence", "Machine learning", "Amazon AI", "Agentic AI" ], "innovationCreativity" : "Creative thinking", "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, Experience programming one language, Experience with Android or iOS programming", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, Experience building web applications with React, Experience delivering low-latency applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data. As part of our mobile team, you will help us bring together Agentic AI and analytics to redefine the way users interact with their data on Mobile devices. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. Our mobile team is defining the next generation mobile application, putting AI driven analytics at your fingertips. The ideal candidate will design and code our mobile application with other rock star engineers on the team. The opportunity to make an impact in this role is only limited by the personal capacity of the candidate! If this sounds like a project you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it. You're an engineer looking for a career where you'll be able to build, to deliver, and to impress. You are passionate about mobile computing and want to build a first of its kind application with rich user experiences. You want to work on projects that require creative thinking and deep understanding of the problem space. Software engineers at Amazon partner with the customers, stakeholders, product managers and UX designers to define and execute the product goals. You challenge yourself and others to constantly come up with better solutions. You're a thought leader, but you don't just know how to solve the problem, you prove it by building the solution. 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 - Experience with Android or iOS programming Preferred Qualifications: - 5+ 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 - Experience building web applications with React and modern web technologies - Experience delivering low-latency, internet scale applications 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 $129,300/year in our lowest geographic market up to $223,600/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" : "Software Development Engineer-Mobile, Amazon QuickSight at Amazon.com Services LLC. Skills: Mobile application development, Agentic AI, Data analytics. Design mobile application. Code mobile application", "postedDate" : "2026-06-13T15:43:00.442", "createdAt" : "2026-06-13T15:43:00.442", "lastUpdated" : "2026-06-15T05:39:49.840", "ingestTimestamp" : "2026-06-13T15:43:00.442", "mongoId" : "68e0a7e1ce260f92cbf8e92c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101177/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mobile application development", "Agentic AI", "Data analytics", "System design", "Reliability", "Scaling", "Business Intelligence", "Machine learning", "Amazon AI" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 678.7335, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a54a574d8ee00a0604023", "title" : "Staff Mobile Engineer", "company" : "Hatch", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Mobile Engineer in the US Technology industry, adjusted for executive seniority and a remote work model." }, "location" : "Distributed, \uD83C\uDDFA\uD83C\uDDF8 + \uD83C\uDDE8\uD83C\uDDE6 (US + Canada)", "locations" : [ "Distributed", "\uD83C\uDDFA\uD83C\uDDF8 + \uD83C\uDDE8\uD83C\uDDE6 (US + Canada)" ], "timestamp" : "2026-06-14T20:10:45.031", "fingerprint" : "bdd640bfb34e611bf99b3be755edbf833f172e4685c40247be29bd8ec91aab5f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hatchcareers/jobs/4687101006", "externalId" : "4687101006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SwiftUI, Jetpack Compose", "professionalSkills" : [ "Technical leadership", "Architectural decision-making", "Customer value", "Business strategy" ], "hardSkillsList" : [ "Mobile app development", "Cross-platform debugging", "AI integration" ], "softSkillsList" : [ "Mentorship", "Empathy" ], "hardSkills" : [ { "name" : "Mobile app development", "level" : "intermediate" }, { "name" : "Cross-platform debugging", "level" : "intermediate" }, { "name" : "AI integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" }, { "name" : "Empathy" } ], "majorSkills" : "Mobile Engineering, Technical leadership, AI integration", "majorSkillsList" : [ "Mobile Engineering", "Technical leadership", "AI integration" ], "coreResponsibilities" : "Serve as technical leader, Contribute to mobile code, Lead feature development, Set technical direction, Mentor engineers, Review existing codebase, Identify technical improvements, Ship meaningful code, Jump into production issues, Debug cross-platform problems, Build context on mobile platform, Ship features, Improve platform reliability, Drive daily app engagement, Understand problem spaces, Shape architectural problems, Shape architectural solutions, Bring proposals to forum, Provide feedback to engineers, Support other engineers, Scope features, Plan features, Rapidly ship features, Champion AI development practices, Create conditions for AI adoption, Drive business strategy, Shape mobile roadmap, Contribute to pillar decisions", "teamCollaboration" : "Cross-functional teams; Partnering with Product; Partnering with Design; Partnering with QA", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Connected sleep ecosystem", "domainList" : [ "connected-sleep-ecosystem" ], "domainSpecificKnowledge" : [ "Connected sleep ecosystem" ], "toolProficiency" : [ "CI/CD", "Testing tools" ], "problemSolvingSkills" : "Debugging", "specialRequirements" : "Available during PST/PDT hours", "outcomesObjectives" : "Deliver features; Improve platform reliability; Drive daily app engagement", "qualificationsBasic" : "6+ years building mobile apps, Swift/SwiftUI experience, Kotlin/Jetpack Compose experience", "qualificationsPreferred" : "AI-assisted development experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Come Dream with Us at Hatch There’s nothing like a great night’s sleep—the cozy, wrapped-up-in-a-heavy-blanket kind of sleep. The fire-crackling, curtains-drawn, DO NOT DISTURB kind of sleep. You know, the good stuff. But here’s the thing: while 85% of people agree sleep is the key to their well-being, more than half are unsatisfied with their own. Whether it’s stress, interruptions, work, or little ones waking in the night, so many people need help getting truly restorative rest. That’s where we come in. At Hatch, we’re on a mission to help people build better sleep habits—so they can feel more focused, energized, and present in their lives. We’ve designed best-in-class smart sleep devices, paired with science-backed sleep content, to help people unwind nightly, sleep deeply, and wake gently. More than 5 million sleepers of all ages have made space for rest with Hatch, with our baby products in 1 in 3 nurseries and our adult product, Restore, taking over nightstands (and TikTok) worldwide. We are open to candidates across the U. S. and Canada. Hatch is based in California, so we ask that you're available during PST/PDT hours. The Role: How You'll Make an Impact Team: Mobile Engineering | Reports to: Director of Mobile Engineering| Location: Remote-friendly (US/Canada, PST hours) Now we're looking for a Staff Mobile Engineer to serve as a technical leader and contributor for our mobile code that powers our connected sleep ecosystem You'll be a leader on engineering development for our mobile apps. That means the iOS and Android apps that keep millions of devices humming in real homes. You’re a great fit if you thrive in environments of rapid learning and delivery. You’re self-motivated and have demonstrated strong ownership and self-direction. You strive to understand the business of what we are trying to accomplish and push engineering solutions to provide customer value. As a small company where AI-assisted development is core to how we work, we expect this role to ramp up quickly, use AI fluently in their day-to-day, and deliver broadly across our mobile systems. Working across Mobile, and partnering closely with Product, you'll lead feature development, set technical direction, and mentor engineers. What You'll Do First 90 Days: Learn & Contribute Review existing codebase and identify immediate technical improvements. Ship meaningful code to production and begin to establish credibility with the engineering team. First 6 Months: Drive Real Impact Technical Leadership: Lead delivery of features, and jump into production issues or improvements, debug cross-platform problems spanning mobile/firmware/backend Cross-Pillar Ramp: Build context on how the full mobile platform fits together. Contribute meaningfully to your team’s initiatives — shipping features, improving platform reliability, and driving daily app engagement Architectural Ownership: Understand problem spaces, partner with stakeholders to shape architectural problems and solutions, and bring proposals to Mobile Strategy and Engineering Forum meetings. Engineer Mentorship: Provide feedback and support for other engineers. Cross-functional Collaboration: Work closely with Product, Design, QA, and other stakeholders to scope, plan, and rapidly ship features AI Integration: Champion AI-assisted development practices within your team — not just using the tools yourself, but creating the conditions where others adopt them faster and go deeper. First Year: Transform & Scale Strategic Impact: Drive business strategy through mobile initiatives and shape the roadmap across the mobile organization — contributing to decisions that benefit all pillars and the people who use Hatch every night. Raise the AI Bar: Serve as a critical evaluator and implementor of our AI strategy.. Help define what \"good\" looks like so that as new engineers join, there's a standard to onboard into, not just an assumption. What You'll Bring Deep Mobile Craft: You’ve spent 6+ years building mobile apps that matter—whether in Swift/SwiftUI or Kotlin/Jetpack Compose. You care about code quality, reliability, and making great experiences for real people Technical Leadership: You love leading by example—writing production code, unblocking others, leading architectural decision-making, and helping teams make smart, pragmatic decisions. You’re as comfortable setting direction as you are rolling up your sleeves Mentorship: You believe great teams make great products. You’ve mentored other engineers, built trust, and created environments where people do their best work Collaborative Energy: You thrive in cross-functional spaces—partnering with Product, Design, and other engineering leaders to turn ideas into reality. You communicate clearly and lead with empathy AI Curiosity: You’re genuinely excited about what AI unlocks—how it can make us more effective builders and open new ways to serve our customers Broad Technical Reach: You bring experience with modern mobile tooling, CI/CD, testing, and cloud services—and you’re always eager to explore new technologies, tech stacks, and approaches Why You’ll Love Working at Hatch \uD83D\uDC9B We’re a certified Great Place to Work! 94% of our employees say Hatch is a great place to work. \uD83D\uDCA1 You’ll work with an amazing leadership team that truly values employees and leads with our company values every day. \uD83C\uDF19 We help people sleep better! Our products make a meaningful impact on people’s lives. \uD83C\uDF89 Our team is collaborative, fun, and full of brilliant minds. \uD83D\uDE80 We’re backed by world-class investors and growing fast! \uD83C\uDFE1 We support flexibility with a remote-friendly work environment. The Perks & Benefits That Matter ✨ 100% paid medical, dental, and vision insurance for employees (80% for dependents, including domestic partners) \uD83D\uDCB0 Meaningful equity—you’re an owner here \uD83D\uDCC8 401(k) match (no vesting schedule!) \uD83D\uDC76 16 weeks of fully paid parental leave \uD83D\uDC86 16 free therapy sessions (for you + one other adult in your life) \uD83D\uDC9C Financial support for family planning \uD83C\uDFE1 Remote office + monthly internet reimbursement \uD83D\uDECD️ Friends & family discounts on Hatch products \uD83C\uDF9F️ Exclusive discounts on travel, entertainment, and top retail brands \uD83D\uDCAB And so many more spontaneous perks! About Hatch Designed by experts and loved by parents, our Rest family—including Rest, Rest+, and Rest Go—helps little ones (and their grown-ups) build healthy sleep routines. For adults, Hatch Restore is a fully customizable smart sleep clock and sunrise alarm designed to help you unwind nightly, sleep deeply, and wake gently. Founded in 2014 by parent entrepreneurs Ann Crady Weiss and Dave Weiss and featured on Shark Tank, Hatch is headquartered in Menlo Park, California. We are an equal opportunity employer and are committed to building a diverse and inclusive team. We welcome applicants of all backgrounds, experiences, and perspectives. Ready to Help the World Sleep Better? We’d love to hear from you! Apply now and join us in making great sleep a reality for all. E-Verify Hatch participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Privacy Notice By submitting a job application at Hatch, you agree to our privacy notice, located here", "summaryDescription" : "Staff Mobile Engineer at Hatch. Skills: Mobile Engineering, Technical leadership, AI integration. Serve as technical leader. Contribute to mobile code", "postedDate" : "2026-06-11T18:13:06.472", "createdAt" : "2026-06-11T18:13:06.472", "lastUpdated" : "2026-06-14T20:10:45.031", "ingestTimestamp" : "2026-06-11T18:13:06.472", "mongoId" : "6a2a54a574d8ee00a0604023", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Mobile app development", "Cross-platform debugging", "AI integration", "Mentorship", "Empathy", "Mobile Engineering", "Technical leadership", "Architectural decision-making", "Customer value", "Business strategy", "Roadmap planning", "Connected sleep ecosystem", "CI/CD", "Testing tools" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "mobile-engineering", "dataQualityScore" : 0.8888889, "_score" : 678.0494, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2aa79174d8ee00a06be317", "title" : "Senior Product Manager - Conversational Banking", "company" : "N26", "industry" : "Banking", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in FinTech in Barcelona, Spain, adjusted for seniority and company size." }, "location" : "Barcelona, Barcelona, Spain", "locations" : [ "Barcelona", "Barcelona", "Spain" ], "timestamp" : "2026-06-13T04:59:12.716", "fingerprint" : "53d158e9b707d76e92a59df2cefa3626a6428b38a0e6f45a1baedd7223534011", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://n26.com/en-eu/careers/positions/7996996?gh_jid=7996996", "externalId" : "7996996", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Power BI, SQL", "professionalSkills" : [ "Process improvement", "Workflow automation", "Product strategy" ], "hardSkillsList" : [ "Data analysis", "Process redesign", "Operational readiness" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process redesign", "level" : "intermediate" }, { "name" : "Operational readiness", "level" : "intermediate" } ], "majorSkills" : "Conversational Banking, Service operations, Product management", "majorSkillsList" : [ "Conversational Banking", "Service operations", "Product management" ], "coreResponsibilities" : "Re-engineer service processes end to end, Map work across contact channels, Identify waste and failure demand, Embed redesigned processes into platform, Drive CRM enablement, Optimize and scale Salesforce, Scale workflow automation, Improve processes across service operations, Identify high-volume, low-complexity work, Remove work through automation, Own operational readiness, Manage readiness for product launches, Translate data into product strategy, Analyze contact drivers, Influence senior stakeholders, Communicate progress and trade-offs", "teamCollaboration" : "Cross-functional team; Partner closely with product areas; Present to leadership forums; Present to SteerCo", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Conversational banking; Contact centre technology; Banking; Fintech; Regulated environment; Cloud contact-centre design; AI in service context", "domainList" : [ "conversational-banking", "contact-centre-technology", "banking", "fintech", "regulated-environment", "cloud-contact-centre-design", "ai-in-service-context" ], "domainSpecificKnowledge" : [ "Conversational banking", "Contact centre technology", "Banking", "Fintech", "Regulated environment", "Cloud contact-centre design", "AI in service context" ], "toolProficiency" : [ "Salesforce", "AWS Connect" ], "communicationSkills" : "Presenting to EXCO; Presenting to SteerCo", "continuousLearning" : "Personal development budget; Language apps", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Quantified operational savings; Measurable efficiency outcomes; Measurable quality outcomes", "qualificationsBasic" : "5+ years product management experience, Experience with platforms and tooling for agents, Track record of delivering workflow automation, Track record of process improvement, Experience in banking or fintech, Experience in regulated environment, Quantitative and analytical skills, Process-improvement mindset, Structured methods for finding waste, Exceptional communication skills, High level of integrity, High work ethic", "qualificationsPreferred" : "Familiarity with AWS Connect, Familiarity with cloud contact-centre design, Experience applying AI in service context, Experience with AWS Bedrock", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the opportunity We are seeking a hands-on Senior Product Manager with a passion for the systems behind great service and a strong operational instinct to join our Conversational Banking group. As Senior Product Manager for Operations and in this role, you are building the engine room that makes those seamless interactions possible. You will work in a cross-functional team of Product Managers, Designers, Engineers and analysts, and partner closely with all product areas. In this role, you will: Re-engineer service processes end to end: Map how work actually flows across contact channels, cases and back office; identify waste, failure demand and procedural gaps; redesign processes for resolution and efficiency; and embed the redesigned process into the platform so it sticks. Drive CRM enablement: Lead the optimization and scaling of Salesforce as our core case-management backbone to continuously elevate agent capabilities. Scale workflow automation and process improvement across service operations: Identify high-volume, low-complexity work and removing it through automation, smarter tooling and redesigned agent journeys, with measurable efficiency and quality outcomes. Own operational readiness: Manage readiness for product and market launches across the service organisation processes, tooling, compliance sign-off, and agent enablement. Translate data into product strategy: Analyze contact drivers, handling times, failure demand, and agent feedback as continuous inputs to identify the next high-impact problems to solve on your roadmap. Influence senior stakeholders: Effectively communicate progress, complex trade-offs, and strategic outcomes to leadership forums and SteerCo. What you need to be successful: 5+ years of product management experience, with significant time spent on the platforms and tooling that agents and operations teams use every day. Demonstrated track record of delivering workflow automation and process improvement with quantified operational savings is a must-have. Experience with contact-centre technology (routing, case management, telephony integration); familiarity with AWS Connect and cloud contact-centre design is a strong plus. Experience applying AI in a service context for agent-assist, knowledge surfacing, or automated client journeys (e. g. on AWS Bedrock or similar) is a strong plus. Experience in banking, fintech or another regulated environment, including coordinating compliance and legal sign-off on the way to market, is a must-have. Strong quantitative and analytical skills; comfortable building the data views that operations and leadership run on (Power BI, SQL or similar). A process-improvement mindset and structured methods (Six Sigma or equivalent) for finding and removing operational waste. Exceptional communication skills, with experience presenting to EXCO/SteerCo-level audiences. A high level of integrity and work ethic, with an intrinsic desire to build things that work end to end, caring as much about what happens behind the scenes as what the client sees. What’s in it for you: Accelerate your career growth by joining one of Europe’s most talked about disruptors \uD83D\uDE80. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Additional day of annual leave for each year of service. A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. A relocation package with visa support for those who need it. Who we are N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles! Equal opportunities for all: At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages. We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you! Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion", "summaryDescription" : "Senior Product Manager - Conversational Banking at N26. Skills: Conversational Banking, Service operations, Product management. Re-engineer service processes end to end. 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QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data. As part of our mobile team, you will help us bring together Agentic AI and analytics to redefine the way users interact with their data on Mobile devices. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. Our mobile team is defining the next generation mobile application, putting AI driven analytics at your fingertips. The ideal candidate will design and code our mobile application with other rock star engineers on the team. The opportunity to make an impact in this role is only limited by the personal capacity of the candidate! If this sounds like a project you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it. You're an engineer looking for a career where you'll be able to build, to deliver, and to impress. You are passionate about mobile computing and want to build a first of its kind application with rich user experiences. You want to work on projects that require creative thinking and deep understanding of the problem space. Software engineers at Amazon partner with the customers, stakeholders, product managers and UX designers to define and execute the product goals. You challenge yourself and others to constantly come up with better solutions. You're a thought leader, but you don't just know how to solve the problem, you prove it by building the solution. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with Android or iOS programming Preferred Qualifications: - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master'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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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" : "Sr. Software Development Engineer-Mobile, Amazon QuickSight at Amazon.com Services LLC. Skills: Mobile application development, Agentic AI, Analytics. Design mobile application. Code mobile application", "postedDate" : "2026-06-13T06:47:38.694", "createdAt" : "2026-06-13T06:47:38.694", "lastUpdated" : "2026-06-15T02:35:35.223", "ingestTimestamp" : "2026-06-13T06:47:38.694", "mongoId" : "68e0a7e1ce260f92cbf8e925", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101176/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Programming", "Mentoring", "Mobile application development", "Agentic AI", "Analytics", "System design", "Architecture", "Business Intelligence", "Machine learning", "Amazon AI" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 672.4724, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Business Intelligence" }, { "id" : "6a2cb20f74d8ee00a09dfa41", "title" : "Senior AI Engineer (Clients)", "company" : "Supernal", "industry" : "IT", "location" : "Saudi Arabia", "locations" : [ "Saudi Arabia" ], "timestamp" : "2026-06-15T07:06:20.941", "fingerprint" : "021b2f37774027114a3f4bb98bf7c4b0016e21cdeaaf6e770979ea4f723910ce", "source" : "lever", "applyUrl" : "https://jobs.lever.co/jobgether/95d7ef85-4bef-4ef6-80a2-a51eb08d59d7/apply", "externalId" : "95d7ef85-4bef-4ef6-80a2-a51eb08d59d7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Saudi Arabia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Saudi Arabia", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLM orchestration, prompt engineering, RAG, APIs, webhooks", "professionalSkills" : [ "AI agent and conversational system deployments." ], "hardSkillsList" : [ "agentic architectures", "conversational AI systems", "workflow automation platforms", "LLM orchestration", "prompt engineering", "function calling", "retrieval-augmented generation (RAG)", "voice systems", "real-time systems", "APIs", "webhooks" ], "softSkillsList" : [ "collaboration, ownership, autonomy" ], "hardSkills" : [ { "name" : "agentic architectures", "level" : "intermediate" }, { "name" : "conversational AI systems", "level" : "intermediate" }, { "name" : "workflow automation platforms", "level" : "intermediate" }, { "name" : "LLM orchestration", "level" : "intermediate" }, { "name" : "prompt engineering", "level" : "intermediate" }, { "name" : "function calling", "level" : "intermediate" }, { "name" : "retrieval-augmented generation (RAG)", "level" : "intermediate" }, { "name" : "voice systems", "level" : "intermediate" }, { "name" : "real-time systems", "level" : "intermediate" }, { "name" : "APIs", "level" : "intermediate" }, { "name" : "webhooks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration, ownership, autonomy" } ], "majorSkills" : "AI agentic architectures, LLM orchestration, RAG, conversational AI, system design", "majorSkillsList" : [ "AI agentic architectures, LLM orchestration, RAG, conversational AI, system design" ], "coreResponsibilities" : "Design, build, and maintain production-grade backend systems, including services, data models, and CRUD applications supporting AI-driven workflows. Develop and integrate external APIs, webhooks, and third-party systems. Build and deploy conversational and agentic AI systems. Own end-to-end technical delivery for client implementations. Translate customer requirements into technical designs, plans, and roadmaps. Make architectural decisions across system design, LLM orchestration, RAG pipelines, integrations, and workflow decomposition. Debug complex production issues. Define and enforce engineering best practices. Collaborate closely with stakeholders to manage scope, timelines, and technical trade-offs. Write and maintain automated tests.", "teamCollaboration" : "Collaborate closely with delivery and product stakeholders to manage scope, timelines, and technical trade-offs.", "projectManagementSkills" : [ "timeline management" ], "toolProficiency" : [ "Docker, Kubernetes" ], "communicationSkills" : "English", "continuousLearning" : "Opportunity to shape engineering best practices and influence production-grade AI system design.", "innovationCreativity" : "Startup-like environment with fast iteration cycles and high technical autonomy.", "problemSolvingSkills" : "system design; distributed systems; clean architecture principles; workflow decomposition; failure recovery", "specialRequirements" : "Comfortable working in fast-paced, ambiguous environments with high ownership and minimal structure.", "outcomesObjectives" : "Own end-to-end technical delivery for client implementations, from system architecture and planning through to production deployment. Ability to own delivery outcomes end-to-end, balancing technical execution with client success and timeline management.", "qualificationsBasic" : "4+ years of experience in software engineering, systems engineering, or automation-focused roles delivering production-grade systems. Hands-on experience building agentic architectures, conversational AI systems, or workflow automation platforms. Proven experience working with LLM orchestration, prompt engineering, function calling, and retrieval-augmented generation (RAG). Experience building and deploying voice or real-time systems, including handling latency, streaming, and failure recovery scenarios. Familiarity with integration patterns involving APIs, webhooks, and external services in production environments. Debugging skills with the ability to diagnose complex issues across distributed systems and AI pipelines. Solid engineering fundamentals, including testing, error handling, system design, and clean architecture principles. Ability to own delivery outcomes end-to-end, balancing technical execution with client success and timeline management. Communication skills in English, with the ability to explain technical trade-offs clearly to both technical and non-technical stakeholders. Comfortable working in fast-paced, ambiguous environments with high ownership and minimal structure.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design, build, and maintain production-grade backend systems, including services, data models, and CRUD applications supporting AI-driven workflows. Develop and integrate external APIs, webhooks, and third-party systems to enable secure and reliable AI agent actions. Build and deploy conversational and agentic AI systems, including multi-turn dialogue management, state handling, and tool use orchestration. Own end-to-end technical delivery for client implementations, from system architecture and planning through to production deployment. Translate customer requirements and statements of work into clear technical designs, implementation plans, and execution roadmaps. Make architectural decisions across system design, LLM orchestration, RAG pipelines, integrations, and workflow decomposition. Debug complex production issues across distributed systems, AI agents, prompts, and external dependencies while ensuring system reliability. Define and enforce engineering best practices, including testing strategies, error handling, observability, and maintainability standards. Collaborate closely with delivery and product stakeholders to manage scope, timelines, and technical trade-offs. Write and maintain automated tests (unit, integration, and end-to-end) to ensure system stability and production readiness. Requirements: 4+ years of experience in software engineering, systems engineering, or automation-focused roles delivering production-grade systems. Strong hands-on experience building agentic architectures, conversational AI systems, or workflow automation platforms. Proven experience working with LLM orchestration, prompt engineering, function calling, and retrieval-augmented generation (RAG). Experience building and deploying voice or real-time systems, including handling latency, streaming, and failure recovery scenarios. Familiarity with integration patterns involving APIs, webhooks, and external services in production environments. Strong debugging skills with the ability to diagnose complex issues across distributed systems and AI pipelines. Solid engineering fundamentals, including testing, error handling, system design, and clean architecture principles. Ability to own delivery outcomes end-to-end, balancing technical execution with client success and timeline management. Strong communication skills in English, with the ability to explain technical trade-offs clearly to both technical and non-technical stakeholders. Comfortable working in fast-paced, ambiguous environments with high ownership and minimal structure. Benefits: Competitive hourly compensation ranging from $35–50/hour depending on experience. Fully remote role with flexibility to work from anywhere globally. Opportunity to work on cutting-edge AI agent and conversational system deployments in real-world production environments. High-impact engineering role with strong ownership over client delivery and technical architecture decisions. Exposure to advanced AI workflows, LLM systems, and agentic infrastructure at scale. Startup-like environment with fast iteration cycles and high technical autonomy. Opportunity to shape engineering best practices and influence production-grade AI system design. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior AI Engineer (Clients) at Supernal. Skills: AI agentic architectures, LLM orchestration, RAG, conversational AI, system design. Design, build, and maintain production-grade backend systems, including services, data models, and CRUD applications supporting AI-driven workflows. Develop and integrate external APIs, webhooks, and third-party systems. Build and deploy conversational and agentic AI systems. Own end-to-end technical delivery for client implementations. Translate customer requirem", "postedDate" : "2026-06-12T08:36:16.248", "createdAt" : "2026-06-12T08:36:16.248", "lastUpdated" : "2026-06-15T07:06:20.941", "ingestTimestamp" : "2026-06-14T21:43:07.610", "mongoId" : "6a2cb20f74d8ee00a09dfa41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "agentic architectures", "conversational AI systems", "workflow automation platforms", "LLM orchestration", "prompt engineering", "function calling", "retrieval-augmented generation (RAG)", "voice systems", "real-time systems", "APIs", "webhooks", "collaboration, ownership, autonomy", "AI agentic architectures, LLM orchestration, RAG, conversational AI, system design", "AI agent and conversational system deployments.", "timeline management", "Docker, Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 666.97363, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e2ce260f92cbf8e991", "title" : "Principal Field Enablement, GTM Acceleration, Applied AI Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Business Merchant Development, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 158400.0, "max" : 262000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:47:36.790", "fingerprint" : "6771a89456f5132eae1e8aa8500c4ebf6f9a89c35983477196b64b6329b976ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3101174/apply", "externalId" : "5561ab10-7be1-4d8f-aed8-860f1047dd60", "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" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "AI", "professionalSkills" : [ "Business dynamics", "Enablement planning", "Data-driven decisions", "Operational excellence", "Strategic initiatives" ], "hardSkillsList" : [ "Business agreements", "Data analysis", "Analytics" ], "softSkillsList" : [ "Curiosity", "Invent & Simplify" ], "hardSkills" : [ { "name" : "Business agreements", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Invent & Simplify" } ], "majorSkills" : "Applied AI Solutions, GTM Acceleration, Field Enablement", "majorSkillsList" : [ "Applied AI Solutions", "GTM Acceleration", "Field Enablement" ], "coreResponsibilities" : "Lead enablement strategy development, Execute enablement strategy, Design field training programs, Implement field training programs, Own enablement tools, Optimize enablement tools, Build measurement frameworks, Maintain measurement frameworks, Evaluate enablement effectiveness, Coordinate enablement initiatives, Execute enablement initiatives, Develop sales enablement content, Maintain sales enablement content, Create feedback loops, Manage feedback loops, Drive integration with programs, Identify enhancement opportunities, Partner with cross-functional teams, Ensure aligned messaging, Maximize resource utilization", "teamCollaboration" : "Internal stakeholders; External partners; Cross-functional teams; Product development; GTM leadership", "projectManagementSkills" : [ "Strategic initiatives" ], "domainKnowledge" : "Applied AI Solutions; Agentic business applications; AWS field enablement; Partner business dynamics", "domainList" : [ "applied-ai-solutions", "agentic-business-applications", "aws-field-enablement", "partner-business-dynamics" ], "domainSpecificKnowledge" : [ "Applied AI Solutions", "Agentic business applications", "AWS field enablement", "Partner business dynamics" ], "toolProficiency" : [ "Alchemy" ], "communicationSkills" : "Data-driven insights", "continuousLearning" : "Mentorship; Career growth", "problemSolvingSkills" : "Analytical; Data-driven decisions; Bias for action", "outcomesObjectives" : "Accelerate GTM strategy; Accelerate GTM growth; Transform organizational capability; Improve operational excellence; Enhance field performance; Maximize program impact", "qualificationsBasic" : "10+ years business agreements, Bachelor's degree, Experience influencing stakeholders, Experience building strategic relationships, Sales enablement programs, Revenue growth programs", "qualificationsPreferred" : "MBA, Experience in data analysis, Leveraging analytics to make decisions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon’s real-world experience, to build opinionated, turn-key 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. We are seeking an experienced and strategic-minded Principal Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization. This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed. You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position. Key job responsibilities 1. Lead the development and execution of comprehensive AAIS portfolio enablement strategy, ensuring alignment with overall GTM objectives and service team priorities 2. Design and implement scalable field training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS's global sales organization 3. Own and optimize AWS enablement tools (including Alchemy) for AAIS content management, ensuring high-quality, accessible resources for field teams 4. Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize field performance and program impact 5. Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions 6. Develop and maintain comprehensive sales enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale 7. Create and manage feedback loops between field teams, product development, and GTM leadership to continuously improve enablement effectiveness 8. Drive integration with existing AWS field scaling programs while identifying opportunities for AAIS-specific enhancements 9. Partner with cross-functional teams (Marketing, Training, Service teams) to ensure aligned messaging and maximize resource utilization across enablement initiatives About the team Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. Basic Qualifications: - 10+ years of developing, negotiating and executing business agreements experience - Bachelor's degree - Experience influencing internal and external stakeholders - Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions - Sales enablement and revenue growth programs Preferred Qualifications: - MBA - Experience in data analysis and leveraging analytics to make decisions 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $158,400/year in our lowest geographic market up to $262,000/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" : "Principal Field Enablement, GTM Acceleration, Applied AI Solutions at Amazon Web Services, Inc.. Skills: Applied AI Solutions, GTM Acceleration, Field Enablement. Lead enablement strategy development. Execute enablement strategy", "postedDate" : "2026-06-13T12:40:13.540", "createdAt" : "2026-06-13T12:40:13.540", "lastUpdated" : "2026-06-15T05:47:36.790", "ingestTimestamp" : "2026-06-13T12:40:13.540", "mongoId" : "68e0a7e2ce260f92cbf8e991", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3101174/apply", "salaryAnnualMin" : 158400, "salaryAnnualMax" : 262000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Business agreements", "Data analysis", "Analytics", "Curiosity", "Invent & Simplify", "Applied AI Solutions", "GTM Acceleration", "Field Enablement", "Business dynamics", "Enablement planning", "Data-driven decisions", "Operational excellence", "Strategic initiatives", "Agentic business applications", "AWS field enablement", "Partner business dynamics", "Alchemy" ], "skillCount" : 17, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 663.6655, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4974d8ee00a08e2c07", "title" : "Vice President, Research and Insights", "company" : "Prosek Partners", "industry" : "Communications", "salary" : { "min" : 150000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T00:27:53.965", "fingerprint" : "9a0d6c270c8fc505dc7f79202eb8b0b81ee17c3d0e6d83ce709aeacc3f97639b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/prosek/jobs/7733556", "externalId" : "7733556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "AI, Python, SQL", "professionalSkills" : [ "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Writing skills", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Research and analytics, AI analytics, Data insights", "majorSkillsList" : [ "Research and analytics", "AI analytics", "Data insights" ], "coreResponsibilities" : "Lead integrated client teams, Ensure data-driven planning, Ensure data-driven execution, Ensure data-driven content development, Serve as strategic counselor, Lead day-to-day client contact, Oversee research projects, Manage research projects, Create measurement frameworks, Implement measurement frameworks, Create research methodologies, Implement research methodologies, Conduct global qualitative research, Conduct global quantitative research, Analyze research results, Monitor media, Assess predictive risk, Assess crisis risk, Conduct whitespace analyses, Perform competitive analysis, Perform media landscape analysis, Analyze narrative intelligence, Identify influencers, Vet influencers, Analyze audiences, Develop new business proposals, Present data, Present insights, Develop reports, Mentor reports, Provide feedback, Hold reports accountable, Conduct reviews, Oversee professional development, Oversee budget creation, Monitor program budgets, Review written materials, Edit written materials, Manage flow of account work, Ensure client objectives are met, Champion the team, Motivate team members, Engage team members, Work to potential, Give team members feedback, Contribute to new business development, Lead RFP responses, Write proposals, Pitch clients, Prospect clients, Recruit new hires, Evaluate potential new hires", "teamCollaboration" : "Integrated client teams; Cross-functional teams; Digital teams; Creative teams; Content teams; PR teams", "projectManagementSkills" : [ "RFP responses", "Proposal writing" ], "domainKnowledge" : "Communications channels; Financial services; Professional services; B2B communications", "domainList" : [ "communications-channels", "financial-services", "professional-services", "b2b-communications" ], "domainSpecificKnowledge" : [ "Communications channels", "Financial services", "Professional services", "B2B communications" ], "toolProficiency" : [ "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "communicationSkills" : "Presenting data; Writing skills; Presentation skills", "continuousLearning" : "Custom career opportunities", "innovationCreativity" : "Brainstorming; Creative strategy planning", "problemSolvingSkills" : "Extrapolating data; Data-driven decision making", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an \"Army of Entrepreneurs\" that was recently named 2026Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the “so what” for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an \"Army of Entrepreneurs,\" and we encourage everyone to embrace that and be the \"writer of their own story.\" What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as \"champion\" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 2 days in the office, 3 days from home - Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Follow us: Website | Twitter | LinkedIn | Facebook | Instagram #LI-HYBRID", "summaryDescription" : "Vice President, Research and Insights at Prosek Partners. Skills: Research and analytics, AI analytics, Data insights. Lead integrated client teams. Ensure data-driven planning", "postedDate" : "2026-06-12T21:57:18.569", "createdAt" : "2026-06-12T21:57:18.569", "lastUpdated" : "2026-06-15T00:27:53.965", "ingestTimestamp" : "2026-06-12T21:57:18.569", "mongoId" : "6a2c5e4974d8ee00a08e2c07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Statistical analysis", "Writing skills", "Presentation skills", "Leadership", "Mentoring", "Research and analytics", "AI analytics", "Data insights", "Data-driven planning", "Client counseling", "Research methodologies", "Predictive risk", "Crisis assessment", "Whitespace analyses", "Narrative intelligence", "Influencer identification", "Audience analysis", "New business proposals", "Data integration", "Data visualization", "RFP responses", "Proposal writing", "Communications channels", "Financial services", "Professional services", "B2B communications", "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "dna", "dataQualityScore" : 0.8888889, "_score" : 663.1177, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Communications" }, { "id" : "6a2ca03374d8ee00a09a1824", "title" : "Mobile Phlebotomist", "company" : "Sprinter Health", "industry" : "Sprinter Medical", "salary" : { "min" : 24.0, "max" : 28.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Chickasha, OK", "locations" : [ "Chickasha, OK" ], "certifications" : [ "Basic Life Support Certification" ], "timestamp" : "2026-06-15T03:27:34.157", "fingerprint" : "2f393ccff018ab67a01b1d6c88408f9e80ec5ee7e286b8a04f0367dc2d92fe0c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/01ce689d-8b15-4823-a4f4-fa1747884128/application", "externalId" : "01ce689d-8b15-4823-a4f4-fa1747884128", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chickasha", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.0512159,-97.9370036" } ], "locationText" : "Chickasha, Oklahoma, United States", "employmentType" : "TEMPORARY", "professionalSkills" : [ "Customer-oriented", "Work independently", "Problem solving" ], "hardSkillsList" : [ "Phlebotomy skills", "Specimen collection", "Vital signs" ], "softSkillsList" : [ "Compassionate", "Empathetic" ], "hardSkills" : [ { "name" : "Phlebotomy skills", "level" : "intermediate" }, { "name" : "Specimen collection", "level" : "intermediate" }, { "name" : "Vital signs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Compassionate" }, { "name" : "Empathetic" } ], "majorSkills" : "Phlebotomy, Patient care, Mobile health services", "majorSkillsList" : [ "Phlebotomy", "Patient care", "Mobile health services" ], "coreResponsibilities" : "Ensure proper supplies and PPE, Access schedule using technology, Make warm connection with patients, Collect relevant information, Collect patient samples, Collect blood samples, Label samples properly, Coordinate sample drop off, Coordinate sample shipment", "teamCollaboration" : "Energetic and innovative team", "domainKnowledge" : "Telehealth; Healthcare", "domainList" : [ "telehealth", "healthcare" ], "domainSpecificKnowledge" : [ "Telehealth", "Healthcare" ], "toolProficiency" : [ "Mobile devices" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Charting", "continuousLearning" : "Advanced learning; Broaden skills; Integrate evidence based practices", "innovationCreativity" : "Revolutionary environment; Out of the box thinking", "problemSolvingSkills" : "Last minute problem solving", "specialRequirements" : "Reliable transportation, Use own vehicle, Climbing stairs, Carrying up to 20 pounds, Walking", "outcomesObjectives" : "Deliver caring and high quality healthcare experience", "qualificationsBasic" : "Basic Life Support Certification, Transcript of Program Graduation, Valid clinical license search, National background check, DMV check", "qualificationsPreferred" : "Prior experience as a phlebotomist", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us Are you looking for a full time opportunity that combines your passion for connecting with people, making a difference in their lives and your experience as a Phlebotomist? Sprinter Health is currently seeking full-time experienced and professional phlebotomists interested in joining our high-growth stage startup! Sprinter Health is a boots-on-the-ground clinician network for the telehealth age, bringing routine health services such as blood draws and vitals directly to the patient’s home. Successful candidates will have prior experience as a phlebotomist as well as be reliable, professional, customer-oriented and have the ability to work independently with a high standard of excellence. You will be a member of an energetic and innovative team at the forefront of changing the way that healthcare is offered. Sprinter Health Phlebotomists will be on a path towards advanced learning, eager to broaden their skills and integrate the latest evidence based practices in their profession. Most importantly, we are seeking candidates who are friendly, compassionate, empathetic, and genuinely care about patients. Although we provide mobile health services, the patient experience is central to our mission. Every interaction with patients is an opportunity to deliver a caring and high quality healthcare experience. This is a temporary position. A Day in the Life of a Sprinter - Your day will begin by ensuring that you have all the proper supplies and PPE with you to care for that day’s patients - Using easy and modern technology, you will access your schedule for the day - Once in the patient’s home, you will have the opportunity to make a warm and welcoming connection with patients of all ages as you prepare to collect relevant information and patient samples - You will have a very clear and outlined understanding of what information you will need from each patient - including but not limited to specimen collection, vital signs, and heart and lung tones - Your patient visits will involve using your expert phlebotomy skills to collect blood samples in a manner that is easy and comfortable for the patient experience - If samples are collected, you will ensure they are labeled properly and then coordinate drop off to the appropriate lab or shipment facility Skills and Requirements - Consistently exhibit the highest levels of professionalism, integrity, accountability, confidentiality, care and compassion to provide high quality health services - Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking - Technologically savvy and comfortable using tools such as mobile devices for charting and HIPAA secure messaging apps for care coordination - Strong communication skills; both written and verbal - Ability to work independently or in a team environment - Comfortable working with minimal supervision - Interest in learning and advancing skill set - Reliable transportation as you will be using your own vehicle to travel to patient homes - Ability to physically access and navigate patient homes including but not limited to climbing stairs and carrying up to 20 pounds while walking - Pass national background check, DMV check, valid clinical license search To begin working with patients you will need to have: - Basic Life Support Certification - Transcript of Program Graduation - Valid Driver’s License - Current Vehicle Insurance - COVID + booster (Vaccine 1 of 2, Vaccine 2 of 2, Booster 1) - Measles/Mumps/Rubella (MMR) - Hep B - Varicella - TB (within the past year) - Flu (annual or signed exemption) - Tetanus/Diphtheria/Pertussis (TDaP - within past 10 years) Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today! If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.", "summaryDescription" : "Mobile Phlebotomist at Sprinter Health. Skills: Phlebotomy, Patient care, Mobile health services. Ensure proper supplies and PPE. Access schedule using technology", "createdAt" : "2026-06-13T23:15:53.851", "lastUpdated" : "2026-06-15T03:27:34.157", "ingestTimestamp" : "2026-06-13T23:15:53.851", "mongoId" : "6a2ca03374d8ee00a09a1824", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 28, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Phlebotomy skills", "Specimen collection", "Vital signs", "Compassionate", "Empathetic", "Phlebotomy", "Patient care", "Mobile health services", "Customer-oriented", "Work independently", "Problem solving", "Telehealth", "Healthcare", "Basic Life Support Certification", "Mobile devices" ], "skillCount" : 15, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 662.53485, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca03374d8ee00a09a1831", "title" : "Mobile Phlebotomist", "company" : "Sprinter Health", "industry" : "Sprinter Medical", "salary" : { "min" : 25.0, "max" : 29.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Clyde, NC", "locations" : [ "Clyde, NC" ], "certifications" : [ "Basic Life Support", "National certification", "State required licensure" ], "timestamp" : "2026-06-15T11:27:28.495", "fingerprint" : "d5613cdda7c25d8ed3bd852a2a2be46def6fb8091b9cd902d1469507b6d9947c", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/06fecbbb-0bc9-4a2a-b873-6bc671be2ddf/application", "externalId" : "06fecbbb-0bc9-4a2a-b873-6bc671be2ddf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Clyde", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Clyde, North Carolina, United States", "employmentType" : "TEMPORARY", "minimumEducation" : "Associate", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Junior", "technicalSkills" : "ECGs, digital stethoscopes", "hardSkillsList" : [ "venipuncture", "phlebotomy", "specimen collection", "diabetic foot screenings", "retina exams" ], "softSkillsList" : [ "dependability, professionalism, problem-solving, customer service, compassionate, empathetic" ], "hardSkills" : [ { "name" : "venipuncture", "level" : "intermediate" }, { "name" : "phlebotomy", "level" : "intermediate" }, { "name" : "specimen collection", "level" : "intermediate" }, { "name" : "diabetic foot screenings", "level" : "intermediate" }, { "name" : "retina exams", "level" : "intermediate" } ], "softSkills" : [ { "name" : "dependability, professionalism, problem-solving, customer service, compassionate, empathetic" } ], "majorSkills" : "patient care", "majorSkillsList" : [ "patient care" ], "coreResponsibilities" : "The Mobile Phlebotomist will provide preventative care and diagnostic services to patients in their homes, including phlebotomy, specimen collection, diabetic foot screenings, retina exams, and ECGs. This role involves using technology for scheduling and charting, creating patient connections, and managing collected samples. The position requires operating autonomously with a focus on quality and patient comfort.", "teamCollaboration" : "Ability to work independently or in a team environment.", "toolProficiency" : [ "mobile devices" ], "communicationSkills" : "written communication; verbal communication", "documentationSkills" : "HIPAA secure messaging", "continuousLearning" : "Sprinters will be on a path towards advanced learning and should be eager to broaden their skills and integrate the latest evidence based practices in their profession.", "innovationCreativity" : "Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking.", "problemSolvingSkills" : "last minute problem solving", "specialRequirements" : "State required licensure and/or proof of training, National certification for applicants in all states that do not have state level licensure requirements, Basic Life Support certification, Proof of completion of course/program or certification based on licensure level, Valid Driver’s License, Current Vehicle Insurance.", "qualificationsBasic" : "Requires previous experience in venipuncture, dependability, professionalism, problem-solving, and customer service excellence. Must be technologically savvy, comfortable using mobile devices for charting and HIPAA secure messaging. Requires reliable transportation, a valid driver's license, current vehicle insurance, and the ability to physically access patient homes. Must pass a national background check, DMV check, and valid clinical license search. Proof of vaccination or immunity for COVID, MMR, Hepatitis, Varicella, TB, Influenza, and TDaP is required.", "qualificationsPreferred" : "Interest in learning and advancing skill set.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us At Sprinter Health, our mission is to reimagine how people access care by bringing high-quality care directly into the home. Using the same technology that powers leading marketplace platforms, we deliver care where people are, especially those who need it most. We’ve supported millions of patients across 22 states and consistently maintained a 90+ NPS, reflecting the quality and experience we strive to deliver every day. Our clinical teams are at the center of making healthcare more accessible, connected, and personal. Where patient experience isn’t a metric. It’s a standard. This is a temporary position. About The Role Are you ready to be a part of the cutting-edge healthcare workforce at Sprinter Health? We're seeking dynamic full-time nurses, phlebotomists or medical assistants who are prepared to lead the way into the future of healthcare. As a Sprinter you'll tap into your medical expertise to provide a diverse array of preventative care and diagnostic services to patients in the comfort of their homes. Trainings will be offered to acquaint you with fresh and captivating services, encompassing tasks like capturing diabetic retina images, performing ECGs, recording using digital stethoscopes and more. Successful candidates will have previous experience in venipuncture, coupled with traits such as dependability, professionalism, problem-solving, and an unwavering commitment to customer service excellence. The role demands the ability to operate autonomously with an emphasis on exceptional quality. Sprinters will be on a path towards advanced learning and should be eager to broaden their skills and integrate the latest evidence based practices in their profession. Most importantly, we are seeking candidates who are friendly, compassionate, empathetic, and genuinely care about patients. A day in the life of a Sprinter … - Commencing the day… Your day will begin by ensuring that you have all of the proper supplies and PPE with you to care for that day’s patients - Navigating with ease… Using easy and modern technology, you will access your schedule for the day and commute to each patient’s home - Creating meaningful bonds… Once you have arrived, you will have the opportunity to make a warm and welcoming connection with a diverse range of patients as you prepare to collect relevant information and perform various services - Patient-centric, diagnostic and low acuity care…Your appointments will encompass an array of different services, including but not limited to phlebotomy, specimen collection, diabetic foot screenings, retina exams, ECGs and more! All services must be rendered in a manner that is comfortable and easy for the patient. - Sample collection and management… If samples are collected, you will ensure they are labeled properly and then coordinate drop off to the appropriate lab or shipment facility Skills and Requirements - Consistently exhibit the highest levels of professionalism, integrity, accountability, confidentiality, care and compassion to provide high quality health services - Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking - Technologically savvy and comfortable using tools such as mobile devices for charting and HIPAA secure messaging apps for care coordination - Strong communication skills; both written and verbal - Ability to work independently or in a team environment - Comfortable working with minimal supervisionInterest in learning and advancing your skill setReliable transportation as you will be using your own vehicle to travel to patient homes - Ability to physically access and navigate patient homes including but not limited to climbing stairs and carrying up to 20 pounds while walking - Pass national background check, DMV check, valid clinical license search To begin working with patients you will need to have … - State required licensure and/or proof of training - National certification for applicants in all states that do not have state level licensure requirements - Basic Life Support certification - Proof of completion of course/program or certification based on licensure level - Valid Driver’s License - Current Vehicle Insurance Proof of vaccination or immunity is required for the below: - COVID + booster (Primary Series + 1 Booster) - Measles/Mumps/Rubella (MMR) - Hepatitis B series - Varicella - TB test (within the past year) - Influenza (annual or signed exemption) - Tetanus/Diphtheria/Pertussis (TDaP - within past 10 years) Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today! Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com http://sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com http://sprinterhealth.com.", "summaryDescription" : "Mobile Phlebotomist at Sprinter Health. Skills: patient care. The Mobile Phlebotomist will provide preventative care and diagnostic services to patients in their homes, including phlebotomy, specimen collection, diabetic foot screenings, retina exams, and ECGs. This role involves using technology for scheduling and charting, creating patient connections, and managing collected samples. The position requires operating autonomously with a focus on quality and patient comfort.", "createdAt" : "2026-06-14T18:49:40.452", "lastUpdated" : "2026-06-15T11:27:28.495", "ingestTimestamp" : "2026-06-14T18:49:40.452", "mongoId" : "6a2ca03374d8ee00a09a1831", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 29, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "venipuncture", "phlebotomy", "specimen collection", "diabetic foot screenings", "retina exams", "dependability, professionalism, problem-solving, customer service, compassionate, empathetic", "patient care", "Basic Life Support", "National certification", "State required licensure", "mobile devices" ], "skillCount" : 11, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 662.18835, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "68b706977fc9a711f0f6f707", "title" : "Software Dev Engineer - Alexa Mobile", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:01:22.304", "fingerprint" : "5c1bd6d120fd3b42480e6b5cd13b4ba2bbc0d05f9fb1a936df7123cb40a61aa7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052084/apply", "externalId" : "6a59a242-dda5-4473-bb7c-cbcc68150a5e", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLMs, Generative AI", "professionalSkills" : [ "Technical leadership", "System design", "Product ownership" ], "hardSkillsList" : [ "Mobile app development", "Scalable application development" ], "softSkillsList" : [ "Mentoring", "Innovation" ], "hardSkills" : [ { "name" : "Mobile app development", "level" : "intermediate" }, { "name" : "Scalable application development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Innovation" } ], "majorSkills" : "AI-driven experiences, Mobile applications, Large Language Models", "majorSkillsList" : [ "AI-driven experiences", "Mobile applications", "Large Language Models" ], "coreResponsibilities" : "Provide technical leadership, Mentor team members, Design technical architecture, Implement technical architecture, Investigate new approaches, Prototype new technology, Drive innovation, Develop key system features, Deliver high-quality solutions, Partner with cross-functional teams, Transform customer engagement, Lead maintenance, Scale high-volume applications, Ensure quality standards, Drive technical decisions, Write high-quality code", "teamCollaboration" : "Cross-functional teams; Business partners; Technical partners", "projectManagementSkills" : [ "Agile/Scrum environment" ], "domainKnowledge" : "AI; Mobile technology; Customer engagement", "domainList" : [ "ai", "mobile-technology", "customer-engagement" ], "domainSpecificKnowledge" : [ "AI", "Mobile technology", "Customer engagement" ], "innovationCreativity" : "Prototyping new technology; Drive innovation; Highly innovative", "problemSolvingSkills" : "Investigating new approaches; Proposing solutions", "qualificationsBasic" : "3+ years software development, 2+ years design or architecture, Programming language experience", "qualificationsPreferred" : "3+ years full SDLC, Bachelor's degree computer science, Mobile applications development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about shaping the future of AI-driven user experiences and revolutionizing how customers interact with mobile apps? Join us in transforming Alexa's customer engagement through Large Language Models (LLMs) and AI-driven experiences. We're seeking exceptional Senior Software Engineers to lead the development of scalable, innovative, mission-critical applications that impact millions of customers daily. As a SDE on our Mobile Assistant team, you'll work with LLMs and Generative AI, shaping both technical architecture and user experience. The ideal candidate brings a profound passion for Alexa technology, demonstrable success in feature delivery, and exceptional technical expertise in building mobile apps. You should possess strong Computer Science fundamentals and thrive in a hyper-growth environment where priorities shift rapidly. We need someone who combines technical depth with excellent communication skills, capable of engaging effectively with both business and technical partners. Team collaboration, strong product ownership, and an entrepreneurial spirit are essential. If you're deeply technical, highly innovative, and excited about building pioneering solutions to challenging problems while working with state-of-the-art AI technologies, we want to hear from you. Join us in making history while having fun, and help revolutionize how customers interact with Alexa through mobile technology. Key job responsibilities • Provide technical leadership in developing scalable, mission-critical mobile applications, while mentoring and guiding team members • Design and implement robust technical architecture that shapes user experience, investigating new approaches and prototyping new technology to ensure technical feasibility • Drive innovation and development of key system features, working in an Agile/Scrum environment to deliver high-quality solutions against strict timelines • Partner with cross-functional teams and stakeholders to transform customer engagement through AI-driven experiences, demonstrating strong product ownership and technical excellence • Lead maintenance and scaling of high-volume applications while ensuring exceptional quality standards, driving technical decisions that balance innovation with practical implementation in a fast-paced environment A day in the life High-level designs, cross-team alignment, long-term architectural roadmap and technical strategy, understanding the business domain and proposing solutions to address customer and business problems, helping scope and analyze product requirements, mentorship, reviewing CRs, writing high-quality code to be an example for the team. About the team We operate as an autonomous and self organizing team. We advocate for our customers first in every aspect of our work, and make time to know and understand our customers. We make customer privacy and trust a primary concern in every decision. We build towards the right long term solution, and seek to eliminate tech debt. We seek to continuously improve, and will take action every sprint to improve. As a team, we embrace our diversity and foster an inclusive environment where we can all grow together. 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 - Experience developing production-quality mobile applications. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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" : "Software Dev Engineer - Alexa Mobile at Amazon.com Services LLC. Skills: AI-driven experiences, Mobile applications, Large Language Models. Provide technical leadership. Mentor team members", "postedDate" : "2026-06-13T07:06:25.325", "createdAt" : "2026-06-13T07:06:25.325", "lastUpdated" : "2026-06-15T03:01:22.304", "ingestTimestamp" : "2026-06-13T07:06:25.325", "mongoId" : "68b706977fc9a711f0f6f707", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052084/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mobile app development", "Scalable application development", "Mentoring", "Innovation", "AI-driven experiences", "Mobile applications", "Large Language Models", "Technical leadership", "System design", "Product ownership", "Agile/Scrum environment", "AI", "Mobile technology", "Customer engagement" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 661.9338, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a65fd74d8ee00a062b538", "title" : "Sr. Software Development Engineer, Conversational Ad Experiences", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-14T23:40:39.110", "fingerprint" : "ceab5c40de95a5cf8402d0c9877814aba29800014cc311c260edbd591740ff3e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444888/apply", "externalId" : "fabdc60f-54a3-4272-b56b-77c1267a3590", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Large Language Models, ML infrastructure, LLMOps, Distributed systems, Conversational AI, Natural language", "professionalSkills" : [ "Technical leadership", "System design", "Technical roadmap", "Problem definition", "Operational excellence", "Technical strategies", "Engineering best practices" ], "hardSkillsList" : [ "Software development", "System architecture", "MLOps pipelines", "Data processing pipelines", "Code reviews" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "MLOps pipelines", "level" : "intermediate" }, { "name" : "Data processing pipelines", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Large Language Models, LLMOps, Distributed systems, Conversational AI", "majorSkillsList" : [ "Large Language Models", "LLMOps", "Distributed systems", "Conversational AI" ], "coreResponsibilities" : "Define architecture of conversational advertising, Lead technical vision for sponsored conversational shopping experiences, Own technical direction for initiatives, Design large-scale distributed systems, Build ML infrastructure, Build LLMOps pipelines, Partner with science to bring large language models, Set engineering bar for team, Ship customer-facing experiences, Own architecture decisions, Drive system design, Influence team's technical roadmap, Operationalize large language models, Design data processing pipelines, Pioneer new technical approaches, Raise bar for what's possible, Collaborate with cross-functional teams, Influence cross-functional teams, Integrate AI-driven solutions, Mentor engineers, Drive technical excellence, Establish engineering best practices, Break down complex problems, Shape long-term technical vision", "teamCollaboration" : "Cross-functional teams; Product teams; Science teams; Design teams", "projectManagementSkills" : [ "Problem definition", "Production deployment", "Actionable technical strategies", "Clear milestones" ], "domainKnowledge" : "Conversational advertising; Large Language Models; GenAI; Generative AI; AI-driven advertising; Distributed systems; ML infrastructure; LLMOps; Conversational AI; Natural language interactions; Advertising ecosystem", "domainList" : [ "conversational-advertising", "large-language-models", "genai", "generative-ai", "ai-driven-advertising", "distributed-systems", "ml-infrastructure", "llmops", "conversational-ai", "natural-language-interactions", "advertising-ecosystem" ], "domainSpecificKnowledge" : [ "Conversational advertising", "Large Language Models", "GenAI", "Generative AI", "AI-driven advertising", "Distributed systems", "ML infrastructure", "LLMOps", "Conversational AI", "Natural language interactions", "Advertising ecosystem" ], "innovationCreativity" : "Industry-first conversational ad experiences; Pioneer new technical approaches", "problemSolvingSkills" : "Ambiguous problem definition; Undefined problem spaces; Break down complex problems", "outcomesObjectives" : "Impact hundreds of millions of shoppers; Drive incremental sales; Shape revenue outcomes", "qualificationsBasic" : "5+ years non-internship professional software development experience, 5+ years programming experience, 5+ years leading design or architecture experience, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Define the architecture of conversational advertising powered by Large Language Models—an entirely new category that doesn't exist yet. As a Senior SDE on the CAX (Conversational Ad Experiences) team, you'll lead the technical vision for industry-first sponsored conversational shopping experiences on Amazon Search, impacting hundreds of millions of shoppers worldwide. This isn't incremental work. The CAX team is building from zero-to-one: LLM-powered ad experiences that fundamentally change how brands connect with customers in real time. As a senior engineer, you will own the technical direction for ambiguous, high-impact initiatives—designing large-scale distributed systems, building ML infrastructure and LLMOps pipelines, and partnering directly with science to bring large language models into production. You'll set the engineering bar for the team while shipping customer-facing experiences at Amazon's global scale. Why choose this role: - Greenfield + GenAI — You're not maintaining legacy systems; you're architecting industry-first conversational ad experiences from scratch - Technical leadership — Own architecture decisions, drive system design, and influence the team's technical roadmap - LLMs in production at scale — Partner with science to operationalize large language models serving hundreds of millions of shoppers - Outsized business impact — SPB drives incremental sales for millions of advertisers; your systems directly shape revenue outcomes - Ambiguity as opportunity — Undefined problem spaces where senior engineers thrive and have the most influence Key job responsibilities - Lead the design and architecture of net-new conversational ad experiences on the Amazon Search page, making critical technical decisions that define system direction - Drive major product and engineering initiatives end-to-end, from ambiguous problem definition through production deployment and operational excellence - Architect and build large-scale, low-latency distributed systems and ML infrastructure that power LLM-driven ad experiences at global scale - Partner with the science team to implement large language models in production and build robust LLMOps capabilities - Design and own data processing pipelines that support real-time, personalized conversational experiences for hundreds of millions of shoppers - Pioneer new technical approaches to conversational AI and natural language interactions in advertising, raising the bar for what's possible - Collaborate with and influence cross-functional teams (product, science, design) to integrate AI-driven solutions across the advertising ecosystem - Mentor engineers, drive technical excellence through design and code reviews, and establish engineering best practices for the team - Navigate ambiguity to break down complex, undefined problems into actionable technical strategies with clear milestones - Shape the long-term technical vision for how businesses connect with customers through AI-powered advertising What we're looking for: - Deep expertise in building and operating large-scale distributed systems in production - Passionate about Generative AI, Large Language Models, and bringing them from research to real-world applications - Proven ability to lead technical initiatives in ambiguous environments and drive clarity for the team - Track record of delivering innovative, high-impact solutions that influence product and business direction - Strong mentorship instincts—you elevate the engineers around you - Enthusiasm for staying at theforefront of the rapidly evolving AI landscape About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ 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, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Conversational Ad Experiences at Amazon.com Services LLC. Skills: Large Language Models, LLMOps, Distributed systems, Conversational AI. Define architecture of conversational advertising. Lead technical vision for sponsored conversational shopping experiences", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-13T06:52:55.214", "lastUpdated" : "2026-06-14T23:40:39.110", "ingestTimestamp" : "2026-06-13T06:52:55.214", "mongoId" : "6a2a65fd74d8ee00a062b538", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444888/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System architecture", "MLOps pipelines", "Data processing pipelines", "Code reviews", "Mentoring", "Large Language Models", "LLMOps", "Distributed systems", "Conversational AI", "Technical leadership", "System design", "Technical roadmap", "Problem definition", "Operational excellence", "Technical strategies", "Engineering best practices", "Production deployment", "Actionable technical strategies", "Clear milestones", "Conversational advertising", "GenAI", "Generative AI", "AI-driven advertising", "ML infrastructure", "Natural language interactions", "Advertising ecosystem" ], "skillCount" : 27, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 655.59265, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2ca03374d8ee00a09a1825", "title" : "Mobile Phlebotomist", "company" : "Sprinter Health", "industry" : "Sprinter Medical", "salary" : { "min" : 24.0, "max" : 28.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Mcalester, OK", "locations" : [ "Mcalester, OK" ], "certifications" : [ "Basic Life Support certification" ], "timestamp" : "2026-06-15T12:40:18.587", "fingerprint" : "3a84255a0bb7eafae3b75c5c2b54c87e70f01d7b541687d9f15c0e84e505f68c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/6fda44f0-df62-464e-95ac-2a73b97f5927/application", "externalId" : "6fda44f0-df62-464e-95ac-2a73b97f5927", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mcalester", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.9334981,-95.7697934" } ], "locationText" : "Mcalester, Oklahoma, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer service excellence", "Professionalism", "Integrity", "Accountability", "Confidentiality", "Care", "Compassion", "Problem-solving", "Technologically savvy" ], "hardSkillsList" : [ "Phlebotomy", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs" ], "softSkillsList" : [ "Dependability", "Friendly", "Compassionate", "Empathetic" ], "hardSkills" : [ { "name" : "Phlebotomy", "level" : "intermediate" }, { "name" : "Specimen collection", "level" : "intermediate" }, { "name" : "Diabetic foot screenings", "level" : "intermediate" }, { "name" : "Retina exams", "level" : "intermediate" }, { "name" : "ECGs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependability" }, { "name" : "Friendly" }, { "name" : "Compassionate" }, { "name" : "Empathetic" } ], "majorSkills" : "Phlebotomy, Patient care, Home healthcare", "majorSkillsList" : [ "Phlebotomy", "Patient care", "Home healthcare" ], "coreResponsibilities" : "Capture diabetic retina images, Perform ECGs, Record using digital stethoscopes, Provide preventative care, Provide diagnostic services, Collect relevant information, Perform various services, Collect samples, Label samples properly, Coordinate sample drop off, Coordinate sample shipment", "domainKnowledge" : "HIPAA", "domainList" : [ "hipaa" ], "domainSpecificKnowledge" : [ "HIPAA" ], "toolProficiency" : [ "Mobile devices" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Charting", "continuousLearning" : "Advanced learning; Broaden skills; Integrate evidence based practices", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Reliable transportation, Use own vehicle, Climbing stairs, Carrying up to 20 pounds, National background check, DMV check, Clinical license search, Proof of vaccination", "qualificationsBasic" : "State required licensure, National certification, Basic Life Support certification, Valid Driver’s License, Current Vehicle Insurance, Previous experience in venipuncture", "qualificationsPreferred" : "Experience with mobile devices, Experience with HIPAA secure messaging apps, Interest in learning and advancing skill set", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us At Sprinter Health, our mission is to reimagine how people access care by bringing high-quality care directly into the home. Using the same technology that powers leading marketplace platforms, we deliver care where people are, especially those who need it most. We’ve supported millions of patients across 22 states and consistently maintained a 90+ NPS, reflecting the quality and experience we strive to deliver every day. Our clinical teams are at the center of making healthcare more accessible, connected, and personal. Where patient experience isn’t a metric. It’s a standard. About The Role Are you ready to be a part of the cutting-edge healthcare workforce at Sprinter Health? We're seeking dynamic full-time nurses, phlebotomists or medical assistants who are prepared to lead the way into the future of healthcare. As a Sprinter you'll tap into your medical expertise to provide a diverse array of preventative care and diagnostic services to patients in the comfort of their homes. Trainings will be offered to acquaint you with fresh and captivating services, encompassing tasks like capturing diabetic retina images, performing ECGs, recording using digital stethoscopes and more. Successful candidates will have previous experience in venipuncture, coupled with traits such as dependability, professionalism, problem-solving, and an unwavering commitment to customer service excellence. The role demands the ability to operate autonomously with an emphasis on exceptional quality. Sprinters will be on a path towards advanced learning and should be eager to broaden their skills and integrate the latest evidence based practices in their profession. Most importantly, we are seeking candidates who are friendly, compassionate, empathetic, and genuinely care about patients. A day in the life of a Sprinter … - Commencing the day… Your day will begin by ensuring that you have all of the proper supplies and PPE with you to care for that day’s patients - Navigating with ease… Using easy and modern technology, you will access your schedule for the day and commute to each patient’s home - Creating meaningful bonds… Once you have arrived, you will have the opportunity to make a warm and welcoming connection with a diverse range of patients as you prepare to collect relevant information and perform various services - Patient-centric, diagnostic and low acuity care…Your appointments will encompass an array of different services, including but not limited to phlebotomy, specimen collection, diabetic foot screenings, retina exams, ECGs and more! All services must be rendered in a manner that is comfortable and easy for the patient. - Sample collection and management… If samples are collected, you will ensure they are labeled properly and then coordinate drop off to the appropriate lab or shipment facility Skills and Requirements - Consistently exhibit the highest levels of professionalism, integrity, accountability, confidentiality, care and compassion to provide high quality health services - Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking - Technologically savvy and comfortable using tools such as mobile devices for charting and HIPAA secure messaging apps for care coordination - Strong communication skills; both written and verbal - Ability to work independently or in a team environment - Comfortable working with minimal supervisionInterest in learning and advancing your skill setReliable transportation as you will be using your own vehicle to travel to patient homes - Ability to physically access and navigate patient homes including but not limited to climbing stairs and carrying up to 20 pounds while walking - Pass national background check, DMV check, valid clinical license search To begin working with patients you will need to have … - State required licensure and/or proof of training - National certification for applicants in all states that do not have state level licensure requirements - Basic Life Support certification - Proof of completion of course/program or certification based on licensure level - Valid Driver’s License - Current Vehicle Insurance Proof of vaccination or immunity is required for the below: - COVID + booster (Primary Series + 1 Booster) - Measles/Mumps/Rubella (MMR) - Hepatitis B series - Varicella - TB test (within the past year) - Influenza (annual or signed exemption) - Tetanus/Diphtheria/Pertussis (TDaP - within past 10 years) Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today! Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com http://sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com http://sprinterhealth.com.", "summaryDescription" : "Mobile Phlebotomist at Sprinter Health. Skills: Phlebotomy, Patient care, Home healthcare. Capture diabetic retina images. Perform ECGs", "createdAt" : "2026-06-14T05:39:54.144", "lastUpdated" : "2026-06-15T12:40:18.587", "ingestTimestamp" : "2026-06-14T05:39:54.144", "mongoId" : "6a2ca03374d8ee00a09a1825", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 28, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Phlebotomy", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs", "Dependability", "Friendly", "Compassionate", "Empathetic", "Patient care", "Home healthcare", "Customer service excellence", "Professionalism", "Integrity", "Accountability", "Confidentiality", "Care", "Compassion", "Problem-solving", "Technologically savvy", "HIPAA", "Basic Life Support certification", "Mobile devices" ], "skillCount" : 23, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 655.45905, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a889bc74574cbbb51a0", "title" : "Software Development Engineer, AWS End User Messaging", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:02:02.552", "fingerprint" : "4872cc0d243d23ef85cd6f1a05bc003755ede1222a0b16b5bcc148d4ea6d884b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3193240/apply", "externalId" : "afcd4142-98a2-43b3-b58c-104a3535dd28", "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", "minimumEducation" : "Bachelor's", "technicalSkills" : "Java, Typescript, React, C#, C++, Perl", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Large-scale systems", "Multi-tiered applications", "Multi-threaded applications", "Embedded applications", "Distributed applications" ], "softSkillsList" : [ "Self-driven", "Deal with ambiguity", "Innovating", "Learn" ], "hardSkills" : [ { "name" : "Large-scale systems", "level" : "intermediate" }, { "name" : "Multi-tiered applications", "level" : "intermediate" }, { "name" : "Multi-threaded applications", "level" : "intermediate" }, { "name" : "Embedded applications", "level" : "intermediate" }, { "name" : "Distributed applications", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-driven" }, { "name" : "Deal with ambiguity" }, { "name" : "Innovating" }, { "name" : "Learn" } ], "majorSkills" : "Messaging systems, API development, Backend infrastructure", "majorSkillsList" : [ "Messaging systems", "API development", "Backend infrastructure" ], "coreResponsibilities" : "Design customer facing APIs, Build customer facing APIs, Launch customer facing APIs, Support customer facing APIs, Design backend infrastructure, Build backend infrastructure, Launch backend infrastructure, Support backend infrastructure, Design console experiences, Build console experiences, Launch console experiences, Support console experiences, Build and operate messaging systems", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "End User Messaging; AWS", "domainList" : [ "end-user-messaging", "aws" ], "domainSpecificKnowledge" : [ "End User Messaging", "AWS" ], "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Innovating", "problemSolvingSkills" : "Challenging integration problems", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, 1+ years large-scale application development experience, Bachelor's degree or foreign equivalent", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "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. AWS End User Messaging is hiring a software engineer to help accomplish this vision. We build and operate large scale messaging systems enabling developers to reach their customers via WhatsApp, Push (Apple, Google), SMS, and Voice. Chances are quite high you've received notifications that we've handled; we've delivered notifications at scale on behalf of our customers for everything from Prime Day, to COVID-19 test results, to major news events. Our newest channel, End User Messaging Social (WhatsApp), launched in 2024 and we're continuing to iterate and innovate as customer demand increases. Our roadmap is full, and our team is growing. We could use your help - join us! Key job responsibilities We are looking for people that are self-driven, able to deal with ambiguity, passionate about innovating, enjoy working on challenging front-end/back-end integration problems, and motivated to learn about a broad set of technologies. Comfort and skill using GenAI to generate production-quality code and automated processes is preferred. As an End User Messaging engineer, you will work with the team to design, build, launch and support customer facing APIs, backend infrastructure, and console experiences. Our services are built primarily in Java, along with a Typescript/React AWS console. About the team 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 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 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 - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field 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, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS End User Messaging at Amazon Development Center U.S., Inc.. Skills: Messaging systems, API development, Backend infrastructure. Design customer facing APIs. Build customer facing APIs", "postedDate" : "2026-06-13T13:56:42.241", "createdAt" : "2026-06-13T13:56:42.241", "lastUpdated" : "2026-06-15T02:02:02.552", "ingestTimestamp" : "2026-06-13T13:56:42.241", "mongoId" : "69c94a889bc74574cbbb51a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193240/apply", "salaryAnnualMin" : 143000, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Large-scale systems", "Multi-tiered applications", "Multi-threaded applications", "Embedded applications", "Distributed applications", "Self-driven", "Deal with ambiguity", "Innovating", "Learn", "Messaging systems", "API development", "Backend infrastructure", "System design", "Architecture", "End User Messaging", "AWS" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 654.9291, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca03374d8ee00a09a1839", "title" : "Mobile Phlebotomist", "company" : "Sprinter Health", "industry" : "Sprinter Medical", "salary" : { "min" : 25.0, "max" : 29.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Syracuse, NY", "locations" : [ "Syracuse, NY" ], "certifications" : [ "Basic Life Support certification" ], "timestamp" : "2026-06-15T11:56:33.193", "fingerprint" : "944aeb760e64e082a684f025cdb619fcc33994b80c3e205438368e4ef5c174e7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/edb3ee54-fb1d-4481-9df7-925dc113a99f/application", "externalId" : "edb3ee54-fb1d-4481-9df7-925dc113a99f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Syracuse", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0481221,-76.1474244" } ], "locationText" : "Syracuse, New York, United States", "employmentType" : "TEMPORARY", "professionalSkills" : [ "Customer service excellence", "Problem-solving", "Professionalism", "Integrity", "Accountability", "Confidentiality", "Care", "Compassion" ], "hardSkillsList" : [ "Phlebotomy", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs" ], "softSkillsList" : [ "Dependability", "Friendly", "Compassionate", "Empathetic" ], "hardSkills" : [ { "name" : "Phlebotomy", "level" : "intermediate" }, { "name" : "Specimen collection", "level" : "intermediate" }, { "name" : "Diabetic foot screenings", "level" : "intermediate" }, { "name" : "Retina exams", "level" : "intermediate" }, { "name" : "ECGs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependability" }, { "name" : "Friendly" }, { "name" : "Compassionate" }, { "name" : "Empathetic" } ], "majorSkills" : "Phlebotomy, Patient care, Diagnostic services", "majorSkillsList" : [ "Phlebotomy", "Patient care", "Diagnostic services" ], "coreResponsibilities" : "Provide preventative care, Provide diagnostic services, Capture diabetic retina images, Perform ECGs, Record using digital stethoscopes, Collect samples, Label samples properly, Coordinate sample drop off, Coordinate sample shipment", "teamCollaboration" : "Work independently; Work in a team environment", "domainKnowledge" : "Patient care; Preventative care; Diagnostic services", "domainList" : [ "patient-care", "preventative-care", "diagnostic-services" ], "domainSpecificKnowledge" : [ "Patient care", "Preventative care", "Diagnostic services" ], "toolProficiency" : [ "Mobile devices" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Charting", "continuousLearning" : "Advanced learning; Broaden skills; Integrate evidence based practices", "innovationCreativity" : "Out of the box thinking", "problemSolvingSkills" : "Problem solving; Last minute problem solving", "specialRequirements" : "Reliable transportation, Use own vehicle, Climbing stairs, Carrying up to 20 pounds, Pass national background check, Pass DMV check, Valid clinical license search", "qualificationsBasic" : "State required licensure, National certification, Basic Life Support certification, Valid Driver’s License, Current Vehicle Insurance, Previous experience in venipuncture", "qualificationsPreferred" : "Experience with diabetic retina images, Experience performing ECGs, Experience recording using digital stethoscopes", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us At Sprinter Health, our mission is to reimagine how people access care by bringing high-quality care directly into the home. Using the same technology that powers leading marketplace platforms, we deliver care where people are, especially those who need it most. We’ve supported millions of patients across 22 states and consistently maintained a 90+ NPS, reflecting the quality and experience we strive to deliver every day. Our clinical teams are at the center of making healthcare more accessible, connected, and personal. Where patient experience isn’t a metric. It’s a standard. This is a temporary position. About The Role Are you ready to be a part of the cutting-edge healthcare workforce at Sprinter Health? We're seeking dynamic full-time nurses, phlebotomists or medical assistants who are prepared to lead the way into the future of healthcare. As a Sprinter you'll tap into your medical expertise to provide a diverse array of preventative care and diagnostic services to patients in the comfort of their homes. Trainings will be offered to acquaint you with fresh and captivating services, encompassing tasks like capturing diabetic retina images, performing ECGs, recording using digital stethoscopes and more. Successful candidates will have previous experience in venipuncture, coupled with traits such as dependability, professionalism, problem-solving, and an unwavering commitment to customer service excellence. The role demands the ability to operate autonomously with an emphasis on exceptional quality. Sprinters will be on a path towards advanced learning and should be eager to broaden their skills and integrate the latest evidence based practices in their profession. Most importantly, we are seeking candidates who are friendly, compassionate, empathetic, and genuinely care about patients. A day in the life of a Sprinter … - Commencing the day… Your day will begin by ensuring that you have all of the proper supplies and PPE with you to care for that day’s patients - Navigating with ease… Using easy and modern technology, you will access your schedule for the day and commute to each patient’s home - Creating meaningful bonds… Once you have arrived, you will have the opportunity to make a warm and welcoming connection with a diverse range of patients as you prepare to collect relevant information and perform various services - Patient-centric, diagnostic and low acuity care…Your appointments will encompass an array of different services, including but not limited to phlebotomy, specimen collection, diabetic foot screenings, retina exams, ECGs and more! All services must be rendered in a manner that is comfortable and easy for the patient. - Sample collection and management… If samples are collected, you will ensure they are labeled properly and then coordinate drop off to the appropriate lab or shipment facility Skills and Requirements - Consistently exhibit the highest levels of professionalism, integrity, accountability, confidentiality, care and compassion to provide high quality health services - Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking - Technologically savvy and comfortable using tools such as mobile devices for charting and HIPAA secure messaging apps for care coordination - Strong communication skills; both written and verbal - Ability to work independently or in a team environment - Comfortable working with minimal supervisionInterest in learning and advancing your skill setReliable transportation as you will be using your own vehicle to travel to patient homes - Ability to physically access and navigate patient homes including but not limited to climbing stairs and carrying up to 20 pounds while walking - Pass national background check, DMV check, valid clinical license search To begin working with patients you will need to have … - State required licensure and/or proof of training - National certification for applicants in all states that do not have state level licensure requirements - Basic Life Support certification - Proof of completion of course/program or certification based on licensure level - Valid Driver’s License - Current Vehicle Insurance Proof of vaccination or immunity is required for the below: - COVID + booster (Primary Series + 1 Booster) - Measles/Mumps/Rubella (MMR) - Hepatitis B series - Varicella - TB test (within the past year) - Influenza (annual or signed exemption) - Tetanus/Diphtheria/Pertussis (TDaP - within past 10 years) Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today! Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com http://sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com http://sprinterhealth.com.", "summaryDescription" : "Mobile Phlebotomist at Sprinter Health. Skills: Phlebotomy, Patient care, Diagnostic services. Provide preventative care. Provide diagnostic services", "createdAt" : "2026-06-14T04:03:15.982", "lastUpdated" : "2026-06-15T11:56:33.193", "ingestTimestamp" : "2026-06-14T04:03:15.982", "mongoId" : "6a2ca03374d8ee00a09a1839", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 29, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Phlebotomy", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs", "Dependability", "Friendly", "Compassionate", "Empathetic", "Patient care", "Diagnostic services", "Customer service excellence", "Problem-solving", "Professionalism", "Integrity", "Accountability", "Confidentiality", "Care", "Compassion", "Preventative care", "Basic Life Support certification", "Mobile devices" ], "skillCount" : 22, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 654.7638, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e199bc74574cb674d38", "title" : "Mobile Mechanic", "industry" : "Manufacturing", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Mobile Mechanic in Westwood, Canada, adjusted for the mining industry and full-time employment." }, "location" : "21 - Westwood Mine Site", "locations" : [ "21 - Westwood Mine Site", "
21 - Westwood Mine Site (21 - Westwood Mine Site)
Westwood Mine Site
Preissac
Rouyn-Noranda, J9X 5C8

" ], "certifications" : [ "Valid explosives permit" ], "timestamp" : "2026-06-15T05:09:42.488", "fingerprint" : "6ad499e2936064e7cbf6b427d9567ab8daaef2ecfbfaad7091e4ba75d113d1d4", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57585", "externalId" : "57585", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westwood", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "53.5761207,-113.4983750" } ], "locationText" : "Westwood, Canada", "minimumEducation" : "Vocational diploma (DEP)", "experienceMinYears" : 2, "hardSkillsList" : [ "Manual dexterity" ], "hardSkills" : [ { "name" : "Manual dexterity", "level" : "intermediate" } ], "majorSkills" : "Mobile equipment maintenance", "majorSkillsList" : [ "Mobile equipment maintenance" ], "coreResponsibilities" : "Perform maintenance on mobile equipment, Ensure equipment proper function, Carry out tasks according to procedures, Perform planned maintenance, Ensure upkeep and maintenance of fleet, Maintain surface operations, Maintain underground operations", "teamCollaboration" : "Teamwork as key values", "domainKnowledge" : "Mining operations", "domainList" : [ "mining-operations" ], "domainSpecificKnowledge" : [ "Mining operations" ], "problemSolvingSkills" : "Analytical mind", "specialRequirements" : "Work at Westwood Mine Site, Obtain explosives permit", "outcomesObjectives" : "Maintain good operations", "qualificationsBasic" : "Vocational diploma (DEP) in mechanics, 2 years of relevant experience, Good manual dexterity, Autonomy and ability to work, Ability to make decisions, Sharp analytical mind, Valid explosives permit", "qualificationsPreferred" : "Modular mining worker training", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under the supervision of the mobile maintenance supervisor, the mechanic: • Performs maintenance on mobile equipment and ensures their proper functioning; • Carries out tasks according to proper procedures and safely; • Performs planned maintenance and work; • Ensures the upkeep and maintenance of a large fleet of highly diverse equipment to maintain good surface and underground operations. • Holds a vocational diploma (DEP) in mechanics or equivalent; • Has a minimum of 2 years of relevant experience; • Possesses good manual skills; • Demonstrates autonomy and strong ability to work in a team; • Ability to make certain decisions and has a sharp analytical capacity; • Prioritizes health and safety as well as teamwork as key values at work; • Possession of modular mining worker training is considered an asset; • Holds a valid explosives permit or can obtain one. Canada", "summaryDescription" : "Mobile Mechanic. Skills: Mobile equipment maintenance. Perform maintenance on mobile equipment. Ensure equipment proper function", "createdAt" : "2026-06-14T06:43:44.203", "lastUpdated" : "2026-06-15T05:09:42.488", "ingestTimestamp" : "2026-06-14T06:43:44.203", "mongoId" : "69ce5e199bc74574cb674d38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Manual dexterity", "Mobile equipment maintenance", "Mining operations", "Valid explosives permit" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "_score" : 654.53754, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca03374d8ee00a09a184c", "title" : "Mobile Phlebotomist", "company" : "Sprinter Health", "industry" : "Sprinter Medical", "salary" : { "min" : 24.0, "max" : 28.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Traverse City, MI", "locations" : [ "Traverse City, MI", "Kalkaska, MI" ], "certifications" : [ "Basic Life Support certification" ], "timestamp" : "2026-06-15T08:14:04.283", "fingerprint" : "76aed1411f56f19e1a57546219eb4c51025d7ccd429825cad406be09e7be83c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/ab8439f3-314e-44ec-8acd-a627f6f47d88/application", "externalId" : "ab8439f3-314e-44ec-8acd-a627f6f47d88", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Traverse City", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.7606481,-85.6165976" } ], "locationText" : "Traverse City, Michigan, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Customer service excellence", "Problem-solving", "Confidentiality", "Accountability", "Integrity", "Care", "Compassion" ], "hardSkillsList" : [ "Venipuncture", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs" ], "softSkillsList" : [ "Dependability", "Compassionate", "Empathetic" ], "hardSkills" : [ { "name" : "Venipuncture", "level" : "intermediate" }, { "name" : "Specimen collection", "level" : "intermediate" }, { "name" : "Diabetic foot screenings", "level" : "intermediate" }, { "name" : "Retina exams", "level" : "intermediate" }, { "name" : "ECGs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependability" }, { "name" : "Compassionate" }, { "name" : "Empathetic" } ], "majorSkills" : "Phlebotomy, Patient care, Diagnostic services", "majorSkillsList" : [ "Phlebotomy", "Patient care", "Diagnostic services" ], "coreResponsibilities" : "Provide preventative care, Provide diagnostic services, Capture diabetic retina images, Perform ECGs, Record using digital stethoscopes, Ensure proper supplies and PPE, Access schedule for the day, Commute to patient's home, Make a warm connection, Collect relevant information, Perform various services, Render services comfortably, Label samples properly, Coordinate sample drop off", "domainKnowledge" : "HIPAA", "domainList" : [ "hipaa" ], "domainSpecificKnowledge" : [ "HIPAA" ], "toolProficiency" : [ "Mobile devices" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Charting", "continuousLearning" : "Advanced learning; Broaden skills; Integrate evidence based practices", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Reliable transportation, Use own vehicle, Climbing stairs, Carrying up to 20 pounds, National background check, DMV check, Valid clinical license search, Proof of vaccination or immunity", "qualificationsBasic" : "State required licensure, National certification, Basic Life Support certification, Valid Driver’s License, Current Vehicle Insurance, Previous experience in venipuncture", "qualificationsPreferred" : "Experience in phlebotomy, Experience in medical assisting, Experience in nursing", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us At Sprinter Health, our mission is to reimagine how people access care by bringing high-quality care directly into the home. Using the same technology that powers leading marketplace platforms, we deliver care where people are, especially those who need it most. We’ve supported millions of patients across 22 states and consistently maintained a 90+ NPS, reflecting the quality and experience we strive to deliver every day. Our clinical teams are at the center of making healthcare more accessible, connected, and personal. Where patient experience isn’t a metric. It’s a standard. About The Role Are you ready to be a part of the cutting-edge healthcare workforce at Sprinter Health? We're seeking dynamic full-time nurses, phlebotomists or medical assistants who are prepared to lead the way into the future of healthcare. As a Sprinter you'll tap into your medical expertise to provide a diverse array of preventative care and diagnostic services to patients in the comfort of their homes. Trainings will be offered to acquaint you with fresh and captivating services, encompassing tasks like capturing diabetic retina images, performing ECGs, recording using digital stethoscopes and more. Successful candidates will have previous experience in venipuncture, coupled with traits such as dependability, professionalism, problem-solving, and an unwavering commitment to customer service excellence. The role demands the ability to operate autonomously with an emphasis on exceptional quality. Sprinters will be on a path towards advanced learning and should be eager to broaden their skills and integrate the latest evidence based practices in their profession. Most importantly, we are seeking candidates who are friendly, compassionate, empathetic, and genuinely care about patients. A day in the life of a Sprinter … - Commencing the day… Your day will begin by ensuring that you have all of the proper supplies and PPE with you to care for that day’s patients - Navigating with ease… Using easy and modern technology, you will access your schedule for the day and commute to each patient’s home - Creating meaningful bonds… Once you have arrived, you will have the opportunity to make a warm and welcoming connection with a diverse range of patients as you prepare to collect relevant information and perform various services - Patient-centric, diagnostic and low acuity care…Your appointments will encompass an array of different services, including but not limited to phlebotomy, specimen collection, diabetic foot screenings, retina exams, ECGs and more! All services must be rendered in a manner that is comfortable and easy for the patient. - Sample collection and management… If samples are collected, you will ensure they are labeled properly and then coordinate drop off to the appropriate lab or shipment facility Skills and Requirements - Consistently exhibit the highest levels of professionalism, integrity, accountability, confidentiality, care and compassion to provide high quality health services - Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking - Technologically savvy and comfortable using tools such as mobile devices for charting and HIPAA secure messaging apps for care coordination - Strong communication skills; both written and verbal - Ability to work independently or in a team environment - Comfortable working with minimal supervisionInterest in learning and advancing your skill setReliable transportation as you will be using your own vehicle to travel to patient homes - Ability to physically access and navigate patient homes including but not limited to climbing stairs and carrying up to 20 pounds while walking - Pass national background check, DMV check, valid clinical license search To begin working with patients you will need to have … - State required licensure and/or proof of training - National certification for applicants in all states that do not have state level licensure requirements - Basic Life Support certification - Proof of completion of course/program or certification based on licensure level - Valid Driver’s License - Current Vehicle Insurance Proof of vaccination or immunity is required for the below: (Vaccines are recommended NOT required) - COVID + booster (Primary Series + 1 Booster) - Measles/Mumps/Rubella (MMR) - Hepatitis B series - Varicella - TB test (within the past year) - Influenza (annual or signed exemption) - Tetanus/Diphtheria/Pertussis (TDaP - within past 10 years) Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today! Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com http://sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com http://sprinterhealth.com.", "summaryDescription" : "Mobile Phlebotomist at Sprinter Health. Skills: Phlebotomy, Patient care, Diagnostic services. Provide preventative care. Provide diagnostic services", "createdAt" : "2026-06-14T03:12:46.502", "lastUpdated" : "2026-06-15T08:14:04.283", "ingestTimestamp" : "2026-06-14T03:12:46.502", "mongoId" : "6a2ca03374d8ee00a09a184c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 28, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Venipuncture", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs", "Dependability", "Compassionate", "Empathetic", "Phlebotomy", "Patient care", "Diagnostic services", "Customer service excellence", "Problem-solving", "Confidentiality", "Accountability", "Integrity", "Care", "Compassion", "HIPAA", "Basic Life Support certification", "Mobile devices" ], "skillCount" : 21, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 654.3725, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca03374d8ee00a09a182f", "title" : "Mobile Phlebotomist", "company" : "Sprinter Health", "industry" : "Sprinter Medical", "salary" : { "min" : 25.0, "max" : 29.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Front Royal, VA", "locations" : [ "Front Royal, VA" ], "certifications" : [ "Basic Life Support certification" ], "timestamp" : "2026-06-15T05:26:05.458", "fingerprint" : "7cd9b1f05aad825435e2eab0b3a3dee802c0421592da1337b0f8077e67742ecd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/6ea9d2ab-ad0e-4d94-8a4a-240fdd94c9a5/application", "externalId" : "6ea9d2ab-ad0e-4d94-8a4a-240fdd94c9a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Front Royal", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9179069,-78.1918077" } ], "locationText" : "Front Royal, Virginia, United States", "employmentType" : "TEMPORARY", "professionalSkills" : [ "Customer service excellence", "Problem-solving", "Professionalism", "Integrity", "Accountability", "Confidentiality", "Care", "Compassion" ], "hardSkillsList" : [ "Phlebotomy", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs" ], "softSkillsList" : [ "Dependability", "Friendliness", "Compassion" ], "hardSkills" : [ { "name" : "Phlebotomy", "level" : "intermediate" }, { "name" : "Specimen collection", "level" : "intermediate" }, { "name" : "Diabetic foot screenings", "level" : "intermediate" }, { "name" : "Retina exams", "level" : "intermediate" }, { "name" : "ECGs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Dependability" }, { "name" : "Friendliness" }, { "name" : "Compassion" } ], "majorSkills" : "Phlebotomy, Patient care, Diagnostic services", "majorSkillsList" : [ "Phlebotomy", "Patient care", "Diagnostic services" ], "coreResponsibilities" : "Ensure proper supplies and PPE, Access schedule using technology, Commute to patient homes, Make warm and welcoming connection, Prepare to collect relevant information, Perform various services, Render services comfortably for patient, Label samples properly, Coordinate sample drop off, Coordinate sample shipment", "teamCollaboration" : "Work independently; Work in a team", "domainKnowledge" : "Preventative care; Diagnostic services", "domainList" : [ "preventative-care", "diagnostic-services" ], "domainSpecificKnowledge" : [ "Preventative care", "Diagnostic services" ], "toolProficiency" : [ "Mobile devices" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Charting", "continuousLearning" : "Advanced learning; Broaden skills; Integrate evidence based practices", "innovationCreativity" : "Out of the box thinking", "problemSolvingSkills" : "Problem solving; Last minute problem solving", "specialRequirements" : "Use own vehicle, Climbing stairs, Carrying up to 20 pounds, Pass national background check, Pass DMV check, Pass valid clinical license search", "qualificationsBasic" : "State required licensure, National certification, Basic Life Support certification, Valid Driver’s License, Current Vehicle Insurance, Previous experience in venipuncture", "qualificationsPreferred" : "Experience with mobile devices, Experience with HIPAA secure messaging apps", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us At Sprinter Health, our mission is to reimagine how people access care by bringing high-quality care directly into the home. Using the same technology that powers leading marketplace platforms, we deliver care where people are, especially those who need it most. We’ve supported millions of patients across 22 states and consistently maintained a 90+ NPS, reflecting the quality and experience we strive to deliver every day. Our clinical teams are at the center of making healthcare more accessible, connected, and personal. Where patient experience isn’t a metric. It’s a standard. This is a temporary position. About The Role Are you ready to be a part of the cutting-edge healthcare workforce at Sprinter Health? We're seeking dynamic full-time nurses, phlebotomists or medical assistants who are prepared to lead the way into the future of healthcare. As a Sprinter you'll tap into your medical expertise to provide a diverse array of preventative care and diagnostic services to patients in the comfort of their homes. Trainings will be offered to acquaint you with fresh and captivating services, encompassing tasks like capturing diabetic retina images, performing ECGs, recording using digital stethoscopes and more. Successful candidates will have previous experience in venipuncture, coupled with traits such as dependability, professionalism, problem-solving, and an unwavering commitment to customer service excellence. The role demands the ability to operate autonomously with an emphasis on exceptional quality. Sprinters will be on a path towards advanced learning and should be eager to broaden their skills and integrate the latest evidence based practices in their profession. Most importantly, we are seeking candidates who are friendly, compassionate, empathetic, and genuinely care about patients. A day in the life of a Sprinter … - Commencing the day… Your day will begin by ensuring that you have all of the proper supplies and PPE with you to care for that day’s patients - Navigating with ease… Using easy and modern technology, you will access your schedule for the day and commute to each patient’s home - Creating meaningful bonds… Once you have arrived, you will have the opportunity to make a warm and welcoming connection with a diverse range of patients as you prepare to collect relevant information and perform various services - Patient-centric, diagnostic and low acuity care…Your appointments will encompass an array of different services, including but not limited to phlebotomy, specimen collection, diabetic foot screenings, retina exams, ECGs and more! All services must be rendered in a manner that is comfortable and easy for the patient. - Sample collection and management… If samples are collected, you will ensure they are labeled properly and then coordinate drop off to the appropriate lab or shipment facility Skills and Requirements - Consistently exhibit the highest levels of professionalism, integrity, accountability, confidentiality, care and compassion to provide high quality health services - Willing to work in a revolutionary environment that sometimes necessitates last minute problem solving and out of the box thinking - Technologically savvy and comfortable using tools such as mobile devices for charting and HIPAA secure messaging apps for care coordination - Strong communication skills; both written and verbal - Ability to work independently or in a team environment - Comfortable working with minimal supervisionInterest in learning and advancing your skill setReliable transportation as you will be using your own vehicle to travel to patient homes - Ability to physically access and navigate patient homes including but not limited to climbing stairs and carrying up to 20 pounds while walking - Pass national background check, DMV check, valid clinical license search To begin working with patients you will need to have … - State required licensure and/or proof of training - National certification for applicants in all states that do not have state level licensure requirements - Basic Life Support certification - Proof of completion of course/program or certification based on licensure level - Valid Driver’s License - Current Vehicle Insurance Proof of vaccination or immunity is required for the below: - COVID + booster (Primary Series + 1 Booster) - Measles/Mumps/Rubella (MMR) - Hepatitis B series - Varicella - TB test (within the past year) - Influenza (annual or signed exemption) - Tetanus/Diphtheria/Pertussis (TDaP - within past 10 years) Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today! Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com http://sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com http://sprinterhealth.com.", "summaryDescription" : "Mobile Phlebotomist at Sprinter Health. Skills: Phlebotomy, Patient care, Diagnostic services. Ensure proper supplies and PPE. Access schedule using technology", "createdAt" : "2026-06-14T06:41:15.734", "lastUpdated" : "2026-06-15T05:26:05.458", "ingestTimestamp" : "2026-06-14T06:41:15.734", "mongoId" : "6a2ca03374d8ee00a09a182f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 29, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Phlebotomy", "Specimen collection", "Diabetic foot screenings", "Retina exams", "ECGs", "Dependability", "Friendliness", "Compassion", "Patient care", "Diagnostic services", "Customer service excellence", "Problem-solving", "Professionalism", "Integrity", "Accountability", "Confidentiality", "Care", "Preventative care", "Basic Life Support certification", "Mobile devices" ], "skillCount" : 20, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 653.7673, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 16498, "totalPages" : 330, "hasNext" : true, "hasPrevious" : false } }

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