{ "count" : 71750, "data" : [ { "id" : "6a2ca49074d8ee00a09b2583", "title" : "Approved Mental Health Professional", "company" : "Liquid Personnel", "industry" : "Healthcare", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Approved Mental Health Professional in Herefordshire, United Kingdom, adjusted for the healthcare industry." }, "location" : "57 Spring Gardens, Manchester, M2 2BY", "locations" : [ "57 Spring Gardens", "Manchester", "M2 2BY" ], "certifications" : [ "Approved Mental Health Professional qualification", "Social Worker registration" ], "timestamp" : "2026-06-15T13:31:07.812", "fingerprint" : "68c1c70f495cf7adaaa736dcc1fed3fcba1807aca79f81f0369748b01c5cbbea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/liquidpersonnel/jobs/7769378003", "externalId" : "7769378003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "domainKnowledge" : "Mental Health Act; Mental Capacity Act; Care Act; Safeguarding legislation", "domainList" : [ "mental-health-act", "mental-capacity-act", "care-act", "safeguarding-legislation" ], "domainSpecificKnowledge" : [ "Mental Health Act", "Mental Capacity Act", "Care Act", "Safeguarding legislation" ], "communicationSkills" : "Communication skills; Interpersonal skills; Report writing; Legal documentation", "documentationSkills" : "Report writing; Legal documentation", "workSiteFlexibility" : "Flexible", "rawDescription" : "Liquid Personnel is recruiting Approved Mental Health Professional (AMHP) for its client's Mental Health Team / AMHP Service in Herefordshire. This is an excellent opportunity to work within a small, friendly, and highly collaborative team that values professional autonomy, reflective practice, and strong peer support. The service plays a vital role in safeguarding vulnerable individuals within the community, supporting practitioners to make legally sound and ethically grounded decisions in complex and high-risk situations. You will be part of a values-driven team that promotes wellbeing, shared learning, and a positive working environment, where no practitioner carries difficult decisions alone. What will your responsibilities be? Undertaking Mental Health Act (MHA) assessments and fulfilling duties as an Approved Mental Health Professional. Making complex, high-risk decisions in line with legal frameworks, ensuring the protection of service users’ rights and wellbeing. Applying strong knowledge of the Mental Health Act, Mental Capacity Act, Care Act, and safeguarding legislation in practice. Triaging referrals and managing urgent and complex mental health cases effectively. Preparing and completing high-quality AMHP reports and associated legal documentation. Working collaboratively with Mental Health Teams, medical professionals, and partner agencies. Promoting and upholding the human rights of individuals in all decision-making processes. Participating in reflective practice, supervision, and team learning activities. Supporting a culture of peer support, shared responsibility, and professional integrity. Ensuring safe lone working practices in line with service procedures. Qualifications & Experience: To be successful in this role you must have, • Professional Qualification: Qualified Social Worker (CQSW, DipSW, BA, BSc, MA in Social Work or equivalent). • Registration: Must be registered with Social Work England. • AMHP Status: Must hold an Approved Mental Health Professional qualification. • Experience: Minimum 1 year post-qualification experience as an AMHP. Experience assessing a range of client groups within mental health services. Experience undertaking Mental Health Act assessments and managing complex risk. • Knowledge: Strong working knowledge of the Mental Health Act, Mental Capacity Act, Care Act, and safeguarding frameworks. Strong understanding of human rights and their application in mental health practice. • Skills: Excellent decision-making and analytical skills in complex situations. Strong communication and interpersonal skills. Ability to work autonomously while contributing effectively within a team. High standard of report writing and legal documentation. Ability to manage pressure and respond effectively in high-risk situations. Why Liquid Personnel? Free DBS and compliance service Twice weekly payroll and ‘Faster Pay’ service, getting you paid more quickly Access to exclusive roles that aren’t available from other agencies Free access to Liquid’s exclusive social work training and CPD portal Your own dedicated consultant with extensive social work knowledge Access to a wide selection of social work positions across the UK “Refer a Friend” bonus – get £500 for each social worker you refer who we successfully place* “Find your own job” bonus – get £250 for bringing your own position to us * Liquid Personnel is an equal opportunities employer. Liquid Personnel Ltd is acting as an Employment Business in relation to this vacancy. * Terms and conditions apply to our bonus schemes. Reasonable Adjustments: If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity by contacting our team. With this information, we will provide appropriate support to you throughout the process and into your work placement. We are unable to support or accept applications from candidates who are residents within the Red or Amber list of the Code of practice for the international recruitment of health and social care personnel in England, based on the World Health Organisation (WHO) Workforce Support and Safeguard List. 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and run weekly operating cadence, Align portfolio company leadership teams, Partner with CEO and operating partner, Own highest-impact execution workstreams, Grab cross-functional projects, Run cross-functional projects to completion, Run operating conversations, Run offsites, Run diagnostic exercises, Move across portfolio companies, Embed at newly acquired companies, Translate strategy into operating discipline, Unlock value creation velocity", "teamCollaboration" : "Portfolio company leadership teams; CEO; Operating partner; Cross-functional projects; Management teams", "projectManagementSkills" : [ "Execution workstreams" ], "domainKnowledge" : "Software businesses; Category-defining software; SaaS; Fintech; Enterprise software", "domainList" : [ "software-businesses", "category-defining-software", "saas", "fintech", "enterprise-software" ], "domainSpecificKnowledge" : [ "Software businesses", "Category-defining software", "SaaS", "Fintech", "Enterprise software" ], "toolProficiency" : [ "Dashboards" ], "communicationSkills" : "CEO conversations", "documentationSkills" : "Operating artifact", "continuousLearning" : "Hungry to learn", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Diagnostic exercises", "specialRequirements" : "Onsite presence at portfolio company locations", "outcomesObjectives" : "Unlock value creation velocity; Drive sustainable ARR growth; Drive profitability improvements; Achieve industry-leading customer outcomes", "qualificationsBasic" : "7+ years hands-on operating role, Running a P&L, Owning meaningful operational scope, Early foundation in banking or management consulting, Transition into software or PE-backed operating role, Real commercial exposure, Personally sold, Owned a revenue line, Driven a sales process redesign, Hold a P&L conversation without notes, Ship the 80% version of an operating artifact, Comfortable moving between strategy-level CEO conversations and tactical execution, Think in metrics, Build dashboards to track progress, Make decisions based on data, Proven track record proving yourself, Hungry to learn", "qualificationsPreferred" : "MBA from a top-tier program, Equivalent scrappy startup experience, High-growth operating experience, Prior experience as an operating partner, Prior experience as COO, Prior experience as Chief of Staff, Prior experience as strategic advisor to PE portfolio company, Vertical expertise in SaaS, Vertical expertise in fintech, Vertical expertise in enterprise software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. We invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks. Emergence combines operational rigor with a growth equity mindset, driving sustainable ARR growth, profitability improvements, and industry-leading customer outcomes. The Mission Embed at newly acquired companies to translate strategy into operating discipline and unlock value creation velocity. What You'll Do - Design and run the weekly operating cadence with KPIs, business reviews, and accountability loops from day one. - Align portfolio company leadership teams to the same scorecard and targets the deal team modeled at close. - Partner with the CEO and operating partner on the value creation plan, then own highest-impact execution workstreams. - Grab cross-functional projects that fall between silos (go-to-market refinement, organizational restructuring, integration work) and run them to completion. - Run the operating conversations, offsites, and diagnostic exercises the CEO needs but lacks time to organize. - Move across portfolio companies as post-close needs shift, rotating between deep operational embedding and strategic board-level support. What We're Looking For Must-haves - 7+ years hands-on operating role running a P&L or owning meaningful operational scope. - Early foundation in banking or management consulting, then transition into software or PE-backed operating role. - Real commercial exposure: you have personally sold, owned a revenue line, or driven a sales process redesign. - Ability to hold a P&L conversation without notes and ship the 80% version of an operating artifact. - Named a situation where things broke at work, explained your response, and articulated how it changed your approach. - Comfortable moving between strategy-level CEO conversations and tactical execution on a sales floor in the same day. - Think in metrics, build dashboards to track progress, and make decisions based on data. - Proven track record proving yourself - haven't yet reached C-level but striving to get there. - Hungry to learn on the job; don't need formal multi-week training programs. Nice-to-haves - MBA from a top-tier program or equivalent scrappy startup or high-growth operating experience. - Prior experience as an operating partner, COO, Chief of Staff, or strategic advisor to a PE portfolio company. - Vertical expertise in SaaS, fintech, or enterprise software that accelerates diagnostics. Who You Are You have spent years inside operating roles where real money was at stake and real customers depended on your execution. You are comfortable with ambiguity and you move fast without needing permission. You build systems others can run without you. You hire people smarter than you in their domain and you defer to their judgment. You pull data into conversations, not opinions. You reverse course when evidence contradicts your recommendation. You audit critical processes yourself rather than accepting management assertions. You establish standards and enforce them. You've seen things go wrong at work and stayed composed. You want to lead a business someday, and you see this role as the accelerant to get there. What We Offer - Attractive Salary plus performance bonus. - Equity upside aligned with the portfolio companies you help scale. - Based in New York with onsite presence at portfolio company locations. - You will work across multiple businesses and gain broad operating experience faster than most traditional corporate roles allow.", "summaryDescription" : "Operating Partner at Emergence. Skills: Operating discipline, Value creation, Execution, Metrics-driven decision making. Design and run weekly operating cadence. 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You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one — you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership — as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth — we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact — you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily — primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components — agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt — fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing — design docs, pull request descriptions, and operational reviews - Learn continuously — stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems, real ownership, and a steep learning curve, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture 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 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 - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques 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 building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 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", "summaryDescription" : "Software Development Engineer, Products and Solutions at Amazon.com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:13.424", "lastUpdated" : "2026-06-16T11:58:41.991", "ingestTimestamp" : "2026-06-16T01:54:13.424", "mongoId" : "6a30753df292fd229c00d6cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449377/apply", "salaryAnnualMin" : 158000, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753df292fd229c00d6cb", "title" : "Software Development Engineer, Products and Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "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" : "2026-06-16T13:20:15.682", "fingerprint" : "4f087b151a441e33b50f47054100ad95c67e37e844adcdcfd9b07a79d3c52ea5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449378/apply", "externalId" : "8bb0ca9b-3e12-4837-886c-f563ef49bbf6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who's ready to grow fast in a small, high-ownership team. You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one — you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership — as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth — we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact — you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily — primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components — agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt — fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing — design docs, pull request descriptions, and operational reviews - Learn continuously — stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems, real ownership, and a steep learning curve, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture 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 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 - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques 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 building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 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", "summaryDescription" : "Software Development Engineer, Products and Solutions at Amazon Web Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:43.347", "lastUpdated" : "2026-06-16T13:20:15.682", "ingestTimestamp" : "2026-06-16T01:53:43.347", "mongoId" : "6a30753df292fd229c00d6cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449378/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d97d274d8ee00a0c4e7fa", "title" : "Manager, Products and Solutions", "company" : "Mastercard", "industry" : "FinTech", "salary" : { "min" : 750000.0, "max" : 1100000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in FinTech in Johannesburg, South Africa, adjusted for seniority and company size." }, "location" : "Johannesburg, South Africa", "locations" : [ "Johannesburg, South Africa" ], "timestamp" : "2026-06-16T00:45:53.184", "fingerprint" : "b25b100a7374bc2294e8dc89d49a2ea7c5008a6f0c40946cb0a7706e56d0644b", "source" : "workday", "language" : "en", "applyUrl" : "https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Johannesburg-South-Africa/Manager--Products-and-Solutions_R-277283", "externalId" : "R-277283", "industryFunction" : { }, "locationPoint" : "-26.20227,28.04363", "structuredLocations" : [ { "city" : "Johannesburg", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-26.2050000,28.0497220" } ], "locationText" : "Johannesburg, South Africa", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Sales strategies", "Market intelligence", "Market requirements", "Financial modeling", "Business cases", "Contract development", "Solution implementation", "Presentation development" ], "hardSkillsList" : [ "Sales goals achievement", "Pipeline management", "Customer data analysis" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Sales goals achievement", "level" : "intermediate" }, { "name" : "Pipeline management", "level" : "intermediate" }, { "name" : "Customer data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Payment Gateway Sales, Fraud Solutions Sales", "majorSkillsList" : [ "Payment Gateway Sales", "Fraud Solutions Sales" ], "coreResponsibilities" : "Develop sales strategies, Execute sales strategies, Achieve sales objectives, Achieve revenue objectives, Achieve profit objectives, Provide subject matter expertise, Leverage integrated solutions, Drive sales goals, Drive revenue goals, Provide market intelligence, Provide market requirements, Support product design, Support product development, Support product implementation, Build sales pipeline, Manage sales pipeline, Monitor opportunities, Deliver Payment Gateway revenues, Establish sales pipeline, Maintain sales pipeline, Build customer relationships, Manage customer relationships, Identify sales leads, Close new business, Generate incremental revenue, Develop financial modeling, Develop business cases, Coordinate contract development, Implement customized solutions, Develop presentation materials, Coordinate presentation materials, Deliver presentation materials, Analyze customer data, Interpret customer data, Ensure optimal operations, Identify customer challenges, Resolve customer challenges, Escalate customer challenges, Participate in customer planning, Participate in product prioritization, Coordinate transitions", "teamCollaboration" : "Collaboration with Account Management; Collaboration with Business Development; Collaboration with implementation teams", "domainKnowledge" : "Payment Gateway; Fraud Solutions; Online Payments; eCommerce; VAS solutions; Alternative Payment Methods; Mobile Commerce; E-wallets; Multi-channel Processing; Acquiring; Consumer Payments", "domainList" : [ "payment-gateway", "fraud-solutions", "online-payments", "ecommerce", "vas-solutions", "alternative-payment-methods", "mobile-commerce", "e-wallets", "multi-channel-processing", "acquiring", "consumer-payments" ], "domainSpecificKnowledge" : [ "Payment Gateway", "Fraud Solutions", "Online Payments", "eCommerce", "VAS solutions", "Alternative Payment Methods", "Mobile Commerce", "E-wallets", "Multi-channel Processing", "Acquiring", "Consumer Payments" ], "communicationSkills" : "Customized presentations", "problemSolvingSkills" : "Customer challenge resolution", "outcomesObjectives" : "Achieve sales objectives; Achieve revenue objectives; Achieve profit objectives; Deliver Payment Gateway revenues; Close new business; Generate incremental revenue", "qualificationsBasic" : "Extensive sales experience, Customer interaction experience, Closing individual deals, Achieving sales goals, Payment gateway experience, Fraud screening experience, Alternative payment methods experience, Mobile commerce experience, E-wallets experience, Multi-channel processing experience, Acquiring experience, Account management experience, Understanding customer needs, Understanding marketplace dynamics, Understanding industry trends, Understanding competitive landscape, Interpersonal skills, Negotiation skills, International communication experience, Senior management level communication", "qualificationsPreferred" : "Relevant tertiary qualifications, Payments industry track record, Consumer payments deep knowledge, High preference for action, Results driven, Disciplined approach to sales targets, Relationship management skills, Managing multiple stakeholders, Multicultural environment experience, Matrixed environment experience, Multiple geographic locations experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Manager, Products and Solutions ### • Develop and execute sales strategies in line with regional and country objectives, that achieve sales, revenue and profit objectives for MPGS, Brighterion, Simplify and other VAS solutions in Southern Africa • Provides Payment Gateway/Fraud solutions, online payments, eCommerce subject matter expertise and leverages MasterCard integrated solutions to drive sales and revenue goals • Provides market intelligence and market requirements to product developers and product managers to support product design, development and implementation efforts • Build and manage a strong sales pipeline and monitor opportunities Key Responsibilities • Deliver on assigned market development Payment Gateway revenues through establishing and maintaining a strong sales pipeline. • Build and manage relationships with acquirers and non-traditional customers like merchants, payment facilitators and payment service providers. • Identify sales leads and close new business in collaboration with Account Management and Business Development in a highly competitive consultative selling environment and generates incremental revenue from existing clients • Develop financial modeling and business cases for identified opportunities, as well as coordinate contract development. • Implement customized solutions that drive value creation for the customer and Mastercard • Develop, coordinate and deliver customized presentation materials for identified opportunities • Analyze and interpret customer data to ensure operations are at optimal levels • Provide support by identifying and resolving customer challenges and escalating within the product vertical as required • Actively participate in the customer planning and product prioritization process • Coordinates transitions between sales and implementation teams Experiences • Extensive experience in a sales/commercial environment including interacting with customers and closing individual deals within a single market • Demonstrated expertise and success in achieving sales goals over multiple products • Experience with payment gateways, fraud screening, alternative payment methods, mobile commerce, e-wallets, multi-channel processing and acquiring • Strong account management experience - ability to understand customer and constituent needs, marketplace dynamics, industry trends and the competitive landscape. • Strong interpersonal and negotiation skills - extensive experience in communicating in international environment at senior management level. Desirable capabilities: • Relevant tertiary qualifications with a strong track record in the payments industry and deep knowledge of consumer payments. • High preference for action - results driven and with a disciplined approach to deliver sales targets. • Strong relationship management skills - experience of managing multiple stakeholders in a multicultural environment, matrixed environment, across multiple geographic locations. ### ### **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.", "summaryDescription" : "Manager, Products and Solutions at Mastercard. Skills: Payment Gateway Sales, Fraud Solutions Sales. Develop sales strategies. Execute sales strategies", "postedDate" : "2026-06-12T20:49:21.119", "createdAt" : "2026-06-14T20:49:21.103", "lastUpdated" : "2026-06-16T00:45:53.184", "ingestTimestamp" : "2026-06-14T20:49:21.103", "mongoId" : "6a2d97d274d8ee00a0c4e7fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Johannesburg-South-Africa/Manager--Products-and-Solutions_R-277283", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sales goals achievement", "Pipeline management", "Customer data analysis", "Negotiation", "Payment Gateway Sales", "Fraud Solutions Sales", "Sales strategies", "Market intelligence", "Market requirements", "Financial modeling", "Business cases", "Contract development", "Solution implementation", "Presentation development", "Payment Gateway", "Fraud Solutions", "Online Payments", "eCommerce", "VAS solutions", "Alternative Payment Methods", "Mobile Commerce", "E-wallets", "Multi-channel Processing", "Acquiring", "Consumer Payments" ], "skillCount" : 25, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e974d8ee00a098be17", "title" : "Product Owner – Payments Risk & Approval", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Owner in FinTech in São Paulo, Brazil, adjusted for company size and industry." }, "location" : "Getnet T&O Brazil", "locations" : [ "Getnet T&O Brazil" ], "timestamp" : "2026-06-15T08:00:49.191", "fingerprint" : "48f811b837d35081caf168ca7f400b368a14113e86a4cd848b800fb375abff56", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4851687101", "externalId" : "4851687101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" }, { "city" : "Porto Alegre", "state" : "Rio Grande do Sul", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-30.0324999,-51.2303767" } ], "locationText" : "São Paulo, São Paulo, Brazil; Porto Alegre, Rio Grande do Sul, Brazil", "technicalSkills" : "Data Science, Engenharia, ML", "professionalSkills" : [ "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration", "Decisioning systems", "Regras", "Fluxos de trabalho", "Otimização de performance" ], "hardSkillsList" : [ "Otimização de KPIs", "Experimentação A/B testing" ], "hardSkills" : [ { "name" : "Otimização de KPIs", "level" : "intermediate" }, { "name" : "Experimentação A/B testing", "level" : "intermediate" } ], "majorSkills" : "Product Owner, Payments Risk, Approval, Fraud prevention", "majorSkillsList" : [ "Product Owner", "Payments Risk", "Approval", "Fraud prevention" ], "coreResponsibilities" : "Balancear risco de fraude vs. conversão, Tomar decisões orientadas por dados, Conduzir ciclo de produto, Priorizar iniciativas, Entregar iniciativas, Trabalhar com times de Data Science, Trabalhar com times de Engenharia, Trabalhar com times de Risco, Trabalhar com times de Negócio, Definir KPIs-chave, Acompanhar KPIs-chave, Otimizar KPIs-chave, Liderar experimentação, Melhoria contínua de performance", "teamCollaboration" : "Times de Data Science; Times de Engenharia; Times de Risco; Times de Negócio", "projectManagementSkills" : [ "Product Owner", "Product Manager", "Discovery", "Priorização", "Entrega de iniciativas" ], "domainKnowledge" : "Pagamentos; Adquirência; Emissão; Fluxos de autorização; Fraude; Decisão de risco; Otimização de approval; Motores de regras; Modelos de scoring; Aplicações de ML risco/fraude; Decisioning systems", "domainList" : [ "pagamentos", "adquirencia", "emissao", "fluxos-de-autorizacao", "fraude", "decisao-de-risco", "otimizacao-de-approval", "motores-de-regras", "modelos-de-scoring", "aplicacoes-de-ml-risco-fraude", "decisioning-systems" ], "domainSpecificKnowledge" : [ "Pagamentos", "Adquirência", "Emissão", "Fluxos de autorização", "Fraude", "Decisão de risco", "Otimização de approval", "Motores de regras", "Modelos de scoring", "Aplicações de ML risco/fraude", "Decisioning systems" ], "toolProficiency" : [ "Databricks", "Jira", "Confluence" ], "continuousLearning" : "Aprender um novo idioma; LinkedIn Learning; O'Reilly", "problemSolvingSkills" : "Capacidade analítica", "outcomesObjectives" : "Taxa de aprovação; Fraude; Falsos positivos; Conversão; Impacto", "qualificationsBasic" : "Sólida experiência como Product Owner, Experiência sólida pagamentos, Vivência com fraude, Forte capacidade analítica, Experiência com Databricks, Conhecimento Jira, Conhecimento Confluence, Entendimento de motores de regras, Entendimento modelos de scoring, Entendimento aplicações de ML risco/fraude, Facilidade para atuar com times técnicos, Perfil estratégico, Forte capacidade de execução, Inglês fluente", "qualificationsPreferred" : "Espanhol é diferencial", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Product Owner para se juntar ao nosso time em São Paulo/SP ou Porto Alegre (híbrido 3x2). Estamos em busca de uma pessoa para atuar como Product Owner, liderando a squad de Performance Balancear risco de fraude vs. conversão, tomando decisões orientadas por dados e com impacto direto no negócio; Conduzir todo o ciclo de produto: discovery, priorização e entrega de iniciativas relacionadas a decisioning systems, regras e fluxos de pagamento; Trabalhar de forma próxima com times de Data Science, Engenharia, Risco e Negócio; Definir, acompanhar e otimizar KPIs-chave: taxa de aprovação, fraude, falsos positivos, conversão e impacto em receita; Liderar experimentação (A/B testing) para melhoria contínua de performance. ✅ O que buscamos em você Sólida experiência como Product Owner / Product Manager em ambientes complexos e orientados a dados; Experiência sólida em pagamentos (adquirência, emissão, fluxos de autorização) - essencial; Vivência com fraude, decisão de risco ou otimização de approval rate; Forte capacidade analítica e experiência prática com dados; Experiência com Databricks e plataformas modernas de dados; Conhecimento em Jira, Confluence e Figma; Entendimento de motores de regras, modelos de scoring e aplicações de ML em risco/fraude; Facilidade para atuar com times técnicos (engenharia e dados); Perfil estratégico com forte capacidade de execução; Inglês fluente (espanhol é diferencial). \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão e português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Product Owner – Payments Risk & Approval at Getnet. Skills: Product Owner, Payments Risk, Approval, Fraud prevention. Balancear risco de fraude vs. conversão. Tomar decisões orientadas por dados", "postedDate" : "2026-06-14T03:31:43.971", "createdAt" : "2026-06-14T03:31:43.971", "lastUpdated" : "2026-06-15T08:00:49.191", "ingestTimestamp" : "2026-06-14T03:31:43.971", "mongoId" : "6a2c94e974d8ee00a098be17", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Otimização de KPIs", "Experimentação A/B testing", "Product Owner", "Payments Risk", "Approval", "Fraud prevention", "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration", "Decisioning systems", "Regras", "Fluxos de trabalho", "Otimização de performance", "Product Manager", "Discovery", "Priorização", "Entrega de iniciativas", "Pagamentos", "Adquirência", "Emissão", "Fluxos de autorização", "Fraude", "Decisão de risco", "Otimização de approval", "Motores de regras", "Modelos de scoring", "Aplicações de ML risco/fraude", "Databricks", "Jira", "Confluence" ], "skillCount" : 31, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b3874d8ee00a0910c4c", "title" : "Design Engineer (Aerospace and Defense Products)", "company" : "Freeform", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Design Engineer in El Segundo, United States, adjusted for the Aerospace industry." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-16T06:18:38.070", "fingerprint" : "5960d17a556bf7ab39b4cdfd4ef976466b221f45528eab183740609142888412", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freeformfuturecorp/jobs/7770303003", "externalId" : "7770303003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "rawDescription" : "DESIGN ENGINEER (AEROSPACE AND DEFENSE PRODUCTS) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. Freeform is hiring a Design Engineer focused on aerospace employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Design Engineer (Aerospace and Defense Products) at Freeform", "postedDate" : "2026-06-14T20:03:59.249", "createdAt" : "2026-06-14T20:03:59.249", "lastUpdated" : "2026-06-16T06:18:38.070", "ingestTimestamp" : "2026-06-14T20:03:59.249", "mongoId" : "6a2c6b3874d8ee00a0910c4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caf1174d8ee00a09d617c", "title" : "Procedures Controller", "company" : "Etihad Airways", "industry" : "Airlines/Aviation", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Procedures Controller in Abu Dhabi, UAE, adjusted for mid-seniority and the logistics industry." }, "location" : "Abu Dhabi, AE", "locations" : [ "Abu Dhabi", "AE" ], "timestamp" : "2026-06-15T08:39:53.480", "fingerprint" : "d597b805b249ab6a23dd2b85cfb9c2ed3102ec995cb260e3172cd61163a9ac52", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EtihadAirways5/744000131664870-procedures-controller-cargo", "externalId" : "744000131664870", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abu Dhabi", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.4538352,54.3774014" } ], "locationText" : "Abu Dhabi, United Arab Emirates", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "not-applicable", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Documentation management", "Regulatory compliance", "Aircraft handling procedures", "Ground operations training" ], "hardSkills" : [ { "name" : "Documentation management", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Aircraft handling procedures", "level" : "intermediate" }, { "name" : "Ground operations training", "level" : "intermediate" } ], "majorSkills" : "Procedures documentation, Ground operations, Regulatory standards", "majorSkillsList" : [ "Procedures documentation", "Ground operations", "Regulatory standards" ], "coreResponsibilities" : "Create Etihad Cargo Services Manual, Maintain Etihad Cargo Services Manual, Update Etihad Cargo Services Manual, Create Etihad Cargo Bulletins, Maintain Etihad Cargo Bulletins, Update Etihad Cargo Bulletins, Create Process Manual Cargo, Maintain Process Manual Cargo, Update Process Manual Cargo, Create local operating procedures, Maintain local operating procedures, Update local operating procedures, Contribute to Ground Operations Manual, Support development of Ground Operations Manual, Develop aircraft handling procedures, Document aircraft handling procedures, Communicate aircraft handling procedures, Research aircraft handling procedures, Conduct gap analyses, Record gap analyses, Maintain user credentials, Monitor user credentials, Update station information, Communicate station information changes, Support audit preparation, Provide feedback on policies, Provide feedback on procedures, Provide feedback on tasks, Arrange ground operations training, Deliver ground operations training, Support Manager Cargo Procedures", "teamCollaboration" : "External ground operations users; Airport Managers; Applicable airports; Stakeholder departments; Regulatory audits; Corporate audits; Industry audits; Line manager; Third-party service providers", "domainKnowledge" : "Air cargo transportation; UAE GCAA regulations; Etihad internal policies; Aircraft types; Ground handling service providers", "domainList" : [ "air-cargo-transportation", "uae-gcaa-regulations", "etihad-internal-policies", "aircraft-types", "ground-handling-service-providers" ], "domainSpecificKnowledge" : [ "Air cargo transportation", "UAE GCAA regulations", "Etihad internal policies", "Aircraft types", "Ground handling service providers" ], "documentationSkills" : "Documentation maintenance; Procedure documentation", "problemSolvingSkills" : "Gap analysis", "qualificationsBasic" : "Bachelor's degree qualified, 5 years aviation industry experience", "qualificationsPreferred" : "Aviation Management degree, Business Administration degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Synopsis Participate in the creation, maintenance and updating of the Etihad Cargo Services Manual (CSM), Etihad Cargo Bulletins, Process Manual Cargo (PM-CG), local operating procedures and other related documentation as required, in accordance with international regulations and standards governing air cargo transportation, UAE GCAA regulations and Etihad internal policies. Contribute to the Etihad Ground Operations Manual (GOM) and associated ground operations documentation. Accountabilities • Support the development of the Ground Operations Manual (GOM) and related documentation, including all applicable safety and security standards and requirements. • Develop, document and communicate general and applicable local level aircraft handling and servicing procedures, including research of appropriate aircraft handling and servicing procedures in readiness for the introduction of new aircraft types. • Conduct and record gap analyses to support the alignment requirements of Ground Operations documentation with applicable regulations and standards. • Maintain and monitor user credentials for documentation access platforms, for external ground operations users across the global airports network, ensuring all creation/deletion requests are performed promptly and confirmed to the applicable Airport Managers. • Conduct documentation user and access reviews, sharing statistics with Airport Managers and coordinating user creation and deletions as required. • Update and communicate station information changes to applicable airports and stakeholder departments. • Support departmental preparation for regulatory, corporate and industry audits. • Provide appropriate feedback to line manager on progress and any issues relating to policies, procedures and tasks associated with station start-ups and ground handling service provider changes. • Arrange and deliver ground operations training to Etihad and third-party service provider personnel as operationally required and according to individual training authorisation. • Support Manager Cargo Procedures with delegated cargo operations documentation-related tasks, as and when required. ## Qualifications Education & Experience • Bachelor’s degree qualified, preferably in Aviation Management, Business Administration • Previous aviation industry experience within the airline operations or ground operations preferably min 5 years experience ## Additional Information Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight. To learn more visit [www.etihad.com](http://www.etihad.com) Recruitment Fraud Alert Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.", "summaryDescription" : "Procedures Controller at Etihad Airways. Skills: Procedures documentation, Ground operations, Regulatory standards. Create Etihad Cargo Services Manual. Maintain Etihad Cargo Services Manual", "postedDate" : "2026-06-11T12:51:00.000", "createdAt" : "2026-06-14T07:22:56.420", "lastUpdated" : "2026-06-15T08:39:53.480", "ingestTimestamp" : "2026-06-14T07:22:56.420", "mongoId" : "6a2caf1174d8ee00a09d617c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Documentation management", "Regulatory compliance", "Aircraft handling procedures", "Ground operations training", "Procedures documentation", "Ground operations", "Regulatory standards", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Air cargo transportation", "UAE GCAA regulations", "Etihad internal policies", "Aircraft types", "Ground handling service providers" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6960826f0937eae70e9c8c36", "title" : "Medical Assistant II- Special Procedures", "company" : "Atrius Health", "industry" : "Healthcare", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Endoscopy Suite", "locations" : [ "Endoscopy Suite", "630a-330p variable start times", "Medical Assistants/Medical Secretaries, Individual Contributor, Individual Contributor" ], "certifications" : [ "Medical Assistant Certification", "Basic Life Support (BLS)", "Advanced Cardiac Life Support (ACLS)" ], "timestamp" : "2026-06-15T09:30:19.204", "fingerprint" : "ca5e98c3b965c865a68bd3aff15f3d844ce441f88c19f75172dc50a94ae4be16", "source" : "taleo", "language" : "en", "applyUrl" : "https://atriushealth.taleo.net/careersection/ex/jobdetail.ftl?job=355048", "externalId" : "355048", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weymouth", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2212188,-70.9391625" } ], "locationText" : "Weymouth, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "technicalSkills" : "Word processing, Spreadsheet programs, Electronic medical record", "professionalSkills" : [ "Clinical support", "Clerical support", "Operative procedures", "Surgical procedures", "Sterile environment maintenance", "Specialized equipment usage", "Lab specimen handling" ], "hardSkillsList" : [ "Sharps handling", "Biohazard materials handling", "Sterile field setup", "Autoclave operation" ], "hardSkills" : [ { "name" : "Sharps handling", "level" : "intermediate" }, { "name" : "Biohazard materials handling", "level" : "intermediate" }, { "name" : "Sterile field setup", "level" : "intermediate" }, { "name" : "Autoclave operation", "level" : "intermediate" } ], "majorSkills" : "Clinical support, Surgical assistance, Sterile technique", "majorSkillsList" : [ "Clinical support", "Surgical assistance", "Sterile technique" ], "coreResponsibilities" : "Provide direct clinical support, Provide clerical support, Support medical specialty clinicians, Support surgical specialty clinicians, Support procedural based departments, Assist physicians, Assist advanced practice clinicians, Assist in office visits, Assist in operative procedures, Assist in surgical procedures, Prepare rooms, Turnover rooms, Maintain sterile environment, Assist with minor operative procedures, Assist with minor surgical procedures, Operate specialized equipment, Support pre procedural office visits, Support post procedural office visits, Perform advanced support tasks", "teamCollaboration" : "Collaborate with clinicians; Collaborate with hospital partners; Collaborate with community specialists; Collaborate with skilled nursing facilities", "domainKnowledge" : "Medical assisting; Surgical procedures; Sterile environment; Lab specimens; Fine Needle Aspirations", "domainList" : [ "medical-assisting", "surgical-procedures", "sterile-environment", "lab-specimens", "fine-needle-aspirations" ], "domainSpecificKnowledge" : [ "Medical assisting", "Surgical procedures", "Sterile environment", "Lab specimens", "Fine Needle Aspirations" ], "toolProficiency" : [ "EMR" ], "communicationSkills" : "Professional communication", "continuousLearning" : "Paid professional development", "qualificationsBasic" : "High School diploma or equivalency, Medical Assistant Certification required, 3 years in clinical setting, 1 year as Medical Assistant, Computer experience required, EMR experience or aptitude", "qualificationsPreferred" : "Associate's degree in medical assisting, Graduate of medical assistant certification program, Bachelor's or other non-clinical degree, American Heart Association Basic Life Support (BLS), Advanced Cardiac Life Support (ACLS)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Atrius Health, an innovative healthcare leader, delivers an effective system of connected care for more than 690,000 adult and pediatric patients at 30 medical practice locations in eastern Massachusetts. Atrius Health’s 645 physicians and primary care providers, along with 420 additional clinicians, work in close collaboration with hospital partners, community specialists and skilled nursing facilities. Our vision is to transform care to improve lives. Atrius Health provides high-quality, patient-centered, coordinated, cost effective care to every patient we serve. By establishing a solid foundation of shared decision making, understanding and trust with each of its patients, Atrius Health enhances their health and enriches their lives. Atrius Health is part of Optum, a health services company focused on building the leading value-based care system in the country. SUMMARY Under general supervision provides direct clinical and clerical support to medical and surgical specialty clinicians (and other procedural based departments). Provides medical assistant support to physicians or advanced practice clinicians for both office visits as well as in operative and surgical procedures. Performs tasks such as assisting in room preparation and turnover, maintenance of a sterile environment, and assisting the clinicians with minor operative and surgical procedures. May operate specialized equipment. Also performs general medical assistant support for pre and post procedural office visits including advanced level support tasks. EDUCATION/LICENSES/CERTIFICATIONS High School diploma or equivalency certificate (e.g. GED, HiSET, TASC Test) from an accredited institution or governmental unit or a Medical Assistant Certification required. Associate's degree in medical assisting or graduate of medical assistant certification program preferred. A bachelor’s or other non-clinical degree combined with an interest in healthcare and excellent problem-solving, multi-tasking, technology-literate skill sets can at times be substituted for medical assistant certification or work experience. American Heart Association Basic Life Support (BLS) strongly preferred. Advanced Cardiac Life Support (ACLS) may be required based on specialty. EXPERIENCE Experience typically acquired through three years in a clinical setting with at least one as a Medical Assistant. Computer experience required with the ability to use word processing and spreadsheet programs. Electronic medical record (EMR) experience and/or aptitude to master the EMR based on other technology experience required. SKILLS Able to communicate in a professional and appropriate manner. Demonstrates high level of skill in cleaning, maintenance and usage of specialized equipment relevant to the department and position. Knowledge of sharps and biohazard materials. Proficient in setting up a sterile field. Understands how to assist with department specific procedures such as FNA (Fine Needle Aspirations). Able to work with lab specimens. Knowledge of operating autoclave asserts and what to do if the assert fails. Exceptional patient service awareness and skills. Ability to provide a high level of customer service a must. The hourly range for this role is $21.78 to $31.11 per hour based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. Atrius Health complies with all minimum wage laws as applicable. In addition to your salary, Atrius Health offers benefits such as, a comprehensive benefits package, incentive, and recognition programs. No matter where or when you begin a career with Atrius Health, you’ll find a far- reaching choice of benefits and incentives. Atrius Health is committed to a policy of non-discrimination and equal employment opportunity. All patients, employees, applicants, and other constituents of Atrius Health will be treated with respect and dignity regardless of race, national origin, gender, age, religion, disability, veteran status, marital/domestic partner status, parental status, sexual orientation and gender identity and/or expression, or other dimensions of diversity. Excellent benefits Include: · Up to 8% company retirement contribution, · Generous Paid Time Off · 10 paid holidays, · Paid professional development, · Generous health and welfare benefit package Endoscopy Suite Weymouth MA - Atrius Health Libbey 1", "summaryDescription" : "Medical Assistant II- Special Procedures at Atrius Health. Skills: Clinical support, Surgical assistance, Sterile technique. Provide direct clinical support. Provide clerical support", "createdAt" : "2026-06-14T08:18:59.665", "lastUpdated" : "2026-06-15T09:30:19.204", "ingestTimestamp" : "2026-06-14T08:18:59.665", "mongoId" : "6960826f0937eae70e9c8c36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 64480, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sharps handling", "Biohazard materials handling", "Sterile field setup", "Autoclave operation", "Clinical support", "Surgical assistance", "Sterile technique", "Clerical support", "Operative procedures", "Surgical procedures", "Sterile environment maintenance", "Specialized equipment usage", "Lab specimen handling", "Medical assisting", "Sterile environment", "Lab specimens", "Fine Needle Aspirations", "Medical Assistant Certification", "Basic Life Support (BLS)", "Advanced Cardiac Life Support (ACLS)", "EMR" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30753df292fd229c00d6ca", "title" : "Sr. Software Development Engineer, Products and Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T12:40:35.028", "fingerprint" : "f31633db429f0cacc63c56f4de5602a5720ff0d21efc5bc35771ac0fe401950e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449376/apply", "externalId" : "59daad58-6b36-4c39-8907-669a25e9b1a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Senior Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who thrives as the technical anchor of an AWS 2-pizza team. You'll own the architecture and delivery of production systems that power how AWS Professional Services delivers enterprise cloud migrations and modernization at scale. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by thousands of practitioners serving Fortune 500 customers. This is a hands-on builder role with leadership expectations. You'll write code, design systems, lead projects across multiple engineers, mentor teammates, and own operational excellence for your services — all within a product engineering org that ships fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems — every team is working on some aspect of agentic AI: building agents, orchestrating them, evaluating their outputs, or making them extensible. You'll be at the frontier of applied AI engineering. - Small team, big impact — as an AWS 2-pizza team, you'll have direct ownership of significant components. Your architecture decisions directly impact 5000+ consultants across 60+ countries delivering $1B+ in active delivery pipeline. - Full-stack ownership — from React frontends to CDK infrastructure to AI agent logic. No artificial boundaries between \"frontend\" and \"backend\" engineers. - Career growth — we invest in developing senior engineers toward Principal levels. You'll work alongside senior architects and receive direct mentorship on expanding your technical influence beyond a single team. - Direct customer engagement — you'll occasionally engage directly on customer migrations, seeing your tools in action and bringing insights back to improve the platform. Key job responsibilities - Own team-level architecture — design systems that are simple, extensible, and operationally sound - Influence design and technical decisions beyond your immediate team, contributing to org-wide architectural direction and engineering standards - Lead projects spanning multiple engineers; make sound technical decisions and drive execution from design through production deployment - Design and build agentic AI components — whether that's agent logic, orchestration workflows, evaluation pipelines, or integration APIs - Write production code daily — you should spend the majority of your time building, not meeting - Set engineering standards on your team: code quality, testing practices, CI/CD pipelines, observability, and incident response - Solve complex distributed systems problems where trade-offs between latency, consistency, extensibility, and cost aren't obvious - Proactively identify and resolve technical debt; simplify systems rather than layering complexity - Mentor and grow engineers on your team; help junior and mid-level engineers level up through code reviews, design guidance, and career coaching - Communicate technical designs clearly in writing — design docs, RFCs, and architecture decision records - Drive operational excellence: meaningful alarms, runbooks, dashboards, and a culture of learning from incidents - Travel ~5% to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns daily. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems with real constraints, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture 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 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: - 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 Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Bachelor's degree in computer science or equivalent Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building complex software systems that have been successfully delivered to customers 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 - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Products and Solutions at Amazon Web Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:09.001", "lastUpdated" : "2026-06-16T12:40:35.028", "ingestTimestamp" : "2026-06-16T01:54:09.001", "mongoId" : "6a30753df292fd229c00d6ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449376/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30606ef292fd229cf8d30b", "title" : "PRODUCTS ANALYST III", "company" : "Inter Carreiras", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 195000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Products Analyst III in FinTech in Belo Horizonte, Brazil, adjusted for seniority and industry." }, "location" : "BELO HORIZONTE", "locations" : [ "BELO HORIZONTE" ], "timestamp" : "2026-06-16T06:59:19.123", "fingerprint" : "dd36b83d5a769609f41ba2c848d10f6e79ccc0b01086558267e9daac45f0a6fc", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://boards.greenhouse.io/inter/jobs/4676971005?gh_jid=4676971005", "externalId" : "4676971005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belo Horizonte", "state" : "Minas Gerais", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-19.9227318,-43.9450948" } ], "locationText" : "Belo Horizonte, Minas Gerais, Brazil", "minimumEducation" : "Education superior completa", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Gestão de produtos", "Análise de dados", "Tomada de decisão" ], "hardSkillsList" : [ "Análise de produtos", "Otimização de processos", "Análise de métricas", "Especificação de demandas", "Monitoramento de indicadores" ], "hardSkills" : [ { "name" : "Análise de produtos", "level" : "intermediate" }, { "name" : "Otimização de processos", "level" : "intermediate" }, { "name" : "Análise de métricas", "level" : "intermediate" }, { "name" : "Especificação de demandas", "level" : "intermediate" }, { "name" : "Monitoramento de indicadores", "level" : "intermediate" } ], "majorSkills" : "Gestão de produtos, Análise de dados, Metodologias ágeis", "majorSkillsList" : [ "Gestão de produtos", "Análise de dados", "Metodologias ágeis" ], "coreResponsibilities" : "Analisar e propor melhorias nos produtos de cobrança, Garantir o funcionamento correto dos fluxos, Atuar na gestão do ciclo de vida dos, Propor ajustes com base em análises de dados, Apoiar a priorização de demandas com áreas técnicas, Especificar demandas com áreas técnicas, Realizar interface com demais áreas do negócio, Garantir atendimento às necessidades, Garantir conformidade do produto, Garantir aderência a políticas internas, Garantir aderência a normativos regulatórios, Monitorar indicadores de performance", "teamCollaboration" : "Times multidisciplinares; Áreas técnicas; TI; Comercial; Jurídico", "projectManagementSkills" : [ "Metodologias ágeis", "Scrum", "Kanban", "PMBOK" ], "domainKnowledge" : "Produtos financeiros; Recuperação de crédito; Canais de cobrança; Normativos do Banco Central; CDC; LGPD; Boas práticas de cobrança", "domainList" : [ "produtos-financeiros", "recuperacao-de-credito", "canais-de-cobranca", "normativos-do-banco-central", "cdc", "lgpd", "boas-praticas-de-cobranca" ], "domainSpecificKnowledge" : [ "Produtos financeiros", "Recuperação de crédito", "Canais de cobrança", "Normativos do Banco Central", "CDC", "LGPD", "Boas práticas de cobrança" ], "toolProficiency" : [ "Jira", "Pacote Office" ], "communicationSkills" : "Boa comunicação", "continuousLearning" : "Programas de treinamento; Capacitação internos", "problemSolvingSkills" : "Capacidade de análise de dados; Interpretação de métricas; Tomada de decisão orientada a evidências", "outcomesObjectives" : "Adesão; Recuperação; Inadimplência recorrente", "qualificationsBasic" : "Educação superior completa, Experiência com especificação, desenvolvimento e gestão de produtos, Conhecimento de metodologias de gerenciamento de projetos, Conhecimento de ferramentas de gerenciamento de projetos, Conhecimento pacote Office, Capacidade de análise de dados, Boa comunicação", "qualificationsPreferred" : "Vivência com metodologias ágeis, Familiaridade com normativos do Banco Central, Familiaridade com legislação de proteção ao consumidor, Familiaridade com boas práticas de cobrança", "rawDescription" : "Conheça o Inter Pioneiros, mudamos o mercado ao lançar o primeiro banco digital do Brasil e seguimos criando tendências com tecnologia de ponta. Evoluímos para um Super App Financeiro Global, com soluções completas e inovação de primeira. Aqui, o trabalho tem propósito: construir oportunidades reais, transformar a vida das pessoas e o mercado financeiro. Esse é o nosso Jeito Inter de Fazer. Se você quer fazer parte dessa mudança e deixar um legado, seu lugar é aqui. Vem ser Sangue Laranja. Get to Know Inter As pioneers, we transformed the market by launching Brazil’s first digital bank and continue to shape the future with cutting-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people’s lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here. Become Sangue Laranja. Sobre a vaga e missão do cargo Atuar na gestão, análise e evolução de produtos financeiros voltados à recuperação de crédito, sendo responsável por definir, desenhar e otimizar as regras e processos aplicados em diferentes canais de cobranç a. No seu dia a dia, você vai: Analisar e propor melhorias nos produtos de cobrança, nos fluxos dentro do sistema e garantir o funcionamento correto desse fluxo; Atuar na gestão do ciclo de vida dos produtos de cobrança, propondo ajustes com base em análises de dados e entendimento dos processos; Atuar com Ferramentas de Gestão: vivência com metodologias ágeis (Scrum/Kanban), ferramentas de gestão de demandas (Jira) e análise de dados; Apoiar a priorização e especificação de demandas com áreas técnicas para evolução dos produtos em sistemas e canais; Realizar interface com demais áreas do negócio (TI, Comercial, Jurídico, etc.) e fornecedores garantindo atendimento às necessidades e conformidade do processo; Garantir aderência a políticas internas e normativos regulatórios; familiaridade com normativos do Banco Central, legislação de proteção ao consumidor (CDC, LGPD) e boas práticas de cobrança; Monitorar indicadores de performance (adesão, recuperação, inadimplência recorrente). O que buscamos Obrigatórios: Educação superior completa em Administração, Economia ou áreas correlatas; Experiência com especificação, desenvolvimento e gestão de projetos; Conhecimento de metodologias de gerenciamento de projetos, como PMBOK e metodologias ágeis; Conhecimento de ferramentas de gerenciamento de projetos, como JIRA; Conhecimento em pacote Office. Capacidade de análise de dados, interpretação de métricas e tomada de decisão orientada a evidências. Boa comunicação e facilidade de trabalhar com times multidisciplinares Benefícios Vale-alimentação e Vale-refeição Plano de saúde e odontológico Seguro de vida DayOff de Aniversário Baby On Board e Sala de Amamentação Licença parental estendida Auxílio-creche/babá e/ou auxílio para filhos com deficiência Wellhub e Grupo de Corrida Inter Espaço CARE4U (Belo Horizonte): serviços de autocuidado com valores exclusivos, área de descompressão, jogos e minicampo de golfe Vantagens no nosso SuperApp, como Duo Gourmet Cartão Prime Inter Programas de treinamento e capacitação internos Etapas do Processo Seletivo Triagem de currículos; Screening (abordagem inicial para alinhamento de expectativas sobre a vaga); Assessments; Entrevista com Time de Talent; Teste técnico (quando necessário); Entrevista com a liderança; Proposta de Contratação (Offer);", "summaryDescription" : "PRODUCTS ANALYST III at Inter Carreiras. Skills: Gestão de produtos, Análise de dados, Metodologias ágeis. Analisar e propor melhorias nos produtos de cobrança. 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Sponsored Brands; Amazon Ads; Advertising landscape; Customer experience; Advertising lifecycle; Advertising performance; Customer insights; AI technologies; Marketplace; Ad response prediction; GenAI workloads", "domainList" : [ "sponsored-products", "sponsored-brands", "amazon-ads", "advertising-landscape", "customer-experience", "advertising-lifecycle", "advertising-performance", "customer-insights", "ai-technologies", "marketplace", "ad-response-prediction", "genai-workloads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction", "GenAI workloads" ], "innovationCreativity" : "Innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems; Innovators dedicated to developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) 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. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development 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 $136,000/year in our lowest geographic market up to $223,400/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" : "Applied Scientist, Sponsored Products and Brands at Amazon.com LLC. Skills: Machine learning, Deep learning, Generative AI, LLM. Develop scalable machine learning models. Develop effective machine learning models", "postedDate" : "2026-06-13T14:14:51.888", "createdAt" : "2026-06-13T14:14:51.888", "lastUpdated" : "2026-06-15T04:30:12.071", "ingestTimestamp" : "2026-06-13T14:14:51.888", "mongoId" : "68e0a7e4ce260f92cbf8ebea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099511/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "Generative AI", "LLM", "Machine learning engineering", "LLM inference infrastructure", "GenAI workloads", "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307f3cf292fd229c056ef0", "title" : "Head of Brand, Products, Solutions and Data, YouTube", "company" : "YouTube", "industry" : "Media", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in Mexico City's media industry, adjusted for YouTube's company size and the specific role's scope." }, "location" : "[Mexico City, CDMX, Mexico, [Mexico City, CDMX, Mexico], Mexico City, null, CDMX, MX]", "locations" : [ "[Mexico City, CDMX, Mexico, [Mexico City, CDMX, Mexico], Mexico City, null, CDMX, MX]" ], "timestamp" : "2026-06-16T15:11:38.591", "fingerprint" : "70135a33214acb21c3c57c3f4fa8fe607dc4f811274548f67fa4323b9154a97c", "source" : "google", "language" : "en", "externalId" : "130065512586453702", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "CDMX", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, CDMX, Mexico", "summaryDescription" : "Head of Brand, Products, Solutions and Data, YouTube at YouTube", "postedDate" : "2026-06-16T01:50:46.844", "createdAt" : "2026-06-16T01:50:46.844", "lastUpdated" : "2026-06-16T15:11:38.591", "ingestTimestamp" : "2026-06-16T01:50:46.844", "mongoId" : "6a307f3cf292fd229c056ef0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2db59674d8ee00a0c92b5f", "title" : "Formulation Technician", "company" : "Baxter", "industry" : "Healthcare", "salary" : { "min" : 44000.0, "max" : 44000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Marion, North Carolina", "locations" : [ "Marion, North Carolina", "United States of America" ], "timestamp" : "2026-06-16T03:38:16.089", "fingerprint" : "6af753a0ba45c1b7796ba5dc9f6d24dd66f3efd181dc37cd498d0fbb45b35b00", "source" : "workday", "language" : "en", "applyUrl" : "https://baxter.wd1.myworkdayjobs.com/baxter/job/Marion-North-Carolina/Formulation-Technician--6-30am---6-30pm-_JR-201335-1", "externalId" : "JR - 201335", "industryFunction" : { }, "locationPoint" : "32.41736,-88.64782", "structuredLocations" : [ { "city" : "Marion", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.6841022,-82.0091028" } ], "locationText" : "Marion, North Carolina, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**This is where** your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Job Description ## Your Role at Baxter **This is where my hands make life-sustaining products** You are driven by the knowledge that the products you help make saves and sustain lives. You can move quickly, address questions, and encourage teammates, all while getting quality products out on time. You are calm, positive, and a key part of a fast-paced environment that emphasizes camaraderie and teamwork. As a **Formulation Technician** **,** you are happiest when you are moving, and we will not disappoint! Baxter is known for its speed and high-quality product. Our manufacturing operations are around-the-clock to meet the needs of our customers. Our high-caliber talent works through the challenges at hand while pushing toward meeting client order needs. Different shift assignments allow for flexibility and safety. ## **Your team** Baxter is focused on saving and sustaining lives by manufacturing high-quality products. We strive to create quality products for our customers each day. Delivering life-saving products is about getting them right, and attention to detail is how we make sure we meet that challenge. We are a team that supports each other throughout each shift. Working together in a supportive and open culture makes our processes evolve for the better and engages our workforce. You'll be offered extensive training, and the tight-knit working environment within the Manufacturing team means employees get additional training from their direct manager and peers when needed. ## ## **What we offer from Day One:** * Shift flexibility to trade shifts and leverage overtime opportunities * Medical, Dental and Vision coverage * 160 hours of Paid Time Off and Paid Holidays * 401K match * Employee Stock Purchase Program * Paid Parental Leave * Tuition Reimbursement ## ## **What You 'll Be Doing** The Formulation Technician is responsible for the strategic planning of the assigned maintenance department. Provides leadership within the maintenance organization and leads the organization’s engineers, supervisors and technicians. Responsible for the area budget and headcount resources. Directs the team to complete projects and programs within boundaries of quality, time and budget. Based on significant technical and managerial expertise, creates a strategy and structure to improve asset availability for the department. Provides technical direction to staff. Fosters an environment of creativity and innovation in completing departmental responsibilities. * Responsible for proper formulation of tanks including weighing, labeling, staging materials with strict adherence to procedures and standardized formulas. * Inspect, clean and re-palletize raw materials received from the warehouse. * Take ownership of Mixing and Tank Rooms to ensure adherence to cGMPs. * Perform routine preventative maintenance in the Mixing Complex. * Promotes a culture of safety in the area. * Investigate, identify, and correct or escalate any inefficiency’s or quality concerns for Mixing equipment and processes. * Generate and implement continuous improvement activities to the Mixing area and process. * Use a powered industrial truck (PIT) to transport staged materials to the assigned mixing tank. * Pump or manually blend raw materials into a chemical solution mixing tank. * Perform and document scheduled cleaning activities which include using a ladder and safety harness to climb into mixing tanks in order to clean the inside of the vessel. * Navigate the computerized Production Operating Management System (POMS) to access, manage and document batch information throughout the entire mixing process. * Obtain samples & perform scheduled quality checks. * Notify the supervisor and take appropriate action if any safety, quality, mechanical or discrepancy issues occur. * Learn, understand and apply rigorous quality standards, Standard Operating Procedures (SOPs) and Current Good Manufacturing Practices (cGMP). * Sustain a clean and safe work area using 6S principles. ## ## **What You 'll Bring** * High School Diploma or GED and must be at least 18 years of age. * One year of manufacturing experience preferred. * CRC (Career Readiness Certification) at the Silver Level preferred. * Basic English written and oral communication skills adequate to communicate with other team members. * Understand verbal and written safety and quality instructions and read and comprehend written work instructions including words and drawings. * Ability to perform basic mathematics. * Possess or be able to obtain PIT Operator Certification. * Basic computer skills. ## ## Physical Requirements * Requires continuous firm grasping and pushing/pulling up to 50 pounds. * Lifting and carrying on average up to 50 pounds continuously and up to 75 pounds occasionally throughout the shift. * Pass the PIT physical. * Normal visual acuity and the ability to distinguish color are necessary. * Occasionally specialized physicals are required when working with certain drug codes. * Must be able to bend/stoop, squat, climb, reach above shoulder level, twist at the neck and twist at the waist frequently throughout the shift and balance and reach at or below shoulder level continuously throughout the shift. We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all our employees, and we strive to be more transparent with our pay practices. To that end, this position has a pay rate of $44,000.00 annually. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. **US Benefits at Baxter (except for Puerto Rico)** This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: [Benefits | Baxter](https://www.baxter.com/careers/benefits) **Equal Employment Opportunity** Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. [Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Reasonable Accommodations** Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the [link](https://forms.microsoft.com/Pages/ResponsePage.aspx?id=Nd3GyB-HME-FrGU185glFONjsWP56EBPkq0TvnZuTOFUQk8wUzgwWENFVU5YOFdEOTFEM0pTN0VOVy4u) here and let us know the nature of your request along with your contact information. **Recruitment Fraud Notice** Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our [Recruitment Fraud Notice](https://jobs.baxter.com/how-to-apply#fraud-notice).", "summaryDescription" : "Formulation Technician at Baxter", "postedDate" : "2026-06-13T19:09:35.438", "createdAt" : "2026-06-14T19:09:35.415", "lastUpdated" : "2026-06-16T03:38:16.089", "ingestTimestamp" : "2026-06-14T19:09:35.415", "mongoId" : "6a2db59674d8ee00a0c92b5f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://baxter.wd1.myworkdayjobs.com/baxter/job/Marion-North-Carolina/Formulation-Technician--6-30am---6-30pm-_JR-201335-1", "salaryAnnualMin" : 44000, "salaryAnnualMax" : 44000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191d8c58b93c861e39688d", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive Chief Operating Officer in Midland, United States, adjusted for the manufacturing industry and company size." }, "location" : "Midland, TX", "locations" : [ "Midland", "TX" ], "timestamp" : "2026-06-15T04:54:09.848", "fingerprint" : "509a734e3b1f9b086d2710a40df54ce0ff178ec1654f7a655d0bda1804780e0d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/855d1bb1c2b3-chief-operating-officer-heavy-equipment", "externalId" : "855d1bb1c2b3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Midland", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.8368800,-102.0103767" } ], "locationText" : "Midland, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "coreResponsibilities" : "Manage operations, Oversee daily activities, Ensure efficient workflow, Drive operational improvements, Manage resources, Coordinate cross-functional teams, Oversee vendor relationships, Manage stakeholder expectations, Monitor operational metrics, Develop operational strategies", "teamCollaboration" : "Cross-functional teams; Vendor relationships; Stakeholder management", "domainKnowledge" : "Heavy equipment industry", "domainList" : [ "heavy-equipment-industry" ], "domainSpecificKnowledge" : [ "Heavy equipment industry" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. 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Oversee daily activities", "createdAt" : "2026-06-14T05:22:35.409", "lastUpdated" : "2026-06-15T04:54:09.848", "ingestTimestamp" : "2026-06-14T05:22:35.409", "mongoId" : "6a191d8c58b93c861e39688d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Heavy equipment industry" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "69fe94ff4c40e2acd11219c3", "title" : "Applied Scientist II, Sponsored Products and Brands-Agent", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 172400.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:55:25.162", "fingerprint" : "7ad0ab23796aa2e82cc054ecf4362c263f771704655b3de969e0aff032ad13a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "externalId" : "31bf1933-f742-480e-ad74-77c1c946969f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, R, SQL, AWS, SageMaker, PyTorch, TensorFlow, Spark, Machine Learning, Data Science", "professionalSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design" ], "hardSkillsList" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Algorithm Development", "majorSkillsList" : [ "Machine Learning", "Data Science", "Algorithm Development" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Conduct experiments to test hypotheses, Analyze large datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Sponsored Products; Brands", "domainList" : [ "sponsored-products", "brands" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Brands" ], "toolProficiency" : [ "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree in Computer Science, Statistics, or related quantitative field, 3+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in Computer Science, Statistics, or related quantitative field, Experience with AWS SageMaker, Experience with PyTorch or TensorFlow, Experience with large-scale data processing frameworks (e.g., Spark)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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. About the team SPB Agent team's vision is to build a highly personalized and context-aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across all experiences. The SPB-Agent is the central agent that interfaces with advertisers across Ads Console, Selling Partner portals (Seller Central, KDP, Vendor Central), and internal Sales systems. We identify high-impact opportunities spanning from strategic product guidance to granular optimization and deliver them through personalized, scalable experiences grounded in state-of-the-art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including fine-tuning, MCP, and preference optimization. This presents an exceptional opportunity to shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist II, Sponsored Products and Brands-Agent at Amazon.com Services LLC. Skills: Machine Learning, Data Science, Algorithm Development. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-14T19:32:21.240", "createdAt" : "2026-06-14T19:32:21.240", "lastUpdated" : "2026-06-16T07:55:25.162", "ingestTimestamp" : "2026-06-14T19:32:21.240", "mongoId" : "69fe94ff4c40e2acd11219c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "salaryAnnualMin" : 172400, "salaryAnnualMax" : 223400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation", "Machine Learning", "Data Science", "Algorithm Development", "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design", "Sponsored Products", "Brands", "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c652a74d8ee00a08fca55", "title" : "Product Development Manager, Formulation - Private Label", "industry" : "Food & Beverage", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Product Development Manager, Formulation in Encinitas, United States, adjusted for the Consumer Goods industry and full-time employment." }, "location" : "Encinitas, CA", "locations" : [ "Encinitas, CA" ], "timestamp" : "2026-06-15T21:16:18.503", "fingerprint" : "41009de2be86f2cd5200bf18cf5761e60ecc180eea33c7f1bc8a0cb280c328bd", "source" : "jazzhr", "language" : "en", "externalId" : "VtZ6WLzPzz", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Encinitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.0369867,-117.2919818" } ], "locationText" : "Encinitas, California, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Product development", "Formulation development" ], "majorSkills" : "Product development, Formulation", "majorSkillsList" : [ "Product development", "Formulation" ], "coreResponsibilities" : "Develop new product formulations, Manage product development projects, Collaborate with cross-functional teams, Ensure product quality and compliance, Support private label product initiatives", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Product development projects" ], "domainKnowledge" : "Private label products; Formulation science", "domainList" : [ "private-label-products", "formulation-science" ], "domainSpecificKnowledge" : [ "Private label products", "Formulation science" ], "qualificationsBasic" : "5+ years of experience in product development, Experience in formulation development, Experience with private label products", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Development Manager, Formulation - Private Label. Skills: Product development, Formulation. Develop new product formulations. Manage product development projects", "createdAt" : "2026-06-14T18:45:46.435", "lastUpdated" : "2026-06-15T21:16:18.503", "ingestTimestamp" : "2026-06-14T18:45:46.435", "mongoId" : "6a2c652a74d8ee00a08fca55", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product development", "Formulation", "Formulation development", "Product development projects", "Private label products", "Formulation science" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consumer Goods", "llmIndustryConfidence" : 0.95 }, { "id" : "69164db670f0b99d586f38d3", "title" : "Sr. Software Dev. Engineer, Sponsored Products and Brands, Sposored Products", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:41:45.310", "fingerprint" : "6edd7d43ad88a5b48937284be0741ebcc8b1eac110522d1feda60929c9ff2ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120024/apply", "externalId" : "eb82455b-7df0-4e13-9778-cd2d0e7dc1c4", "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/ML", "professionalSkills" : [ "Computer science fundamentals", "System design", "Scalable systems", "High-performance systems", "Reliable systems", "Maintainable systems", "Customer-focused mindset", "Iterative approach", "Software development", "Distributed frameworks", "Advertising optimization", "Ad campaign optimization", "Real-time optimization", "Attribution", "Reporting", "Analytics", "Billing" ], "hardSkillsList" : [ "Software development", "System design", "Architecture design", "Problem solving" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, AI technologies, Scalable systems, High-performance systems", "majorSkillsList" : [ "Generative AI", "AI technologies", "Scalable systems", "High-performance systems" ], "coreResponsibilities" : "Design scalable high-performance systems, Develop scalable high-performance systems, Build services handling billions requests, Maintain response latencies, Meet SLA requirements, Process advertising signals, Orchestrate event enrichments, Vend ad event data", "teamCollaboration" : "External teams; Internal teams", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; Product catalogs; Massive datasets; Advertising lifecycle; Performance advertising; Sponsored Brands Video; Sponsored Display; Ad events; Robotic traffic detection; Geotagging; Event cardinality; Ad campaign optimization; Real-time ad campaigns; Attribution; Reporting; Analytics; Billing", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "product-catalogs", "massive-datasets", "advertising-lifecycle", "performance-advertising", "sponsored-brands-video", "sponsored-display", "ad-events", "robotic-traffic-detection", "geotagging", "event-cardinality", "ad-campaign-optimization", "real-time-ad-campaigns", "attribution", "reporting", "analytics", "billing" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Product catalogs", "Massive datasets", "Advertising lifecycle", "Performance advertising", "Sponsored Brands Video", "Sponsored Display", "Ad events", "Robotic traffic detection", "Geotagging", "Event cardinality", "Ad campaign optimization", "Real-time ad campaigns", "Attribution", "Reporting", "Analytics", "Billing" ], "innovationCreativity" : "Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with artificial intelligence; Developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "5+ years non-internship professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with AI/ML technologies", "qualificationsPreferred" : "5+ years full software development life cycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands 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. Key job responsibilities The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks. About the team The Sponsored Products Marketplace AdClicks team manages the infrastructure that processes trillions of ads every day. We seek a Sr. Development Engineer to lead a large scale and highly available service that centrally processes advertising signals (e.g. ad impressions, views, clicks, video unmutes, etc) for numerous performance advertising businesses (e.g. Sponsored Products, Sponsored Brands, Sponsored Brands Video, and Sponsored Display) . We join millions of ad events per second from various sources, orchestrates business-specific event enrichments (e.g. robotic traffic detection, business validation of chargeable events, geotagging, event cardinality, etc), and vends out authoritative ad event data to support real-time ad campaign optimizations, attribution, reporting, analytics, and billing. 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 AI/ML technologies 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. 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 Dev. Engineer, Sponsored Products and Brands, Sposored Products at Amazon.com Services LLC. Skills: Generative AI, AI technologies, Scalable systems, High-performance systems. Design scalable high-performance systems. Develop scalable high-performance systems", "postedDate" : "2026-06-12T23:07:29.938", "createdAt" : "2026-06-12T23:07:29.938", "lastUpdated" : "2026-06-15T00:41:45.310", "ingestTimestamp" : "2026-06-12T23:07:29.938", "mongoId" : "69164db670f0b99d586f38d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120024/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture design", "Problem solving", "Leadership", "Generative AI", "AI technologies", "Scalable systems", "High-performance systems", "Computer science fundamentals", "Reliable systems", "Maintainable systems", "Customer-focused mindset", "Iterative approach", "Distributed frameworks", "Advertising optimization", "Ad campaign optimization", "Real-time optimization", "Attribution", "Reporting", "Analytics", "Billing", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Product catalogs", "Massive datasets", "Advertising lifecycle", "Performance advertising", "Sponsored Brands Video", "Sponsored Display", "Ad events", "Robotic traffic detection", "Geotagging", "Event cardinality", "Real-time ad campaigns" ], "skillCount" : 36, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a3066c0f292fd229cfb5488", "title" : "Instructional Aide", "company" : "ACCEL Schools", "industry" : "Education", "salary" : { "min" : 30000.0, "max" : 40000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Instructional Aide in Columbus, United States, with adjustments for the Education industry and company size." }, "location" : "Franklin Learning Academy", "locations" : [ "Franklin Learning Academy" ], "certifications" : [ "Paraprofessional’s Exam" ], "timestamp" : "2026-06-16T07:37:24.709", "fingerprint" : "ed53c44b0d4506bb5b84a3dfc336dd0cb4dae62da7440008db68cf23ecd8ba76", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accelschools/jobs/7773765003", "externalId" : "7773765003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "technicalSkills" : "MS Office", "majorSkills" : "Classroom support, Student behavior management", "majorSkillsList" : [ "Classroom support", "Student behavior management" ], "coreResponsibilities" : "Assist teacher with classroom activities, Promote positive student behaviors, Provide oversight for student safety, Ensure positive school climate, Administer assigned duties, Support lessons to individual students, Support lessons to groups of students, Follow instructional plans, Plan classroom activities, Support teacher in student relations, Support teacher in parent relations, Assist with school activities, Assist with parent-faculty nights, Assist with faculty meetings, Assist with assemblies, Assist with commencement exercises, Assist with fundraisers, Chaperone student activities, Provide guidance for students, Participate on faculty committees, Perform clerical duties, Grade papers, Make copies, Assist teacher with classroom technology, Maintain classroom cleanliness, Maintain lunchroom cleanliness, Maintain school area cleanliness, Implement school's philosophy, Implement school's mission statement, Perform field trips, Perform morning duty, Perform dismissal duty, Perform lunch duty, Work cooperatively with teacher, Work cooperatively with others, Act in accordance with Administrator directives, Act in accordance with teacher directives, Contribute to positive climate, Contribute to positive culture, Exhibit high professional standards", "teamCollaboration" : "Work cooperatively with teacher; Work cooperatively with others", "domainKnowledge" : "Early learning; College prep education", "domainList" : [ "early-learning", "college-prep-education" ], "domainSpecificKnowledge" : [ "Early learning", "College prep education" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Written communication; Verbal communication", "specialRequirements" : "BCI/FBI check, Lift 25-40 lbs", "qualificationsBasic" : "Associate degree, Two years of college coursework, Passage of the Paraprofessional’s Exam, Proficiency in MS Office, Successful completion of BCI/FBI check, Ability to meet educational standards, Ability to work well under pressure, Effectively prioritize and execute tasks, Meet deadlines consistently, Understanding and ability to manage confidential information, High quality written and verbal communication skills, Physical ability to lift 25-40 lbs", "qualificationsPreferred" : "Experience in a school setting, Experience in a social services setting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team ACCEL Schools is seeking an Instructional Aide at Franklin Learning Academy in Columbus, OH. Be part of the difference at Franklin Learning Academy! Founded in 2023, Franklin Learning Academy is a premier early learning school for EK-2nd grade students. Located in downtown Columbus, the public charter school features a safe and secure campus, small class sizes, and technology in the classroom. Nurturing teachers and staff support a hands-on, project-based approach to college prep education. Franklin Learning Academy is part of ACCEL Schools, an established network of public charter schools serving K-12 students throughout the United States since 2014. About the Opportunity: The Instructional Aide assists the Teacher with classroom activities and helps to promote positive student behaviors in both academics and extra-curricular activities. The Instructional Aide provides oversight to ensure student safety and a positive school climate. The Instructional Aide assists the School Leader and Teachers by administering the assigned duties in conformity with the philosophy and policies of ACCEL Schools, the assigned school, the school’s governing board, the State Board of Education, and all applicable laws. Duties: Supports lessons taught by the teacher to individual students or groups of students and follows instructional plans as assigned by the Teacher or School Leader Helps plan classroom activities as directed by the Teacher and supports the Teacher in all student and parent relations Assists with school activities, including, but not limited to, parent-faculty nights, faculty meetings, assemblies, commencement exercises, fundraiser, chaperoning student activities, providing guidance for students, participating on faculty committees, etc. Performs clerical duties, including, but not limited to, grading papers and making copies Assists the Teacher in the use of classroom technology Helps maintain the cleanliness of the classroom, lunchroom and other school areas Understands, accepts, abides by, and implements the school’s philosophy and mission statement in all school activities Other duties as assigned, including, but not limited to, field trips, morning duty, dismissal duty, and lunch duty Performance Expectations: Works cooperatively with the Teacher and others Acts in accordance with directives from the Administrator (or designee) and teacher Contributes to a positive climate and culture by exhibiting high professional standard About You: Associate degree, two years of college coursework, or the passage of the Paraprofessional’s Exam Proficiency in MS Office Successful completion of BCI/FBI check Ability to meet educational standards as applicable Ability to work well under pressure, and effectively prioritize and execute tasks to meet deadlines consistently Understanding and ability to manage confidential information High quality written and verbal communication skills Physical ability to lift 25-40 lbs. Experience in a school or social services setting is a plus About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick and mortar, and virtual schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation The starting hourly rate for this position is $16.25/hour. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.", "summaryDescription" : "Instructional Aide at ACCEL Schools. Skills: Classroom support, Student behavior management. Assist teacher with classroom activities. Promote positive student behaviors", "postedDate" : "2026-06-15T23:26:03.331", "createdAt" : "2026-06-15T23:26:03.331", "lastUpdated" : "2026-06-16T07:37:24.709", "ingestTimestamp" : "2026-06-15T23:26:03.331", "mongoId" : "6a3066c0f292fd229cfb5488", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 40000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Classroom support", "Student behavior management", "Early learning", "College prep education", "Paraprofessional’s Exam", "MS Office" ], "skillCount" : 6, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4962beec4dd3d931913", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:12:32.742", "fingerprint" : "2813b7088bf9ddc16d6ae80d87886ea77ec3e51c99e1e27ea13f6612f026c856", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385329/apply", "externalId" : "c8e636df-eba0-4a67-be18-2f67f6c85473", "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" : "Master's", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Java, C++, Python, Deep learning, Machine learning, Computer vision, GenAI, Large language models", "professionalSkills" : [ "Applied research", "Science roadmap", "Product strategy", "Business impact" ], "hardSkillsList" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement" ], "hardSkills" : [ { "name" : "Prompt generation", "level" : "intermediate" }, { "name" : "Quality frameworks", "level" : "intermediate" }, { "name" : "Coverage expansion", "level" : "intermediate" }, { "name" : "Prompt effectiveness", "level" : "intermediate" }, { "name" : "CTR improvement", "level" : "intermediate" }, { "name" : "Helpfulness improvement", "level" : "intermediate" } ], "majorSkills" : "NLP, LLMs, Information Retrieval, Applied Science Management", "majorSkillsList" : [ "NLP", "LLMs", "Information Retrieval", "Applied Science Management" ], "coreResponsibilities" : "Lead team of scientists and engineers, Build and scale prompt generation pipeline, Develop new prompt themes, Develop quality frameworks, Drive coverage expansion, Own science roadmap, Define metrics for prompt effectiveness, Drive experimentation to improve CTR, Drive experimentation to improve helpfulness, Drive experimentation to improve advertiser outcomes, Manage and grow science team, Set research direction, Influence product strategy, Translate science investments into business impact", "teamCollaboration" : "Across organizational boundaries; With engineering teams; With product teams; With business teams", "domainKnowledge" : "Conversational Discovery Experiences; Sponsored Prompts; Large language models", "domainList" : [ "conversational-discovery-experiences", "sponsored-prompts", "large-language-models" ], "domainSpecificKnowledge" : [ "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "innovationCreativity" : "Re-imagining advertising landscape; Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with AI; Transforming advertising lifecycle; Developing responsible AI technologies", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve CTR; Improve helpfulness; Improve advertiser outcomes", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, Master's degree and 6+ years research, Knowledge of ML, NLP, IR, Programming in Java, C++, Python", "qualificationsPreferred" : "Experience building complex software systems, Experience with deep learning, Experience with machine learning, Experience with computer vision, Experience with Data & AI technologies, Experience with GenAI, Experience with Analytics, Experience with Database, Experience with Storage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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. Key job responsibilities We are looking for an Applied Science Manager to lead the Insights & Prompt Generation vertical within the Conversational Discovery Experiences (CAX) team in Sponsored Products and Brands (SPB). This team owns prompt generation, quality, personalization, and coverage for Sponsored Prompts, a new conversational ad format powered by large language models (LLMs) that helps shoppers discover products across Amazon.com. As an Applied Science Manager, you will lead a team of applied scientists and engineers to build and scale the prompt generation pipeline, develop new prompt themes and quality frameworks, and drive coverage expansion across all surfaces. You will own the science roadmap for prompt generation and personalization. You will define the metrics that measure prompt effectiveness and drive experimentation to improve CTR, helpfulness, and advertiser outcomes. This role requires strong technical depth in NLP, LLMs, and information retrieval, combined with the ability to manage and grow a science team, set research direction, and influence product strategy. You will work across organizational boundaries with engineering, product, and business teams to translate science investments into measurable business impact. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage 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 - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: NLP, LLMs, Information Retrieval, Applied Science Management. Lead team of scientists and engineers. Build and scale prompt generation pipeline", "postedDate" : "2026-06-13T17:16:57.553", "createdAt" : "2026-06-13T17:16:57.553", "lastUpdated" : "2026-06-15T02:12:32.742", "ingestTimestamp" : "2026-06-13T17:16:57.553", "mongoId" : "69d5e4962beec4dd3d931913", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385329/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement", "NLP", "LLMs", "Information Retrieval", "Applied Science Management", "Applied research", "Science roadmap", "Product strategy", "Business impact", "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1d870f0b99d58d66a93", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for mid-seniority Software Development Engineers in Toronto, Canada, adjusted for company size and industry." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T06:23:06.930", "fingerprint" : "fe1b236160a4f76ce35542d2eca49e648160786e388346a96fb051be61c924b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103281/apply", "externalId" : "f1f50995-8241-4a95-aa1d-c54ae42ef0d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Distributed systems", "Conversational AI", "Natural language interactions" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Advertising technology", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Advertising technology" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize operation costs, Utilize resources efficiently, Consume tokens efficiently, Minimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of business connection, Create scalable systems, Process millions data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Design scalable APIs, Maintain scalable APIs, Orchestrate agent connections, Build agent-to-agent protocols, Manage agent state, Deliver streaming pipelines, Deliver event-driven pipelines, Support real-time customizations, Integrate with 1P experiences, Build infrastructure governance, Expose systems safely, Empower partners to create experiences, Provide personalized insights, Provide guidance, Account for advertiser catalog, Account for performance metrics, Tailor full page experience, Update individual widgets, Provide interactive automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf, Optimize AI for Sales pitches", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "domainKnowledge" : "Generative AI; Large Language Models; Advertising ecosystem; Agentic systems; AI governance; AI safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-ecosystem", "agentic-systems", "ai-governance", "ai-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "innovationCreativity" : "Pioneer new approaches; Creative problem-solver", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure experiences; Drive business impact", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in Computer Science, Shipped Gen AI features at scale, Deep understanding AI trust safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources 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 - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Advertising technology. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T16:50:06.324", "createdAt" : "2026-06-13T16:50:06.324", "lastUpdated" : "2026-06-15T06:23:06.930", "ingestTimestamp" : "2026-06-13T16:50:06.324", "mongoId" : "68e6b1d870f0b99d58d66a93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103281/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Conversational AI", "Natural language interactions", "Generative AI", "Large Language Models", "Advertising technology", "System design", "Architecture", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a191d8c58b93c861e39688c", "title" : "Chief Operating Officer", "company" : "Kimmel & Associates", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an executive Chief Operating Officer in Dallas, United States, adjusted for the manufacturing industry and company size." }, "location" : "Dallas, TX", "locations" : [ "Dallas", "TX" ], "timestamp" : "2026-06-15T10:14:38.754", "fingerprint" : "01312247e330e863bb750856c01bd8a6c5f3ef52e5988c1af4c9f02f031bf7b7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kimmel-associates.breezy.hr/p/d15438380323-chief-operating-officer-heavy-equipment", "externalId" : "d15438380323", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company Our client is a well-established and rapidly growing heavy equipment dealership serving the construction, infrastructure, and industrial markets. With a strong reputation for customer service, technical expertise, and long-standing OEM partnerships, the organization operates acros", "summaryDescription" : "Chief Operating Officer at Kimmel & Associates", "createdAt" : "2026-06-13T23:59:06.805", "lastUpdated" : "2026-06-15T10:14:38.754", "ingestTimestamp" : "2026-06-13T23:59:06.805", "mongoId" : "6a191d8c58b93c861e39688c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "68e6b1d770f0b99d58d66963", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125500.0, "max" : 188000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Software Development Engineer roles in Toronto, Canada, adjusted for mid-level seniority and a large technology company." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T05:51:39.895", "fingerprint" : "7a15fe5570e358c4a6ce464d28955418041448da7628043b06474a6a1ac739fa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103803/apply", "externalId" : "e3d060d1-4919-4aa5-ba15-d3f10fdd163b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Agentic service platform", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Agentic experiences", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Agentic experiences" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of advertising, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect next-generation AI platform, Build foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain orchestration layers, Build durable communication protocols, Manage agent state frameworks, Deliver streaming pipelines, Support real-time customizations, Own infrastructure governance layers, Expose systems safely, Empower partners to create experiences, Extend platform to external developers, Invest in observability platforms", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "projectManagementSkills" : [ "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations" ], "domainKnowledge" : "Generative AI; Large Language Models; Advertising landscape; AI technologies; Agentic experiences; Distributed systems; Cloud technologies; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-landscape", "ai-technologies", "agentic-experiences", "distributed-systems", "cloud-technologies", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising landscape", "AI technologies", "Agentic experiences", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative problem-solver; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, Experience programming one language, 3+ years full SDLC experience", "qualificationsPreferred" : "Shipped Gen AI features at scale, Deep understanding AI trust/safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources 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 - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Agentic experiences. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T15:59:07.813", "createdAt" : "2026-06-13T15:59:07.813", "lastUpdated" : "2026-06-15T05:51:39.895", "ingestTimestamp" : "2026-06-13T15:59:07.813", "mongoId" : "68e6b1d770f0b99d58d66963", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103803/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Agentic experiences", "System design", "Architecture", "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations", "Advertising landscape", "AI technologies", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69e104422beec4dd3def288c", "title" : "Senior Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:06:13.627", "fingerprint" : "a7a4b4df08e69f3e1b9aa2f22352024c743b4739464b7cfa7e2f475f1d743d7c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385948/apply", "externalId" : "79947a54-7c5e-4f6e-9b74-bc3b15493eae", "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", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel 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 ecosystem. 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. Key job responsibilities As a Senior Applied Scientist on our team, you will * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns. * You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives. * You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses; * Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Translate complex scientific challenges into clear and impactful solutions for business stakeholders. * Mentor and guide junior scientists, fostering a collaborative and high-performing team culture. * Stay up-to-date with advancements and the latest modeling techniques in the field About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC", "postedDate" : "2026-06-13T19:04:25.307", "createdAt" : "2026-06-13T19:04:25.307", "lastUpdated" : "2026-06-15T08:06:13.627", "ingestTimestamp" : "2026-06-13T19:04:25.307", "mongoId" : "69e104422beec4dd3def288c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385948/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a839bc74574cbbb4d31", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:36:20.649", "fingerprint" : "6d689a5c54a8a7117f61e47482b75a6168422f52f743bd77abc6d14df7708e10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199927/apply", "externalId" : "ff5bd593-2dfd-4ddf-bb23-c0fd02ce558e", "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++, Python, Perl, Machine learning, Deep learning, LLM", "professionalSkills" : [ "Machine learning engineering", "Business problems", "Model inference" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, LLM systems", "majorSkillsList" : [ "Machine learning", "Deep learning", "LLM systems" ], "coreResponsibilities" : "Develop machine learning models, Develop optimization strategies, Conduct research on machine learning modeling, Optimize Sponsored Products business, Enhance scalability of training systems, Enhance automation of training systems, Enhance efficiency of training systems, Enhance scalability of inference systems, Enhance automation of inference systems, Enhance efficiency of inference systems, Pioneer model inference infrastructure development, Support machine learning workloads, Work with MLEs, Work with SDEs, Deliver production ready solutions, Assist with system operations", "teamCollaboration" : "Team of engineers and scientists", "domainKnowledge" : "Sponsored Products; Advertising landscape; Generative AI; Customer experience; High-scale machine learning", "domainList" : [ "sponsored-products", "advertising-landscape", "generative-ai", "customer-experience", "high-scale-machine-learning" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Advertising landscape", "Generative AI", "Customer experience", "High-scale machine learning" ], "innovationCreativity" : "Innovate at the intersection; Pushing boundaries", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years building models, PhD or Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Knowledge of C/C++, Python, Java or Perl", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) 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. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of model inference infrastructure to support next-generation machine learning workloads at Amazon Ads scale. * Work closely with MLEs and SDEs to deliver production ready solutions and assist with system operations. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Knowledge of programming languages such as C/C++, Python, Java or Perl 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 - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine learning, Deep learning, LLM systems. Develop machine learning models. Develop optimization strategies", "postedDate" : "2026-06-13T02:24:03.864", "createdAt" : "2026-06-13T02:24:03.864", "lastUpdated" : "2026-06-15T01:36:20.649", "ingestTimestamp" : "2026-06-13T02:24:03.864", "mongoId" : "69c94a839bc74574cbbb4d31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199927/apply", "salaryAnnualMin" : 80000, "salaryAnnualMax" : 193200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "LLM systems", "Machine learning engineering", "Business problems", "Model inference", "Sponsored Products", "Advertising landscape", "Generative AI", "Customer experience", "High-scale machine learning" ], "skillCount" : 19, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e34c40e2acd1b9974a", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 228700.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T06:34:06.169", "fingerprint" : "e48365b86c403c615a246893e6332d35e97417f8226f9370a866d50001d31b19", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "externalId" : "486289d8-494c-400a-8e28-f2291fbb0c9e", "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" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, GenAI, LLM, Analytics, Database, Storage", "professionalSkills" : [ "Product sense", "Science vision", "Execution" ], "hardSkillsList" : [ "ML", "LLM", "GenAI models" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" }, { "name" : "GenAI models", "level" : "intermediate" } ], "majorSkills" : "Gen AI, Applied Science, Product Development", "majorSkillsList" : [ "Gen AI", "Applied Science", "Product Development" ], "coreResponsibilities" : "Manage projects at all stages, Tackle challenging problems, Coordinate high profile projects, Ensure customer and business goals are met, Interface across product, science, and engineering teams, Drive mechanisms for team efficiency, Operate with high degree of autonomy, Prioritize projects and features, Plan projects and features, Manage partners, Track external commitments, Recommend alternative technical approaches, Partner with product, science, and engineering teams, Meet timelines, Role model use of GenAI, Design Gen AI solutions, Implement Gen AI solutions, Create effective ad campaigns, Improve overall experience", "teamCollaboration" : "Cross functional teams; Ads and Retail organizations", "projectManagementSkills" : [ "Project management", "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Generative AI; Advertising landscape; Brand advertising", "domainList" : [ "generative-ai", "advertising-landscape", "brand-advertising" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Brand advertising" ], "innovationCreativity" : "Invent new product experiences", "qualificationsBasic" : "PhD in Electrical Engineering, Computer Science, Mathematics, or related technical field, 7+ years working with Data & AI technologies, 7+ years designing or architecting systems, 7+ years working directly with engineering teams, 7+ years technical product or program management experience", "qualificationsPreferred" : "8+ years hands-on managing complex technology projects, Experience managing projects across cross functional teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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. The Sponsored Brands team at Amazon is building the next generation of brand advertising products and platforms for advertisers using Gen AI. This role presents an opportunity to join us at the ground floor of this transformation, which is a core part of Amazon's overall business strategy. You will be the Gen AI applied science leader that will determine what products and ads show up in the most critical ad placements across Amazon. You'll have opportunities to deliver at the highest technical level, working with science, product, engineering, and UX, all directly connected to a marketplace of supply and demand. In this highly visible role, you'll collaborate across multiple stakeholders within Ads and Retail. We are seeking a Gen AI Applied Science inventor who has strong product sense, with a proven track record with hands on science vision and execution while building high impact products from the ground up. you will have the opportunity to apply your deep subject matter expertise in the area of ML, LLM and GenAI models. You will invent new product experiences that enable novel advertiser and shopper experiences. This role will work on bringing state-of-the-art GenAI models to production. You will define the long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers. Key job responsibilities You will play a pivotal role in managing projects at all stages: inception, design, development, deployment and subsequent improvements. You will tackle challenging problems and coordinate high profile projects across multiple teams to ensure customer and business goals are met. You will interface across product, science, and engineering teams within the advertising and retail organizations. You will drive mechanisms that allow the team to move quickly and deliver strong results. You will operate with a high degree of autonomy and efficiency. You'll be responsible for project management - prioritize, plan projects and features, manage partners, and track external commitments. You will recommend alternative technical approaches and partner with product, science, and engineering teams to meet timelines. You will actively role model the use of GenAI to make the team more efficient. About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit. Basic Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - 7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition Preferred Qualifications: - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Palo Alto - 228,700.00 - 309,400.00 USD annually USA, NY, New York - 218,800.00 - 295,900.00 USD annually USA, WA, SEATTLE - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Gen AI, Applied Science, Product Development. Manage projects at all stages. 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Morsani Surgery Center (MORSANISUR)
13330 USF Laurel Drive
MDH 2nd Floor
Tampa, 33612

" ], "certifications" : [ "BLS", "ACLS", "PALS" ], "timestamp" : "2026-06-16T02:52:34.382", "fingerprint" : "83c5b42e39a6cd1e355e5081195fd460e058c4b0bd46884d5dfe1ceeebf4cd90", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=669679", "externalId" : "669679", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Nursing care delivery", "Nursing documentation", "Goal-directed plan" ], "hardSkillsList" : [ "Patient care", "Nursing process" ], "hardSkills" : [ { "name" : "Patient care", "level" : "intermediate" }, { "name" : "Nursing process", "level" : "intermediate" } ], "majorSkills" : "Operating Room experience, Nursing care delivery", "majorSkillsList" : [ "Operating Room experience", "Nursing care delivery" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan and implement nursing, Document nursing, Identify and report situations requiring further, Formulate and communicate goal-directed plan, Assure patient rights, Perform job duties in accordance with mission, vision", "domainKnowledge" : "Ambulatory surgery; Outpatient surgery", "domainList" : [ "ambulatory-surgery", "outpatient-surgery" ], "domainSpecificKnowledge" : [ "Ambulatory surgery", "Outpatient surgery" ], "documentationSkills" : "Nursing documentation", "qualificationsBasic" : "Graduate of an accredited School, License to practice as a Registered Nurse in Florida, BSN or ASN with greater than one year experience, 1 year of Operating Room experience, BLS & ACLS required", "qualificationsPreferred" : "Ambulatory/ Outpatient Surgery Center experience, Previous experience in an Emergency Department, Previous experience in an ICU, PALS preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. Plans and implements nursing care; documents nursing assessments; identifies and reports situations requiring further intervention; formulates and communicates goal-directed plan of care; assures patient rights. Responsible for performing job duties in accordance with the mission, vision and values of InterHealth Staffing Company and principles of quality improvement. Graduate of an accredited School of Nursing; licensure to practice as a Registered Nurse in the State of Florida. BSN or ASN with greater than one year experience required. 1 year of Operating Room experience required. Ambulatory/ Outpatient Surgery Center experience preferred. Previous experience in an Emergency Department or ICU preferred. BLS & ACLS required. PALS preferred. *This position does not work holidays and weekends. Tampa", "summaryDescription" : "Operating Room Clinical Nurse at InterHealth Staffing Company. Skills: Operating Room experience, Nursing care delivery. Deliver nursing care to patients. Plan and implement nursing", "createdAt" : "2026-06-14T19:47:33.922", "lastUpdated" : "2026-06-16T02:52:34.382", "ingestTimestamp" : "2026-06-14T19:47:33.922", "mongoId" : "69cf26132beec4dd3d90b5a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Patient care", "Nursing process", "Operating Room experience", "Nursing care delivery", "Nursing documentation", "Goal-directed plan", "Ambulatory surgery", "Outpatient surgery", "BLS", "ACLS", "PALS" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3067b4f292fd229cfc0d03", "title" : "Instructional Designer", "company" : "Anaplan", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Instructional Designer in Manila, Philippines, adjusted for senior seniority and SaaS industry." }, "location" : "Manila, Manila, Philippines", "locations" : [ "Manila", "Manila", "Philippines" ], "timestamp" : "2026-06-16T07:38:00.965", "fingerprint" : "a2d8ff6259cadf3c5863dbf20f33e20292b81a667d734f5956460f4cd6209ff6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anaplan/jobs/8591926002", "externalId" : "8591926002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manila", "state" : "Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5904492,120.9803621" } ], "locationText" : "Manila, Manila, Philippines", "rawDescription" : "At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! About the Role: Anaplan is looking for an Instructional Designer to join our Anaplan Academy team. We are looking for a learning professional that’s innovative, curious, and a great collaborator. This individual should be passionate about delivering an exceptional learning experience in a fast-paced environment driven by ongoing innovation. The role will report to the Director of Curriculum Development, responsible for designing and developing learning experiences for technical learners that include Professional Services, delivery partners, and customers. The role will work across the Academy team, as well as partner across the organization with teams such as Product, Engineering, and Innovation Readiness & Excellence. Our ideal candidate is learner-centric in their approach and is experienced in using AI to accelerate instructional design and curriculum development workflows. Key Responsibilities: Design modular learning experiences that are high-quality, interactive, and effective spanning on-demand and facilitated experiences Develop engaging learning content such as videos, interactive simulations, and hands-on experiences aligned to the Anaplan brand Build relationships across the organization and effectively partner with subject matter experts to design and develop learning experiences Prepare train-the-trainer materials and lead train-the-trainer efforts to transition finalized content to the delivery (facilitation) team Learn the Anaplan platform and stay up to date on the latest innovations, including earning and maintaining various Anaplan certifications and credentials Demonstrate end-to-end ownership of the instructional design and curriculum development workflow to drive successful delivery of the learning experience Your Experience: 5+ years of instructional design and curriculum development experience Proven application of learning theories, including adult learning theory and cognitive load theory, to training design and development for software/technical products Experience working with content authoring tools, such as Articulate Storyline, Articulate Rise, and Synthesia Proven ability to effectively use AI agents to accelerate instructional design and curriculum development workflows (experience creating AI agents is a plus) Demonstrated ability to work independently with minimal guidance, proactively manages stakeholders and tasks across multiple projects, and thrives in a fast-paced, results-driven environment Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.  Fraud Recruitment Disclaimer  It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.   Anaplan does not:  Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  ", "summaryDescription" : "Instructional Designer at Anaplan", "postedDate" : "2026-06-15T23:25:56.592", "createdAt" : "2026-06-15T23:25:56.592", "lastUpdated" : "2026-06-16T07:38:00.965", "ingestTimestamp" : "2026-06-15T23:25:56.592", "mongoId" : "6a3067b4f292fd229cfc0d03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8970f0b99d5843fc3e", "title" : "Transactions Analyst, Global Fleet and Products Electrification", "company" : "Amazon.com Services LLC", "industry" : "Administrative Support, transportation and logistics", "salary" : { "min" : 43900.0, "max" : 79800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T05:56:51.149", "fingerprint" : "23a3c4100306eed342d79fc3a182077e03601e7f6ffbb1f6df507d3562c2551d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139180/apply", "externalId" : "d60c5dd2-dfd2-4675-8f36-f0fafe177088", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent", "experienceMinYears" : 2, "technicalSkills" : "Microsoft Office, Microsoft Excel", "professionalSkills" : [ "Demand validation", "Supply strategy alignment", "Order management", "Invoice reconciliation", "Data integrity", "Procurement systems", "ERP systems" ], "hardSkillsList" : [ "Material transactions", "Purchase requisitions", "Order creation", "Receiving", "Invoice reconciliation", "Procurement", "Purchasing", "Supply chain" ], "hardSkills" : [ { "name" : "Material transactions", "level" : "intermediate" }, { "name" : "Purchase requisitions", "level" : "intermediate" }, { "name" : "Order creation", "level" : "intermediate" }, { "name" : "Receiving", "level" : "intermediate" }, { "name" : "Invoice reconciliation", "level" : "intermediate" }, { "name" : "Procurement", "level" : "intermediate" }, { "name" : "Purchasing", "level" : "intermediate" }, { "name" : "Supply chain", "level" : "intermediate" } ], "majorSkills" : "Material transactions, Procurement, Supply chain", "majorSkillsList" : [ "Material transactions", "Procurement", "Supply chain" ], "coreResponsibilities" : "Execute comprehensive material transactions for electrical equipment, Create purchase requisitions, Create orders, Receive materials, Reconcile invoices, Partner with material managers to validate demand signals, Align with supply strategies, Monitor order statuses, Resolve discrepancies in pricing, Resolve discrepancies in quantity, Resolve discrepancies in delivery timelines, Maintain precise procurement system records, Support continuous improvement initiatives to optimize ordering processes, Support continuous improvement initiatives to optimize invoicing processes, Track electrical equipment orders, Manage electrical equipment orders", "teamCollaboration" : "Multiple teams; Cross-functional communication", "projectManagementSkills" : [ "End-to-end project management" ], "domainKnowledge" : "Electric vehicle fleet; Sustainable transportation; Zero-emission vehicle infrastructure; Global fleet electrification", "domainList" : [ "electric-vehicle-fleet", "sustainable-transportation", "zero-emission-vehicle-infrastructure", "global-fleet-electrification" ], "domainSpecificKnowledge" : [ "Electric vehicle fleet", "Sustainable transportation", "Zero-emission vehicle infrastructure", "Global fleet electrification" ], "toolProficiency" : [ "Coupa", "Oracle", "SAP" ], "problemSolvingSkills" : "Problem-solving; Analytical skills; Process accuracy; Process efficiency", "specialRequirements" : "Work 40 hours/week, Overtime as required, Flexible schedule/shift/work area, Weekends, nights, and/or holidays", "qualificationsBasic" : "2+ years of professional or military experience, 1+ years of working with computers and Microsoft Office products and applications experience, 1+ years of procurement, purchasing, supply chain related work in a procurement organization experience, Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company", "qualificationsPreferred" : "Experience with end-to-end project management, Experience supporting infrastructure, manufacturing, or construction projects, analytical and problem-solving skills with focus on process accuracy and efficiency, Excellent communication and cross-functional collaboration skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our mission to revolutionize sustainable transportation by powering the world's largest electric delivery fleet! As a key player in Amazon's Global Fleet Electrification team, you'll be instrumental in managing critical material transactions that keep our zero-emission vehicle infrastructure moving forward. Your work will directly contribute to reducing carbon emissions and transforming how goods are delivered globally. Key job responsibilities - Execute comprehensive material transactions for electrical equipment, including purchase requisitions, order creation, receiving, and invoice reconciliation - Partner with material managers to validate demand signals and align with supply strategies - Monitor order statuses and proactively resolve discrepancies in pricing, quantity, and delivery timelines - Maintain precise procurement system records to ensure data integrity and compliance - Support continuous improvement initiatives to optimize ordering and invoicing processes A day in the life Your day will be dynamic and impactful, focusing on tracking and managing electrical equipment orders from start to finish. You'll collaborate with multiple teams, ensuring smooth material procurement processes that support our ambitious electric vehicle deployment strategy. Expect to engage in problem-solving, data management, and cross-functional communication that keeps our electrification initiatives running seamlessly. About the team We are a passionate group dedicated to building the largest electric vehicle fleet in the world. Our team sits at the intersection of sustainability, logistics, and innovation, working to transform Amazon's delivery infrastructure. We value collaborative problem-solvers who are excited about making a tangible environmental impact through transportation solutions. Basic Qualifications: - 2+ years of professional or military experience - 1+ years of working with computers and Microsoft Office products and applications experience - High school or equivalent - Work 40 hours/week, and overtime as required - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 1+ years of procurement, purchasing, supply chain related work in a procurement organization experience - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company - Proficiency with Microsoft Excel and familiarity with procurement or ERP systems (e.g., Coupa, Oracle, SAP). Preferred Qualifications: - Experience with end-to-end project management - Experience supporting infrastructure, manufacturing, or construction projects. - Strong analytical and problem-solving skills with focus on process accuracy and efficiency. - Excellent communication and cross-functional collaboration skills. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43,900/year in our lowest geographic market up to $79,800/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" : "Transactions Analyst, Global Fleet and Products Electrification at Amazon.com Services LLC. Skills: Material transactions, Procurement, Supply chain. Execute comprehensive material transactions for electrical equipment. Create purchase requisitions", "postedDate" : "2026-06-13T16:30:16.357", "createdAt" : "2026-06-13T16:30:16.357", "lastUpdated" : "2026-06-15T05:56:51.149", "ingestTimestamp" : "2026-06-13T16:30:16.357", "mongoId" : "693c2b8970f0b99d5843fc3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139180/apply", "salaryAnnualMin" : 43900, "salaryAnnualMax" : 79800, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Material transactions", "Purchase requisitions", "Order creation", "Receiving", "Invoice reconciliation", "Procurement", "Purchasing", "Supply chain", "Demand validation", "Supply strategy alignment", "Order management", "Data integrity", "Procurement systems", "ERP systems", "End-to-end project management", "Electric vehicle fleet", "Sustainable transportation", "Zero-emission vehicle infrastructure", "Global fleet electrification", "Coupa", "Oracle", "SAP" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308ea2f292fd229c0a468e", "title" : "Operating Room Registered Nurse - PRN", "company" : "Munson Healthcare", "industry" : "Hospital And Health Care", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry Level Operating Room Registered Nurse in Traverse City, United States, with adjustments for the healthcare industry and company size." }, "location" : "Traverse City, Michigan, United States", "locations" : [ "Traverse City", "Michigan", "United States" ], "certifications" : [ "Registered Nurse license in Michigan" ], "timestamp" : "2026-06-16T13:17:24.833", "fingerprint" : "0db2f4b7039f0f0c11c1b1263393df23ee7baa0118da930fc0cda68d9aa943bc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MunsonHealthcare1/3743990013625636-operating-room-registered-nurse-prn-traverse-city-mi", "externalId" : "3743990013625636", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "majorSkills" : "Surgical care, Operating room nursing", "majorSkillsList" : [ "Surgical care", "Operating room nursing" ], "coreResponsibilities" : "Perform surgical procedures, Achieve top quartile performance", "teamCollaboration" : "Close-knit OR team", "domainKnowledge" : "Surgical specialties; Robotic surgery; Minimally invasive procedures; Advanced heart surgery; Level II Trauma Center", "domainList" : [ "surgical-specialties", "robotic-surgery", "minimally-invasive-procedures", "advanced-heart-surgery", "level-ii-trauma-center" ], "domainSpecificKnowledge" : [ "Surgical specialties", "Robotic surgery", "Minimally invasive procedures", "Advanced heart surgery", "Level II Trauma Center" ], "continuousLearning" : "Ongoing educational opportunities; Tuition reimbursement", "specialRequirements" : "Vaccinated for Measles, Mumps, Rubella, Varicella, Annual flu vaccine", "outcomesObjectives" : "Perform more than 65 surgeries daily", "qualificationsBasic" : "Active Registered Nurse license in Michigan, Minimum one year medical/surgical experience", "qualificationsPreferred" : "Operating room experience desirable", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Find more than your next job. Find your community. * We’re northern Michigan’s largest healthcare system and we are deeply rooted in the communities we serve. That means that our patients are often our family, friends and neighbors – and it’s special to be able to care for them. And as one of the top healthcare systems to work for in Michigan by Forbes (American’s Best Employers by State 2022), we’re committed to your ongoing growth and development. * After work, you’ll find things to do in every season – beaches, outdoor recreation, unique restaurants, world-class wineries, arts and entertainment. Why Choose Munson Healthcare: * Balance – Get out on the water, in the woods, on the trails or around town * Opportunity – Be a part of northern Michigan’s leading healthcare team with opportunities for personal and professional growth throughout the healthcare system * Flexibility – A career that can change as your life changes * Teamwork – Our people make Munson Healthcare a great place to work! At Munson Medical Center, our operating room teams work together to achieve top quartile performance for overall surgical care and perform more than 65 surgeries daily. Our 21 surgical suites include a hybrid OR, expanding robotics and minimally invasive procedures, including advanced heart surgery. Why work as an Operating Room Nurse at MMC? * Be part of a close-knit OR team who nurture a culture of caring every day. * Our 21 surgical suites include 3 hybrid ORs. We offer all surgical specialties including robotic surgery, TAVR, and stroke programs. And skylights allow you to work in natural light. * We’re a Level II Trauma Center with a surgical hospitalist program. * Our dynamic work environment includes many opportunities for growth and development. ## Qualifications * Active Registered Nurse license in the State of Michigan Graduate nurses and new RNs are accepted * Minimum of one year medical/surgical experience, operating room experience desirable ## Additional Information The Benefits of Working at Munson: * Competitive salaries * Full benefits, paid holidays, and paid time off (up to 19 days your first year) * Tuition reimbursement and ongoing educational opportunities * Retirement savings plan with employer match and personal consulting * Wellness plans, an employee assistance program and employee discounts *Terms and conditions apply About Traverse City, Michigan Traverse City is an official “Coast Guard City” and sits at the base of twin bays. We have award-winning schools, a community college, year-round recreation, as well as vibrant cultural and social opportunities often found in much larger cities. Munson Healthcare requires all employees be vaccinated or have lab confirmed immunity for Measles, Mumps, Rubella and Varicella. MHC also requires all employees to receive a flu vaccine during the flu season in the year that they are hired and annually thereafter, or receive an approved medical or religious exemption.", "summaryDescription" : "Operating Room Registered Nurse - PRN at Munson Healthcare. Skills: Surgical care, Operating room nursing. Perform surgical procedures. 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Find your community. * We’re northern Michigan’s largest healthcare system and we are deeply rooted in the communities we serve. That means that our patients are often our family, friends and neighbors – and it’s special to be able to care for them. And as one of the top healthcare systems to work for in Michigan by Forbes (American’s Best Employers by State 2022), we’re committed to your ongoing growth and development. * After work, you’ll find things to do in every season – beaches, outdoor recreation, unique restaurants, world-class wineries, arts and entertainment. Why Choose Munson Healthcare: * Balance – Get out on the water, in the woods, on the trails or around town * Opportunity – Be a part of northern Michigan’s leading healthcare team with opportunities for personal and professional growth throughout the healthcare system * Flexibility – A career that can change as your life changes * Teamwork – Our people make Munson Healthcare a great place to work! At Munson Medical Center, our operating room teams work together to achieve top quartile performance for overall surgical care and perform more than 65 surgeries daily. Our 21 surgical suites include a hybrid OR, expanding robotics and minimally invasive procedures, including advanced heart surgery. Why work as an Operating Room Nurse at MMC? * Be part of a close-knit OR team who nurture a culture of caring every day. * Our 21 surgical suites include 3 hybrid ORs. We offer all surgical specialties including robotic surgery, TAVR, and stroke programs. And skylights allow you to work in natural light. * We’re a Level II Trauma Center with a surgical hospitalist program. * Our dynamic work environment includes many opportunities for growth and development. ## Qualifications * Active Registered Nurse license in the State of Michigan Graduate nurses and new RNs are accepted * Minimum of one year medical/surgical experience, operating room experience desirable ## Additional Information The Benefits of Working at Munson: * Competitive salaries * Full benefits, paid holidays, and paid time off (up to 19 days your first year) * Tuition reimbursement and ongoing educational opportunities * Retirement savings plan with employer match and personal consulting * Wellness plans, an employee assistance program and employee discounts *Terms and conditions apply About Traverse City, Michigan Traverse City is an official “Coast Guard City” and sits at the base of twin bays. We have award-winning schools, a community college, year-round recreation, as well as vibrant cultural and social opportunities often found in much larger cities. Munson Healthcare requires all employees be vaccinated or have lab confirmed immunity for Measles, Mumps, Rubella and Varicella. MHC also requires all employees to receive a flu vaccine during the flu season in the year that they are hired and annually thereafter, or receive an approved medical or religious exemption.", "summaryDescription" : "Operating Room Registered Nurse - PRN at Munson Healthcare. Skills: Surgical care, Operating room nursing. Perform surgical procedures. 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We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About Our Team: The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products. About This Role: As an Applied Scientist on our team, you will: * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses. * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Stay up-to-date with advancements and the latest modeling techniques in the field. * Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems. #GenAI Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 3+ years in digital advertising technology. Preferred Qualifications: - Demonstrated track record of innovative AI solution development. - Experience with generative model architectures. - Research publications or patents in generative AI technologies. 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 $136,000/year in our lowest geographic market up to $223,400/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" : "Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Model development, Advertising technology. Develop AI solutions. Build monetization systems", "postedDate" : "2026-06-12T23:40:34.531", "createdAt" : "2026-06-12T23:40:34.531", "lastUpdated" : "2026-06-15T02:25:10.237", "ingestTimestamp" : "2026-06-12T23:40:34.531", "mongoId" : "69164da470f0b99d586f3162", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122617/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Model development", "A/B testing", "Generative models", "Generative AI", "Advertising technology", "Science leadership", "Organizational ability", "Technical strength", "Product focus", "Business understanding", "Digital advertising" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0df91758b93c861ebd9e1b", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:32:08.536", "fingerprint" : "e45e1f00f8acdd919f73d76bed8c7973a56bf1ffaa338ba7a0602225defa4d98", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410623/apply", "externalId" : "14b7b43f-99d4-45ec-81ec-2298bbf93f7b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Event-driven architecture, Serverless architecture, Big data systems, Machine learning, Generative AI", "professionalSkills" : [ "Ad tech systems", "Customer understanding", "Driving results" ], "hardSkillsList" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine learning, Ad tech, Big data", "majorSkillsList" : [ "Generative AI", "Machine learning", "Ad tech", "Big data" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale big data systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; External partners; Internal partners; Scientists; Economists", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI technologies; Advertising landscape", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai-technologies", "advertising-landscape" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI technologies", "Advertising landscape" ], "innovationCreativity" : "Next innovations; Invent ML-based approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming at least one language", "qualificationsPreferred" : "5+ years full software development lifecycle, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. 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: - 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 in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Machine learning, Ad tech, Big data. Design new components. 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Retail partner teams; Software engineers; Product managers", "domainKnowledge" : "Generative AI; Advertising landscape; Advertising lifecycle; Advertising experiences; Marketplace", "domainList" : [ "generative-ai", "advertising-landscape", "advertising-lifecycle", "advertising-experiences", "marketplace" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Advertising lifecycle", "Advertising experiences", "Marketplace" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "innovationCreativity" : "Re-imagining advertising landscape; Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve ads experience; Drive quantifiable revenue impact", "qualificationsBasic" : "3+ years building ML models, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning", "qualificationsPreferred" : "Modeling tools experience, Large scale distributed systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands 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. About our team The Gnome team within the Sponsored Products and Brands (SPB) improves ad selection helping shoppers reach their shopping mission. To do this, we apply a broad range of machine learning, causal inference, reinforcement learning based optimization techniques and LLMs to continuously explore, learn, and optimize ads shown. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the ads experience by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them. A day in the life As a Senior Applied Scientist on this team, you will be responsible to improve quality of ads shown using in-session and offline signals via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. #GenAI Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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" : "Applied Scientist III, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine learning, Causal inference, Reinforcement learning, LLMs. Improve quality of ads shown. Use in-session and offline signals", "postedDate" : "2026-06-13T10:33:23.051", "createdAt" : "2026-06-13T10:33:23.051", "lastUpdated" : "2026-06-15T04:42:56.908", "ingestTimestamp" : "2026-06-13T10:33:23.051", "mongoId" : "6931903370f0b99d580879f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137028/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs", "Online experimentation", "ML modeling", "Customer obsession", "Inventing", "Simplifying", "Optimization techniques", "ML solutions", "Generative AI", "Advertising landscape", "Advertising lifecycle", "Advertising experiences", "Marketplace", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305a03f292fd229cf4c7ec", "title" : "Instructional Coach", "company" : "Lansing School District", "industry" : "LSEA Teacher", "salary" : { "min" : 50285.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Lansing, MI", "locations" : [ "Lansing, MI" ], "timestamp" : "2026-06-16T12:53:46.229", "fingerprint" : "7f47d0bf33feed4904166a3bef69cffb5975e777d7b42296d99cb3aaca82b54c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lansingschools/fc0334e4-4279-4ed0-960c-18d81fa57b45/apply", "externalId" : "fc0334e4-4279-4ed0-960c-18d81fa57b45", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lansing", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7338254,-84.5546295" } ], "locationText" : "Lansing, Michigan, United States", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 5, "remoteFriendly" : false, "rawDescription" : "## Description The Lansing School District serves over 10,000 PreK-12 students across 25 school buildings in the increasingly diverse urban community of Lansing, MI. We are unique compared to other districts because of the wide variety of exciting and innovative educational options from which families and staff members can choose. All of Lansing School District’s team members are dedicated to our mission to provide an excellent education to all students in a safe and nurturing environment. In the pursuit of our mission, we are hiring Instructional Coaches. Instructional Coaches enhance student achievement by supporting teachers and teams. Using research-based models, they collaborate with educators to set clear goals and develop action plans addressing instructional needs. Coaches assist with resource gathering, model best practices, analyze data, and monitor progress. They provide professional development aligned with district goals. Successful coaches foster true partnerships, learning alongside teachers through a flexible and adaptable coaching process. Keeping detailed records, they collaborate with peers to improve teaching practices continuously. Coaches receive ongoing training for professional growth. ## Minimum Qualifications Bachelor's Degree in education or related field Three consecutive years of Effective or Highly Effective ratings. Five years teaching experience. Alignment with Lansing School District's mission and values ## Preferred Qualifications Valid Michigan Teacher Certificate (will be required to enroll in program if don't currently possess) Master's Degree in education or related field Preferred experience a coaching or leadership position in an urban school setting ## Job Responsibilities Improve student achievement through teacher created goals that improve instruction. Utilize the LSD coaching models to provide support to all teachers via one-on-one coaching and teacher teams. Build and maintain positive, trusting relationships with teachers and administrators through effective and confidential communication. Follow established protocol to pursue and initiate new coaching partnerships with teachers to maintain a full coaching caseload. Provide professional learning follow-up implementation support through instructional coaching to connect new learning to improve instruction. Demonstrate resourcefulness to meet teacher needs, including reviewing related research, identifying tools, and creating connections with others that have expertise in that area of need. Maintain a professional calendar and instructional coaching log of coaching and non-coaching activities. Participate in Instructional Coach leadership meetings, training, and PLCs (synchronous and asynchronous) to provide consistent and strategic support to all teachers. Work collaboratively with other Instructional Coaches across the district. Utilize existing curricular programs, platforms, and resources while collaborating with colleagues to provide robust support services. Participate in specialized training as requested to provide support to teachers. Continually monitor effectiveness using student data and feedback from stakeholders. Maintain professional discretion with teachers and coaches. Other duties as assigned to best support the Lansing School District mission ## Additional Information At Lansing School District, we champion diversity, equity, and inclusion, providing equal opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or sexual orientation. We foster a rich environment for professional growth and student experiences by valuing diverse perspectives. As an equal opportunity employer, we invite passionate individuals dedicated to educational excellence to apply for our positions. We value internal mobility and list \"Strong Internal Candidate\" when considering an internal candidate before posting a job. We still encourage all candidates to apply. Complete the attached online application at your earliest convenience. If selected, we will contact you to set up an interview. While we strive to provide prompt feedback, the high volume of applicants may limit our ability to do so. All of our jobs will be posted for at least 10 days (unless otherwise noted), but we will review applications on a rolling basis. External candidates interested in multiple positions within the same department need only apply to one posting and can indicate other roles of interest in the final question. We will consider your application for various roles based on your qualifications. Internal candidates should apply using their SSO email address and submit separate applications for each role of interest. Thank you for your interest in joining our mission-driven team. We look forward to meeting you! This job description is intended to outline the general responsibilities and qualifications for the position. It is not an exhaustive list of duties, and the Lansing School District reserves the right to modify job responsibilities as needed. Due to the evolving needs of the District, additional job responsibilities may be assigned (depending on funding sources).", "summaryDescription" : "Instructional Coach at Lansing School District", "postedDate" : "2026-06-15T15:05:59.274", "createdAt" : "2026-06-15T15:05:59.274", "lastUpdated" : "2026-06-16T12:53:46.229", "ingestTimestamp" : "2026-06-16T03:22:39.632", "mongoId" : "6a305a03f292fd229cf4c7ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50285, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25146374d8ee00a00bb763", "title" : "Software Development Engineer II, Sponsored Products and Brands", "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" : "2026-06-15T08:51:03.300", "fingerprint" : "138765dcc087e459b9e91bc3750703a9e45f6e80c30b36ab47d454f29d5827de", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440399/apply", "externalId" : "428ef94a-2aac-48b5-94a5-036303f57c0c", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Object Oriented Design" ], "hardSkills" : [ { "name" : "Object Oriented Design", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Software development, AI technologies", "majorSkillsList" : [ "Generative AI", "Software development", "AI technologies" ], "coreResponsibilities" : "Contribute to full software development lifecycle, Scoping, Design, Code, Testing, Deployment, Maintenance, Solve software challenges, Demonstrate operational excellence, Active in operational support, Identify root causes, Resolve issues, Participate in code review, Provide feedback, Collaborate with data scientists, Collaborate with product managers, Establish best practices, Drive improvements, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI technologies; Advertising landscape; Advertising lifecycle", "domainList" : [ "generative-ai-technologies", "advertising-landscape", "advertising-lifecycle" ], "domainSpecificKnowledge" : [ "Generative AI technologies", "Advertising landscape", "Advertising lifecycle" ], "innovationCreativity" : "Pushing boundaries with AI", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, 1+ years software development engineer experience, 1+ years large-scale software applications experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands 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. Key job responsibilities • You are a significant contributor to the full software development lifecycle, including scoping, design, code, testing, deployment, and maintenance. • Solve difficult software challenges using state-of-the-art technology. • Demonstrate operational excellence in all your work and are active in operational support, ensuring root causes of issues are identified and resolved. • Actively participate in code review, provide meaningful feedback to other to raise the bar. • Collaborate with data scientists and product managers on machine learning experiments. • Establish best practices and drive improvements in design, development, and operations. • Mentor junior engineers in design, coding, troubleshooting, and operational excellence. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Background in advertising technology or e-commerce platforms - Demonstrated track record of innovative AI solution development - Experience with generative model architectures 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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer II, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Software development, AI technologies. Contribute to full software development lifecycle. Scoping", "postedDate" : "2026-06-14T01:36:31.895", "createdAt" : "2026-06-14T01:36:31.895", "lastUpdated" : "2026-06-15T08:51:03.300", "ingestTimestamp" : "2026-06-14T01:36:31.895", "mongoId" : "6a25146374d8ee00a00bb763", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440399/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object Oriented Design", "Generative AI", "Software development", "AI technologies", "System design", "Reliability", "Scaling", "Generative AI technologies", "Advertising landscape", "Advertising lifecycle" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30565df292fd229cf28d33", "title" : "Legal Counsel (Commercial & Products)", "company" : "BTSE Group", "industry" : "Legal", "salary" : { "min" : 1800000.0, "max" : 2800000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Legal Counsel in Taipei, Taiwan's FinTech industry, adjusted for company size and specific role responsibilities." }, "location" : "Taipei", "locations" : [ "Taipei" ], "timestamp" : "2026-06-16T15:26:21.833", "fingerprint" : "5e5253ccdbd50c12219e9f9fe48ab83e5b184a586e89bf4b2718c41c3ac5eb5f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/BTSE/bc34a250-62c7-4309-907b-b35ef2ee2fe5/apply", "externalId" : "bc34a250-62c7-4309-907b-b35ef2ee2fe5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Contract negotiation", "Legal analysis", "Risk management" ], "hardSkillsList" : [ "Commercial contracts", "Vendor agreements", "Terms of service" ], "softSkillsList" : [ "Agile" ], "hardSkills" : [ { "name" : "Commercial contracts", "level" : "intermediate" }, { "name" : "Vendor agreements", "level" : "intermediate" }, { "name" : "Terms of service", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Agile" } ], "majorSkills" : "Commercial law, FinTech, Crypto", "majorSkillsList" : [ "Commercial law", "FinTech", "Crypto" ], "coreResponsibilities" : "Draft commercial contracts, Review commercial contracts, Negotiate commercial contracts, Manage contract pipelines, Negotiate vendor agreements, Spearhead product launch projects, Act as legal partner for product teams, Act as legal partner for engineering teams, Ensure new features launch with solid terms of, Ensure new features launch with minimal user friction", "teamCollaboration" : "Working as part of a team", "domainKnowledge" : "Crypto; Web3; FinTech", "domainList" : [ "crypto", "web3", "fintech" ], "domainSpecificKnowledge" : [ "Crypto", "Web3", "FinTech" ], "communicationSkills" : "Explain complex legal risks", "qualificationsBasic" : "Qualified lawyer, 3+ years post-qualification experience, Experience in FinTech, Web3, or crypto exchanges, Deep understanding of crypto, High risk-tolerance for ambiguity, Creative drafting, Ability to explain complex legal risks to non-lawyers, Hands on at work, Independent in managing complex projects, Great communication skills in English and Chinese, Familiar with crypto use cases", "qualificationsPreferred" : "Mix of top-tier law firm training and in-house experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description About BTSE: 彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market. BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams. About the Opportunity: We are looking for a sharp, agile Commercial Lawyer to handle the operational heartbeat of the exchange. You will manage everyday contract pipelines, negotiate vendor agreements, and spearhead product launch projects. ## Responsibilities Draft, review, and negotiate a high volume of commercial contracts (e.g., SaaS, marketing partnerships, market maker agreements, and liquidity provider layouts). Act as the primary legal partner for product and engineering teams, ensuring new features launch with solid terms of service and minimal user friction. ## Requirement Qualified lawyer. Experience: At least 3 years of post-qualification experience (PQE), ideally with a mix of top-tier law firm training and in-house experience. Strong background in FinTech, Web3, or crypto exchanges. Deep understanding of crypto, high risk-tolerance for ambiguity, creative drafting, and the ability to explain complex legal risks to non-lawyers in plain English. Hands on at work and can be independent in managing complex projects whilst still working as part of a team. Great communication skills in both English and Chinese. Familiar with crypto use cases. ## Perks & Benefits Competitive total compensation package Various team-building programs and company events Comprehensive healthcare schemes for employees and dependants And many more! Apply and let us tell you more! ## Additional Information #LI-JY1", "summaryDescription" : "Legal Counsel (Commercial & Products) at BTSE Group. Skills: Commercial law, FinTech, Crypto. Draft commercial contracts. Review commercial contracts", "postedDate" : "2026-06-15T04:26:42.707", "createdAt" : "2026-06-15T04:26:42.707", "lastUpdated" : "2026-06-16T15:26:21.833", "ingestTimestamp" : "2026-06-16T03:22:03.894", "mongoId" : "6a30565df292fd229cf28d33", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Commercial contracts", "Vendor agreements", "Terms of service", "Agile", "Commercial law", "FinTech", "Crypto", "Contract negotiation", "Legal analysis", "Risk management", "Web3" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8ea62", "title" : "Data Engineer, Speed Products, Science and Analytics", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Data Engineering, transportation and logistics", "salary" : { "min" : 118900.0, "max" : 205600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:46:53.211", "fingerprint" : "2949250d13161d5d4b07f4a1aee9e5f09a85811ff8e7e42017368eebb24b6163", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100735/apply", "externalId" : "a7282069-9ef7-47e1-b7c6-11bb7e7e8581", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Scala", "professionalSkills" : [ "Data infrastructure", "Data integration", "Release management" ], "hardSkillsList" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code" ], "softSkillsList" : [ "Business communication" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data loading", "level" : "intermediate" }, { "name" : "Code deployment", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Release coordination", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Orchestration code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business communication" } ], "majorSkills" : "Data engineering, Data infrastructure, Data pipelines", "majorSkillsList" : [ "Data engineering", "Data infrastructure", "Data pipelines" ], "coreResponsibilities" : "Design data infrastructure solutions, Integrate data from sources, Aggregate data, Retrieve data, Curate data, Manage Redshift clusters, Design pipelines, Develop pipelines, Extract data, Transform data, Load data, Oversee production operations, Improve data delivery, Redesign infrastructure, Deploy code, Fix bugs, Coordinate release management, Establish best practices, Develop data integration solutions, Explore new data sources, Deliver data, Read data processing code, Write data processing code, Debug data processing code, Read orchestration code, Write orchestration code, Debug orchestration code", "teamCollaboration" : "Business owners; Tech leaders; Product teams; Data Scientists; Software developers; Business Intelligence Engineer", "projectManagementSkills" : [ "Release management" ], "domainKnowledge" : "Data warehousing; Distributed systems; Big data technologies", "domainList" : [ "data-warehousing", "distributed-systems", "big-data-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing", "Distributed systems", "Big data technologies" ], "toolProficiency" : [ "Redshift", "SQL", "Python", "AWS" ], "communicationSkills" : "Business communication", "documentationSkills" : "Documentation", "continuousLearning" : "Investigate emerging technologies", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Experience as Data Engineer, Knowledge of distributed systems, Bachelor's degree", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities - Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies. - Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination. - Establish and maintain best practices for the design, development and support of data integration solutions, including documentation. - Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data. - Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.) Basic Qualifications: - Experience as a Data Engineer or in a similar role - Knowledge of distributed systems as it pertains to data storage and computing - Bachelor's degree Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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 $118,900/year in our lowest geographic market up to $205,600/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" : "Data Engineer, Speed Products, Science and Analytics at Amazon.com Services LLC. Skills: Data engineering, Data infrastructure, Data pipelines. Design data infrastructure solutions. Integrate data from sources", "postedDate" : "2026-06-13T11:39:35.182", "createdAt" : "2026-06-13T11:39:35.182", "lastUpdated" : "2026-06-15T05:46:53.211", "ingestTimestamp" : "2026-06-13T11:39:35.182", "mongoId" : "68e0a7e2ce260f92cbf8ea62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100735/apply", "salaryAnnualMin" : 118900, "salaryAnnualMax" : 205600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code", "Business communication", "Data engineering", "Data infrastructure", "Data integration", "Release management", "Distributed systems", "Big data technologies", "Redshift", "SQL", "Python", "AWS" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e64c40e2acd1b99af2", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 202000.0, "max" : 273600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:47:42.669", "fingerprint" : "d8a90b9d636b94a49694c17867b2218cf0e64f07a91af868d1a5132c7bd992a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412277/apply", "externalId" : "1e929245-5acc-409b-a774-775f10dc2e73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Analytics, Java, C++, Python, LLM, RAG", "professionalSkills" : [ "Scientific excellence", "Customer obsession", "Ownership", "Scientific vision", "Roadmap planning", "Model evaluation", "Prompt optimization", "A/B testing", "Drift monitoring" ], "hardSkillsList" : [ "Model evaluation", "Prompt engineering", "LLM fine-tuning", "Programmatic prompt optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "Programmatic prompt optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Applied Science, Model Evaluation, Machine Learning", "majorSkillsList" : [ "Generative AI", "Applied Science", "Model Evaluation", "Machine Learning" ], "coreResponsibilities" : "Lead talent team, Mentor talent team, Grow talent team, Foster culture scientific excellence, Foster culture customer obsession, Foster culture ownership, Own scientific vision, Own multi-quarter roadmap, Design evaluation frameworks, Deliver evaluation frameworks, Lead development optimization engine, Refine prompts programmatically, Generate synthetic training pairs, Compose agent decomposition strategies, Establish offline-to-online consistency, Establish A/B testing discipline, Establish drift monitoring, Communicate scientific vision, Communicate research breakthroughs, Communicate business outcomes, Drive alignment objectives", "teamCollaboration" : "Applied scientists; Machine learning engineers; Senior leadership; Broader Amazon Advertising", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Brand intelligence; Agentic systems; LLM-based agents; Orchestrator-worker patterns; Retrieval-augmented generation; Multi-agent orchestration; Sponsored products; Sponsored brands", "domainList" : [ "brand-intelligence", "agentic-systems", "llm-based-agents", "orchestrator-worker-patterns", "retrieval-augmented-generation", "multi-agent-orchestration", "sponsored-products", "sponsored-brands" ], "domainSpecificKnowledge" : [ "Brand intelligence", "Agentic systems", "LLM-based agents", "Orchestrator-worker patterns", "Retrieval-augmented generation", "Multi-agent orchestration", "Sponsored products", "Sponsored brands" ], "toolProficiency" : [ "LLM-as-Judge" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Diagnose underperformance; Root cause analysis", "outcomesObjectives" : "Attains accuracy targets; Enables forward evaluation; Establishes autonomous loop; Scale quality across skills", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, PhD or Master's degree, 6+ years applied research, Knowledge of ML, Knowledge of NLP, Knowledge of Information Retrieval, Knowledge of Analytics, Experience programming Java, Experience programming C++, Experience programming Python", "qualificationsPreferred" : "Experience recommender systems, Experience personalization, Ph.D. computer science, Ph.D. machine learning, Ph.D. engineering, Master's degree quantitative field, 4+ years quantitative field, Publications top-tier conferences, Publications top-tier journals, 5+ years management experience, Hands-on LLM agentic systems, Experience LLM fine-tuning, Experience prompt engineering, Experience programmatic prompt optimization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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. As the Applied Science Manager for the Continuous Model Evaluation and Learning workstream, you will own the quality backbone for this agentic brand-intelligence system. You will lead a mix of applied scientists and engineers who define what \"good\" looks like for each brand skill, instrument the system to measure it, diagnose why skills underperform, and close the loop by generating, validating, and deploying improvements. You will deliver the evaluation and remediation framework that attains accuracy targets, enables forward evaluation for skills as they develop, and establishes the autonomous detect-diagnose-remediate loop that lets us scale quality across all brand skills and multiple advertiser-facing surfaces. This is a business-critical, greenfield initiative within SPB. You will set the scientific charter, grow the talent on your team, and ship the framework that every other brand-intelligence workstream depends on. Key job responsibilities - Lead, mentor, and grow the talent on a team composed of applied scientists and machine learning engineers, fostering a culture of scientific excellence, customer obsession, and ownership. - Own the scientific vision and multi-quarter roadmap for continuous model evaluation and learning across the brand-intelligence system. - Design and deliver evaluation frameworks for agentic brand-intelligence skills, including LLM-as-Judge rubrics, multi-model ensemble judging, gold-set construction, and calibration against human evaluators. - Lead development of the optimization engine that programmatically refines prompts, generates synthetic training pairs, and composes agent decomposition strategies (orchestrator-worker patterns) when single-agent skills hit complexity limits. - Establish rigorous offline-to-online consistency, A/B testing discipline, and drift monitoring so that quality improvements generalize to production traffic. - Communicate scientific vision, research breakthroughs, and business outcomes to senior leadership, and drive alignment with broader Amazon Advertising objectives. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields - Ph.D. in computer science, machine learning, engineering, or related fields, or Master's degree and 4+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Have publications at top-tier peer-reviewed conferences or journals - 5+ years of scientists or machine learning engineers management experience - Hands-on experience designing, deploying, and evaluating LLM-based agentic systems, including tool use, multi-step planning and reasoning, retrieval-augmented generation (RAG), and multi-agent orchestration (orchestrator-worker, swarm, critic-actor patterns). - Experience with large-scale LLM fine-tuning (SFT, RLHF, DPO), prompt engineering, and programmatic prompt optimization frameworks. 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 - 202,200.00 - 273,600.00 USD annually USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Applied Science, Model Evaluation, Machine Learning. Lead talent team. Mentor talent team", "postedDate" : "2026-06-13T07:29:57.873", "createdAt" : "2026-06-13T07:29:57.873", "lastUpdated" : "2026-06-15T01:47:42.669", "ingestTimestamp" : "2026-06-13T07:29:57.873", "mongoId" : "69fda4e64c40e2acd1b99af2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412277/apply", "salaryAnnualMin" : 202000, "salaryAnnualMax" : 273600, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model evaluation", "Prompt engineering", "LLM fine-tuning", "Programmatic prompt optimization", "Leadership", "Mentoring", "Generative AI", "Applied Science", "Model Evaluation", "Machine Learning", "Scientific excellence", "Customer obsession", "Ownership", "Scientific vision", "Roadmap planning", "Prompt optimization", "A/B testing", "Drift monitoring", "Brand intelligence", "Agentic systems", "LLM-based agents", "Orchestrator-worker patterns", "Retrieval-augmented generation", "Multi-agent orchestration", "Sponsored products", "Sponsored brands", "LLM-as-Judge" ], "skillCount" : 27, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2176d374d8ee00a0c1af5e", "title" : "Software Development Engineer, Sponsored Products and Brands", "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" : "2026-06-15T00:55:30.683", "fingerprint" : "e378cd8f270b1dfc3555aaf7f8ae7842287bab66bd21e4d4cce1a048769b0502", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "externalId" : "c5df5941-c47e-4788-9e98-ee08a742a5b4", "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" : "Generative AI", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Computer science fundamentals", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Computer science fundamentals", "level" : "intermediate" }, { "name" : "Problem-solving skills", "level" : "intermediate" } ], "majorSkills" : "Generative AI, High-performance systems", "majorSkillsList" : [ "Generative AI", "High-performance systems" ], "coreResponsibilities" : "Design scalable services, Develop scalable services, Deliver scalable services, Handle billions of requests, Maintain millisecond latencies, Meet strict SLA requirements, Build end-to-end features, Operate on massive datasets, Design flexible systems, Design reliable systems, Design maintainable systems, Simplify complex problems, Ship incrementally, Improve system quality, Collaborate with partners, Define requirements, Deliver customer-focused solutions, Apply computer science fundamentals, Navigate technical challenges, Make sound design trade-offs, Drive engineering best practices, Maintain system reliability", "teamCollaboration" : "Cross-functional partners; Product managers; Scientists; Engineers", "domainKnowledge" : "Retail media; Brand advertising; Product catalogs; Distributed frameworks; Advertising landscape; AI technologies", "domainList" : [ "retail-media", "brand-advertising", "product-catalogs", "distributed-frameworks", "advertising-landscape", "ai-technologies" ], "domainSpecificKnowledge" : [ "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive brand advertising at scale; Get brands discovered; Acquire new customers; Grow customer lifetime value; Drive discovery; Drive visibility; Drive share of voice; Shoppers discover brands; Shoppers build affinity; Brands grow business", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in computer science, Experience designing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Brands Impressions-based Offerings team is evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale — helping brands get discovered, acquire new customers, and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility, and share of voice — spanning advertiser controls, shopper experiences, monetization strategies, and optimization features. We succeed when shoppers discover and build affinity with brands, and when brands can grow their business at scale with our advertising products. We're looking for a Software Development Engineer who thrives on building high-performance systems that operate on one of the world's largest product catalogs. You'll build services that handle billions of requests per day with millisecond-level latencies and strict SLA requirements — working across massive datasets using distributed frameworks. This is a hands-on role for an engineer who takes a pragmatic, iterative approach to delivering software and enjoys collaborating across teams to solve complex problems with simple, scalable solutions. Key job responsibilities - Design, develop, and deliver scalable, high-performance services that handle billions of daily requests while maintaining millisecond-level response latencies and strict SLA requirements - Build end-to-end features across the Sponsored Brands stack — including advertiser controls, shopper experiences, monetization logic, and optimization capabilities - Operate on massive datasets using distributed frameworks, designing systems that are flexible, reliable, and maintainable at catalog scale - Take a pragmatic, iterative approach to software delivery — simplifying complex problems, shipping incrementally, and continuously improving system quality - Collaborate effectively with cross-functional partners — including product managers, scientists, and engineers across internal and external teams — to define requirements and deliver customer-focused solutions - Apply strong computer science fundamentals and problem-solving skills to navigate ambiguous technical challenges and make sound design trade-offs - Drive engineering best practices including code reviews, testing, operational excellence, and documentation to maintain high system reliability 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 - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems 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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, High-performance systems. Design scalable services. Develop scalable services", "postedDate" : "2026-06-13T10:44:23.258", "createdAt" : "2026-06-13T10:44:23.258", "lastUpdated" : "2026-06-15T00:55:30.683", "ingestTimestamp" : "2026-06-13T10:44:23.258", "mongoId" : "6a2176d374d8ee00a0c1af5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Computer science fundamentals", "Problem-solving skills", "Generative AI", "High-performance systems", "System design", "Reliability", "Scaling", "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" } ], "status" : 200, "message" : "formulate products per approved standard operating procedures sops and work instructions jobs", "metadata" : { "title" : "formulate products per approved standard operating procedures sops and work instructions" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 71750, "totalPages" : 1435, "hasNext" : true, "hasPrevious" : false } }

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