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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" : "69ce5e189bc74574cb674c1e", "title" : "Director (Regulation and Prequalification of Medicines and Health Products)", "industry" : "Healthcare", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in Geneva, Switzerland within the Pharma industry, adjusted for seniority and full-time employment." }, "location" : "Switzerland-Geneva", "locations" : [ "Switzerland-Geneva", "Apr 8, 2026, 9:59:00 PM", "Switzerland-Geneva, " ], "timestamp" : "2026-06-16T01:05:19.308", "fingerprint" : "65d233d561d06ed67b153291f3de73cac6f422b79e9c9784474ab60ded786f99", "source" : "taleo", "language" : "en", "applyUrl" : "https://who.taleo.net/careersection/ex/jobdetail.ftl?job=382074", "externalId" : "382074", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Geneva, Switzerland", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Regulatory affairs", "Prequalification", "Risk management", "Legal analysis", "Compliance oversight" ], "hardSkillsList" : [ "Regulatory compliance", "Drug registration", "Health product approval" ], "hardSkills" : [ { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Drug registration", "level" : "intermediate" }, { "name" : "Health product approval", "level" : "intermediate" } ], "majorSkills" : "Medicines regulation, Health products, Prequalification", "majorSkillsList" : [ "Medicines regulation", "Health products", "Prequalification" ], "coreResponsibilities" : "Oversee regulation of medicines, Manage prequalification of health products, Ensure compliance with regulatory requirements, Develop and implement regulatory strategies, Advise on legal and compliance matters, Conduct risk assessments, Monitor changes in regulations", "teamCollaboration" : "Collaborate with international health organizations; Work with regulatory bodies", "domainKnowledge" : "International regulatory frameworks", "domainList" : [ "international-regulatory-frameworks" ], "domainSpecificKnowledge" : [ "International regulatory frameworks" ], "communicationSkills" : "Regulatory reporting; Policy development", "documentationSkills" : "Regulatory submissions; Compliance documentation", "problemSolvingSkills" : "Regulatory problem solving; Compliance issue resolution", "specialRequirements" : "Fixed-term appointment", "qualificationsBasic" : "5+ years experience in regulatory affairs, Experience with medicines and health products, Experience in prequalification processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "D2 Fixed-term appointment 2", "summaryDescription" : "Director (Regulation and Prequalification of Medicines and Health Products). Skills: Medicines regulation, Health products, Prequalification. Oversee regulation of medicines. 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DISTRIBUTION CENTER (902)
555 JULIE RIVERS DRIVE
SUGAR LAND, 77478

" ], "timestamp" : "2026-06-16T02:03:24.442", "fingerprint" : "1b36c8651fb6708655ec61de4c270d8daa3fa703832a969c1b673e7b760effb9", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=192998", "externalId" : "192998", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "technicalSkills" : "Microsoft Office Suite, Print Shop Pro", "professionalSkills" : [ "Organizational skills", "Time management skills", "Data entry", "Budget preparation", "Record keeping", "Pre-press duties" ], "hardSkillsList" : [ "Calendar management", "Travel arrangements", "Expense reconciliation", "Drafting correspondence", "Editing documents", "Proofreading documents", "User account management", "Site management", "Inventory management", "Processing print orders", "Fixing print files", "Tracking print orders", "Room reservation coordination" ], "softSkillsList" : [ "Service-oriented" ], "hardSkills" : [ { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Travel arrangements", "level" : "intermediate" }, { "name" : "Expense reconciliation", "level" : "intermediate" }, { "name" : "Drafting correspondence", "level" : "intermediate" }, { "name" : "Editing documents", "level" : "intermediate" }, { "name" : "Proofreading documents", "level" : "intermediate" }, { "name" : "User account management", "level" : "intermediate" }, { "name" : "Site management", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Processing print orders", "level" : "intermediate" }, { "name" : "Fixing print files", "level" : "intermediate" }, { "name" : "Tracking print orders", "level" : "intermediate" }, { "name" : "Room reservation coordination", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Service-oriented" } ], "majorSkills" : "Administrative support, Event planning, Office management", "majorSkillsList" : [ "Administrative support", "Event planning", "Office management" ], "coreResponsibilities" : "Plan clerical tasks, Initiate clerical tasks, Assign clerical tasks, Carry out clerical tasks, Review correspondence, Prepare reports, Prepare documents, Maintain records, Maintain files, Maintain departmental documentation, Assist with data entry, Assist with purchasing, Assist with budget preparation, Perform receptionist duties, Greet visitors, Answer inquiries, Direct calls, Order key items, Unpack key items, Inventory key items, Manage user accounts, Manage sites, Manage inventory in Print Shop Pro, Perform pre-press duties, Process print orders, Fix print files, Close print orders, Track print orders, Manage supervisor’s calendar, Schedule meetings, Schedule conferences, Make travel arrangements, Prepare itineraries, Reconcile travel expenses, Screen incoming calls, Screen visitors, Respond to calls, Route calls, Relieve supervisor of tasks, Plan departmental events, Prepare for departmental events, Plan trainings, Prepare for trainings, Plan special projects, Prepare for special projects, Arrange venues, Arrange catering, Arrange equipment, Arrange decor, Arrange signage, Arrange materials, Prepare agendas, Prepare presentations, Prepare event documentation, Communicate logistics with participants, Provide on-site event support, Draft correspondence, Edit correspondence, Process correspondence, Distribute correspondence, Compose replies, Compose professional communications, Ensure accuracy in grammar, Ensure accuracy in spelling, Ensure accuracy in punctuation, Ensure accuracy in formatting, Serve as point of contact, Communicate with departments, Meet with Print Shop vendors, Coordinate workflows, Maintain organized office environment, Maintain efficient office environment, Provide guidance to staff, Review completed work, Support teamwork, Foster collaboration across departments, Uphold professional atmosphere, Uphold customer service atmosphere, Coordinate room reservations", "teamCollaboration" : "Cross-departmental communication; Foster collaboration", "domainKnowledge" : "Facility rental; Other revenue streams; Printing software", "domainList" : [ "facility-rental", "other-revenue-streams", "printing-software" ], "domainSpecificKnowledge" : [ "Facility rental", "Other revenue streams", "Printing software" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint", "Microsoft Outlook", "Acrobat Pro", "Adobe Indesign", "Adobe Photoshop", "Adobe Illustrator", "Quite Imposing", "Enfocus PitStop" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Record keeping; Document preparation", "continuousLearning" : "Professional development attendance", "problemSolvingSkills" : "Manage multiple priorities; Meet deadlines; Sound judgment; Discretion", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting less than 40 pounds, Use hands to finger, Use hands to handle, Use hands to feel objects, Reach with hands, Talk, Hear, Close vision, Color vision, Adjust focus, Attendance at conferences, Work prolonged hours, Work irregular hours, Maintain emotional control, Frequent interruptions, Rescheduling matters, Rearranging matters, Handle disruptive stakeholders, Handle irate stakeholders, Strict timelines, Time-sensitive completion, Moderate noise levels, High volume work flow", "qualificationsBasic" : "High school diploma or GED", "qualificationsPreferred" : "Some college or specialized training in office administration, Experience in event planning or coordination, Administrative support experience, Willing to learn industry standard printing software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Administrative Assistant II provides vital administrative and clerical support to ensure the efficient operation of a central office department. Serving as a primary point of contact for key initiatives within the assigned department, this role manages communications, supports departmental leaders, and facilitates both routine and specialized needs. The position is essential in maintaining effective workflows, coordinating office functions, and contributing to the success of departmental initiatives. It requires strong organizational skills, attention to detail, and the ability to manage multiple priorities in a professional, service-oriented environment. Position Description Essential Duties and Responsibilities Administrative & Clerical Support Plan, initiate, assign to others or carry to completion clerical, secretarial, and office management tasks. Review and prepare correspondence, reports, and documents for accuracy and professionalism. Maintain accurate records, files, and departmental documentation. Assist with data entry, purchasing, and budget preparation as assigned. Provide receptionist duties, including greeting visitors, answering inquiries, and directing calls. Order, unpack and inventory key items within the department to ensure accurate recordkeeping. Manage user accounts, sites, inventory in Print Shop Pro. Perform pre-press duties to include processing print orders/fixing files for printing submitted by campus/departments/customers. Close and track print orders within the Print Shop Pro dashboard daily. Supervisor Assistance Manage supervisor’s calendar, including scheduling meetings and conferences. Make travel arrangements, prepare itineraries, and reconcile related expenses. Screen incoming calls, visitors, and mail; respond or route as appropriate. Relieve supervisor of routine administrative tasks to ensure efficient department operations. Event Planning & Coordination Plan and prepare for departmental events, trainings, and special projects. Arrange venues, catering, equipment, decor, signage and materials for meetings and events. Prepare agendas, presentations, and other event documentation. Communicate logistics with participants and provide on-site event support. Communication & Correspondence Draft, edit, process and distribute routine and confidential correspondence to include memos, emails, and meeting notes. Compose replies and professional communications on behalf of the supervisor. Ensure accuracy in grammar, spelling, punctuation, and formatting of documents. Serve as a point of contact for departmental inquiries. Communicate with different departments regarding users/permissions/budget codes/and sites. Meet with Print Shop vendors regarding stock/issues. Office, Team, Department Collaboration Coordinate workflows to maintain an organized and efficient office environment. Provide guidance to clerical or temporary staff, reviewing completed work for accuracy. Support teamwork by fostering collaboration across departments. Uphold a professional and customer service-oriented atmosphere in all interactions. Coordinate room reservations for meetings, training and events. Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. High School diploma or GED Some college or specialized training in office administration, preferred Experience in event planning or coordination, preferred. Administrative support experience, preferred. Strong organizational and time management skills Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Excellent verbal and written communication abilities. Strong interpersonal skills for working with diverse individuals and groups. Ability to manage multiple priorities and meet deadlines. Sound judgment, discretion, and professionalism in handling confidential information. Willing to learn how to use industry standard printing software, i.e. Acrobat Pro, Adobe Indesign, Adobe Photoshop, Adobe Illustrator, Quite Imposing, Enfocus PitStop, preferred. Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information Work is performed in an office and is subject to frequent interruptions. Rescheduling and rearranging matters to meet unexpected changes is frequently required. Some assignments involve contact with disruptive and irate stakeholders. Some assignments are subject to completion within strict timelines and involve the potential stress associated with time-sensitive completion of tasks. Some assignments involve moderate noise levels, high volume work flow. TEXAS-SUGAR LAND", "summaryDescription" : "Administrative Assistant II -Facility Rental and Other Revenue. Skills: Administrative support, Event planning, Office management. Plan clerical tasks. Initiate clerical tasks", "createdAt" : "2026-06-14T19:50:35.244", "lastUpdated" : "2026-06-16T02:03:24.442", "ingestTimestamp" : "2026-06-14T19:50:35.244", "mongoId" : "6a2203e374d8ee00a0d618d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Calendar management", "Travel arrangements", "Expense reconciliation", "Drafting correspondence", "Editing documents", "Proofreading documents", "User account management", "Site management", "Inventory management", "Processing print orders", "Fixing print files", "Tracking print orders", "Room reservation coordination", "Service-oriented", "Administrative support", "Event planning", "Office management", "Organizational skills", "Time management skills", "Data entry", "Budget preparation", "Record keeping", "Pre-press duties", "Facility rental", "Other revenue streams", "Printing software", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint", "Microsoft Outlook", "Acrobat Pro", "Adobe Indesign", "Adobe Photoshop", "Adobe Illustrator", "Quite Imposing", "Enfocus PitStop" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "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" : "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" : "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" : "6a305738f292fd229cf35ab4", "title" : "Engineering Technician, Vacuum & Cryogenic Systems", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Technician in the US Defense Technology industry, adjusted for mid-seniority and company size." }, "location" : "Hudson, New Hampshire, United States", "locations" : [ "Hudson", "New Hampshire", "United States" ], "timestamp" : "2026-06-16T07:38:21.875", "fingerprint" : "d7d5b069b00455268a78e87219d375c69758cfdfc42c68e21596614249837157", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5164794007?gh_jid=5164794007", "externalId" : "5164794007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hudson", "state" : "New Hampshire", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7655784,-71.4393423" } ], "locationText" : "Hudson, New Hampshire, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Operate vacuum systems, Maintain vacuum systems, Operate cryogenic systems, Maintain cryogenic systems, Ensure quality of IDCA production, Ensure efficiency of IDCA production", "domainKnowledge" : "Vacuum systems; Cryogenic systems; Infrared imaging", "domainList" : [ "vacuum-systems", "cryogenic-systems", "infrared-imaging" ], "domainSpecificKnowledge" : [ "Vacuum systems", "Cryogenic systems", "Infrared imaging" ], "qualificationsBasic" : "Operation and maintenance of vacuum systems, Operation and maintenance of cryogenic systems", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM: Anduril AIRS provides high-performance cooled infrared imaging solutions, encompassing IDCAs, modules, and cameras. We achieve this through state-of-the-art technologies, advanced designs, and vertically integrated manufacturing processes. Our core strength lies in delivering customized, mission-critical imaging capabilities to system integrators and instrumentation manufacturers facing unique, challenging, and complex thermal imaging needs. WHAT YOU’LL DO: As a Process Technician, you will be responsible for the meticulous operation and maintenance of our specialized vacuum and cryogenic systems, ensuring the quality and efficiency of our IDCA production. Execute Vacuum and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Engineering Technician, Vacuum & Cryogenic Systems at Anduril Industries. Operate vacuum systems. Maintain vacuum systems", "postedDate" : "2026-06-15T23:21:08.346", "createdAt" : "2026-06-15T23:21:08.346", "lastUpdated" : "2026-06-16T07:38:21.875", "ingestTimestamp" : "2026-06-15T23:21:08.346", "mongoId" : "6a305738f292fd229cf35ab4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Vacuum systems", "Cryogenic systems", "Infrared imaging" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "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", 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"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" : "68e0a7e4ce260f92cbf8ebea", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T04:30:12.071", "fingerprint" : "4c3ef41ac93a5b7b891c5b7f2c818baf72f5e901c05cb63ef0dfab0c9c580562", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099511/apply", "externalId" : "bfdf2046-c583-4393-91a1-04ff8140add1", "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", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Unix/Linux", "professionalSkills" : [ "Machine learning engineering", "Deep learning", "LLM inference infrastructure", "GenAI workloads" ], "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, Generative AI, LLM", "majorSkillsList" : [ "Machine learning", "Deep learning", "Generative AI", "LLM" ], "coreResponsibilities" : "Develop scalable machine learning models, Develop effective machine learning models, Develop optimization strategies, Conduct research on new machine learning modeling, Optimize all aspects of 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 development of LLM inference infrastructure, Support next-generation GenAI workloads", "teamCollaboration" : "Partner with engineers and scientists", "domainKnowledge" : "Sponsored Products; 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. 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Copper underpins electrification, data centers, and defense systems. U.S. demand already exceeds domestic supply, and the gap is widening as grid modernization, the energy transition, and buildout of AI infrastructure accelerate. We are building a faster, cleaner, and more resilient model for this critical industrial layer in the United States. The Role We have specific roles listed where we have a clear idea of the organization's immediate needs. But we're building quickly, and exceptional people don't always fit neatly into a predefined role. We will opportunistically hire additional roles or create space for strong talent to join the organization. At this early stage, roles can be ambiguous, and they will evolve over time. Joining Red Metals early also provides huge opportunities for growth that often don't exist at more established companies. If you have skills that could help advance our mission, we'd love to hear from you. What You’ll Do - Take ownership of real problems - Move fast, learn quickly, and rapidly iterate - Work across disciplines to get things done - Help build the company from an early stage - Work onsite at our first manufacturing facility in Charleston, SC Red Metals Non-Negotiables 1. Bias for Action We move fast. Speed beats polish. We use every tool, especially AI, to accelerate decisions, execution, and learning. 2. Grit We do hard things because they matter. We keep pushing when others quit. 3. Ownership We own outcomes, not tasks. We see problems, fix them, and follow through across functions. 4. Signal We cut through noise. We communicate clearly and directly so decisions are fast and execution stays sharp. 5. Craft We take pride in our work. Quality, care, and precision are the standard. What We’re Looking For - People who combine ownership with a low-ego, team-first mentality - Desire for building and learning while working on a challenging and important mission - Ability to operate with incomplete information and make sound decisions quickly Strong Pluses: - Startup or early-stage experience - Background in metals, recycling, mining, or heavy industry - Demonstrated ability to operate in a fast-moving environment - Ability to leverage AI tools to accelerate work and expand impact Why Red Metals - Build a company from zero, not optimize an existing system - Real ownership and meaningful responsibility from day one - Work on a problem that matters: rebuilding U.S. industrial capacity - Small team, high trust, no bureaucracy Location This role is based in Charleston, South Carolina and requires on-site work.", "summaryDescription" : "Other Builders & Innovators at Red Metals. Skills: Building companies, Industrial capacity. Take ownership of real problems. 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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 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" : "6a16291b58b93c861e959e51", "title" : "Industrial Wastewater Program Lead - Oil, Gas and Chemicals Practice", "company" : "HDR", "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "certifications" : [ "Professional or Engineering registration" ], "timestamp" : "2026-06-15T10:01:33.808", "fingerprint" : "1e1389eba0abf63db44178e4a07c70dfecb4f9bb46d053fb1266fdd00fe1df8f", "source" : "taleo", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=781013", "externalId" : "781013", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Oil, Gas and Chemicals Practice, Industrial Wastewater" ], "softSkillsList" : [ "quality, improvement, collaborative, inclusive" ], "softSkills" : [ { "name" : "quality, improvement, collaborative, inclusive" } ], "majorSkills" : "Industrial Wastewater, Oil, Gas and Chemicals, team management, business development", "majorSkillsList" : [ "Industrial Wastewater, Oil, Gas and Chemicals, team management, business development" ], "coreResponsibilities" : "Experienced in development and management of diverse teams. Works cooperatively with other business class regional directors, operations managers, technical directors and marketing managers on business class efforts.", "teamCollaboration" : "Works cooperatively with other business class regional directors, operations managers, technical directors and marketing managers on business class efforts.", "communicationSkills" : "Works cooperatively with other business class regional directors, operations managers, technical directors and marketing managers on business class efforts", "specialRequirements" : "An attitude and commitment to being an active participant of our employee-owned culture is a must. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta.", "qualificationsBasic" : "Bachelor's degree in a Professional, Architecture, Engineering or closely related field. 10 years experience in related field. Maintains a professional or Engineering registration and has related technical experience.", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Bachelor's degree in a Professional, Architecture, Engineering or closely related field 10 years experience in related field Maintains a professional or Engineering registration and has related technical experience Experienced in development and management of diverse teams Works cooperatively with other business class regional directors, operations managers, technical directors and marketing managers on business class efforts Committed to quality, improvement and HDR values An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. United States-Texas-Houston", "summaryDescription" : "Industrial Wastewater Program Lead - Oil, Gas and Chemicals Practice at HDR. Skills: Industrial Wastewater, Oil, Gas and Chemicals, team management, business development. Experienced in development and management of diverse teams. Works cooperatively with other business class regional directors, operations managers, technical directors and marketing managers on business class efforts.", "createdAt" : "2026-06-14T20:50:33.833", "lastUpdated" : "2026-06-15T10:01:33.808", "ingestTimestamp" : "2026-06-14T20:50:33.833", "mongoId" : "6a16291b58b93c861e959e51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "quality, improvement, collaborative, inclusive", "Industrial Wastewater, Oil, Gas and Chemicals, team management, business development", "Oil, Gas and Chemicals Practice, Industrial Wastewater", "Professional or Engineering registration" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.92 }, { "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. 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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" : "6a25146374d8ee00a00bb7d5", "title" : "Technical Program Manager, Global Fleet and Products Electrification and Infrastructure", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, transportation and logistics", "salary" : { "min" : 127100.0, "max" : 172000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T02:13:56.266", "fingerprint" : "8692337613ec6c79d9dcf8681ec41a3064dbd9d51d4bb496bf8eabf47982baa1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440086/apply", "externalId" : "aa1581d7-f77d-4e93-9547-f7417347dae4", "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", "technicalSkills" : "Software development", "professionalSkills" : [ "Supplier quality", "Quality management", "Process improvement", "Sparing strategies", "Trade-off evaluation", "Risk management", "Critical path management" ], "hardSkillsList" : [ "Pareto exercises", "Quality metrics", "Key Performance Indicators" ], "softSkillsList" : [ "Leadership", "Priorities", "Deliver results" ], "hardSkills" : [ { "name" : "Pareto exercises", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Key Performance Indicators", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Priorities" }, { "name" : "Deliver results" } ], "majorSkills" : "Supplier quality, Electrical infrastructure, Program management", "majorSkillsList" : [ "Supplier quality", "Electrical infrastructure", "Program management" ], "coreResponsibilities" : "Own supplier quality workstream, Build tools to intake issues, Resolve equipment issues, Complete pareto exercises, Develop solutions for improvement, Develop strategy, Evaluate trade-offs, Drive alignment with stakeholders, Develop supplier quality roadmap, Verify Amazon quality standards, Define inspection plans, Roll out inspection plans, Monitor supplier performance, Report supplier metrics, Lead supplier issue resolution, Support suppliers with initiatives, Provide feedback mechanism, Work on concurrent projects, Develop network spare strategies", "teamCollaboration" : "Cross-functional teams; Engineering teams; Construction teams; Commissioning teams", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Electrical infrastructure; Electric vehicle charging; EV fleet", "domainList" : [ "electrical-infrastructure", "electric-vehicle-charging", "ev-fleet" ], "domainSpecificKnowledge" : [ "Electrical infrastructure", "Electric vehicle charging", "EV fleet" ], "communicationSkills" : "Communicate clearly", "innovationCreativity" : "Develop innovative quality management tools", "problemSolvingSkills" : "Issue resolution", "outcomesObjectives" : "Ensure reliability and performance", "qualificationsBasic" : "3+ years technical product management, 3+ years program management, 2+ years software development, 3+ years project management disciplines, Experience managing programs across cross functional teams, Experience building processes, Experience coordinating release schedules", "qualificationsPreferred" : "3+ years working directly with engineering teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is committed to building a sustainable business for our employees, customers and communities. From leading The Climate Pledge to our goal of Net Zero Carbon by 2040, Amazon has consistently driven industry change. Deploying a fleet of 100,000 electric delivery vehicles is one major way we’re making a difference. The Technical Program Manager role will play a key part in supporting electrification across our network. The Technical Program Manager will be responsible for owning our supplier quality workstream across our electrical infrastructure equipment portfolio. This will include building tools to intake issues across the equipment's lifecycle, resolve those issues, complete pareto exercises on the problems, and develop solutions across the installation phase and supplier base for improvement (including sparing strategies for the network). The TPM will develop this strategy, evaluate trade-offs and drive broad alignment with key stakeholders. We seek a strong leader who can set priorities, communicate clearly, and consistently deliver results across diverse cross-functional teams. Key job responsibilities - Develop, implement and maintain the supplier quality roadmap for electrical infrastructure equipment. - Verify Amazon quality standards are met at suppliers through in-person and remote audits. - Define and roll out incoming inspection/first article inspection plans - Monitor and report on supplier performance quality metrics and actions. Lead supplier quality issue resolution in partnership with engineering, construction and commissioning teams. - Develop and support suppliers with quality improvement initiatives and Key Performance Indicators (KPI). Provide a feedback mechanism from suppliers to internal teams on joint quality issues. Work on concurrent projects, sometimes in multiple geographical regions. - Develop network spare strategies to support electrical power distribution products powering 100K EVs. A day in the life Your day will be dynamic and impactful, focusing on driving quality improvements across our electrical infrastructure equipment portfolio. You'll collaborate with cross-functional teams, develop innovative quality management tools, and create strategic solutions that ensure the reliability and performance of our electric vehicle charging network. About the team We are building the largest and most advanced EV Fleet charging network in the world! Basic Qualifications: - 3+ years of technical product or program management experience - 2+ years of software development experience - 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - 3+ years of working directly with engineering teams experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 146,200.00 - 197,800.00 USD annually USA, TN, Nashville - 120,800.00 - 163,400.00 USD annually USA, WA, Bellevue - 127,100.00 - 172,000.00 USD annually", "summaryDescription" : "Technical Program Manager, Global Fleet and Products Electrification and Infrastructure at Amazon.com Services LLC. Skills: Supplier quality, Electrical infrastructure, Program management. Own supplier quality workstream. Build tools to intake issues", "postedDate" : "2026-06-13T10:40:52.368", "createdAt" : "2026-06-13T10:40:52.368", "lastUpdated" : "2026-06-15T02:13:56.266", "ingestTimestamp" : "2026-06-13T10:40:52.368", "mongoId" : "6a25146374d8ee00a00bb7d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440086/apply", "salaryAnnualMin" : 127100, "salaryAnnualMax" : 172000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Pareto exercises", "Quality metrics", "Key Performance Indicators", "Leadership", "Priorities", "Deliver results", "Supplier quality", "Electrical infrastructure", "Program management", "Quality management", "Process improvement", "Sparing strategies", "Trade-off evaluation", "Risk management", "Critical path management", "Scope management", "Schedule management", "Budget management", "Electric vehicle charging", "EV fleet" ], "skillCount" : 20, "jobCategory" : "project-management", "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. Tackle challenging problems", "postedDate" : "2026-06-13T15:11:57.473", "createdAt" : "2026-06-13T15:11:57.473", "lastUpdated" : "2026-06-15T06:34:06.169", "ingestTimestamp" : "2026-06-13T15:11:57.473", "mongoId" : "69fda4e34c40e2acd1b9974a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "salaryAnnualMin" : 228700, "salaryAnnualMax" : 309400, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "ML", "LLM", "GenAI models", "Gen AI", "Applied Science", "Product Development", "Product sense", "Science vision", "Execution", "Project management", "Roadmap strategy", "Roadmap definition", "Generative AI", "Advertising landscape", "Brand advertising" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "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" : "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" : "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" : "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. Develop new components", "postedDate" : "2026-06-13T11:10:48.403", "createdAt" : "2026-06-13T11:10:48.403", "lastUpdated" : "2026-06-15T08:32:08.536", "ingestTimestamp" : "2026-06-13T11:10:48.403", "mongoId" : "6a0df91758b93c861ebd9e1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410623/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing", "Generative AI", "Ad tech", "Big data", "Ad tech systems", "Customer understanding", "Driving results", "Scrum", "Shopping experiences", "Generative AI technologies", "Advertising landscape" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6931903370f0b99d580879f2", "title" : "Applied Scientist III, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:42:56.908", "fingerprint" : "c61c1cc7f9b4c2be30f26584e9246334062b705f088cc642c659681d63a0543c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137028/apply", "externalId" : "da773fc8-cb6e-42d0-81c2-f413a80a182f", "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" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark", "professionalSkills" : [ "ML modeling", "Causal inference", "Reinforcement learning", "Optimization techniques", "LLMs", "Online experimentation", "ML solutions" ], "hardSkillsList" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs", "Online experimentation", "ML modeling" ], "softSkillsList" : [ "Customer obsession", "Inventing", "Simplifying" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "Online experimentation", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer obsession" }, { "name" : "Inventing" }, { "name" : "Simplifying" } ], "majorSkills" : "Machine learning, Causal inference, Reinforcement learning, LLMs", "majorSkillsList" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs" ], "coreResponsibilities" : "Improve quality of ads shown, Use in-session and offline signals, Use online experimentation, Use ML modeling, Use simulation, Use online feedback, Identify big opportunities, Make direct impact on customers, Improve search experience, Work closely with partner teams, Build scalable real-time ML solutions, Design A/B experiments, Run A/B experiments, Analyze A/B experiments", "teamCollaboration" : "Search partner teams; 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" : "69164da470f0b99d586f3162", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:25:10.237", "fingerprint" : "d13b775018a4c1b090e0afa7f442843b973be39bb85965cc38f26e0e9418e103", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122617/apply", "externalId" : "4df7e358-44a5-4a64-9e9b-6ab3ace7bee6", "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, Generative AI", "professionalSkills" : [ "Science leadership", "Organizational ability", "Technical strength", "Product focus", "Business understanding" ], "hardSkillsList" : [ "Data analysis", "Model development", "A/B testing", "Generative models" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Generative models", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model development, Advertising technology", "majorSkillsList" : [ "Generative AI", "Model development", "Advertising technology" ], "coreResponsibilities" : "Develop AI solutions, Build monetization systems, Build optimization systems, Leverage generative models, Value campaign performance, Improve campaign performance, Define science vision, Define science roadmap, Translate direction into plans, Design experiments, Conduct experiments, Evaluate proposed solutions, Communicate technical ideas, Communicate non-technical ideas, Stay up-to-date with advancements, Stay up-to-date with modeling techniques, Think big about Gen AI, Identify new opportunities, Apply technologies to solve problems", "teamCollaboration" : "Communicate with teammates", "domainKnowledge" : "Digital advertising; Generative AI", "domainList" : [ "digital-advertising", "generative-ai" ], "domainSpecificKnowledge" : [ "Digital advertising", "Generative AI" ], "communicationSkills" : "Technical communication; Non-technical communication", "continuousLearning" : "Stay up-to-date with advancements", "innovationCreativity" : "Innovative AI solution development", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, PhD, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience in algorithms, Experience in data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing, 3+ years in digital advertising technology", "qualificationsPreferred" : "Demonstrated track record of innovative AI solution development, Experience with generative model architectures, Research publications in generative AI, Patents in generative AI technologies", "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 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" : "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" }, { "id" : "68e6b1d870f0b99d58d66a7d", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T02:43:22.161", "fingerprint" : "8ec624e328332c112fe76bd73d0f93905c4dc4d17289525424262bda6dce27e3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103340/apply", "externalId" : "b6d82723-d7c7-4963-b783-09fa12bb7be8", "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" : "GenAI, Machine learning, Generative AI, LLM", "professionalSkills" : [ "ML strategy", "GenAI strategy", "Recommender systems" ], "hardSkillsList" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML, GenAI, Ranking systems, Retrieval systems", "majorSkillsList" : [ "ML", "GenAI", "Ranking systems", "Retrieval systems" ], "coreResponsibilities" : "Define technical and scientific strategies, Influence scientific and engineering methods, Invent new scientific techniques and paradigms, Grow other scientists in the organization, Liaise with internal Amazon partners, Bring state-of-the-art models to production, Stay abreast of the latest developments in AI/ML/GenAI, Identify opportunities to improve efficiency and productivity, Define a long-term science vision, Translate vision into actionable plans, Build complex, real-time systems using GenAI, Develop machine learning platform strategy, Develop a GenAI strategy for recommender systems", "teamCollaboration" : "Multiple teams of scientists and engineers; Cross-functional projects", "domainKnowledge" : "Ranking systems; Retrieval systems; Recommender systems; Advertising landscape; Generative AI technologies", "domainList" : [ "ranking-systems", "retrieval-systems", "recommender-systems", "advertising-landscape", "generative-ai-technologies" ], "domainSpecificKnowledge" : [ "Ranking systems", "Retrieval systems", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Invent new product experiences; Innovates on behalf of customers; Invent new scientific techniques and paradigms", "problemSolvingSkills" : "Solve complex challenges", "qualificationsBasic" : "PhD or equivalent in Computer science/Math or related field, Experience in building complex, real-time systems using GenAI, Computer Science fundamentals in data structures, algorithm design and complexity analysis, Ability to develop machine learning platform strategy in recommender systems, Ability to develop a GenAI strategy for recommender systems", "qualificationsPreferred" : "10+ years of relevant, broad research experience after PhD degree, Deep expertise and knowledge of Generative AI methods, Proficiency in programming for algorithm and code reviews, Core competency in mathematics and statistics, Track record of successful projects in algorithm design and product development, Publications at top-tier peer-reviewed conferences or journals, Experience with mentorship and/or management of senior scientists and engineers, Effective verbal and written communication skills with non-technical and technical audiences, Experience working with real-world data sets and building scalable models from big data, Demonstrated track record of project delivery for large, cross-functional projects, Ability to take a project from requirements gathering and design to actual product launch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a 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 define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. - Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. - You invent new scientific techniques and paradigms to address our customers' needs and business problems. - You are a role model and help grow other scientists in the organization. - You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls. - You have 10+ years of research experience after a PhD degree. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Basic Qualifications: - PhD or equivalent in Computer science/Math or related field.  - Experience in building complex, real-time systems using GenAI, with successful delivery to customers. - Computer Science fundamentals in data structures, algorithm design and complexity analysis.  - Ability to develop machine learning platform strategy in the domain of recommender systems. - Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications: 10+ years of relevant, broad research experience after PhD degree or equivalent.  Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews.  Strong core competency in mathematics and statistics.  Track record of successful projects in algorithm design and product development.  Publications at top-tier peer-reviewed conferences or journals.  Experience with mentorship and/or management of senior scientists and engineers.  Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. 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 $179,000/year in our lowest geographic market up to $309,400/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" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: ML, GenAI, Ranking systems, Retrieval systems. Define technical and scientific strategies. Influence scientific and engineering methods", "postedDate" : "2026-06-13T06:10:32.841", "createdAt" : "2026-06-13T06:10:32.841", "lastUpdated" : "2026-06-15T02:43:22.161", "ingestTimestamp" : "2026-06-13T06:10:32.841", "mongoId" : "68e6b1d870f0b99d58d66a7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103340/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 309400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics", "Leadership", "Mentoring", "ML", "GenAI", "Ranking systems", "Retrieval systems", "ML strategy", "GenAI strategy", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fe94fe4c40e2acd112180a", "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" : "2026-06-15T02:31:17.127", "fingerprint" : "5c0b643709b4f75330ab493a1347c607a62f5167c623b112007223d9362f04b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "externalId" : "ae8f2580-e704-4d57-832e-d48338837ecf", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Server-less, Event-driven, Big data, Machine learning, Generative AI, AI", "professionalSkills" : [ "System design", "Ad tech", "Shopping experiences" ], "hardSkillsList" : [ "ML-based approaches", "Data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML-based approaches", "level" : "intermediate" }, { "name" : "Data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Ad tech, Machine learning", "majorSkillsList" : [ "Generative AI", "Ad tech", "Machine learning" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; Scientists; Economists; External partners; Internal partners", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI" ], "innovationCreativity" : "Next innovations; Invent approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years software development experience, 3+ years system design experience, Experience programming one language", "qualificationsPreferred" : "5+ years full SDLC experience, 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 - 3+ 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. 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, Ad tech, Machine learning. Design new components. Develop new components", "postedDate" : "2026-06-13T05:32:42.478", "createdAt" : "2026-06-13T05:32:42.478", "lastUpdated" : "2026-06-15T02:31:17.127", "ingestTimestamp" : "2026-06-13T05:32:42.478", "mongoId" : "69fe94fe4c40e2acd112180a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ML-based approaches", "Data systems", "Leadership", "Generative AI", "Ad tech", "Machine learning", "System design", "Shopping experiences", "Scrum" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "69f519c94c40e2acd1eb1bfe", "title" : "Sr. Financial Analyst, Sponsored Products and Brands Finance", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 60000.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65" ], "timestamp" : "2026-06-15T05:14:03.572", "fingerprint" : "b87718796df4c362e547a1b03b9638333f3b51df660eee53f704be3c1e0c147d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408978/apply", "externalId" : "f29b5d25-6d4b-4926-9e38-a94ff1bfe861", "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" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, MATLAB, SQL", "professionalSkills" : [ "Financial modeling", "Risk management", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Risk management, Quantitative skills", "majorSkillsList" : [ "Financial analysis", "Risk management", "Quantitative skills" ], "coreResponsibilities" : "Analyze financial data, Develop financial models, Assess financial risks, Monitor market trends, Prepare financial reports, Ensure regulatory compliance, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Finance department", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; SOX; Basel III; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "sox", "basel-iii", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Report writing; Presentation skills", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "3+ years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, FRM preferred, Series 7 preferred, Series 63 preferred, Series 65 preferred, Bloomberg Terminal proficiency preferred, Reuters Eikon proficiency preferred, FactSet proficiency preferred, Murex proficiency preferred, Calypso proficiency preferred", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "As a Sr. Financial Analyst in the Sponsored Products finance organization, you will be a key member of the Sponsored Products advertising team. You will work side by side with product and finance leaders to develop business strategies, financial models and analytical insights that influence business decisions. As a finance partner, you will have the opportunity to work with large advertising data sets to influence the long-term evolution of our products and develop insights into various aspects of our business. Key job responsibilities Responsibilities include, but are not limited to: Serve as a finance partner for the SP product and engineering leaders on strategic initiatives, leading planning, business modeling, and financial analysis; Design and develop performance metrics, institute reporting mechanisms, and implement processes to drive insights related to business performance for stakeholders; Facilitate financial and operational metrics review meetings with product and finance leaders and work with business to drive effective execution; Develop financial models for new business initiatives, experimentation, and special projects; Collaborate with business intelligence engineers and data engineers to continually improve and enhance existing reporting and mechanisms, proactively identify performance issues and deep dive to investigate and uncover insights; A day in the life A day in the life of a Sr. Financial Analyst can include - leading a WBR to drive discussions with product teams on business performance, partner with product to investigate KPI trends and prepare a document to be reviewed with senior product leaders, collaborate with BIE and Data Engineering teams to design and implement a new set of metrics in multiple formats (WBR/MBR slides, dashboards) for business stakeholders. About the team Sponsored Products (SP) Advertising is one of the largest and fast growing business segments within Amazon Advertising. The SPB Finance team partners with this business to provide data analytics and reporting, support product initiative launches and performance tracking, drive operational improvements, and deep dive into business performance to provide insights that can enable growth. Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - 4+ years of Accounts Receivable or Account Payable experience - 4+ years of applying key financial performance indicators (KPIs) to analyses experience - 4+ years of creating process improvements with automation and analysis experience - 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience - Six Sigma Black Belt - Experience with advanced use of SQL for data mining and business intelligence - Experience as a lean sensei, or experience working as a Quality Assurance Engineer Preferred Qualifications: - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - Knowledge of Tableau - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) 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 - 73,600.00 - 128,800.00 USD annually USA, WA, SEATTLE - 82,700.00 - 117,100.00 USD annually", "summaryDescription" : "Sr. Financial Analyst, Sponsored Products and Brands Finance at Amazon.com Services LLC. Skills: Financial analysis, Risk management, Quantitative skills. Analyze financial data. Develop financial models", "postedDate" : "2026-06-13T18:24:01.965", "createdAt" : "2026-06-13T18:24:01.965", "lastUpdated" : "2026-06-15T05:14:03.572", "ingestTimestamp" : "2026-06-13T18:24:01.965", "mongoId" : "69f519c94c40e2acd1eb1bfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408978/apply", "salaryAnnualMin" : 60000, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Risk management", "Quantitative skills", "Financial modeling", "Quantitative analysis", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 42, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "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" : "68e0a7e4ce260f92cbf8eb9a", "title" : "Senior Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:32:18.150", "fingerprint" : "80d691f43f0a1746713e43fe7f26338fdfe376c1055c12dd5b67fbc7b5c255ef", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099209/apply", "externalId" : "95d0f5e4-2523-4e2a-be27-db3062755b3a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, AI", "professionalSkills" : [ "System design", "Architecture design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Video ad optimization" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Video ad optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Advertising technology, System architecture", "majorSkillsList" : [ "Generative AI", "Advertising technology", "System architecture" ], "coreResponsibilities" : "Lead feature development, Architect scalable solutions, Optimize video ad performance, Integrate ad experiences, Mentor junior developers", "teamCollaboration" : "Engineering teams; Scientists; Designers", "domainKnowledge" : "Advertising landscape; Advertising lifecycle; Video serving; Video rendering", "domainList" : [ "advertising-landscape", "advertising-lifecycle", "video-serving", "video-rendering" ], "domainSpecificKnowledge" : [ "Advertising landscape", "Advertising lifecycle", "Video serving", "Video rendering" ], "continuousLearning" : "Culture of learning", "innovationCreativity" : "Innovative features; Re-inventing advertising experiences", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading system design, Mentor or tech lead experience, AI solution development track record", "qualificationsPreferred" : "5+ years full SDLC experience, Master's degree in computer science, Experience leading system architecture, Experience optimizing video serving, Experience optimizing video rendering", "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. Key job responsibilities * Lead the development of innovative features for Sponsored Brands Video, enhancing our online shopping experience. * Architect scalable solutions that can handle our evolving ad creatives and high traffic volumes. * Optimize video ad performance. * Work with page owners to seamlessly integrate ad experiences into Amazon Retail. * Mentor junior developers and contribute to our culture of learning and growth. A day in the life As a Senior Software Development Engineer on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide. About the team The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, & personal. 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 - Demonstrated track record of innovative AI solution development. Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience optimizing video serving and rendering. 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" : "Senior Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Advertising technology, System architecture. Lead feature development. Architect scalable solutions", "postedDate" : "2026-06-13T16:22:51.770", "createdAt" : "2026-06-13T16:22:51.770", "lastUpdated" : "2026-06-15T06:32:18.150", "ingestTimestamp" : "2026-06-13T16:22:51.770", "mongoId" : "68e0a7e4ce260f92cbf8eb9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099209/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Video ad optimization", "Mentoring", "Generative AI", "Advertising technology", "System architecture", "System design", "Architecture design", "Reliability", "Scaling", "Advertising landscape", "Advertising lifecycle", "Video serving", "Video rendering" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2cdee574d8ee00a0a59798", "title" : "Oil and Gas Facilities Engineer", "company" : "ProSidian Consulting, LLC", "industry" : "Management Consulting", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Oil and Gas Facilities Engineer in the United States, adjusted for a remote work mode and contract employment type." }, "location" : "Washington, DC, United States", "locations" : [ "Washington", "DC", "United States" ], "timestamp" : "2026-06-16T04:44:45.517", "fingerprint" : "d640d1dc0da4c73bd397695bd2407c7e3d1c6e699e920d4e44ab9590552408ae", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/prosidianconsulting/744000131674135-oil-and-gas-facilities-engineer", "externalId" : "744000131674135", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Washington, District of Columbia, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ProSidian is a Management and Operations Consulting Services firm that delivers value to clients through tailored solutions grounded in industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management, Compliance, Business Process, IT Effectiveness, Engineering, Environmental, Sustainability, and Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. Learn More About ProSidian Consulting at www.ProSidian.com. ProSidian Seeks a Oil and Gas Facilities Engineer | Technical Execution / Independent Engineering [DOE0090090] for Program Support on a Exempt 1099 Contract: No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) Area Clearance Designation(s): STD Background Chk Contract Contingent, generally located across the CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) Across The District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region supporting a a department within the US Department of Energy [The Loan Programs Office (LPO)] that provides attractive debt financing for high-impact, large-scale energy infrastructure projects in the United States. The Oil and Gas Facilities Engineer | Technical Execution / Independent Engineering [DOE0090090] is aligned with GSA Labor Category: Senior Consultant. We seek Oil and Gas Facilities Engineer | Technical Execution / Independent Engineering [DOE0090090] candidates with relevant Energy Industry (Oil, And Gas/Power, And Utilities) Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Energy Industry (Oil, And Gas/Power, And Utilities) Sector Clients such as DOE. 0 JOB OVERVIEW Provide services and support as a Oil and Gas Facilities Engineer [Independent Engineering (IE) Advisory Services] aligned with the Technical Execution / Independent Engineering Functional Area / Swim Lane / Category Discipline in the Energy Industry (Oil, And Gas/Power, And Utilities) Industry Sector focussing on RM | Risk Management Solutions for clients such as U.S. Department of Energy (DOE) | DOE Energy Dominance Financing (EDF) Program Generally Located In CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) and across the District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region (Of Country/World) Remote (within USA - W/ On-Site Meetings Expected). The Oil and Gas Facilities Engineer Covers upstream/downstream facilities, equipment, process systems, and hydrocarbon infrastructure. Serves as a Oil and Gas Facilities Engineer within the Technical Execution / Independent Engineering swim lane, delivering bankable, technically defensible Independent Engineering advisory services by converting discipline-specific engineering, construction, compliance, operating, commercial, and risk findings into lender-ready due diligence, monitoring, certification, and decision-support outputs. Serve as a Oil and Gas Facilities Engineer - Technical Execution / Independent Engineering Specialist (Labor Category: Senior Consultant II) to provide Technical Execution / Independent Engineering Technical as part of an as part of an Independent Engineering (IE) Advisory Services | Energy Dominance Financing (EDF) Advisory / Technical Due Diligence / Credit Evaluation / Lifecycle Monitoring Team that provides Engineering Services. This includes activities that address and Evaluates upstream, downstream, refining, processing, distribution, and hydrocarbon production facilities. Supports hydrocarbon facilities and infrastructure evaluation services to assess upstream, midstream, and downstream assets, including production, refining, processing, transportation, distribution, and storage facilities, through comprehensive reviews of equipment, process systems, infrastructure design, operational performance, and technical integrity to support due diligence, risk assessment, financing decisions, and lifecycle project monitoring. RESPONSIBILITIES AND DUTIES-Oil and Gas Facilities Engineer | Technical Execution / Independent Engineering [DOE0090090] Provides Independent Engineering advisory support for Energy Dominance Financing (EDF) Program technical due diligence, credit evaluation, lifecycle monitoring, and assurance activities, with emphasis on oil and gas facilities design, equipment, utilities, constructability, and operations. Reviews project documentation, evaluates technical and commercial interfaces, identifies risks and mitigations, validates assumptions, supports conditions precedent and disbursement readiness reviews where applicable, and prepares defensible work products including facility assessments, process and utility reviews, layout checks, capacity analysis, and readiness summaries. Coordinates with engineering, finance, legal, construction, operations, environmental, HSE, and project controls stakeholders to support timely lender and DOE decision-making. The role(s) are located in the District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region, at or near CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States). Initially identified Work Site Address (Remote (within USA - W/ On-Site Meetings Expected): 1000 Independence Avenue SW, Washington, DC 20585 ## Qualifications Desired Qualifications For Oil and Gas Facilities Engineer | Technical Execution / Independent Engineering [DOE0090090] Candidates: 10+ years of relevant engineering, construction, operations, compliance, risk, finance, or energy infrastructure advisory experience; demonstrated work on oil and gas, power, utilities, or large-scale infrastructure projects for owners, lenders, independent engineers, or federal clients. Education / Experience Requirements / Qualifications Bachelor's degree in engineering, geoscience, petroleum engineering, mechanical, electrical, chemical, civil, environmental, or related technical field. PE, PMP, CSP, API, NACE/AMPP, PMI, or discipline-specific credentials preferred where applicable. 10+ years of relevant engineering, construction, operations, compliance, risk, finance, or energy infrastructure advisory experience; demonstrated work on oil and gas, power, utilities, or large-scale infrastructure projects for owners, lenders, independent engineers, or federal clients. Skills Required Primarily focused on Engineering Services initiatives and aligned with Program Support activities Technical Execution / Independent Engineering Functional Area Activities. Independent engineering review; U.S. Department of Energy (DOE) Loan Programs Office (LPO) - Style documentation discipline; technical due diligence; risk assessment; oil and gas facilities design, equipment, utilities, constructability, and operations; data room review; information request tracking; report writing; Excel-based analysis; stakeholder coordination; and clear presentation of findings for credit, construction, monitoring, and certification decisions. Competencies Required * Technical judgment; independence and objectivity; analytical rigor; attention to detail; defensible documentation; client service orientation; cross-functional collaboration; issue escalation; quality mindset; schedule discipline; and ability to translate technical evidence into actionable risk, compliance, and financing implications. Ancillary Details Of The Roles * Ancillary role detail: may participate in data room reviews, borrower/contractor interviews, site observations, monthly monitoring meetings, risk register updates, CP evidence reviews, draw package checks, issue closure tracking, and preparation of Independent Engineer reports for DOE, LPO, credit, and program governance stakeholders. * The DOE Energy Dominance Financing (EDF) Program represents DOE/LPO-supported financing and lifecycle oversight activities for large-scale U.S. energy infrastructure projects, requiring independent engineering, technical due diligence, credit evaluation, construction monitoring, operational performance assessment, and risk management services to support financing decisions and protect government lending interests throughout the project lifecycle. DOE financing activities that support U.S. energy infrastructure, energy security, domestic production, and strategic energy investments. The financing authority itself would typically be administered through the DOE Loan Programs Office (LPO). * The Loan Programs Office (LPO) is the financing arm of the U.S. Department of Energy, responsible for providing Direct loans, loan guarantees, credit assistance, and project finance support for large-scale energy and infrastructure projects in the United States. The LPO evaluates projects from Technical, Engineering, Financial, Commercial, Environmental, Regulatory, Construction, and Operational perspectives before financing decisions are made. * Independent Engineering (IE) Advisory Services are needed for complex energy projects. DOE/LPO frequently requires independent technical reviews similar to those used by commercial lenders, export credit agencies, multilateral development banks, and institutional project finance investors. An EDF-style Independent Engineering engagement could include: * - Upstream Oil & Gas (Exploration and production | Reservoir development | Drilling programs) * - Midstream (Pipelines | Compression facilities | LNG infrastructure | Storage terminals) * - Downstream (Refineries | Petrochemical facilities | Processing plants) * - Power & Utilities (Generation facilities | Transmission infrastructure | Grid modernization | Energy storage) Other Details Role supports NAICS 541330 Engineering Services for Energy Dominance Financing (EDF) Program/Loan Programs Office (LPO) energy infrastructure financing, with work performed for high-impact oil and gas, power, utilities, and infrastructure projects. Outputs must be independent, traceable to source evidence, suitable for lender review, and aligned with technical due diligence, construction monitoring, EPC oversight, completion certification, operations monitoring, and long-term debt-service viability assessment needs. #TechnicalCrossCuttingJobs #Energy Industry (Oil, And Gas/Power, And Utilities) #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek ## Additional Information As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian. Eight ProSidian Global Competencies 1. Personal Effectiveness – The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results. 2. Continuous Learning – Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive. 3. Leadership – Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success. 4. Client Service – Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships. 5. Business Management – Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance. 6. Business Development – Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions. 7. Technical Expertise – Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy. 8. Innovation & Knowledge Sharing (Thought Leadership) – Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement. ------------ --------------- ------------ OTHER REQUIREMENTS * Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word; proficient with Adobe Acrobat, data analytics tools, and Visio; and able to quickly learn other tools as needed. * Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word; proficient with Adobe Acrobat, data analytics tools, and Visio; and able to quickly learn other tools as needed. * Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors. * Curiosity – the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together. * Humility – exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference. * Willingness - to constantly learn, share, and grow, and to view the world as their classroom. ------------ --------------- ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights - Your health and well-being are vital to ProSidian. We invest in employees to support health and work-life balance. Our Employee Benefits Program promotes your health and well-being, including benefits for Full-Time Employees. * Competitive Compensation: The pay range is competitive and includes health benefits, pre-tax employee benefits, and incentives. The company contributes a fixed dollar amount each month to the selected medical and dental plans, with the contributions deducted pre-tax. * Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with providers to offer eligible employees a range of medical and dental plans, including high-deductible health plans and PPOs, as well as plans for high and low vision. * 401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plan lets eligible employees save for retirement with various investment options and support from a financial planner. It operates as a pre-tax Safe Harbor plan with a company match. * Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events. These benefits include 2 weeks of vacation, three sick days, 10 ProSidian holidays, and government holidays. * Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits. * Purchasing Discounts & Savings Plans: We aim for your financial success with a Purchasing Discounts and Savings Plan via the Corporate Perks Benefit Program, offering eligible employees discounts on everyday products and services. * Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace. Security clearance is a valuable asset in your professional portfolio, enhancing your credentials. * ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program. * Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing and supporting. * Flexible Spending Account: FSAs let you pre-tax cover eligible healthcare and daycare costs. You estimate your annual expenses and allocate part of each paycheck to your FSA. * Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you can choose supplemental life insurance. D&D covers death or dismemberment resulting solely from an accident. * Short- and Long-Term Disability Insurance: Disability insurance plans are designed to offer income protection during your recovery from a disability. ----------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian is committed to equal opportunity employment, assessing qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other protected characteristics. All information is kept confidential in line with EEO standards. The company supports the Hiring Our Heroes Program and the \"I Hire Military\" Initiative, encouraging all applicants—including veterans—to apply. Our core value, \"Honor Above All,\" emphasizes integrity, overcoming challenges, and striving for excellence. To apply, visit or send your resume, salary expectations, and job title or code to careers @ ProSidian.com. Only qualified candidates will be reviewed. Please make sure your subject line is clear and properly formatted. Application – [Job Title] – [Job Ref Code] – [Your Full Name]. Risk Management | Compliance | Business Processes | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital", "summaryDescription" : "Oil and Gas Facilities Engineer at ProSidian Consulting, LLC", "postedDate" : "2026-06-11T13:35:26.000", "createdAt" : "2026-06-14T18:34:27.321", "lastUpdated" : "2026-06-16T04:44:45.517", "ingestTimestamp" : "2026-06-14T18:34:27.321", "mongoId" : "6a2cdee574d8ee00a0a59798", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1d070f0b99d58d664d0", "title" : "Senior Product Manager - Tech, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Advertising", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:06:25.484", "fingerprint" : "a84675b16fce5c087566de91427df85f7d52befbff421e2a3feef46ee23c55b7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102681/apply", "externalId" : "f7935edf-8cee-46c4-9e4a-c94430da9949", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, AI, Machine Learning", "professionalSkills" : [ "Product strategy", "Roadmap development", "Requirements definition", "New business initiatives", "Campaign performance" ], "hardSkillsList" : [ "Product delivery", "Roadmap strategy", "Technical product management", "Feature delivery", "Analytical skills" ], "hardSkills" : [ { "name" : "Product delivery", "level" : "intermediate" }, { "name" : "Roadmap strategy", "level" : "intermediate" }, { "name" : "Technical product management", "level" : "intermediate" }, { "name" : "Feature delivery", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Product management, Generative AI, Advertising products", "majorSkillsList" : [ "Product management", "Generative AI", "Advertising products" ], "coreResponsibilities" : "Develop AI solutions, Build products leveraging generative models, Invent and design new solutions, Identify new opportunities, Write new proposals, Collaborate with cross-functional teams, Experiment with new possibilities, Take calculated risks, Develop product strategies, Develop roadmaps, Develop detailed requirements, Work closely with science teams, Work closely with engineering teams, Work closely with design teams, Work closely with operations teams, Work closely with legal teams, Work closely with customer service teams, Work closely with executive teams, Leverage analytical skills, Design Gen AI solutions, Implement Gen AI solutions, Create ad campaigns, Define advertising products, Deliver advertising products", "teamCollaboration" : "Cross-functional teams; Science teams; Engineering teams; Design teams; Operations teams; Legal teams; Customer service teams; Executive teams", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Sponsored Products; Sponsored Brands; Generative AI; Advertising landscape; Advertising lifecycle; Marketplace ecosystem; Amazon Ads", "domainList" : [ "sponsored-products", "sponsored-brands", "generative-ai", "advertising-landscape", "advertising-lifecycle", "marketplace-ecosystem", "amazon-ads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Generative AI", "Advertising landscape", "Advertising lifecycle", "Marketplace ecosystem", "Amazon Ads" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "innovationCreativity" : "Invent new solutions; Experiment with new possibilities", "problemSolvingSkills" : "Solving complex challenges; Analytical skills", "outcomesObjectives" : "Improve campaign performance; Drive new growth areas; Improve overall experience; Drive brand discovery; Drive sales", "qualificationsBasic" : "2+ years end to end product delivery, 5+ years technical product management, Bachelor's degree, Contribute to engineering discussions, Experience with feature delivery, Experience owning roadmap strategy, Experience managing technical products, Representing customer and stakeholder needs", "qualificationsPreferred" : "Experience using analytical tools, Experience building new tools, Experience in advertising, Experience with AI/ML technologies", "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 Key job responsibilities Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build products that leverage generative models to improve campaign performance. You invent and design new solutions for scientifically-complex problem areas in new business initiatives. Identify new opportunities and write new proposals to help us drive new growth areas for our advertisers. Collaborate with cross-functional teams on fast-paced, challenging projects, experimenting with new possibilities and taking calculated risks. Develop product strategies, roadmaps, and detailed requirements to execute your vision. Work closely with science, engineering, design, operations, legal, customer service, and executive teams to ensure seamless execution. Leverage your analytical skills and work independently, with high standards. Throughout, you will internalize Amazon’s Leadership Principles, and live those into everyday practices to guide your programs to success. 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: - 2+ years of end to end product delivery experience - 5+ years of technical product or program management experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Experience in advertising - Experience with AI/ML 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 $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Product Manager - Tech, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Product management, Generative AI, Advertising products. Develop AI solutions. Build products leveraging generative models", "postedDate" : "2026-06-13T15:54:07.540", "createdAt" : "2026-06-13T15:54:07.540", "lastUpdated" : "2026-06-15T02:06:25.484", "ingestTimestamp" : "2026-06-13T15:54:07.540", "mongoId" : "68e6b1d070f0b99d58d664d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102681/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product delivery", "Roadmap strategy", "Technical product management", "Feature delivery", "Analytical skills", "Product management", "Generative AI", "Advertising products", "Product strategy", "Roadmap development", "Requirements definition", "New business initiatives", "Campaign performance", "Roadmap definition", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Advertising lifecycle", "Marketplace ecosystem", "Amazon Ads", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 23, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69fe94ff4c40e2acd1121a11", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-14T23:42:23.847", "fingerprint" : "2c30339883b805d7f9e6ca996ae5e09485462026977101760f9d9606de995203", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "externalId" : "2f655fcc-f1c8-4196-8559-1eb8f5c2a307", "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", "technicalSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Data-driven decision making", "Statistical methods" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Software engineering, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies" ], "coreResponsibilities" : "Design and develop SPB Agent platform, Optimize for operation costs at scale, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Shape future of business customer connection, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect and build AI features", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI; Large Language Models; AI technologies; Advertising landscape; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "ai-technologies", "advertising-landscape", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI technologies", "Advertising landscape", "AI trust and safety" ], "innovationCreativity" : "Creative problem-solver; Innovators", "problemSolvingSkills" : "Creative problem-solver; Complex challenges", "qualificationsBasic" : "3+ years professional software development experience, 2+ years system design or architecture experience, Experience programming with at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science, Proven experience shipping Gen AI features at scale, Deep understanding of AI trust and 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 the SPB Agent 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 (SPB) Agent team, you will architect and build the next-generation AI features 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 SPB Agent team. The team owns SPB Agent, which integrates and powers reasoning behind agentic experiences in the Ads Console, Sales, and Seller Central. Examples of experiences that leverage the SPB Agent include but not limited to: 1) an AI Campaign Overview widget on an advertiser's Campaign Detail that dynamically adapts its narrative based on what the performance and campaign data Page 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 teams, grounded in each advertiser's stated objectives, product focus areas, and guardrails captured through their sales interaction 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. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Software engineering, Cloud technologies. Design and develop SPB Agent platform. Optimize for operation costs at scale", "postedDate" : "2026-06-13T05:34:20.315", "createdAt" : "2026-06-13T05:34:20.315", "lastUpdated" : "2026-06-14T23:42:23.847", "ingestTimestamp" : "2026-06-13T05:34:20.315", "mongoId" : "69fe94ff4c40e2acd1121a11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data-driven decision making", "Statistical methods", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies", "System design", "Architecture", "AI technologies", "Advertising landscape", "AI trust and safety" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69d3e6b92beec4dd3d3f7418", "title" : "Business Analyst II, Relay Supply Products and Technology", "company" : "ADCI", "industry" : "Operations, IT, Support Engineering, Planning/Development, Logistics", "salary" : { "min" : 1300000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Analyst in the Logistics industry in Gurugram, India, adjusted for company size and full-time employment." }, "location" : "Gurugram, Haryana, IND", "locations" : [ "Gurugram, Haryana, IND" ], "timestamp" : "2026-06-15T03:03:57.981", "fingerprint" : "f29d6776d2661c35c54938e5f5d6efe4bd1f73582a506dc5869af7a5a2e9e8ba", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383636/apply", "externalId" : "a6d0056d-b4fe-4c3e-8767-83a7f5191b79", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, Haryana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, HTML, Java, R, VBA, Excel", "professionalSkills" : [ "Data visualization", "Automation solutions", "Business decision making", "Process improvement", "Analytical modeling", "Data management", "Business performance", "Customer focus", "Key performance indicators", "Process issues" ], "hardSkillsList" : [ "Data analysis", "Query building", "Macro building", "Report design", "Data retrieval", "Data organization", "Reporting solutions", "Data discrepancies", "Metric building", "Process execution", "Complex queries" ], "softSkillsList" : [ "Flexibility" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Query building", "level" : "intermediate" }, { "name" : "Macro building", "level" : "intermediate" }, { "name" : "Report design", "level" : "intermediate" }, { "name" : "Data retrieval", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Reporting solutions", "level" : "intermediate" }, { "name" : "Data discrepancies", "level" : "intermediate" }, { "name" : "Metric building", "level" : "intermediate" }, { "name" : "Process execution", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Flexibility" } ], "majorSkills" : "Data analysis, Data visualization, Automation", "majorSkillsList" : [ "Data analysis", "Data visualization", "Automation" ], "coreResponsibilities" : "Provide data management processes, Access raw data feeds, Build queries, Build macros, Write VBA code, Organize data, Design reports, Present status-at-a-glance visualization, Retrieve large sets of data, Analyze large sets of data, Design reporting solutions, Enable stakeholders to manage business, Enable stakeholders to make decisions, Take ownership of reporting processes, Ensure reports are accurate, Ensure reports are timely, Resolve data discrepancies, Build key performance indicators, Manage key performance indicators, Measure reporting processes, Control reporting processes, Benchmark reporting processes, Monitor existent metrics, Build new metrics, Partner with internal teams, Identify process improvement opportunities, Identify system improvement opportunities, Support cross-functional teams, Execute existent program implementation, Generate complex queries, Dive deep on process issues, Innovate to improve customer experience", "teamCollaboration" : "Cross-functional teams; Internal teams", "domainKnowledge" : "Middle Mile Technology; Vendor management; Warehouse management; Carrier management; Product management", "domainList" : [ "middle-mile-technology", "vendor-management", "warehouse-management", "carrier-management", "product-management" ], "domainSpecificKnowledge" : [ "Middle Mile Technology", "Vendor management", "Warehouse management", "Carrier management", "Product management" ], "toolProficiency" : [ "Excel", "Tableau" ], "communicationSkills" : "Communicate findings; Influence stakeholders", "innovationCreativity" : "Innovate to improve customer experience", "problemSolvingSkills" : "Problem solving skills; Analytical skills", "qualificationsBasic" : "3+ years tax, finance or related analytical field experience, 5+ years Excel experience, 3+ years business or financial analysis experience, Experience defining requirements, Experience using data and metrics, Experience with SQL, Experience making business recommendations, Experience influencing stakeholders", "qualificationsPreferred" : "Bachelor's degree in business or analytical discipline, Experience in business or financial analysis, Experience in customer segmentation, Experience in customer behavior analysis, Experience in conjoint/trade-off modeling", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. The Middle Mile Technology organization, builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. We are seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of middle mile technology and promotes career progression Key job responsibilities • Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. • Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. • Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. • Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies. • Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes. • Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities. • Supporting cross-functional teams on the day-to-day execution of the existent program implementation. • Generating complex queries to dive deep on process issues • Innovating to improve customer experience Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications: - Bachelor's degree in business or analytical discipline - Experience in business or financial analysis - Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling 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" : "Business Analyst II, Relay Supply Products and Technology at ADCI. Skills: Data analysis, Data visualization, Automation. Provide data management processes. Access raw data feeds", "postedDate" : "2026-06-13T15:10:52.215", "createdAt" : "2026-06-13T15:10:52.215", "lastUpdated" : "2026-06-15T03:03:57.981", "ingestTimestamp" : "2026-06-13T15:10:52.215", "mongoId" : "69d3e6b92beec4dd3d3f7418", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383636/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Query building", "Macro building", "Report design", "Data retrieval", "Data organization", "Reporting solutions", "Data discrepancies", "Metric building", "Process execution", "Complex queries", "Flexibility", "Data visualization", "Automation", "Automation solutions", "Business decision making", "Process improvement", "Analytical modeling", "Data management", "Business performance", "Customer focus", "Key performance indicators", "Process issues", "Middle Mile Technology", "Vendor management", "Warehouse management", "Carrier management", "Product management", "Excel", "Tableau" ], "skillCount" : 30, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164da570f0b99d586f3210", "title" : "Senior Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:43:22.646", "fingerprint" : "3fde1e07b80475948efdcee2091002d1f28fb32eea244d69b1939161a81dcc5a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122587/apply", "externalId" : "9e085f2b-5b27-452f-a031-e70353db86f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, Java, Perl, Machine Learning, Deep Learning", "professionalSkills" : [ "Business strategy", "Business understanding", "Product focus" ], "hardSkillsList" : [ "Data analysis", "Modeling", "Machine learning", "Model validation", "Statistical analysis" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Machine Learning, Applied research, Data science", "majorSkillsList" : [ "Machine Learning", "Applied research", "Data science" ], "coreResponsibilities" : "Lead ML efforts, Perform analysis and modeling, Develop insights, Drive ML projects, Build ML models, Perform proof-of-concept, Experiment with models, Optimize models, Deploy models, Work with software engineers, Productionize ML models, Run A/B experiments, Gather data, Perform statistical analysis, Establish automated processes, Recruit Applied Scientists, Provide mentorship", "teamCollaboration" : "Across other teams", "domainKnowledge" : "Generative AI; Advertising landscape; Brand stores; Personalized shopping experiences", "domainList" : [ "generative-ai", "advertising-landscape", "brand-stores", "personalized-shopping-experiences" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Brand stores", "Personalized shopping experiences" ], "toolProficiency" : [ "Hadoop", "Spark" ], "innovationCreativity" : "Invent new experiences; R&D", "problemSolvingSkills" : "Solve ambiguous problems; Identify science deficiencies", "outcomesObjectives" : "Increase traffic monetization; Increase merchandise sales; Grow retail businesses", "qualificationsBasic" : "3+ years building ML models, PhD or Master's degree, 6+ years applied research experience, Knowledge of C++, Python, Java, or Perl, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "Experience with large scale ML systems, Experience with large scale distributed systems", "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 Amazon Brand Store team (such as www.amazon.com/lego) within Sponsored Products and Brands is a core product offering in the Amazon Advertising portfolio. The brand’s store are their dedicated place on Amazon to differentiate, grow sales, and build loyalty with millions of shoppers. Our mission is to empower brands of all sizes to tell their story in their own unique voice to consumers. We help brands create engaging shopping experiences that assist shoppers in discovering and evaluating them as part of their purchase decisions. We succeed when we are both useful to shoppers and when brands can attract and retain shopper’s attention using our products. A cool case study on brand stores can be found here: https://advertising.amazon.com/library/case-studies/nespresso-brand-store-increases-shopper-engagement. We are looking for a Senior Applied Scientist to lead the generation of data-driven insights that bring long-term value to brands, as well as the ideation and creation of personalized shopping experiences for brand stores through industry-leading generative AI technologies. In this role, you will influence our team's science and business strategy with your expertise and deep business understanding. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state-of-the-art machine learning research. Impact and Career Growth You will invent new experiences and influence customer-facing shopping experiences to help brands grow their retail businesses. This is your opportunity to work within the fastest-growing businesses across all of Amazon! You'll define a long-term science vision for AI-driven brand shopping experiences, working backwards from our customers' needs and translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Key job responsibilities As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. 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 - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - 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" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Applied research, Data science. Lead ML efforts. 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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 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. This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. As a Sr TPM you will collaborate with partners across numerous domains including engineering, product, finance, business intelligence, and more. You will be responsible for managing multiple projects, while working across teams within the greater Sponsored Products organization. You will not only help us deliver on our goals, but will also help shape our engineering vision and roadmap through active collaboration with our leadership team. Our ideal candidate will be highly self-driven, have excellent communication skills, and possess a strong technical background focused on problem solving and system design. If you are an individual who is looking for an opportunity to lead, invent, design and build, while making a huge impact on Amazon and its customers, this is the perfect time to jump onboard. Key job responsibilities - Successfully lead delivery of large, high-impact initiatives across multiple teams and organizations - Work with stakeholders and senior leadership to develop product strategies, roadmaps, and detailed requirements to execute on our vision - Bring strong, data-driven business and technical judgment to decisions. Assess risk, drive clarity, and create the correct sense of urgency for delivery - Define mechanism to optimize the output and collaboration within the team and with partners - Help develop the team’s long-term technical strategy based on our business goals Basic Qualifications: - 5+ years of technical product or program management experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience building and evaluating system-level technical design - Experience developing and executing/delivering product and technical roadmaps Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership 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 - 163,600.00 - 221,300.00 USD annually USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually", "summaryDescription" : "Sr. Technical Program Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Technical program management, Generative AI, System design. Lead delivery of initiatives. 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At AWS Professional Services Products and Solutions, we don't just support cloud transformations — we accelerate them. Our team builds the internal products and tools that empower AWS consultants to deliver faster, smarter, and more impactful customer outcomes. At the heart of our work is a knowledge base that brings quality, consistency, and efficiency to every customer engagement around the globe. If you're driven to build products that scale impact across thousands of customers and reshape how enterprises adopt the cloud, we want you on our team. Key job responsibilities - Lead the design, delivery, and implementation of complex, large-scale systems and features, providing technical guidance and advocating for Amazon's highest engineering standards. - Collaborate with cross functional roles (e.g. Product and UX), working backwards from customer needs to design solutions that solve real problems. - Architect and develop robust, scalable, and maintainable services across end-to-end solutions, often spanning multiple platforms (web, mobile, backend) - Implement and drive best practices in modern software engineering — design, testing, version control, documentation, deployment, and operations — including the adoption of GenAI assistance tools, automated code reviews, and AI-assisted testing. - Analyse and optimise system performance, scalability, and reliability using data-driven approaches and modern monitoring tools. - Define technical strategies and contribute to the long-term roadmap, including integration of emerging AI technologies. - Lead conversations with senior leadership. - Actively participate in hiring, mentoring, and growing other engineers, and foster knowledge-sharing across the team and the broader organisation. - Obtain and maintain AWS Certifications. A day in the life As a Senior Software Development Engineer (Snr SDE), you'll be a technical leader driving decisions that impact critical customer experiences. You'll tackle complex initiatives head-on—building high-quality, scalable systems for our global customer base while shaping our technical architecture and maintaining direct ownership of key components. Bridging strategic vision with tactical execution, you'll combine hands-on development with system design, mentor team members, and champion engineering excellence to ensure we build maintainable solutions that scale with our business. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Experience leading engineering teams as a mentor or tech lead - Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree - Experience (non-internship) in professional software development, or experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Deep understanding of software engineering best practices for full software development lifecycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations. Preferred Qualifications: - Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience designing and developing large scale, high-traffic applications - Proficiency with GenAI assistance tools for development and testing Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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. 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With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW We are seeking a Director of Gas Origination to support the Sr. Director, Commercials Lead in managing natural gas marketing activities. This role will focus on deal structuring, pricing, and market analytics, while providing commercial expertise in natural gas procurement, trading, and structured transactions. The candidate will play a critical role in the due diligence of acquisitions, supporting the trade floor, and providing asset/portfolio hedging strategies. The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies. RESPONSIBILITIES Develop and execute natural gas marketing strategies across priority basins (Gulf Coast, Texas, Marcellus/Utica). Structure and price physical and financial natural gas deals, including producer services and asset management agreements. Support due diligence for acquisitions and evaluate market opportunities. Manage enabling agreements (NAESB, ISDA) and ensure compliance with contractual obligations. Collaborate with the trade floor to optimize portfolio positions and hedge exposure. Conduct market analytics on pipeline flows, basis differentials, and regional supply-demand dynamics. Provide insights into transportation, storage, and balancing requirements. REQUIRED QUALIFICATIONS 15+ years of experience in gas marketing, trading, or commercial structuring. Strong analytical background in deal structuring, pricing, and market analytics. Working knowledge of enabling agreements (ISDA, NAESB). Experience with producer services, asset management agreements, and structured transactions. Familiarity with Gulf Coast, Texas, and Marcellus/Utica pipelines and basins. Excellent communication and negotiation skills. Compensation: $200,000 to $250,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates. Hanwha Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. www.174powerglobal.com.", "summaryDescription" : "Director, Gas Origination at Hanwha Energy USA", "postedDate" : "2026-06-14T21:47:23.356", "createdAt" : "2026-06-14T21:47:23.356", "lastUpdated" : "2026-06-16T04:46:44.497", "ingestTimestamp" : "2026-06-14T21:47:23.356", "mongoId" : "6a2c6c6d74d8ee00a0918b1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "69164da670f0b99d586f327e", "title" : "Software Development Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:57:31.509", "fingerprint" : "62380f2d9cebb7ad6b296892feae2fe6bedcf0fe082d61c40d484c1fb36c4056", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122540/apply", "externalId" : "a29f43b2-4fa9-4cbc-bc06-aac7535830bf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, Gen AI", "professionalSkills" : [ "System design", "Roadmap planning", "Career development" ], "hardSkillsList" : [ "Software development", "AI technologies" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, Gen AI, Software development", "majorSkillsList" : [ "Machine Learning", "Gen AI", "Software development" ], "coreResponsibilities" : "Manage cross-functional team, Lead ML Engineers, Lead Software Engineers, Lead Applied Scientists, Develop engineering roadmaps, Run annual planning, Foster cross-team collaboration, Hire top talent, Develop top talent, Provide technical guidance, Provide career guidance, Stay informed about system designs, Bring insights to team", "teamCollaboration" : "Cross-functional team; Cross-team collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Advertising business; Generative AI", "domainList" : [ "advertising-business", "generative-ai" ], "domainSpecificKnowledge" : [ "Advertising business", "Generative AI" ], "communicationSkills" : "Technical designs; Product strategy", "innovationCreativity" : "Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 3+ years system design/architecture, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring/coaching engineers, Experience managing teams of engineers, Experience with AI/ML technologies", "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. Key job responsibilities As a Software Development Manager, you will: * Directly manage and lead a cross-functional team of Machine Learning Engineers, Software Development Engineers and Applied Scientists. * Develop engineering roadmaps for SPB ads with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration for advertising applications. * Hire and develop top talent, provide technical and career development guidance to engineers within and across the organization. * Stay informed about recent system designs that are pertinent to the SPB advertising business and bring those insights with the team. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience with AI/ML 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 $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Gen AI, Software development. Manage cross-functional team. Lead ML Engineers", "postedDate" : "2026-06-12T23:41:22.380", "createdAt" : "2026-06-12T23:41:22.380", "lastUpdated" : "2026-06-15T00:57:31.509", "ingestTimestamp" : "2026-06-12T23:41:22.380", "mongoId" : "69164da670f0b99d586f327e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122540/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "AI technologies", "Leadership", "Machine Learning", "Gen AI", "System design", "Roadmap planning", "Career development", "Advertising business", "Generative AI" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6931903470f0b99d58087a7f", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:17:27.911", "fingerprint" : "5fd2d0da0c7f588f48a68b9c00d19940dd8d24874fcc07614c46c148c45535d4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136770/apply", "externalId" : "532bdb05-2271-4c29-8949-512084027c14", "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" : "Gen AI, ML, Generative AI, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution" ], "hardSkillsList" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Rational decision-making", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Tool improvement", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Team obsessed" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Optimize resource utilization, Optimize token consumption, Optimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Pioneer new approaches to natural language interactions, Shape the future of business connections, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Provide personalization experiences, Provide intelligent advertising experiences, Own foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain scalable APIs, Design orchestration layers, Maintain orchestration layers, Allow agents to connect reliably, Build durable agent-to-agent communication protocols, Build discovery protocols, Build negotiation protocols, Build task lifecycle management, Build agent management frameworks, Build state management frameworks, Persist context across workflows, Deliver streaming integration pipelines, Deliver event-driven integration pipelines, Support real-time customizations, Support integrations with 1P experiences, Own infrastructure governance layers, Implement standardized access-control frameworks, Implement data masking policies, Implement data retention policies, Implement rate-limiting, Implement audit logging, Implement safety guardrails, Ensure predictable agent behavior, Ensure compliant agent behavior, Invest in observability platforms, Optimize orchestration layers, Provide telemetry-driven insights, Extend platform to external developers, Extend platform to partners, Expose systems safely, Empower partners to create experiences, Inherit governance guarantees, Inherit security guarantees, Inherit scaling guarantees, Provide personalized insights, Provide guidance, Account for advertiser's product catalog, Account for performance metrics, Account for relevant signals, Tailor full page experience, Update individual widgets, Provide recommendations, Provide filtering capabilities, Provide AI companion experience, Provide interactive experience, Provide automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf of sellers", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions; Internal agentic applications; External agentic applications; First-party systems; Partner systems", "projectManagementSkills" : [ "Full software development life cycle" ], "domainKnowledge" : "Generative AI; Large Language Models; Distributed systems; Cloud technologies; Advertising lifecycle; AI trust and safety; Agentic experiences; Agent communication protocols; Agent state management; Event-driven architectures; Infrastructure governance; Data masking; Rate-limiting; Audit logging; Safety guardrails; Observability platforms; Personalized advertising; Advertiser catalog; Performance metrics", "domainList" : [ "generative-ai", "large-language-models", "distributed-systems", "cloud-technologies", "advertising-lifecycle", "ai-trust-and-safety", "agentic-experiences", "agent-communication-protocols", "agent-state-management", "event-driven-architectures", "infrastructure-governance", "data-masking", "rate-limiting", "audit-logging", "safety-guardrails", "observability-platforms", "personalized-advertising", "advertiser-catalog", "performance-metrics" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "Advertising lifecycle", "AI trust and safety", "Agentic experiences", "Agent communication protocols", "Agent state management", "Event-driven architectures", "Infrastructure governance", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative atmosphere; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making; Explore new problem spaces", "outcomesObjectives" : "Provide consistent outcomes; Provide well-reasoned outcomes; Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "Software engineering skills, Experience in distributed systems, Experience in cloud technologies, Creative problem-solver, Track record of delivering innovative solutions, Experience programming with at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle, Coding standards experience, Code reviews experience, Source control management experience, Build processes experience, Testing experience, Operations experience, Bachelor's degree in computer science, Proven experience shipping Gen AI-powered features at scale, Deep understanding of AI trust and safety considerations", "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. 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 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 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Distributed systems, Cloud technologies. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T01:46:36.935", "createdAt" : "2026-06-13T01:46:36.935", "lastUpdated" : "2026-06-15T01:17:27.911", "ingestTimestamp" : "2026-06-13T01:46:36.935", "mongoId" : "6931903470f0b99d58087a7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136770/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving", "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution", "Full software development life cycle", "Advertising lifecycle", "AI trust and safety", "Agent communication protocols", "Event-driven architectures", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "skillCount" : 54, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" } ], "status" : 200, "message" : "load and unload cylinders cryogenic tanks and other gas products jobs", "metadata" : { "title" : "load and unload cylinders cryogenic tanks and other gas products" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 39479, "totalPages" : 790, "hasNext" : true, "hasPrevious" : false } }

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