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In this role within our Accounting Department—supporting either our Accounts Payable or Property Accounting team—you will leverage your problem-solving and organizational abilities to prepare, process, and maintain accurate accounts payable records. Join our busy collaborative team onsite at our stunning campus in Redlands, CA. Responsibilities Review all invoices for assigned vendors for appropriate documentation and approval prior to payment Prepare and process payment of invoices, including check, ACH, and wire transfers Process 3-way purchase order match for invoices into SAP ERP system; reconcile vendor statements, credit cards, discrepancies, and overpayments Provide accurate documentation and records management in accordance with company policy and general accounting practices and principles Respond to all inquiries from internal and external customers utilizing the shared mailbox Perform general office assignments as needed to support the team Requirements 1+ years of experience in accounting support Strong data entry skills with a high degree of accuracy, attention to detail, and confidentiality Effective organizational and time management skills with the ability to meet deadlines Strong communication skills with internal and external customers across phone, email, and Microsoft Teams, with the ability to prioritize and multi‑task effectively Proficiency with the Microsoft Office Suite; ability to use a variety of online systems Ability to work both independently and within a team environment Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the US High school diploma or equivalent Recommended Qualifications Minimum typing speed of 25 wpm SAP or similar ERP experience Accounts payable experience working with a high volume of transactions #LI-JH2 #LI-onsite Total Rewards Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 64 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is $19.75—$32 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. 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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 . 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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 . 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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 . 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We have made it our mission to create a hassle-free way for people to buy and sell cars. We saw a huge problem with how much of a headache it is to buy a car the traditional way, so we committed ourselves to put customer satisfaction at the core of our business. We have built a no-pressure, no-haggle online car buying experience that saves our customers time and money. Customers can search through thousands of vehicles online, see full 360-degree views of both the interior and exterior of the vehicles before deciding to go through the purchasing process. For more information on Carvana and our mission, sneak a peek at our company introduction video or learn more about what it’s like to work here from the people that already do. About the team The Corporate Risk and Insurance team’s core function includes strategic procurement of all corporate insurance policies, comprehensive claims management from the first report of an event to final settlement, and accurate financial reporting. We are a proactive team committed to minimizing the company's exposure to risk and operational continuity. The team uses a Risk Management Information System (RMIS) to manage the insurance program, claims and house its data. About the position The Analyst, Corporate Risk and Insurance Analytics is a highly visible role within our Corporate Risk and Insurance team, sitting at the intersection of risk strategy and data. You will identify emerging risk trends and opportunities through data-driven analysis, using complex datasets to deliver insights and recommendations that directly inform leadership decisions. Your primary focus will be developing and maintaining analytics related to the company’s claims, commercial insurance program, and supporting the company’s broader risk management strategy. You will report directly to the Associate Director of Corporate Risk and Insurance and work closely with department leaders, the RMIS Administrator, and other internal stakeholders to achieve company objectives. This role is in-person, Monday-Friday at our corporate headquarters in Tempe, Arizona. What you’ll be doing Serve as the primary contact for Corporate Risk and Insurance data needs, partnering with cross-functional stakeholders to understand and address analytical requirements. Develop and maintain dashboards and reports from raw data that provide actionable insights to Risk Management leadership and business partners. Manipulate and analyze data from a wide range of sources, including various internal sources and data integrations within the RMIS, to build a deep understanding of the company’s risk profile. Leverage your dashboards and analyses to serve as a subject matter expert, delivering clear, valuable insights to Risk Management Leadership. Serve as the administrator and primary data owner for the Corporate Risk and Insurance Snowflake database, managing access controls, maintaining integrity, structure and governance of the team’s sensitive data assets within Snowlfake. Perform light data engineering tasks, including data masking and unmasking of sensitive and protected datasets, and developing new schemas to support secure data sharing with cross-functional business partners. Monitor the quality and integrity of data collected and maintained by the Corporate Risk and Insurance team within the RMIS and source integrations, partnering with team leadership to plan and execute corrective actions when needed. Contribute to special projects and initiatives as the team’s capabilities continue to grow. What you should know/have Bachelor’s degree in Business Administration, Economics, Engineering, Finance, Mathematics, or similar field from an accredited institution required. General knowledge of the commercial insurance industry and commercial risk is helpful, but not required. 3+ years of experience in data, reporting, or analytics. Strong analytical skills with proficiency in Snowflake and SQL. Familiar with ETL processes and can autonomously get data from various sources and/or work with data engineering on complex data sets and integrations. Proficiency in data visualization software, such as Tableau and SSRS. Proficient in statistical measures, techniques, and data literacy best practices. Thorough knowledge of Microsoft Office Suite (Word, Excel, PowerPoint), Google Office. Demonstrated ability to work independently, manage projects end-to-end, and deliver results in a team environment. Ability to communicate effectively and work collaboratively with internal peers and external vendors. Excellent written and communication skills. Ability to exercise prudent discretion when handling confidential and sensitive information. General knowledge of the commercial insurance industry or risk management is a plus, but not required. Prior experience with risk or insurance data is a bonus and will support a faster ramp. What we’ll offer in return: Full-Time Salary Position with a competitive salary. Medical, Dental, and Vision benefits. 401K with company match. A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.. A great wellness program to keep you healthy and happy both physically and mentally. Access to opportunities to expand your skill set and share your knowledge with others across the organization. A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow. Other requirements To be able to do your job at Carvana, there are some basic requirements we want to share with you. Must be able to read, write, speak and understand English. Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. Legal stuff Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.", "summaryDescription" : "Analyst, Corporate Risk and Insurance Analytics at Carvana", "postedDate" : "2026-06-14T20:48:08.912", "createdAt" : "2026-06-14T20:48:08.912", "lastUpdated" : "2026-06-16T00:40:49.972", "ingestTimestamp" : "2026-06-14T20:48:08.912", "mongoId" : "6a2ca3b274d8ee00a09acd54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "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" : "6a30716df292fd229cff9274", "title" : "Customer Service Claims and Life Insurance Advisor", "company" : "Sutherland", "industry" : "Telecommunications", "salary" : { "min" : 2300000.0, "max" : 3500000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Kingston, Jamaica, adjusted for mid-seniority in the insurance industry." }, "location" : "Kingston, St. Andrew Parish, Jamaica, //1, JM", "locations" : [ "Kingston, St. Andrew Parish, Jamaica", "//1", "JM" ], "timestamp" : "2026-06-16T10:14:59.477", "fingerprint" : "ce7a0dd87fb7fd53e2df2d0f9d683b0eaa25ad44ee4a83093d6f98e8efcb46ec", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sutherland/744000132079208-customer-service-claims-and-life-insurance-advisor-", "externalId" : "744000132079208", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew Parish", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew Parish, Jamaica", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win. Sutherland was founded 35 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle. The Claims Customer Service Representative serves as a primary point of contact for beneficiaries, families, and representatives reporting life and annuity death claims. This role requires a high level of compassion, empathy, and active listening, as callers are often navigating emotionally difficult situations. The representative independently handles routine and increasingly complex inquiries, provides clear guidance on next steps, and ensures a respectful, supportive, and accurate claims experience from first contact through resolution. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. The Life Insurance Customer Service Representative serves as a primary point of contact for policyowners, agents, and internal partners regarding life insurance products and services. This role handles a high volume of inbound calls and requires strong product knowledge, attention to detail, and the ability to clearly explain complex life insurance concepts. The representative independently manages routine and increasingly complex inquiries while delivering an efficient, accurate, and professional customer experience. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. Serve as the first point of contact for life and annuity death claims, responding with patience, empathy, and professionalism while actively listening to customer needs. • Handle inbound life insurance customer service calls related to policy information, billing, beneficiaries, ownership changes, policy values, loans, withdrawals, and general service requests. • Handle inbound calls related to claim notification, documentation requirements, claim status, and general inquiries. • Clearly explain claims processes, required forms, timelines, and next steps in a calm, supportive, and easy-to-understand manner. • Research and review policy and claim information across multiple systems to provide accurate and timely responses. • Serve as a knowledgeable point of contact, explaining complex life insurance products, provisions, and options in clear, customer-friendly language. • Deliver routine work independently and manage increasingly complex inquiries by reviewing policy records and applying established procedures and guidelines. • Research and analyze policy data across multiple systems to provide accurate, timely responses while meeting service and quality standards • Apply critical thinking to interpret unique or non-standard customer situations, analyzing policy details, context, and customer needs to determine the most appropriate procedural path. • Use sound judgment to adapt established procedures when scenarios fall outside typical patterns, recognizing exceptions and providing accurate, compliant, customer-focused solutions • Document all customer interactions thoroughly and accurately, ensuring policy records are complete, current, and compliant. • Apply sound judgment and discretion when handling confidential customer and policy information. • Identify when issues require escalation and partner with senior team members or leadership to resolve complex situations. • Meet or exceed established productivity, quality, and service level expectations in a fast-paced call-center environment. • Support departmental and enterprise initiatives, including system changes, process improvements, and ongoing training. Protect customers’ privacy and reassure them with empathy and professionalism. The incumbent in this role must demonstrate a willingness to provide strong customer service – providing accurate information to customers, expressing appropriate empathy, and resolving customer issues where appropriate. This position requires the use of multiple system applications and administrative processes. While service is focused on our external customers, this position is responsible for creating detailed/appropriate documentation for our internal cross-functional business partners. ## Qualifications Our most successful candidates will have: · * Must be 18 years or older. * A minimum of 3-4 CXC/GCE/City & Guilds subjects inclusive of English Language, or a U.S. high school diploma or GED. CXC/CSEC, City & Guilds. I, II, III; GCE A, B, C; SSC 4, 5; JSCE Pass; NCTVET or HEART Level 1, 2, 3; and CCSLC - Competence & Mastery. ( Must have proof of qualifications) * Must have a valid (not expired) government issued ID, TRN and NIS card. * Must be able to pass a criminal background check and drug test as needed. * Must have flexible availability to work any day and any assigned shift weekly.(Weekends and Public Holidays). * Must be able to train and / or work onsite at our Red Hills Road site. * 1 year of BPO/customer service experience preferred. * Prior experience handling sensitive or emotionally complex customer interactions strongly preferred. * Demonstrated ability to perform at a high level, to support our high volume of inbound calls. * Experience in customer service is an asset and preferred. * Good systematic problem solving ability , using sound business judgment, and following through on commitments to customers. * The ability to quickly and accurately identify and assess individual customer needs and take appropriate action steps to satisfy those needs. * Excellent attention to detail. * A passion for helping customers and exceeding their expectations with high integrity. * Strong verbal and written communication skills and the ability to tailor styles to the audience * See through the eyes of the customer. * Excellent verbal and written communication skills; able to translate Customer communication rapidly and effectively on live voice or chat interactions. proficient reading skills required. * The ability to project patience, empathy, caring, and sincerity in written words or voice tone, depending on channel. * Ability to effectively organize, prioritize, multi-task and manage time. * Multi-tasking skills, showcased through the use of several applications; experience working with CRM applications preferred. * Basic PC keyboarding skills; basic Microsoft Office (Outlook, Word, Excel) experience required. * Ability to type over 30 WPM with 80% accuracy. * Must be very tech savvy with strong abilities in handling troubleshooting techniques and resolving technical issues. * Inspire confidence and positively influence the behaviour, actions, and thoughts of others. Required Skills & Capabilities: Compassion, Listening, and Emotional Intelligence (Must-Have): • Demonstrated ability to listen actively, respond empathetically, and communicate with sensitivity during emotionally charged conversations. • Comfort supporting individuals experiencing loss, grief, or stress while maintaining professionalism and composure. • Strong critical-thinking ability to interpret ambiguous scenarios, assess multiple data points, and determine correct procedural application. Core Professional Skills: • Strong verbal and written communication skills, with the ability to explain complex information clearly and calmly. • Proven customer service experience handling complex or sensitive inquiries. • Ability to work effectively in a fast-paced, call-center environment with consistent call volumes. • Strong organizational skills, attention to detail, and ability to multitask across systems. • Ability to navigate non-standard customer situations by applying procedures thoughtfully rather than relying solely on scripted responses. • Demonstrated judgment in situations requiring evaluation beyond predefined workflows or standard call types. • Sound judgment and decision-making skills, with appropriate escalation when needed. ## Additional Information Our employees enjoy: * Competitive compensation packages inclusive of base pay, incentives, over-time and shift differentials for certain shifts. * Annual merit increase based on performance. * Paid Training. * Discounts for several corporate and retail partners for services and products once Sutherland ID is presented. * Excellent training and supervisory support - to help you feel comfortable servicing our customers. * Competitive Salary with attractive and attainable PBI structure. * Paid vacation and sick leave annually. * Exceptional Health and Life Insurance Plan * Lunch benefits and subsidy. * Onsite lunch concessionaire at reduced rates. * Transportation/ Shuttle Services - Free transportation home for shifts that end after 9:00 pm and pick-ups for shifts that begin before 6am * Free On-site medical suite with nurse and medical doctor. * Daily Refuel Plan - Robust and dynamic schedule of activities to keep employees energized both at home and in the office. * Paid referral program * Career development & growth opportunities for advancement. * Excellent Reward and recognition programs. As your prospective employer, we need to process your Personal Data as needed to evaluate your qualification for the position you are applying for with Sutherland. During the recruitment process, your Personal Data may be transferred outside of Jamaica and disclosed to third parties in the normal course of the recruitment and/or employment process or as needed to comply with applicable laws. This may include transferring information to our affiliated Companies for purposes connected to your employment with the company or to the management of Sutherland’s business.", "summaryDescription" : "Customer Service Claims and Life Insurance Advisor at Sutherland", "postedDate" : "2026-06-14T22:35:27.000", "createdAt" : "2026-06-16T01:34:31.997", "lastUpdated" : "2026-06-16T10:14:59.477", "ingestTimestamp" : "2026-06-16T01:34:31.997", "mongoId" : "6a30716df292fd229cff9274", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055daf292fd229cf22481", "title" : "Customer Service Claims and Life Insurance Advisor", "company" : "Sutherland", "industry" : "Telecommunications", "salary" : { "min" : 2300000.0, "max" : 3500000.0, "currency" : "JMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Kingston, Jamaica, adjusted for mid-seniority and the insurance industry." }, "location" : "Kingston, St. Andrew Parish, Jamaica, //1, JM", "locations" : [ "Kingston, St. Andrew Parish, Jamaica", "//1", "JM" ], "timestamp" : "2026-06-16T09:36:36.123", "fingerprint" : "e548b6a2bfa941ad6c3f029b37badc0a950a771fd4552a6efcfabf12d78448df", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sutherland/744000132079208-customer-service-claims-and-life-insurance-advisor-", "externalId" : "744000132079208", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "Saint Andrew Parish", "country" : "Jamaica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "17.9841723,-76.8057525" } ], "locationText" : "Kingston, Saint Andrew Parish, Jamaica", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "remoteFriendly" : false, "rawDescription" : "We are One Sutherland — a global team where everyone is working together to create great breakthrough solutions. Our workforce has thrived in an environment of diversity of thought, experience and background. We celebrate our diversity and embrace it whole-heartedly. Sutherland is an equal opportunity employer. We promote a positive work environment by conducting ourselves professionally and helping each other achieve our goal of One Sutherland Team, Playing to Win. Sutherland was founded 35 years ago (1986). Since then, we have become a leading global provider of business process and technology management services offering an integrated portfolio of analytics-driven back office and customer-facing solutions that support the entire customer life cycle. The Claims Customer Service Representative serves as a primary point of contact for beneficiaries, families, and representatives reporting life and annuity death claims. This role requires a high level of compassion, empathy, and active listening, as callers are often navigating emotionally difficult situations. The representative independently handles routine and increasingly complex inquiries, provides clear guidance on next steps, and ensures a respectful, supportive, and accurate claims experience from first contact through resolution. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. The Life Insurance Customer Service Representative serves as a primary point of contact for policyowners, agents, and internal partners regarding life insurance products and services. This role handles a high volume of inbound calls and requires strong product knowledge, attention to detail, and the ability to clearly explain complex life insurance concepts. The representative independently manages routine and increasingly complex inquiries while delivering an efficient, accurate, and professional customer experience. The role also requires the ability to balance emotional sensitivity with efficiency, accuracy, and regulatory compliance. Serve as the first point of contact for life and annuity death claims, responding with patience, empathy, and professionalism while actively listening to customer needs. • Handle inbound life insurance customer service calls related to policy information, billing, beneficiaries, ownership changes, policy values, loans, withdrawals, and general service requests. • Handle inbound calls related to claim notification, documentation requirements, claim status, and general inquiries. • Clearly explain claims processes, required forms, timelines, and next steps in a calm, supportive, and easy-to-understand manner. • Research and review policy and claim information across multiple systems to provide accurate and timely responses. • Serve as a knowledgeable point of contact, explaining complex life insurance products, provisions, and options in clear, customer-friendly language. • Deliver routine work independently and manage increasingly complex inquiries by reviewing policy records and applying established procedures and guidelines. • Research and analyze policy data across multiple systems to provide accurate, timely responses while meeting service and quality standards • Apply critical thinking to interpret unique or non-standard customer situations, analyzing policy details, context, and customer needs to determine the most appropriate procedural path. • Use sound judgment to adapt established procedures when scenarios fall outside typical patterns, recognizing exceptions and providing accurate, compliant, customer-focused solutions • Document all customer interactions thoroughly and accurately, ensuring policy records are complete, current, and compliant. • Apply sound judgment and discretion when handling confidential customer and policy information. • Identify when issues require escalation and partner with senior team members or leadership to resolve complex situations. • Meet or exceed established productivity, quality, and service level expectations in a fast-paced call-center environment. • Support departmental and enterprise initiatives, including system changes, process improvements, and ongoing training. Protect customers’ privacy and reassure them with empathy and professionalism. The incumbent in this role must demonstrate a willingness to provide strong customer service – providing accurate information to customers, expressing appropriate empathy, and resolving customer issues where appropriate. This position requires the use of multiple system applications and administrative processes. While service is focused on our external customers, this position is responsible for creating detailed/appropriate documentation for our internal cross-functional business partners. ## Qualifications Our most successful candidates will have: · * Must be 18 years or older. * A minimum of 3-4 CXC/GCE/City & Guilds subjects inclusive of English Language, or a U.S. high school diploma or GED. CXC/CSEC, City & Guilds. I, II, III; GCE A, B, C; SSC 4, 5; JSCE Pass; NCTVET or HEART Level 1, 2, 3; and CCSLC - Competence & Mastery. ( Must have proof of qualifications) * Must have a valid (not expired) government issued ID, TRN and NIS card. * Must be able to pass a criminal background check and drug test as needed. * Must have flexible availability to work any day and any assigned shift weekly.(Weekends and Public Holidays). * Must be able to train and / or work onsite at our Red Hills Road site. * 1 year of BPO/customer service experience preferred. * Prior experience handling sensitive or emotionally complex customer interactions strongly preferred. * Demonstrated ability to perform at a high level, to support our high volume of inbound calls. * Experience in customer service is an asset and preferred. * Good systematic problem solving ability , using sound business judgment, and following through on commitments to customers. * The ability to quickly and accurately identify and assess individual customer needs and take appropriate action steps to satisfy those needs. * Excellent attention to detail. * A passion for helping customers and exceeding their expectations with high integrity. * Strong verbal and written communication skills and the ability to tailor styles to the audience * See through the eyes of the customer. * Excellent verbal and written communication skills; able to translate Customer communication rapidly and effectively on live voice or chat interactions. proficient reading skills required. * The ability to project patience, empathy, caring, and sincerity in written words or voice tone, depending on channel. * Ability to effectively organize, prioritize, multi-task and manage time. * Multi-tasking skills, showcased through the use of several applications; experience working with CRM applications preferred. * Basic PC keyboarding skills; basic Microsoft Office (Outlook, Word, Excel) experience required. * Ability to type over 30 WPM with 80% accuracy. * Must be very tech savvy with strong abilities in handling troubleshooting techniques and resolving technical issues. * Inspire confidence and positively influence the behaviour, actions, and thoughts of others. Required Skills & Capabilities: Compassion, Listening, and Emotional Intelligence (Must-Have): • Demonstrated ability to listen actively, respond empathetically, and communicate with sensitivity during emotionally charged conversations. • Comfort supporting individuals experiencing loss, grief, or stress while maintaining professionalism and composure. • Strong critical-thinking ability to interpret ambiguous scenarios, assess multiple data points, and determine correct procedural application. Core Professional Skills: • Strong verbal and written communication skills, with the ability to explain complex information clearly and calmly. • Proven customer service experience handling complex or sensitive inquiries. • Ability to work effectively in a fast-paced, call-center environment with consistent call volumes. • Strong organizational skills, attention to detail, and ability to multitask across systems. • Ability to navigate non-standard customer situations by applying procedures thoughtfully rather than relying solely on scripted responses. • Demonstrated judgment in situations requiring evaluation beyond predefined workflows or standard call types. • Sound judgment and decision-making skills, with appropriate escalation when needed. ## Additional Information Our employees enjoy: * Competitive compensation packages inclusive of base pay, incentives, over-time and shift differentials for certain shifts. * Annual merit increase based on performance. * Paid Training. * Discounts for several corporate and retail partners for services and products once Sutherland ID is presented. * Excellent training and supervisory support - to help you feel comfortable servicing our customers. * Competitive Salary with attractive and attainable PBI structure. * Paid vacation and sick leave annually. * Exceptional Health and Life Insurance Plan * Lunch benefits and subsidy. * Onsite lunch concessionaire at reduced rates. * Transportation/ Shuttle Services - Free transportation home for shifts that end after 9:00 pm and pick-ups for shifts that begin before 6am * Free On-site medical suite with nurse and medical doctor. * Daily Refuel Plan - Robust and dynamic schedule of activities to keep employees energized both at home and in the office. * Paid referral program * Career development & growth opportunities for advancement. * Excellent Reward and recognition programs. As your prospective employer, we need to process your Personal Data as needed to evaluate your qualification for the position you are applying for with Sutherland. During the recruitment process, your Personal Data may be transferred outside of Jamaica and disclosed to third parties in the normal course of the recruitment and/or employment process or as needed to comply with applicable laws. This may include transferring information to our affiliated Companies for purposes connected to your employment with the company or to the management of Sutherland’s business.", "summaryDescription" : "Customer Service Claims and Life Insurance Advisor at Sutherland", "postedDate" : "2026-06-14T22:35:27.000", "createdAt" : "2026-06-15T23:42:44.925", "lastUpdated" : "2026-06-16T09:36:36.123", "ingestTimestamp" : "2026-06-15T23:42:44.925", "mongoId" : "6a3055daf292fd229cf22481", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "69fe94ff4c40e2acd11219c3", "title" : "Applied Scientist II, Sponsored Products and Brands-Agent", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 172400.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:55:25.162", "fingerprint" : "7ad0ab23796aa2e82cc054ecf4362c263f771704655b3de969e0aff032ad13a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "externalId" : "31bf1933-f742-480e-ad74-77c1c946969f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, R, SQL, AWS, SageMaker, PyTorch, TensorFlow, Spark, Machine Learning, Data Science", "professionalSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design" ], "hardSkillsList" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Algorithm Development", "majorSkillsList" : [ "Machine Learning", "Data Science", "Algorithm Development" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Conduct experiments to test hypotheses, Analyze large datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Sponsored Products; Brands", "domainList" : [ "sponsored-products", "brands" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Brands" ], "toolProficiency" : [ "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree in Computer Science, Statistics, or related quantitative field, 3+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in Computer Science, Statistics, or related quantitative field, Experience with AWS SageMaker, Experience with PyTorch or TensorFlow, Experience with large-scale data processing frameworks (e.g., Spark)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About the team SPB Agent team's vision is to build a highly personalized and context-aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across all experiences. The SPB-Agent is the central agent that interfaces with advertisers across Ads Console, Selling Partner portals (Seller Central, KDP, Vendor Central), and internal Sales systems. We identify high-impact opportunities spanning from strategic product guidance to granular optimization and deliver them through personalized, scalable experiences grounded in state-of-the-art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including fine-tuning, MCP, and preference optimization. This presents an exceptional opportunity to shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist II, Sponsored Products and Brands-Agent at Amazon.com Services LLC. Skills: Machine Learning, Data Science, Algorithm Development. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-14T19:32:21.240", "createdAt" : "2026-06-14T19:32:21.240", "lastUpdated" : "2026-06-16T07:55:25.162", "ingestTimestamp" : "2026-06-14T19:32:21.240", "mongoId" : "69fe94ff4c40e2acd11219c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "salaryAnnualMin" : 172400, "salaryAnnualMax" : 223400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation", "Machine Learning", "Data Science", "Algorithm Development", "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design", "Sponsored Products", "Brands", "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "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. Develop effective machine learning models", "postedDate" : "2026-06-13T14:14:51.888", "createdAt" : "2026-06-13T14:14:51.888", "lastUpdated" : "2026-06-15T04:30:12.071", "ingestTimestamp" : "2026-06-13T14:14:51.888", "mongoId" : "68e0a7e4ce260f92cbf8ebea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099511/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "Generative AI", "LLM", "Machine learning engineering", "LLM inference infrastructure", "GenAI workloads", "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176d374d8ee00a0c1af71", "title" : "Selling Partner Associate (English and Italian)", "company" : "Amazon Ireland Support Services Limited", "industry" : "Administrative Support, Seller Support Operations, amazon customer service", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level compensation for a Selling Partner Associate in the E-commerce industry in Ireland, adjusted for remote work." }, "location" : "IRL", "locations" : [ "IRL" ], "timestamp" : "2026-06-15T02:34:01.765", "fingerprint" : "9d6c1a6079885aaa2d405ffcda2747ad072eecf3d2d06b94fdde09790f68c696", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438395/apply", "externalId" : "407231da-026a-4ae7-958e-bf3a3609e379", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "technicalSkills" : "Windows, Microsoft Word, Outlook, Excel", "professionalSkills" : [ "Customer service", "Process improvement", "Customer care" ], "hardSkillsList" : [ "Product guidance", "Procedural instructions" ], "softSkillsList" : [ "Empathy", "Passion" ], "hardSkills" : [ { "name" : "Product guidance", "level" : "intermediate" }, { "name" : "Procedural instructions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Empathy" }, { "name" : "Passion" } ], "majorSkills" : "Customer support, Issue resolution", "majorSkillsList" : [ "Customer support", "Issue resolution" ], "coreResponsibilities" : "Support Selling Partners to solve issues, Manage inbound calls, Manage outbound calls, Manage emails, Manage chats, Identify customer needs, Clarify information, Research every issue, Provide solutions, Display empathy, Deliver exceptional customer care, Build sustainable relationships, Engage customers, Oversee productivity targets, Oversee quality targets, Collaborate with internal stakeholders, Collaborate with teams, Document Selling Partner interactions, Troubleshoot product issues, Provide product guidance, Attend training sessions, Learn product details, Learn selling points", "teamCollaboration" : "Collaborating with team members remotely", "domainKnowledge" : "Amazon marketplace platform; Amazon's technology platforms; Amazon's business policies; Amazon's operational processes", "domainList" : [ "amazon-marketplace-platform", "amazon-s-technology-platforms", "amazon-s-business-policies", "amazon-s-operational-processes" ], "domainSpecificKnowledge" : [ "Amazon marketplace platform", "Amazon's technology platforms", "Amazon's business policies", "Amazon's operational processes" ], "toolProficiency" : [ "Online communication tools", "Collaboration tools" ], "communicationSkills" : "Customer-friendly responses; Verbal communication; Written communication", "documentationSkills" : "Document interactions", "continuousLearning" : "Attend regular training sessions; Learn product details; Learn selling points", "innovationCreativity" : "Process improvement", "problemSolvingSkills" : "Troubleshoot; Research; Provide solutions", "specialRequirements" : "High speed internet required, Suitable home office environment required", "outcomesObjectives" : "Achieve productivity targets; Achieve quality targets", "qualificationsBasic" : "Experience in Customer Service, Proficiency in English (C1/C2), Proficiency in Italian (C1/C2), Intermediate Windows competency, Intermediate Microsoft Word competency, Intermediate Outlook competency, Intermediate Excel competency, Able to use online communication tools", "qualificationsPreferred" : "Excellent verbal communication skills, Excellent written communication skills, Prior contact centre experience, Comfortable working in fast-paced environment, Flexibility to adapt to change, Ability to deliver performance in metric-driven environment, Maintain a customer focus, Foster positive team environment, Ability to multitask across channels, Clear verbal communication skills, Clear written communication skills, Confidence in providing live telephone support, Ability to troubleshoot, Ability to research, Ability to translate instructions, Eager to learn new skills, Sense of urgency, Adaptability to changing business needs, Ability to identify process improvements, Ability to drive process improvements", "remoteFriendly" : false, "workSiteFlexibility" : "Remote", "rawDescription" : "SHIFT REQUIREMENTS: Rotating shifts Sunday - Saturday, ranging from 7 AM to 10 PM depending on role. WORK LOCATION: This is a virtual home based role. Permanently working from home from any province in Ireland. START DATE: August 2026 In Selling Partner Support, we help third party Sellers & Vendors sell their products through our Amazon marketplace platform. We interact with Sellers and Vendors from across the world via phone, email and chat in a contact center environment where we answer their questions and resolve their issues regarding Amazon’s technology platforms, business policies, and operational processes. Our Associates serve as the first contact point between Sellers/Vendors and Amazon, and we seek to always respond with complete, accurate and customer-friendly responses. We are ‘Customer Obsessed’ and strive for the perfect customer interaction every time. Our Associates must regularly multi-task utilizing a wide variety of software tools to navigate various Selling Partner Accounts, research and review policies and communicate effective solutions. The successful candidate will have a commitment to delivering outstanding customer service, a strong record of customer focus, and a keen interest in process improvement. You will join one of our home-based teams, and still be part of the Amazon culture by collaborating with team members remotely via video, and engaging in a range of virtual engagement activities. The team's schedule is organized in shifts and weekends to accommodate Amazon´s opening hours 7 days a week. Please note, the shifts cannot be confirmed prior to joining Amazon as they are not determined until after the training period, therefore flexibility is required. Time off and holidays are not allowed during the whole training duration. Key job responsibilities As part of your role, you will have the opportunity to: Support Amazon's Selling Partner’s to solve any incoming issues via 3 channels of communication (Phone, Email & Chat). Manage high volumes of inbound and outbound calls, emails and chats in a timely manner. Identify customers’ needs, clarify information, research every issue and providing solutions. Exemplify Amazons Leadership Principle for Customer Obsession by consistently displaying a genuine empathy and passion for our customers, delivering an exceptional customer care experience with every contact. Build sustainable relationships and engaging customers by going the extra mile. Oversee and achieve various productivity and quality targets and metrics. Collaborate with various internal stakeholders and teams. Document all Selling Partner interactions and information according to standard operating procedures. Troubleshoot and provide product guidance and support to all Amazons Sellers and Vendors. Attend regular training sessions, learn product details and key selling points of products and technologies. Any other duties and special projects as directed by management in keeping with the employee’s skills and experience About the team Join our Amazon Family in Ireland! • New hires become a member of a diverse, multicultural and global team. Join one of our many Amazon community & Affinity groups to further experience Amazon’s inclusive, collaborative culture. • Amazon takes pride in growing talent and leadership from within and offers multiple career paths. • Private Healthcare Plan • Prior to employment start, must have high speed internet with up to 5Mb download and 1Mb upload speed and a suitable home office work environment compliance with Amazon’s virtual contact canter policy. Basic Qualifications: - Experience in Customer Service - Proficiency (C1/C2 level) in English and in the second language outlined in the title of this job advertisement. - Technical Skills: Intermediate competency with Windows, Microsoft Word, Outlook and Excel. Able to use online communication and collaboration tools with ease Preferred Qualifications: - Excellent verbal and written communication skills, with the ability to inspire confidence while guiding customers through issue resolution via phone and email - Strong listening skills with a demonstrated ability to show empathy and a genuine willingness to help - Prior contact centre experience - Comfortable working in a fast-paced, high-volume environment with the flexibility to adapt to change effectively - Ability to deliver strong performance in a metric-driven environment with high productivity and quality standards - Maintain a strong customer focus, ensuring every customer feels supported and valued - Foster a positive and cooperative team environment at all times - Ability to multitask across phone, chat, and email channels simultaneously - Clear and professional verbal and written communication skills, with confidence in providing live telephone support in English and other languages defined for the role - Ability to troubleshoot, research, and translate technical or procedural instructions into clear, customer-friendly guidance - Enthusiastic, highly self-motivated, and eager to learn new skills - Strong sense of urgency and adaptability in response to changing business needs - Ability to identify and drive process improvements Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Selling Partner Associate (English and Italian) at Amazon Ireland Support Services Limited. Skills: Customer support, Issue resolution. Support Selling Partners to solve issues. Manage inbound calls", "postedDate" : "2026-06-13T03:23:07.683", "createdAt" : "2026-06-13T03:23:07.683", "lastUpdated" : "2026-06-15T02:34:01.765", "ingestTimestamp" : "2026-06-13T03:23:07.683", "mongoId" : "6a2176d374d8ee00a0c1af71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438395/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Product guidance", "Procedural instructions", "Empathy", "Passion", "Customer support", "Issue resolution", "Customer service", "Process improvement", "Customer care", "Amazon marketplace platform", "Amazon's technology platforms", "Amazon's business policies", "Amazon's operational processes", "Online communication tools", "Collaboration tools" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c937a74d8ee00a09882aa", "title" : "Senior Director, Insurance Product Development and Execution", "company" : "Oscar Health", "industry" : "Insurance", "salary" : { "min" : 178848.0, "max" : 260820.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T04:50:36.358", "fingerprint" : "eca13029aad1e86610b93a350c55d3586efd61e826cf3cc4842ac7642363a3bd", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.hioscar.com/careers/7980744?gh_jid=7980744", "externalId" : "7980744", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Product strategy", "Product development", "Portfolio management", "Benefit design", "Go-to-market plans", "Sales enablement", "Process scalability", "Operational thoughtfulness", "Process consistency" ], "hardSkillsList" : [ "Regulatory filing", "Product execution", "Filing program", "Benefit design strategy", "Portfolio performance", "Multi-state filing", "Process leadership", "Quality controls", "Execution risks", "Data inconsistencies", "Performance expectations" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regulatory filing", "level" : "intermediate" }, { "name" : "Product execution", "level" : "intermediate" }, { "name" : "Filing program", "level" : "intermediate" }, { "name" : "Benefit design strategy", "level" : "intermediate" }, { "name" : "Portfolio performance", "level" : "intermediate" }, { "name" : "Multi-state filing", "level" : "intermediate" }, { "name" : "Process leadership", "level" : "intermediate" }, { "name" : "Quality controls", "level" : "intermediate" }, { "name" : "Execution risks", "level" : "intermediate" }, { "name" : "Data inconsistencies", "level" : "intermediate" }, { "name" : "Performance expectations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Insurance product development, Product strategy, Regulatory filings, ACA QHP markets", "majorSkillsList" : [ "Insurance product development", "Product strategy", "Regulatory filings", "ACA QHP markets" ], "coreResponsibilities" : "Lead product strategy, Manage portfolio decisions, Align product portfolio strategy, Develop positioning, Develop go-to-market plans, Develop sales enablement tools, Ensure product launches, Ensure implementation readiness, Lead filing program, Oversee development and submission, Ensure accuracy, compliance, and consistency, Promote coordination to meet deadlines, Establish operating rhythms, Build scalable processes, Promote standardization, Promote quality controls, Promote continuous improvement, Resolve execution risks, Resolve data inconsistencies, Resolve process gaps, Implement structured reporting, Partner to achieve growth, Promote agreement on product design, Support executive decision-making, Lead a team, Establish clear roles, Establish accountability, Establish performance expectations, Promote a culture of ownership", "teamCollaboration" : "Cross-functional collaboration; Partner with actuarial; Partner with network; Partner with market leadership; Partner with clinical; Partner with compliance; Partner with operations; Coordinate with leadership; Coordinate with SIO; Team of directors; Team of senior managers; Team of managers", "projectManagementSkills" : [ "Product portfolio strategy", "Multi-state filing program", "Product development lifecycle", "Filing lifecycle" ], "domainKnowledge" : "ACA individual; Small group health plan; QHP markets; Health insurance; Regulatory documentation; PBTs; SBCs", "domainList" : [ "aca-individual", "small-group-health-plan", "qhp-markets", "health-insurance", "regulatory-documentation", "pbts", "sbcs" ], "domainSpecificKnowledge" : [ "ACA individual", "Small group health plan", "QHP markets", "Health insurance", "Regulatory documentation", "PBTs", "SBCs" ], "communicationSkills" : "Executive decision-making", "documentationSkills" : "Regulatory documentation; PBTs; SBCs", "problemSolvingSkills" : "Resolve execution risks; Resolve data inconsistencies; Resolve process gaps", "specialRequirements" : "Travel up to 25%", "outcomesObjectives" : "Achieve growth; High-quality outcomes", "qualificationsBasic" : "Bachelor's degree, 12+ years experience in health insurance, 12+ years product strategy, 12+ years insurance product development, 6+ years people leadership, Experience leading regulatory filings, Experience leading complex programs", "qualificationsPreferred" : "Master's degree, Experience managing National ACA product porves", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hi, we're Oscar. We're hiring a Senior Director, Insurance Product Development and Execution to join our Insurance Product Development team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Director, Product Development & Execution leads the execution of ACA individual and small group health plan products, with accountability over the product-specific deliverables associated with the regulatory filing lifecycle. You will manage end-to-end product portfolio performance, spanning benefit design, filings, and go-to-market readiness. It also includes post-launch optimization, while operating a disciplined, multi-state filing program. The Senior Director, leads a multi-level team of product directors, senior managers, and managers, partnering to deliver compliant and scalable products. You combine product strategy with operational thoughtfulness, ensuring execution, process scalability, and high-quality outcomes across multiple markets. You will report into the Vice President, Insurance Product Innovation and Development. Work Location: This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, or Virginia. Note, this list of states is subject to change. #LI-Remote Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $198,720- $260,820 per year. The base pay for this role in all other locations is:: $178,848- $234,738 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program company equity grants and annual performance bonuses. Responsibilities: Product Portfolio Strategy Leadership Define and lead ACA Individual (QHP) benefit design strategy and portfolio roadmap across Oscar's operating geography Manage portfolio decisions (introduce, enhance, fix, and sunset) based on performance, competitive dynamics, and member needs Align product portfolio strategy with enterprise goals for growth, retention, and margin generation Partner to develop positioning, go-to-market plans, and sales enablement tools Ensure product launches and implementation readiness Regulatory FIlings & Execution Leadership Lead the end-to-end ACA filing program, including product specific deliverable execution across Oscar's operating geographies Oversee development and submission of PBT's, SBC's and all other required regulatory documentation Ensure accuracy, compliance, and consistency across all filings and supporting artifacts (e.g., plan counts by state, internal system AV agreement) Promote coordination to meet critical filing deadlines under leadership and SIO guidance Operational Excellence & Process Leadership Establish and enforce disciplined operating rhythms across product development and filing cycles Build scalable processes and workflows to support multi state execution Promote standardization, quality controls, and continuous improvement across filings and product operations Resolve execution risks, data inconsistencies, and process gaps Implement structured reporting to track progress, risks, and performance People Leadership & Cross-Functional Development Partner with actuarial, network, market leadership, clinical, compliance, and operations to achieve growth in a regulated environment Promote agreement on product design decisions, trade-offs, and execution priorities by market Support executive decision-making through clear and structured insights Lead a team of directors, senior managers, and managers Establish clear roles, accountability, and performance expectations across the department Promote a culture of ownership aligned with process consistency, operational excellence, and continuous improvement Compliance with all applicable laws and regulations Other duties as assigned Requirements: Bachelor's degree. 12+ years experience in health insurance, product strategy (ACA, QHP focused), and insurance product development 6+ years people leadership experience managing multi-level teams Expertise in ACA individual and small group QHP markets Experience leading regulatory filings across multiple markets (PBT, SBC, and other documentation) Willingness to operate in a structured, process-driven environment, driving execution at scale Experience leading complex programs Willingness to travel up to 25% of the time. Bonus points: Master's degree. Experience managing National ACA product portfolios Familiarity in managing third-party vendor relationships and other external partners Experience in go-to-market strategy and product positioning This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.", "summaryDescription" : "Senior Director, Insurance Product Development and Execution at Oscar Health. Skills: Insurance product development, Product strategy, Regulatory filings, ACA QHP markets. Lead product strategy. Manage portfolio decisions", "postedDate" : "2026-06-14T03:28:36.923", "createdAt" : "2026-06-14T03:28:36.923", "lastUpdated" : "2026-06-15T04:50:36.358", "ingestTimestamp" : "2026-06-14T03:28:36.923", "mongoId" : "6a2c937a74d8ee00a09882aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 178848, "salaryAnnualMax" : 260820, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regulatory filing", "Product execution", "Filing program", "Benefit design strategy", "Portfolio performance", "Multi-state filing", "Process leadership", "Quality controls", "Execution risks", "Data inconsistencies", "Performance expectations", "Leadership", "Insurance product development", "Product strategy", "Regulatory filings", "ACA QHP markets", "Product development", "Portfolio management", "Benefit design", "Go-to-market plans", "Sales enablement", "Process scalability", "Operational thoughtfulness", "Process consistency", "Product portfolio strategy", "Multi-state filing program", "Product development lifecycle", "Filing lifecycle", "ACA individual", "Small group health plan", "QHP markets", "Health insurance", "Regulatory documentation", "PBTs", "SBCs" ], "skillCount" : 35, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4962beec4dd3d931913", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:12:32.742", "fingerprint" : "2813b7088bf9ddc16d6ae80d87886ea77ec3e51c99e1e27ea13f6612f026c856", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385329/apply", "externalId" : "c8e636df-eba0-4a67-be18-2f67f6c85473", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Java, C++, Python, Deep learning, Machine learning, Computer vision, GenAI, Large language models", "professionalSkills" : [ "Applied research", "Science roadmap", "Product strategy", "Business impact" ], "hardSkillsList" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement" ], "hardSkills" : [ { "name" : "Prompt generation", "level" : "intermediate" }, { "name" : "Quality frameworks", "level" : "intermediate" }, { "name" : "Coverage expansion", "level" : "intermediate" }, { "name" : "Prompt effectiveness", "level" : "intermediate" }, { "name" : "CTR improvement", "level" : "intermediate" }, { "name" : "Helpfulness improvement", "level" : "intermediate" } ], "majorSkills" : "NLP, LLMs, Information Retrieval, Applied Science Management", "majorSkillsList" : [ "NLP", "LLMs", "Information Retrieval", "Applied Science Management" ], "coreResponsibilities" : "Lead team of scientists and engineers, Build and scale prompt generation pipeline, Develop new prompt themes, Develop quality frameworks, Drive coverage expansion, Own science roadmap, Define metrics for prompt effectiveness, Drive experimentation to improve CTR, Drive experimentation to improve helpfulness, Drive experimentation to improve advertiser outcomes, Manage and grow science team, Set research direction, Influence product strategy, Translate science investments into business impact", "teamCollaboration" : "Across organizational boundaries; With engineering teams; With product teams; With business teams", "domainKnowledge" : "Conversational Discovery Experiences; Sponsored Prompts; Large language models", "domainList" : [ "conversational-discovery-experiences", "sponsored-prompts", "large-language-models" ], "domainSpecificKnowledge" : [ "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "innovationCreativity" : "Re-imagining advertising landscape; Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with AI; Transforming advertising lifecycle; Developing responsible AI technologies", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve CTR; Improve helpfulness; Improve advertiser outcomes", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, Master's degree and 6+ years research, Knowledge of ML, NLP, IR, Programming in Java, C++, Python", "qualificationsPreferred" : "Experience building complex software systems, Experience with deep learning, Experience with machine learning, Experience with computer vision, Experience with Data & AI technologies, Experience with GenAI, Experience with Analytics, Experience with Database, Experience with Storage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities We are looking for an Applied Science Manager to lead the Insights & Prompt Generation vertical within the Conversational Discovery Experiences (CAX) team in Sponsored Products and Brands (SPB). This team owns prompt generation, quality, personalization, and coverage for Sponsored Prompts, a new conversational ad format powered by large language models (LLMs) that helps shoppers discover products across Amazon.com. As an Applied Science Manager, you will lead a team of applied scientists and engineers to build and scale the prompt generation pipeline, develop new prompt themes and quality frameworks, and drive coverage expansion across all surfaces. You will own the science roadmap for prompt generation and personalization. You will define the metrics that measure prompt effectiveness and drive experimentation to improve CTR, helpfulness, and advertiser outcomes. This role requires strong technical depth in NLP, LLMs, and information retrieval, combined with the ability to manage and grow a science team, set research direction, and influence product strategy. You will work across organizational boundaries with engineering, product, and business teams to translate science investments into measurable business impact. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: NLP, LLMs, Information Retrieval, Applied Science Management. Lead team of scientists and engineers. Build and scale prompt generation pipeline", "postedDate" : "2026-06-13T17:16:57.553", "createdAt" : "2026-06-13T17:16:57.553", "lastUpdated" : "2026-06-15T02:12:32.742", "ingestTimestamp" : "2026-06-13T17:16:57.553", "mongoId" : "69d5e4962beec4dd3d931913", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385329/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement", "NLP", "LLMs", "Information Retrieval", "Applied Science Management", "Applied research", "Science roadmap", "Product strategy", "Business impact", "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1d870f0b99d58d66a93", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for mid-seniority Software Development Engineers in Toronto, Canada, adjusted for company size and industry." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T06:23:06.930", "fingerprint" : "fe1b236160a4f76ce35542d2eca49e648160786e388346a96fb051be61c924b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103281/apply", "externalId" : "f1f50995-8241-4a95-aa1d-c54ae42ef0d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Distributed systems", "Conversational AI", "Natural language interactions" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Advertising technology", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Advertising technology" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize operation costs, Utilize resources efficiently, Consume tokens efficiently, Minimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of business connection, Create scalable systems, Process millions data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Design scalable APIs, Maintain scalable APIs, Orchestrate agent connections, Build agent-to-agent protocols, Manage agent state, Deliver streaming pipelines, Deliver event-driven pipelines, Support real-time customizations, Integrate with 1P experiences, Build infrastructure governance, Expose systems safely, Empower partners to create experiences, Provide personalized insights, Provide guidance, Account for advertiser catalog, Account for performance metrics, Tailor full page experience, Update individual widgets, Provide interactive automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf, Optimize AI for Sales pitches", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "domainKnowledge" : "Generative AI; Large Language Models; Advertising ecosystem; Agentic systems; AI governance; AI safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-ecosystem", "agentic-systems", "ai-governance", "ai-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "innovationCreativity" : "Pioneer new approaches; Creative problem-solver", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure experiences; Drive business impact", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in Computer Science, Shipped Gen AI features at scale, Deep understanding AI trust safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Advertising technology. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T16:50:06.324", "createdAt" : "2026-06-13T16:50:06.324", "lastUpdated" : "2026-06-15T06:23:06.930", "ingestTimestamp" : "2026-06-13T16:50:06.324", "mongoId" : "68e6b1d870f0b99d58d66a93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103281/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Conversational AI", "Natural language interactions", "Generative AI", "Large Language Models", "Advertising technology", "System design", "Architecture", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "68e6b1d770f0b99d58d66963", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125500.0, "max" : 188000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Software Development Engineer roles in Toronto, Canada, adjusted for mid-level seniority and a large technology company." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T05:51:39.895", "fingerprint" : "7a15fe5570e358c4a6ce464d28955418041448da7628043b06474a6a1ac739fa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103803/apply", "externalId" : "e3d060d1-4919-4aa5-ba15-d3f10fdd163b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Agentic service platform", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Agentic experiences", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Agentic experiences" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of advertising, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect next-generation AI platform, Build foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain orchestration layers, Build durable communication protocols, Manage agent state frameworks, Deliver streaming pipelines, Support real-time customizations, Own infrastructure governance layers, Expose systems safely, Empower partners to create experiences, Extend platform to external developers, Invest in observability platforms", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "projectManagementSkills" : [ "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations" ], "domainKnowledge" : "Generative AI; Large Language Models; Advertising landscape; AI technologies; Agentic experiences; Distributed systems; Cloud technologies; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-landscape", "ai-technologies", "agentic-experiences", "distributed-systems", "cloud-technologies", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising landscape", "AI technologies", "Agentic experiences", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative problem-solver; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, Experience programming one language, 3+ years full SDLC experience", "qualificationsPreferred" : "Shipped Gen AI features at scale, Deep understanding AI trust/safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Agentic experiences. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T15:59:07.813", "createdAt" : "2026-06-13T15:59:07.813", "lastUpdated" : "2026-06-15T05:51:39.895", "ingestTimestamp" : "2026-06-13T15:59:07.813", "mongoId" : "68e6b1d770f0b99d58d66963", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103803/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Agentic experiences", "System design", "Architecture", "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations", "Advertising landscape", "AI technologies", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7ab774d8ee00a0946858", "title" : "Insurance Transformation Consultant - General Insurance, London Markets and Life & Pensions", "company" : "Baringa", "industry" : "Consulting", "salary" : { "min" : 70000.0, "max" : 100000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Insurance Transformation Consultant in London, UK, adjusted for the consulting industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T11:39:27.233", "fingerprint" : "9baf0f516f914ecd111f2bba8489ed5e04429ef5f194d259aaf9cdc8a833e640", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/baringa/jobs/4692154101", "externalId" : "4692154101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "technicalSkills" : "Digital, Data, Technology", "professionalSkills" : [ "Strategic advisory", "Business change delivery", "Technical change delivery", "Programme management", "Business case development" ], "hardSkillsList" : [ "Requirement gathering", "Business stakeholder management" ], "hardSkills" : [ { "name" : "Requirement gathering", "level" : "intermediate" }, { "name" : "Business stakeholder management", "level" : "intermediate" } ], "majorSkills" : "Insurance Transformation, Technology Challenges, Digital Transformation, Data Solutions", "majorSkillsList" : [ "Insurance Transformation", "Technology Challenges", "Digital Transformation", "Data Solutions" ], "coreResponsibilities" : "Design solutions, Deliver solutions, Help Insurers with transformation, Replace legacy technology applications, Define data strategy, Deliver data solutions, Design digital customer front ends, Transform customer front ends, Lead Programme Scrum teams, Manage delivery of workstreams, Raise risks to delivery, Gather client requirements, Prioritise backlogs, Support business case development, Present to senior stakeholders", "teamCollaboration" : "Leading Insurers and Distributors; Multi-vendor environment; Multi-stakeholder environment; Client teams", "projectManagementSkills" : [ "Agile", "Waterfall", "Bi-modal" ], "domainKnowledge" : "General Insurance; London Markets; Life & Pensions; Underwriting; Claims; Pricing; Finance; Shared Services; InsurTech", "domainList" : [ "general-insurance", "london-markets", "life-pensions", "underwriting", "claims", "pricing", "finance", "shared-services", "insurtech" ], "domainSpecificKnowledge" : [ "General Insurance", "London Markets", "Life & Pensions", "Underwriting", "Claims", "Pricing", "Finance", "Shared Services", "InsurTech" ], "communicationSkills" : "Presenting skills", "innovationCreativity" : "Innovative solutions", "qualificationsBasic" : "Experience on large transformation, Experience on technology application upgrade, Insurance/Life & Pensions experience, Business Analyst skills, Requirement gathering experience, General Insurance/London Markets/Life & Pensions business operation understanding, Project and programme delivery methodologies experience, Business engagement experience, Business stakeholder management experience, Multi-vendor environment experience, Multi-stakeholder environment experience", "qualificationsPreferred" : "Knowledge of technology landscape, Knowledge of COTS policy platforms, Knowledge of claims platforms, Knowledge of InsurTech players, Desire to learn Digital, Data and Technology Agenda, Interest in building capabilities, Interest in thought leadership, Interest in offerings development", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Insurance practice are looking for an experienced Consultants to join the team. Our Insurance practice works with the leading Insurers and Distributors across strategic advisory projects right through to business and technical change delivery. We are at the cutting edge of the industry and the wider ecosystem, helping our clients improve their profitability, navigate regulatory change and implement new technology solutions. What you will be doing Work with leading Insurers and Distributors to design and deliver innovative solutions to their most critical technology challenges across Digital, Data and Technology Helping Insurers with large transformation including legacy technology application replacement across Underwriting, Claims, Pricing, Finance and other Shared Services Data strategy definition and delivery of data solutions Digital and customer front end design and transformation Leading Programme Scrum teams efficiently managing delivery of workstreams and raising risks to delivery within larger transformation programmes Gathering client requirements and prioritisation of backlogs to deliver best returns for clients Supporting business case development and presenting back to senior client stakeholders Your skills and experience Experience of working on a minimum of one large scale transformation or technology application upgrade within Insurance/Life & Pensions with a track record of delivering change Knowledge of the technology landscape including the main COTS policy and claims platforms alongside InsurTech players relevant to the industry Strong Business Analyst skills with experience of requirement gathering using different methodologies A desire to learn and grow own skills in supporting Insurers to deliver their Digital, Data and Technology Agenda Strong understanding of how General Insurance/London Markets/Life & Pensions businesses operate and the key processes within them Strong communication and presenting skills An interest in helping to build and develop our capabilities, thought leadership and offerings Proven experience of project and programme delivery methodologies (Agile, Waterfall, Bi-modal etc) Proven experience in business engagement and business stakeholder management Experience of working in a multi-vendor and multi stakeholder environment What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. An award-winning workplace You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we’ve achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. Baringa Privacy Notices For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at privacy@baringa.com For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact privacy@baringa.com For Australia & Singapore Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at privacy@baringa.com", "summaryDescription" : "Insurance Transformation Consultant - General Insurance, London Markets and Life & Pensions at Baringa. Skills: Insurance Transformation, Technology Challenges, Digital Transformation, Data Solutions. Design solutions. Deliver solutions", "postedDate" : "2026-06-14T03:36:14.474", "createdAt" : "2026-06-14T03:36:14.474", "lastUpdated" : "2026-06-15T11:39:27.233", "ingestTimestamp" : "2026-06-14T03:36:14.474", "mongoId" : "6a2c7ab774d8ee00a0946858", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Requirement gathering", "Business stakeholder management", "Insurance Transformation", "Technology Challenges", "Digital Transformation", "Data Solutions", "Strategic advisory", "Business change delivery", "Technical change delivery", "Programme management", "Business case development", "Agile", "Waterfall", "Bi-modal", "General Insurance", "London Markets", "Life & Pensions", "Underwriting", "Claims", "Pricing", "Finance", "Shared Services", "InsurTech" ], "skillCount" : 23, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "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" : "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" : "6a2c937a74d8ee00a09882bc", "title" : "Senior Manager, Insurance Product and Benefit Design", "company" : "Oscar Health", "industry" : "Insurance", "salary" : { "min" : 134136.0, "max" : 195615.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T07:43:47.750", "fingerprint" : "d5ec792c50c8e2f9392db4661cc00fdd1de87b1d073869596a6e93a298ab5bfe", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.hioscar.com/careers/7974623?gh_jid=7974623", "externalId" : "7974623", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Market strategy translation", "Product lifecycle management", "Process optimization", "Continuous improvement", "Market analysis", "Competitive analysis", "Regulatory analysis" ], "hardSkillsList" : [ "Benefit structures", "Cost-sharing structures", "Metal towers", "EHB", "PBT", "SBC", "Filing processes", "QA reviews" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Benefit structures", "level" : "intermediate" }, { "name" : "Cost-sharing structures", "level" : "intermediate" }, { "name" : "Metal towers", "level" : "intermediate" }, { "name" : "EHB", "level" : "intermediate" }, { "name" : "PBT", "level" : "intermediate" }, { "name" : "SBC", "level" : "intermediate" }, { "name" : "Filing processes", "level" : "intermediate" }, { "name" : "QA reviews", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Insurance product design, Benefit design, Regulatory filing, Product performance", "majorSkillsList" : [ "Insurance product design", "Benefit design", "Regulatory filing", "Product performance" ], "coreResponsibilities" : "Manage end-to-end plan design, Translate market strategy, Lead product lifecycle, Be product owner, Promote agreement, Establish operating rhythms, Promote process optimization, Lead continuous improvement, Partner ensure seamless execution, Evaluate program success, Balance standardized plan design, Identify risks, Lead resolution design issues, Lead QA reviews, Interpret market analysis, Conduct competitive analysis, Conduct regulatory analysis, Mentor junior team members, Support development team capabilities", "teamCollaboration" : "Actuarial teams; Regulatory teams; Compliance teams; Network teams; Operational teams", "projectManagementSkills" : [ "Roadmap", "User stories" ], "domainKnowledge" : "Health insurance; ACA plan design; QHP benefit design; Cost-sharing structures; Metal towers; EHB; Regulatory requirements; Product performance; Filing cycles; Market-specific variations; Provider experience; Member experience", "domainList" : [ "health-insurance", "aca-plan-design", "qhp-benefit-design", "cost-sharing-structures", "metal-towers", "ehb", "regulatory-requirements", "product-performance", "filing-cycles", "market-specific-variations", "provider-experience", "member-experience" ], "domainSpecificKnowledge" : [ "Health insurance", "ACA plan design", "QHP benefit design", "Cost-sharing structures", "Metal towers", "EHB", "Regulatory requirements", "Product performance", "Filing cycles", "Market-specific variations", "Provider experience", "Member experience" ], "documentationSkills" : "PBT; SBC", "problemSolvingSkills" : "Design execution issues", "specialRequirements" : "25% travel", "outcomesObjectives" : "Ensure high-quality products; Ensure compliant products; End-to-end product performance; Meet timelines; Meet dependencies; Meet deliverables; Improve scalability; Reduce defects; Enhance speed to market; Implement sustainable solutions; Ensure compliant plan designs", "qualificationsBasic" : "Bachelor's degree in business, 6+ years health insurance product, ACA / QHP benefit design, Direct ownership health plan design, Knowledge of ACA plan design, Experience leading regulatory filing, Operations experience regimented processes, Experience operating complex organizations", "qualificationsPreferred" : "Experience defining standardized ACA plan design frameworks, Familiarity product configuration systems, Experience AV calculator strategies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hi, we're Oscar. We're hiring a Senior Manager, Insurance Product and Benefit Design to join our Insurance Product Development team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Manager, Insurance Product and Benefit Design owns the development of insurance plan designs across assigned markets. You will translate market strategy into applicable benefit structures, leading agreement, and ensuring high-quality, compliant products. You will balance scalable design frameworks with market-specific differentiation and be responsible for end-to-end product performance from design through post-launch optimization. You will require operational leadership, including driving regimented processes, optimizing workflows for scale, and ensuring high-quality execution across complex filing and implementation cycles. You will report into the Vice President, Insurance Product Innovation and Development. Work Location: This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, or Virginia. Note, this list of states is subject to change. #LI-Remote Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $149,040- $195,615 per year. The base pay for this role in all other locations is:: $134,136- $176,053 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Manage end-to-end plan design across assigned geographies, including benefits, cost-sharing, and network considerations Translate market strategy, performance insights, and regulatory requirements into clear design decisions Lead the product lifecycle from design through filing, implementation, and post-launch performance Be the product owner for design within the regulatory filing process, ensuring accuracy across PBT's, SBC's and internal systems Promote agreement on actuarial, regulatory, compliance, network, and operational teams Establish and enforce disciplined operating rhythms across design and filing cycles, ensuring you meet timelines, dependencies, and deliverables. Promote process optimization and standardization across markets to improve scalability, reduce defects, and enhance speed to market Lead continuous improvement efforts across product design and filing workflows, identifying inefficiencies and implementing sustainable solutions Partner to ensure seamless execution from design through regulatory filing submission, approval, and objection monitoring Evaluate program success against financial, operational, and provider/member experience goals Balance standardized plan design frameworks with targeted market-specific variations to maintain competitiveness Identify risks and lead resolution of complex design and execution issues Lead QA and go-to-market readiness reviews to ensure, compliant plan designs Interpret and conduct market, competitive, and regulatory analysis to inform strategy and positioning Mentor junior team members and support development of team capabilities Compliance with all applicable laws and regulations Other duties as assigned Requirements: Bachelor's degree in business, healthcare, economics, finance, or related field 6+ years of experience in health insurance product and ACA / QHP benefit design with direct ownership over health plan design decisions Knowledge of ACA plan design, including cost-sharing structures, metal towers, EHB and regulatory requirements Experience leading regulatory filing processes, including PBT, SBC, and related documentation Operations experience following regimented processes associated with product development and regulatory filing processes, including ability to recommend process improvements for scale and optimization Experience operating in complex, matrixed organizations Willingness to travel up to 25% of the time. Bonus points: Experience defining or managing standardized ACA plan design frameworks across multiple markets Familiarity with product configuration systems and downstream filing processes Experience with AV calculator strategies and benefit design trade-off analysis Exposure to portfolio management and lifecycle optimization Experience with SQL or advanced analytics tools Prior experience in ACA IFP plans This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.", "summaryDescription" : "Senior Manager, Insurance Product and Benefit Design at Oscar Health. Skills: Insurance product design, Benefit design, Regulatory filing, Product performance. Manage end-to-end plan design. Translate market strategy", "postedDate" : "2026-06-13T21:29:21.145", "createdAt" : "2026-06-13T21:29:21.145", "lastUpdated" : "2026-06-15T07:43:47.750", "ingestTimestamp" : "2026-06-13T21:29:21.145", "mongoId" : "6a2c937a74d8ee00a09882bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 134136, "salaryAnnualMax" : 195615, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Benefit structures", "Cost-sharing structures", "Metal towers", "EHB", "PBT", "SBC", "Filing processes", "QA reviews", "Leadership", "Mentoring", "Insurance product design", "Benefit design", "Regulatory filing", "Product performance", "Market strategy translation", "Product lifecycle management", "Process optimization", "Continuous improvement", "Market analysis", "Competitive analysis", "Regulatory analysis", "Roadmap", "User stories", "Health insurance", "ACA plan design", "QHP benefit design", "Regulatory requirements", "Filing cycles", "Market-specific variations", "Provider experience", "Member experience" ], "skillCount" : 31, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "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" : "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" : "6a2c952e74d8ee00a098c7ac", "title" : "Entry-Level Insurance and Revenue Cycle Analyst", "company" : "Ally Behavior Centers", "industry" : "Healthcare", "salary" : { "min" : 50000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, Virginia, USA", "locations" : [ "McLean", "Virginia", "USA" ], "timestamp" : "2026-06-15T07:17:46.741", "fingerprint" : "eb68cbef618e6b6a273c74f1e5699ac2c7685447104a5ab09e70ad06378b7fb6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allybehaviorcenters/jobs/4115256009", "externalId" : "4115256009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Revenue cycle management", "Insurance billing", "Accounts receivables", "Payment reconciliation", "Claim follow-up" ], "hardSkillsList" : [ "Medical benefits verification", "Eligibility verification", "Pre-authorization submission", "Credentialing application submission", "Payment posting", "Claim billing", "Patient responsibility billing" ], "softSkillsList" : [ "Organization", "Diligence", "Problem solving", "Compassion" ], "hardSkills" : [ { "name" : "Medical benefits verification", "level" : "intermediate" }, { "name" : "Eligibility verification", "level" : "intermediate" }, { "name" : "Pre-authorization submission", "level" : "intermediate" }, { "name" : "Credentialing application submission", "level" : "intermediate" }, { "name" : "Payment posting", "level" : "intermediate" }, { "name" : "Claim billing", "level" : "intermediate" }, { "name" : "Patient responsibility billing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organization" }, { "name" : "Diligence" }, { "name" : "Problem solving" }, { "name" : "Compassion" } ], "majorSkills" : "Insurance verification, Revenue cycle, Billing, Claim follow-up", "majorSkillsList" : [ "Insurance verification", "Revenue cycle", "Billing", "Claim follow-up" ], "coreResponsibilities" : "Verify medical health benefits, Verify eligibility, Submit pre-authorization for ABA, Submit pre-authorization for SLP, Submit pre-authorization for OT, Submit credentialing applications, Submit demographic information, Post payments, Reconcile payments, Audit Accounts Receivables, Conduct follow-up calls, Follow up on claims, Bill clients for Patient Responsibility, Reconcile payments, Take detailed notes, Document detailed notes, Data entry, Categorization", "teamCollaboration" : "Fantastic collaboration skills; Interpersonal skills", "domainKnowledge" : "ABA therapy; SLP therapy; OT therapy; Health insurance; Medical billing", "domainList" : [ "aba-therapy", "slp-therapy", "ot-therapy", "health-insurance", "medical-billing" ], "domainSpecificKnowledge" : [ "ABA therapy", "SLP therapy", "OT therapy", "Health insurance", "Medical billing" ], "toolProficiency" : [ "Practice Management System" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Detailed notes", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Problem solving skills", "specialRequirements" : "Pass background check", "qualificationsBasic" : "Bachelor's Degree, Experience with accounts receivables, Experience with insurance claims, Familiarity with health insurance, Familiarity with billing, Comfortability speaking with insurance representatives, Pass MD/VA state background check, Pass FBI background check, Pass sex offender background check", "qualificationsPreferred" : "Fluent written communication skills, Fluent oral communication skills, High EQ, Varied interests and passions", "workSiteFlexibility" : "Onsite", "rawDescription" : "Ally Behavior is a full-time, center-based, early intervention Applied Behavior Analysis (ABA) therapy program, serving children with autism ranging from 18 months to 6 years of age. Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. Please include a cover letter so we can get to know you better and understand why you believe you will be a good fit for our team! Applications submitted without a cover letter will not be considered. Job Summary: We are looking for an Entry-Level Insurance & Revenue Cycle Analyst who can support a variety of needs within the company's insurance and billing department. The department is responsible for ensuring that all clients are authorized for therapeutic services, all clinicians and center locations are credentialed with insurance payors, and is responsible for maintaining a healthy revenue cycle and cash flow. Candidates for this role should expect to assist with the insurance and billing process at all stages and provide overall support for the families we serve. Our ideal candidate has extremely strong attention to detail in addition to being professional, energetic, organized and driven. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to help us provide the best possible service to our clients! Your Day-to-Day Responsibilities: Verifying medical health benefits and eligibility Submitting pre-authorization for ABA, SLP, and OT services Submitting credentialing applications to insurance companies Submitting demographic information to insurance companies Posting and reconciling payments in our Practice Management System Auditing Accounts Receivables Conducting follow-up calls with insurance companies Following up on claims Billing clients for Patient Responsibility and reconciling payments with our Practice Management System Taking and documenting detailed notes Data entry and categorization Other tasks and duties as assigned Required Qualifications: Bachelor's Degree required Experience with accounts receivables,insurance claims or other relevant work Familiarity with health insurance and billing Fantastic collaboration and interpersonal skills Comfortability speaking with insurance representatives over the phone Diligence and thorough work when moving throughout the insurance process Keen attention to detail, excellent organizational and problem solving skills Must be able to pass MD/VA state and FBI background check in addition to a sex offender background check What You Will Bring: You have the ability to juggle multiple projects at a time You have the ability to work in a fast-paced, always changing environment, and are willing to do whatever is needed to achieve our company's mission You've finished your Bachelor's and did well in school. What you studied isn't all that important to us. Maybe it's healthcare administration, maybe it's basket weaving You demonstrate strong and fluent written and oral communication skills. This should shine through in your cover letter - show us your style and professionalism You are compassionate and have a high EQ - we work with families who have children with developmental delays. You take pride in excellent customer service and patient experience You like to work really hard and aren't just collecting a paycheck and letting the time pass. Excellent performance and building something special is what you find most fulfilling in life. If you have a project on your plate, you won't stop just because it's 5pm You are self-motivated and want to move up and grow with our ever-expanding company You have varied interests and passions that you can dive deeply into. Maybe you love Russian Literature, minored in it in school, and are part of a local book club with some like-minded friends What We Offer When Joining Our Team: Salaried, full-time position Quarterly bonuses based on clinic performance Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) Professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short-Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Pay Range $50,000—$60,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Entry-Level Insurance and Revenue Cycle Analyst at Ally Behavior Centers. Skills: Insurance verification, Revenue cycle, Billing, Claim follow-up. Verify medical health benefits. Verify eligibility", "postedDate" : "2026-06-13T20:48:07.175", "createdAt" : "2026-06-13T20:48:07.175", "lastUpdated" : "2026-06-15T07:17:46.741", "ingestTimestamp" : "2026-06-13T20:48:07.175", "mongoId" : "6a2c952e74d8ee00a098c7ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Medical benefits verification", "Eligibility verification", "Pre-authorization submission", "Credentialing application submission", "Payment posting", "Claim billing", "Patient responsibility billing", "Organization", "Diligence", "Problem solving", "Compassion", "Insurance verification", "Revenue cycle", "Billing", "Claim follow-up", "Revenue cycle management", "Insurance billing", "Accounts receivables", "Payment reconciliation", "ABA therapy", "SLP therapy", "OT therapy", "Health insurance", "Medical billing", "Practice Management System" ], "skillCount" : 25, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8970f0b99d5843fc3e", "title" : "Transactions Analyst, Global Fleet and Products Electrification", "company" : "Amazon.com Services LLC", "industry" : "Administrative Support, transportation and logistics", "salary" : { "min" : 43900.0, "max" : 79800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T05:56:51.149", "fingerprint" : "23a3c4100306eed342d79fc3a182077e03601e7f6ffbb1f6df507d3562c2551d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139180/apply", "externalId" : "d60c5dd2-dfd2-4675-8f36-f0fafe177088", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent", "experienceMinYears" : 2, "technicalSkills" : "Microsoft Office, Microsoft Excel", "professionalSkills" : [ "Demand validation", "Supply strategy alignment", "Order management", "Invoice reconciliation", "Data integrity", "Procurement systems", "ERP systems" ], "hardSkillsList" : [ "Material transactions", "Purchase requisitions", "Order creation", "Receiving", "Invoice reconciliation", "Procurement", "Purchasing", "Supply chain" ], "hardSkills" : [ { "name" : "Material transactions", "level" : "intermediate" }, { "name" : "Purchase requisitions", "level" : "intermediate" }, { "name" : "Order creation", "level" : "intermediate" }, { "name" : "Receiving", "level" : "intermediate" }, { "name" : "Invoice reconciliation", "level" : "intermediate" }, { "name" : "Procurement", "level" : "intermediate" }, { "name" : "Purchasing", "level" : "intermediate" }, { "name" : "Supply chain", "level" : "intermediate" } ], "majorSkills" : "Material transactions, Procurement, Supply chain", "majorSkillsList" : [ "Material transactions", "Procurement", "Supply chain" ], "coreResponsibilities" : "Execute comprehensive material transactions for electrical equipment, Create purchase requisitions, Create orders, Receive materials, Reconcile invoices, Partner with material managers to validate demand signals, Align with supply strategies, Monitor order statuses, Resolve discrepancies in pricing, Resolve discrepancies in quantity, Resolve discrepancies in delivery timelines, Maintain precise procurement system records, Support continuous improvement initiatives to optimize ordering processes, Support continuous improvement initiatives to optimize invoicing processes, Track electrical equipment orders, Manage electrical equipment orders", "teamCollaboration" : "Multiple teams; Cross-functional communication", "projectManagementSkills" : [ "End-to-end project management" ], "domainKnowledge" : "Electric vehicle fleet; Sustainable transportation; Zero-emission vehicle infrastructure; Global fleet electrification", "domainList" : [ "electric-vehicle-fleet", "sustainable-transportation", "zero-emission-vehicle-infrastructure", "global-fleet-electrification" ], "domainSpecificKnowledge" : [ "Electric vehicle fleet", "Sustainable transportation", "Zero-emission vehicle infrastructure", "Global fleet electrification" ], "toolProficiency" : [ "Coupa", "Oracle", "SAP" ], "problemSolvingSkills" : "Problem-solving; Analytical skills; Process accuracy; Process efficiency", "specialRequirements" : "Work 40 hours/week, Overtime as required, Flexible schedule/shift/work area, Weekends, nights, and/or holidays", "qualificationsBasic" : "2+ years of professional or military experience, 1+ years of working with computers and Microsoft Office products and applications experience, 1+ years of procurement, purchasing, supply chain related work in a procurement organization experience, Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company", "qualificationsPreferred" : "Experience with end-to-end project management, Experience supporting infrastructure, manufacturing, or construction projects, analytical and problem-solving skills with focus on process accuracy and efficiency, Excellent communication and cross-functional collaboration skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our mission to revolutionize sustainable transportation by powering the world's largest electric delivery fleet! As a key player in Amazon's Global Fleet Electrification team, you'll be instrumental in managing critical material transactions that keep our zero-emission vehicle infrastructure moving forward. Your work will directly contribute to reducing carbon emissions and transforming how goods are delivered globally. Key job responsibilities - Execute comprehensive material transactions for electrical equipment, including purchase requisitions, order creation, receiving, and invoice reconciliation - Partner with material managers to validate demand signals and align with supply strategies - Monitor order statuses and proactively resolve discrepancies in pricing, quantity, and delivery timelines - Maintain precise procurement system records to ensure data integrity and compliance - Support continuous improvement initiatives to optimize ordering and invoicing processes A day in the life Your day will be dynamic and impactful, focusing on tracking and managing electrical equipment orders from start to finish. You'll collaborate with multiple teams, ensuring smooth material procurement processes that support our ambitious electric vehicle deployment strategy. Expect to engage in problem-solving, data management, and cross-functional communication that keeps our electrification initiatives running seamlessly. About the team We are a passionate group dedicated to building the largest electric vehicle fleet in the world. Our team sits at the intersection of sustainability, logistics, and innovation, working to transform Amazon's delivery infrastructure. We value collaborative problem-solvers who are excited about making a tangible environmental impact through transportation solutions. Basic Qualifications: - 2+ years of professional or military experience - 1+ years of working with computers and Microsoft Office products and applications experience - High school or equivalent - Work 40 hours/week, and overtime as required - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 1+ years of procurement, purchasing, supply chain related work in a procurement organization experience - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company - Proficiency with Microsoft Excel and familiarity with procurement or ERP systems (e.g., Coupa, Oracle, SAP). Preferred Qualifications: - Experience with end-to-end project management - Experience supporting infrastructure, manufacturing, or construction projects. - Strong analytical and problem-solving skills with focus on process accuracy and efficiency. - Excellent communication and cross-functional collaboration skills. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43,900/year in our lowest geographic market up to $79,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Transactions Analyst, Global Fleet and Products Electrification at Amazon.com Services LLC. Skills: Material transactions, Procurement, Supply chain. Execute comprehensive material transactions for electrical equipment. 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Essential Duties and Responsibilities: Ensure that services are provided consistent with policies, procedures, and regulations, as well as contractual obligations and standards. Coordinate and lead daily and long-term activities of the team; establish work schedules, assign tasks, and cross-train staff; establish and track deadlines to meet client and company objectives; elevate team performance through subject matter expertise and suggestions to improve systems, processes, and procedures; provide formal coaching, mentoring, supervision, and guidance; recruit and hire new team members; monitor training and development of staff; develop and deliver performance reviews. Direct, review, and approve vendor invoice payments and other accounting-related activities following the terms of the management agreement, LPC policies, and property management approval authorization limits. Direct and control the preparation and delivery of timely, accurate, and insightful monthly reports, as well as annual operating and capital budgets; prepare and submit tenant rent and Common Area Maintenance (CAM) or Escalation (OpX) recovery charges to the client. Maintain oversight of contracted terms that impact the financial performance of the asset/company; report on expirations, covenants, restrictions, and other encumbrances that drive decision-making and asset value. Coordinate all lease administration activities with the lease administrator and accounting; review all lease setups, lease changes, reporting, etc., and provide final approval. Coordinate tenant move-ins and move-outs, and \"walk-through\" spaces with tenants and the tenant improvement department; maintain vacant spaces in \"tour-ready\" condition; ensure teams assigned to tenant onboarding activities properly document and communicate with tenants timely and appropriately; follow up with tenants to ensure a successful transition. Respond to tenant needs, ensuring that administrative and building technical staff resolve problems promptly; craft, deliver, and communicate an effective tenant care program that maximizes tenant retention. Direct sourcing and procurement activities to effect optimal operations; deliver detailed bid analysis and recommendations to clients that drive value; manage the quality of vendor service delivery to ensure contract compliance and desired value. Proactively collect rent and other charges in accordance with lease terms and report the status of AR to client(s) with recommendations for action; prepare client-approved standard legal notices. Ensure that at least monthly property inspections are performed; recommend and/or approve alterations, maintenance, and reconditioning; contract for and coordinate vendors. Document plans and preparations for emergency response; ensure resources, supplies, and backups are in place to effectively recover from adverse events; coordinate drills and other required training. Act as primary contact with property owners, serving as Owner Representative to ensure objectives are being met. Perform other duties as assigned. Qualifications: Bachelor's degree (BA/BS) preferred; minimum of 3-5 years of related experience and/or training; or a combination of education and experience; experience with commercial office, retail, and/or industrial properties is highly preferred. Real Estate License required where mandatory by local regulation; CPM or RPA professional designation or candidacy preferred. Intermediate to advanced skills with Microsoft Office Suite, including Microsoft Excel required; knowledge of Yardi or MRI and Kardin preferred. Excellent written and verbal communication skills; ability to clearly and effectively convey complex topics with a positive tone to achieve operational and relationship objectives. Advanced knowledge of financial terms and principles required; ability to forecast outcomes, prepare budgets with long-term capital plans, and deliver insightful variance reports; ability to prepare or draft recommendations for cost/benefit propositions, ROI analysis, and other business proposals. Strong organizational skills that deliver timely results and influence team productivity. Ability to comprehend, analyze, and interpret complex documents and problems involving several options; advanced analytical and quantitative skills required. Fundamental leadership experience or significant collaborative contributions within a high-functioning team. Proven track record for delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and the leadership team. Strong organizational skills with an inquisitive and entrepreneurial mindset. Ability to travel daily to assigned properties as necessary. Ability to work after hours, weekends, holidays, and during emergency situations to meet the needs of the client. Ability to read and write English in order to understand manuals and procedures, and to write reports. Physical Requirements: Ability to sit/stand/walk for long periods of time; manual dexterity to operate a computer keyboard, phone, and other office equipment; eyesight that allows for reading a computer screen, phone screen, reports, etc.; hearing that allows for hearing/understanding spoken words; lifting and carrying up to 20 lbs. NOTE: Some, but not all, of our positions may have an additional requirement to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This position is 100% in-office. The role requires working in the office during standard business hours. Remote work or telecommuting is not an option for this position. #ZIP Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. Why Lincoln? At LPC you will be supported by a national firm where an entrepreneurial mindset is encouraged. You will be encouraged to explore your potential through training programs, mentorship, exciting work, fast-paced assignments, and an environment of constant learning and dedication to results. Our benefits package includes medical, dental, and vision insurance, 401(k), and paid time off. About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, multifamily, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-use properties, throughout the United States, United Kingdom, and Europe. Lincoln’s combined management and leasing portfolio on behalf of institutional clients includes more than 680 million square feet of commercial space. For more information, visit: www.lpc.com. All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with Lincoln Property Company's privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.", "summaryDescription" : "Property Manager at Lincoln Property Company", "postedDate" : "2026-06-15T23:27:52.216", "createdAt" : "2026-06-15T23:27:52.216", "lastUpdated" : "2026-06-16T08:32:18.855", "ingestTimestamp" : "2026-06-15T23:27:52.216", "mongoId" : "6a306015f292fd229cf85526", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051cdf292fd229cf0707c", "title" : "Property Manager", "company" : "Lincoln Property Company", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Property Manager in Atlanta, adjusted for manager-level seniority and full-time employment in the real estate industry." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T08:01:52.119", "fingerprint" : "a309ab8bca22a2c48dcc5c4f072ece36d7fa77b170f96ce90846c0e175f26d68", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lpc/jobs/5165019007", "externalId" : "5165019007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "The Property Manager leads all aspects of a single asset or portfolio of commercial, industrial, and/or retail properties and coordinates all marketing, operations, and financial activities per client and/or company requirements. Essential Duties and Responsibilities: Ensure that services are provided consistent with policies, procedures, and regulations, as well as contractual obligations and standards. Coordinate and lead daily and long-term activities of the team; establish work schedules, assign tasks, and cross-train staff; establish and track deadlines to meet client and company objectives; elevate team performance through subject matter expertise and suggestions to improve systems, processes, and procedures; provide formal coaching, mentoring, supervision, and guidance; recruit and hire new team members; monitor training and development of staff; develop and deliver performance reviews. Direct, review, and approve vendor invoice payments and other accounting-related activities following the terms of the management agreement, LPC policies, and property management approval authorization limits. Direct and control the preparation and delivery of timely, accurate, and insightful monthly reports, as well as annual operating and capital budgets; prepare and submit tenant rent and Common Area Maintenance (CAM) or Escalation (OpX) recovery charges to the client. Maintain oversight of contracted terms that impact the financial performance of the asset/company; report on expirations, covenants, restrictions, and other encumbrances that drive decision-making and asset value. Coordinate all lease administration activities with the lease administrator and accounting; review all lease setups, lease changes, reporting, etc., and provide final approval. Coordinate tenant move-ins and move-outs, and \"walk-through\" spaces with tenants and the tenant improvement department; maintain vacant spaces in \"tour-ready\" condition; ensure teams assigned to tenant onboarding activities properly document and communicate with tenants timely and appropriately; follow up with tenants to ensure a successful transition. Respond to tenant needs, ensuring that administrative and building technical staff resolve problems promptly; craft, deliver, and communicate an effective tenant care program that maximizes tenant retention. Direct sourcing and procurement activities to effect optimal operations; deliver detailed bid analysis and recommendations to clients that drive value; manage the quality of vendor service delivery to ensure contract compliance and desired value. Proactively collect rent and other charges in accordance with lease terms and report the status of AR to client(s) with recommendations for action; prepare client-approved standard legal notices. Ensure that at least monthly property inspections are performed; recommend and/or approve alterations, maintenance, and reconditioning; contract for and coordinate vendors. Document plans and preparations for emergency response; ensure resources, supplies, and backups are in place to effectively recover from adverse events; coordinate drills and other required training. Act as primary contact with property owners, serving as Owner Representative to ensure objectives are being met. Perform other duties as assigned. Qualifications: Bachelor's degree (BA/BS) preferred; minimum of 3-5 years of related experience and/or training; or a combination of education and experience; experience with commercial office, retail, and/or industrial properties is highly preferred. Real Estate License required where mandatory by local regulation; CPM or RPA professional designation or candidacy preferred. Intermediate to advanced skills with Microsoft Office Suite, including Microsoft Excel required; knowledge of Yardi or MRI and Kardin preferred. Excellent written and verbal communication skills; ability to clearly and effectively convey complex topics with a positive tone to achieve operational and relationship objectives. Advanced knowledge of financial terms and principles required; ability to forecast outcomes, prepare budgets with long-term capital plans, and deliver insightful variance reports; ability to prepare or draft recommendations for cost/benefit propositions, ROI analysis, and other business proposals. Strong organizational skills that deliver timely results and influence team productivity. Ability to comprehend, analyze, and interpret complex documents and problems involving several options; advanced analytical and quantitative skills required. Fundamental leadership experience or significant collaborative contributions within a high-functioning team. Proven track record for delivering excellent internal and external customer service; ability to successfully interact/communicate with tenants/vendors/contractors as well as teammates and the leadership team. Strong organizational skills with an inquisitive and entrepreneurial mindset. Ability to travel daily to assigned properties as necessary. Ability to work after hours, weekends, holidays, and during emergency situations to meet the needs of the client. Ability to read and write English in order to understand manuals and procedures, and to write reports. Physical Requirements: Ability to sit/stand/walk for long periods of time; manual dexterity to operate a computer keyboard, phone, and other office equipment; eyesight that allows for reading a computer screen, phone screen, reports, etc.; hearing that allows for hearing/understanding spoken words; lifting and carrying up to 20 lbs. NOTE: Some, but not all, of our positions may have an additional requirement to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This position is 100% in-office. The role requires working in the office during standard business hours. Remote work or telecommuting is not an option for this position. #ZIP Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. Why Lincoln? At LPC you will be supported by a national firm where an entrepreneurial mindset is encouraged. You will be encouraged to explore your potential through training programs, mentorship, exciting work, fast-paced assignments, and an environment of constant learning and dedication to results. Our benefits package includes medical, dental, and vision insurance, 401(k), and paid time off. About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, multifamily, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-use properties, throughout the United States, United Kingdom, and Europe. Lincoln’s combined management and leasing portfolio on behalf of institutional clients includes more than 680 million square feet of commercial space. For more information, visit: www.lpc.com. All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with Lincoln Property Company's privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.", "summaryDescription" : "Property Manager at Lincoln Property Company", "postedDate" : "2026-06-15T23:15:51.527", "createdAt" : "2026-06-15T23:15:51.527", "lastUpdated" : "2026-06-16T08:01:52.119", "ingestTimestamp" : "2026-06-15T23:15:51.527", "mongoId" : "6a3051cdf292fd229cf0707c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "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" : "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" : "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" : "6a306015f292fd229cf85518", "title" : "Property Coordinator", "company" : "Lincoln Property Company", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Property Coordinator in Atlanta, adjusted for company size and industry." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T06:58:31.372", "fingerprint" : "f8171694dd333d43d4399598a9c543b05fd85dddd000dbc6ca1d598d8a13ddcd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lpc/jobs/5165276007", "externalId" : "5165276007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "minimumEducation" : "High School Diploma/GED", "experienceMaxYears" : 2, "remoteFriendly" : false, "rawDescription" : "As an LPC Property Coordinator, you will be responsible for supporting a team that manages one or more assets to provide client deliverables and customer service to building tenants to help maintain and increase the value of the asset. Essential Duties and Responsibilities Support all administrative requirements of the building management office, including management of communications systems, work order system, filing systems, and production and distribution of tenant notices. Process and code invoices for payment using various company or client systems; collect utility invoices to ensure timely payment. Assist with preparation of accurate tenant billings and coordinate data collection for operating expense reconciliations. Coordinate preparation and delivery of timely, accurate, and complete monthly reports and budget packages according to client requirements. Assist in coordinating and documenting tenant move-ins and move-outs; maintain vacant spaces in tour-ready condition. Respond to tenant needs and assist with coordinating vendor deliveries, property services, and procurement activities. Assist with preparation of emergency response plans, drills, and training. Contribute to team performance through suggestions to improve systems, processes, and procedures. Perform other duties and responsibilities as assigned. Qualifications High School Diploma/GED or equivalent experience; up to 2 years of job-related experience required. Bachelor's Degree preferred. Intermediate skills with Microsoft Office Suite. Proficiency with AP and CMMS systems preferred. Intermediate math skills; ability to calculate real estate concepts such as percentages, prorations, discounts, and markups. Strong organizational skills with an inquisitive mentality. Communication skills sufficient to exchange straightforward information with tenants, vendors, and team members. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Physical Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Works with engineers and vendors to track building maintenance activities. Infrequent travel required. Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position. #ZIP Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. Why Lincoln? At LPC you will be supported by a national firm where an entrepreneurial mindset is encouraged. You will be encouraged to explore your potential through training programs, mentorship, exciting work, fast-paced assignments, and an environment of constant learning and dedication to results. Our benefits package includes medical, dental, and vision insurance, 401(k), and paid time off. About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, multifamily, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-use properties, throughout the United States, United Kingdom, and Europe. Lincoln’s combined management and leasing portfolio on behalf of institutional clients includes more than 680 million square feet of commercial space. For more information, visit: www.lpc.com. All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with Lincoln Property Company's privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.", "summaryDescription" : "Property Coordinator at Lincoln Property Company", "postedDate" : "2026-06-15T23:22:55.437", "createdAt" : "2026-06-15T23:22:55.437", "lastUpdated" : "2026-06-16T06:58:31.372", "ingestTimestamp" : "2026-06-15T23:22:55.437", "mongoId" : "6a306015f292fd229cf85518", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051cdf292fd229cf07073", "title" : "Property Coordinator", "company" : "Lincoln Property Company", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an Entry-level Property Coordinator in Atlanta, adjusted for the real estate industry and company size." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T09:17:48.414", "fingerprint" : "0056b712c8c8abdc581283774e2ee6aa7bca58d2c7a40c8a82f84eea1c2017e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lpc/jobs/5164990007", "externalId" : "5164990007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "minimumEducation" : "High School Diploma/GED", "experienceMaxYears" : 2, "remoteFriendly" : false, "rawDescription" : "As an LPC Property Coordinator, you will be responsible for supporting a team that manages one or more assets to provide client deliverables and customer service to building tenants to help maintain and increase the value of the asset. Essential Duties and Responsibilities Support all administrative requirements of the building management office, including management of communications systems, work order system, filing systems, and production and distribution of tenant notices. Process and code invoices for payment using various company or client systems; collect utility invoices to ensure timely payment. Assist with preparation of accurate tenant billings and coordinate data collection for operating expense reconciliations. Coordinate preparation and delivery of timely, accurate, and complete monthly reports and budget packages according to client requirements. Assist in coordinating and documenting tenant move-ins and move-outs; maintain vacant spaces in tour-ready condition. Respond to tenant needs and assist with coordinating vendor deliveries, property services, and procurement activities. Assist with preparation of emergency response plans, drills, and training. Contribute to team performance through suggestions to improve systems, processes, and procedures. Perform other duties and responsibilities as assigned. Qualifications High School Diploma/GED or equivalent experience; up to 2 years of job-related experience required. Bachelor's Degree preferred. Intermediate skills with Microsoft Office Suite. Proficiency with AP and CMMS systems preferred. Intermediate math skills; ability to calculate real estate concepts such as percentages, prorations, discounts, and markups. Strong organizational skills with an inquisitive mentality. Communication skills sufficient to exchange straightforward information with tenants, vendors, and team members. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Physical Requirements To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Works with engineers and vendors to track building maintenance activities. Infrequent travel required. Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. This position is 100% in-office. The role requires working in office during standard business hours. Remote work or telecommuting is not an option for this position. #ZIP Equal Opportunity Employment LPC is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. Candidate Accommodations LPC provides reasonable accommodations in job application procedures for individuals with disabilities. If you need assistance or an accommodation due to a disability, please contact Human Resources. Why Lincoln? At LPC you will be supported by a national firm where an entrepreneurial mindset is encouraged. You will be encouraged to explore your potential through training programs, mentorship, exciting work, fast-paced assignments, and an environment of constant learning and dedication to results. Our benefits package includes medical, dental, and vision insurance, 401(k), and paid time off. About Lincoln Property Company Lincoln Property Company (“Lincoln”) is one of the largest private real estate firms in the United States. Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, multifamily, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-use properties, throughout the United States, United Kingdom, and Europe. Lincoln’s combined management and leasing portfolio on behalf of institutional clients includes more than 680 million square feet of commercial space. For more information, visit: www.lpc.com. All job offers are contingent on completion of a background check and proof of eligibility to work in the United States. By submitting your information or resume in response to this opportunity, you acknowledge that your personal information will be handled in accordance with Lincoln Property Company's privacy policy. Lincoln Property Company does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by Lincoln Property Company to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that Lincoln Property Company will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. At this time, we are not working with any agencies.", "summaryDescription" : "Property Coordinator at Lincoln Property Company", "postedDate" : "2026-06-15T23:20:38.851", "createdAt" : "2026-06-15T23:20:38.851", "lastUpdated" : "2026-06-16T09:17:48.414", "ingestTimestamp" : "2026-06-15T23:20:38.851", "mongoId" : "6a3051cdf292fd229cf07073", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e219bc74574cb6754aa", "title" : "Vice President, Claims Casualty", "company" : "The Cincinnati Insurance Companies", "industry" : "Insurance", "salary" : { "min" : 200000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Claims – Vice President, Claims Casualty", "locations" : [ "Claims – Vice President, Claims Casualty", "163746", "false, 163746, false" ], "certifications" : [ "CFA", "CPA", "FRM" ], "timestamp" : "2026-06-15T07:13:00.417", "fingerprint" : "a296a95fcad3f83ffb32b3f7163f5bc12be6b526c39d7bedc932276f95a0deba", "source" : "taleo", "language" : "en", "applyUrl" : "https://cinfin.taleo.net/careersection/ex/jobdetail.ftl?job=163746", "externalId" : "163746", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fairfield", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7886111,-82.6418883" } ], "locationText" : "Fairfield, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Claims handling", "Coverage analysis", "Litigation management" ], "hardSkillsList" : [ "Case law comprehension", "Analytics", "Metrics development" ], "softSkillsList" : [ "Leadership", "Mentoring", "Negotiation", "Conflict resolution" ], "hardSkills" : [ { "name" : "Case law comprehension", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Metrics development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" } ], "majorSkills" : "Casualty claims, Leadership, Litigation management", "majorSkillsList" : [ "Casualty claims", "Leadership", "Litigation management" ], "coreResponsibilities" : "Prepare P&C claims financial reports, Approve large casualty loss reserves, Approve coverage analysis, Approve defense strategy, Mentor regional casualty managers, Mentor casualty litigation specialists, Mentor Field Claim personnel, Develop systems, Develop processes, Develop procedures, Identify relevant topics, Disseminate educational opportunities", "teamCollaboration" : "Cross-functional leaders; Senior leadership; Diverse team", "domainKnowledge" : "Casualty coverage; Case law; Regulations", "domainList" : [ "casualty-coverage", "case-law", "regulations" ], "domainSpecificKnowledge" : [ "Casualty coverage", "Case law", "Regulations" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Convey vision; Present to leadership; Tactful communication", "continuousLearning" : "Lifelong learning approach; Training", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Bachelors degree or equivalent experience, Insurance specific certifications", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, FRM preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Make a difference with a career in insurance At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person ® . If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. The Headquarters Claims department is currently seeking a claims casualty manager. Successful candidates must have the ability to convey the vision and goals for casualty claims to its teams, members and across the enterprise. This position will report to the manager of headquarters claims. This position is located at our Headquarters office, located in Fairfield, OH. The pay range for this position is $200,000-$245,000 annually. The pay determination is based on the applicant’s education, experience, location, knowledge, skills, and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance. Be ready to: prepare daily P&C claims financial reports for executive claims leadership review and approve large casualty loss reserves in excess of $500,000 review and approve coverage analysis, defense strategy and interplay of both in large casualty claims mentor regional casualty managers, casualty litigation specialists, and Field Claim personnel participate in the development of systems, processes and procedures of service and benefit to effective casualty claim handling identify and disseminate relevant topics of interest and educational opportunities to regional casualty managers, casualty litigation specialists, and Field Claims personnel Be equipped with: demonstrated leadership qualities and mentoring experience which provides the necessary skills, knowledge, and abilities needed to lead, develop, direct and support multiple teams of HQ-based and remote associates experience in a leadership role with a proven history of delivering on key initiatives ability to articulately communicate and present to all levels of the organization, including senior leadership ability to build relationships and influence cross-functional leaders while communicating effectively and tactfully with all levels of the organization highly effective collaborator and influencer practical understanding of analytics and metrics and experience in developing success criteria extensive experience in casualty coverage analysis and litigation management high-level comprehension of case law and regulations in all areas of operation strong analytical and problem-solving skills demonstrated negotiation and conflict resolution skills experience in the development of coverage forms and endorsements strong coaching abilities to guide casualty associates of all experience levels the ability to communicate expectations and hold associates accountable Bring education and experience from: qualified candidates have earned a bachelors' degree or have equivalent related work experience and insurance specific certifications Enhance your talents Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you’re new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional – all while enjoying a meaningful career. Enjoy benefits and amenities Your commitment to providing strong service, sharing best practices and creating solutions that impact lives is appreciated. To increase the well-being and satisfaction of our associates, we offer a variety of benefits and amenities . Embrace a diverse team As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation , gender identity and transgender status ; religion; national origin; age; disability; military service; veteran status; pregnancy; AIDS/HIV or genetic information; or any other basis prohibited by law. All job applicants have rights under Federal Employment Laws. Please review this information to learn more about those rights. 163746", "summaryDescription" : "Vice President, Claims Casualty at The Cincinnati Insurance Companies. Skills: Casualty claims, Leadership, Litigation management. Prepare P&C claims financial reports. 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Atlanta, GA (HCA_AtlantaGA)
4100 Wildwood Pkwy
Atlanta, 30339

" ], "timestamp" : "2026-06-16T01:09:38.838", "fingerprint" : "e5bba830b20fad49d0c16e714a527ef6b8ae0892e566bf0d7e5936f9a4b9f52d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=113666", "externalId" : "113666", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : " Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Manager, Payment Servicing Unit Lead is responsible for leading a team of Account Servicing Associates performing servicing in a contact center environment for automotive finance customers. The position is responsible for coaching, developing, and executing performance management objectives to achieve delivery of company strategy and an outstanding customer experience. What You Will Do 1. Performance Coaching - Actively lead individual/team coaching sessions with a focus on developing skillsets to improve Associate performance and overall effectiveness. Engage with team members in a proactive and positive manner during coaching sessions to co-create solutions through effective two-way conversations. Participate in department level performance coaching initiatives and individual coaching sessions with leadership. The coaching items include but are not limited to 1x1, call monitoring, side by sides, and 3x3. 2. Participate in company initiatives that are Servicing & Loyalty related providing guidance and support in projects and process improvements. Included but not limited to being SME giving requirements, test cases and UAT. 3. Manage staffing levels to include providing details for capacity models and interviewing candidates for new hiring. 4. Performance Management - Hold team members accountable for performance and behaviors as outlined in Company and Department policies and procedures; including but not limited to attendance, performance, prohibited conduct, compliance, and quality assurance targets. Collaborate with Employee Relations to ensure that proper corrective action process is followed in a timely manner and ensure all tracking mechanisms are updated and accurate. 5. All other duties as assigned. What You Will Bring · 5 year of previous leadership experience as supervisor or team lead in a call center is preferred · Auto finance and lease-end industry experience strongly preferred; or 3-4 years of related experience required · Call center and previous sales experience strongly preferred · College Degree desired · Bachelor’s Degree preferred · Excellent communication abilities · Ability to multi-task and prioritize goals to meet business objectives · Ability to understand analysis, technical processes, and business systems · Excellent organizational, interpersonal, and business system skills · Recall of a broad base of product knowledge · Work effectively in a team environment and be flexible to adapt quickly to assigned tasks per business need Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. Bachelor’s degree or equivalent experience The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-Georgia-Atlanta", "summaryDescription" : "Manager, Payment Servicing at Hyundai Capital America", "createdAt" : "2026-06-14T18:52:49.037", "lastUpdated" : "2026-06-16T01:09:38.838", "ingestTimestamp" : "2026-06-14T18:52:49.037", "mongoId" : "69fc49a74c40e2acd1a8341b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176d374d8ee00a0c1afb9", "title" : "Selling Partner Associate (English and French), SP-Support", "company" : "Amazon Ireland Support Services Limited", "industry" : "Administrative Support, Seller Support Operations, amazon customer service", "salary" : { "min" : 27000.0, "max" : 35000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level e-commerce support roles in Ireland, adjusted for company size and remote work." }, "location" : "IRL", "locations" : [ "IRL" ], "timestamp" : "2026-06-15T08:28:18.927", "fingerprint" : "d3c17aaa39385b87e215e0399530121f6a9be78324bd87aef3174df500a4cf9c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438396/apply", "externalId" : "5197a7ca-9dce-4648-90d0-88e1a66a20f7", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "technicalSkills" : "Windows, Microsoft Word, Microsoft Outlook, Microsoft Excel, Online communication tools, Collaboration tools", "professionalSkills" : [ "Customer Service", "Process improvement", "Customer focus", "Quality targets", "Product guidance", "Product details", "Selling points" ], "hardSkillsList" : [ "Customer support", "Issue resolution", "Product support", "Troubleshooting" ], "softSkillsList" : [ "Empathy", "Adaptability" ], "hardSkills" : [ { "name" : "Customer support", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" }, { "name" : "Product support", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Empathy" }, { "name" : "Adaptability" } ], "majorSkills" : "Customer Success, Customer Support, Issue Resolution", "majorSkillsList" : [ "Customer Success", "Customer Support", "Issue Resolution" ], "coreResponsibilities" : "Support Selling Partners to solve issues, Manage high volumes of calls, Manage high volumes of emails, Manage high volumes of chats, Identify customers’ needs, Clarify information, Research every issue, Provide solutions, Display genuine empathy, Display passion for customers, Deliver exceptional customer care, Build sustainable relationships, Engage customers by going extra mile, Oversee productivity targets, Oversee quality targets, Achieve productivity targets, Achieve quality targets, Collaborate with internal stakeholders, Collaborate with internal teams, Document Selling Partner interactions, Document information according to SOPs, Troubleshoot product issues, Provide product guidance, Provide product support, Attend regular training sessions, Learn product details, Learn key selling points, Perform other duties, Perform special projects", "teamCollaboration" : "Collaborating with team members remotely; Engaging in virtual activities; Internal stakeholders and teams", "domainKnowledge" : "Amazon marketplace platform; Amazon's technology platforms; Amazon business policies; Amazon operational processes", "domainList" : [ "amazon-marketplace-platform", "amazon-s-technology-platforms", "amazon-business-policies", "amazon-operational-processes" ], "domainSpecificKnowledge" : [ "Amazon marketplace platform", "Amazon's technology platforms", "Amazon business policies", "Amazon operational processes" ], "toolProficiency" : [ "Online communication tools", "Collaboration tools" ], "communicationSkills" : "Verbal communication; Written communication; Telephone support", "documentationSkills" : "Document interactions; Document information", "continuousLearning" : "Attend regular training sessions; Learn product details; Learn key selling points; Learn new skills", "problemSolvingSkills" : "Issue resolution; Troubleshoot; Research; Provide solutions", "specialRequirements" : "High speed internet required, 5Mb download speed required, 1Mb upload speed required, Suitable home office environment required, Rotating shifts required, Flexibility required", "outcomesObjectives" : "Achieve productivity targets; Achieve quality targets", "qualificationsBasic" : "Experience in Customer Service, Proficiency (C1/C2 level) in English, Proficiency (C1/C2 level) in French, Intermediate competency with Windows, Intermediate competency with Microsoft Word, Intermediate competency with Microsoft Outlook, Intermediate competency with Microsoft Excel, Able to use online communication tools, Able to use collaboration tools", "qualificationsPreferred" : "Excellent verbal communication skills, Excellent written communication skills, Prior contact centre experience, Comfortable working in fast-paced environment, Comfortable working in high-volume environment, Flexibility to adapt to change, Ability to deliver performance in metric-driven environment, Ability to maintain high productivity, Ability to maintain high quality standards, Maintain a customer focus, Foster a positive team environment, Foster a cooperative team environment, Ability to multitask across phone, Ability to multitask across chat, Ability to multitask across email, Clear verbal communication skills, Clear written communication skills, Confidence in providing live telephone support, Ability to troubleshoot, Ability to research, Ability to translate technical instructions, Ability to translate procedural instructions, Enthusiastic, Highly self-motivated, Eager to learn new skills, Sense of urgency, Adaptability in response to changing business needs, Ability to identify process improvements, Ability to drive process improvements", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "SHIFT REQUIREMENTS: Rotating shifts Sunday - Saturday, ranging from 7 AM to 10 PM depending on role. WORK LOCATION: This is a virtual home based role. Permanently working from home from any province in Ireland. START DATE: August 2026 In Selling Partner Support, we help third party Sellers & Vendors sell their products through our Amazon marketplace platform. We interact with Sellers and Vendors from across the world via phone, email and chat in a contact center environment where we answer their questions and resolve their issues regarding Amazon’s technology platforms, business policies, and operational processes. Our Associates serve as the first contact point between Sellers/Vendors and Amazon, and we seek to always respond with complete, accurate and customer-friendly responses. We are ‘Customer Obsessed’ and strive for the perfect customer interaction every time. Our Associates must regularly multi-task utilizing a wide variety of software tools to navigate various Selling Partner Accounts, research and review policies and communicate effective solutions. The successful candidate will have a commitment to delivering outstanding customer service, a strong record of customer focus, and a keen interest in process improvement. You will join one of our home-based teams, and still be part of the Amazon culture by collaborating with team members remotely via video, and engaging in a range of virtual engagement activities. The team's schedule is organized in shifts and weekends to accommodate Amazon´s opening hours 7 days a week. Please note, the shifts cannot be confirmed prior to joining Amazon as they are not determined until after the training period, therefore flexibility is required. Time off and holidays are not allowed during the whole training duration. Key job responsibilities As part of your role, you will have the opportunity to: Support Amazon's Selling Partner’s to solve any incoming issues via 3 channels of communication (Phone, Email & Chat). Manage high volumes of inbound and outbound calls, emails and chats in a timely manner. Identify customers’ needs, clarify information, research every issue and providing solutions. Exemplify Amazons Leadership Principle for Customer Obsession by consistently displaying a genuine empathy and passion for our customers, delivering an exceptional customer care experience with every contact. Build sustainable relationships and engaging customers by going the extra mile. Oversee and achieve various productivity and quality targets and metrics. Collaborate with various internal stakeholders and teams. Document all Selling Partner interactions and information according to standard operating procedures. Troubleshoot and provide product guidance and support to all Amazons Sellers and Vendors. Attend regular training sessions, learn product details and key selling points of products and technologies. Any other duties and special projects as directed by management in keeping with the employee’s skills and experience About the team Join our Amazon Family in Ireland! • New hires become a member of a diverse, multicultural and global team. Join one of our many Amazon community & Affinity groups to further experience Amazon’s inclusive, collaborative culture. • Amazon takes pride in growing talent and leadership from within and offers multiple career paths. • Private Healthcare Plan • Prior to employment start, must have high speed internet with up to 5Mb download and 1Mb upload speed and a suitable home office work environment compliance with Amazon’s virtual contact canter policy. Basic Qualifications: - Experience in Customer Service - Proficiency (C1/C2 level) in English and in the second language outlined in the title of this job advertisement. - Technical Skills: Intermediate competency with Windows, Microsoft Word, Outlook and Excel. Able to use online communication and collaboration tools with ease Preferred Qualifications: - Excellent verbal and written communication skills, with the ability to inspire confidence while guiding customers through issue resolution via phone and email - Strong listening skills with a demonstrated ability to show empathy and a genuine willingness to help - Prior contact centre experience - Comfortable working in a fast-paced, high-volume environment with the flexibility to adapt to change effectively - Ability to deliver strong performance in a metric-driven environment with high productivity and quality standards - Maintain a strong customer focus, ensuring every customer feels supported and valued - Foster a positive and cooperative team environment at all times - Ability to multitask across phone, chat, and email channels simultaneously - Clear and professional verbal and written communication skills, with confidence in providing live telephone support in English and other languages defined for the role - Ability to troubleshoot, research, and translate technical or procedural instructions into clear, customer-friendly guidance - Enthusiastic, highly self-motivated, and eager to learn new skills - Strong sense of urgency and adaptability in response to changing business needs - Ability to identify and drive process improvements Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Selling Partner Associate (English and French), SP-Support at Amazon Ireland Support Services Limited. Skills: Customer Success, Customer Support, Issue Resolution. Support Selling Partners to solve issues. Manage high volumes of calls", "postedDate" : "2026-06-13T15:26:47.741", "createdAt" : "2026-06-13T15:26:47.741", "lastUpdated" : "2026-06-15T08:28:18.927", "ingestTimestamp" : "2026-06-13T15:26:47.741", "mongoId" : "6a2176d374d8ee00a0c1afb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438396/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Customer support", "Issue resolution", "Product support", "Troubleshooting", "Empathy", "Adaptability", "Customer Success", "Customer Support", "Issue Resolution", "Customer Service", "Process improvement", "Customer focus", "Quality targets", "Product guidance", "Product details", "Selling points", "Amazon marketplace platform", "Amazon's technology platforms", "Amazon business policies", "Amazon operational processes", "Online communication tools", "Collaboration tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "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" : "6a21ad3674d8ee00a0cc2584", "title" : "Senior Software Development Engineer, AWS Professional Services - Products and Solutions", "company" : "Amazon Support Services Pty Ltd", "industry" : "Operations, IT, Support Engineering, Software Development, Cloud Computing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Development Engineer in Sydney, Australia, adjusted for Amazon's size and the technology industry." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-16T03:30:58.152", "fingerprint" : "c8145e52838935e2173364847669512cdeb79330b57a0c6525f8e7748065568b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439803/apply", "externalId" : "48033e3f-3e50-4285-98be-31b2aec13a32", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Come change the way the world uses the Cloud! 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Software Development Engineer, AWS Professional Services - Products and Solutions at Amazon Support Services Pty Ltd", "postedDate" : "2026-06-14T20:21:12.813", "createdAt" : "2026-06-14T20:21:12.813", "lastUpdated" : "2026-06-16T03:30:58.152", "ingestTimestamp" : "2026-06-14T20:21:12.813", "mongoId" : "6a21ad3674d8ee00a0cc2584", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439803/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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" : "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" : "6a2cb6ef74d8ee00a09f3bc1", "title" : "Property Claims Field Adjuster – Personal Lines Insurance", "industry" : "Insurance", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Property Claims Field Adjuster in Kingston, United States, adjusted for the insurance industry." }, "location" : "Kingston, NY", "locations" : [ "Kingston, NY" ], "timestamp" : "2026-06-16T00:18:10.390", "fingerprint" : "86bbdf04edb10edb4acc9e25e513e0d7734fcb6c03fc29887e1a6b3509ba6020", "source" : "jazzhr", "language" : "en", "externalId" : "eSKEwy6gO2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingston", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.9287812,-74.0023825" } ], "locationText" : "Kingston, New York, United States", "coreResponsibilities" : "Investigate and evaluate property damage claims, Determine coverage and liability, Negotiate settlements with policyholders, Document all claim activities, Ensure compliance with regulations", "domainKnowledge" : "Personal lines insurance; Property claims", "domainList" : [ "personal-lines-insurance", "property-claims" ], "domainSpecificKnowledge" : [ "Personal lines insurance", "Property claims" ], "problemSolvingSkills" : "Claims investigation; Damage assessment", "specialRequirements" : "Field claims adjustment, Valid driver's license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Property Claims Field Adjuster – Personal Lines Insurance. Investigate and evaluate property damage claims. Determine coverage and liability", "createdAt" : "2026-06-14T18:43:58.554", "lastUpdated" : "2026-06-16T00:18:10.390", "ingestTimestamp" : "2026-06-14T18:43:58.554", "mongoId" : "6a2cb6ef74d8ee00a09f3bc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Personal lines insurance", "Property claims" ], "skillCount" : 2, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.92 }, { "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" : "6a305117f292fd229cef9523", "title" : "Account Manager, P&C Lines Insurance (Tech and Life Sciences Div)", "industry" : "Account Executive", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for mid-seniority and the insurance industry." }, "location" : "US", "locations" : [ "US" ], "certifications" : [ "Property & Casualty insurance license" ], "timestamp" : "2026-06-16T11:04:36.204", "fingerprint" : "aae4cf8da4fa2b01bb1508913b614c4c117c3047d03bd987555e752ea368b425", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/30a4c93e-260f-4763-ab0f-3f51087f8e60/apply", "externalId" : "30a4c93e-260f-4763-ab0f-3f51087f8e60", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Client service", "Organizational skills", "Account management", "Brokerage services" ], "hardSkillsList" : [ "P&C coverages", "General Liability", "Property", "Cyber", "E&O", "D&O", "EPLI", "Umbrella" ], "hardSkills" : [ { "name" : "P&C coverages", "level" : "intermediate" }, { "name" : "General Liability", "level" : "intermediate" }, { "name" : "Property", "level" : "intermediate" }, { "name" : "Cyber", "level" : "intermediate" }, { "name" : "E&O", "level" : "intermediate" }, { "name" : "D&O", "level" : "intermediate" }, { "name" : "EPLI", "level" : "intermediate" }, { "name" : "Umbrella", "level" : "intermediate" } ], "majorSkills" : "Account management, Client servicing, P&C insurance", "majorSkillsList" : [ "Account management", "Client servicing", "P&C insurance" ], "coreResponsibilities" : "Manage end-to-end client servicing, Manage account lifecycle activities, Serve as primary client service contact, Ensure responsive, high-quality support, Manage renewals end-to-end, Submit renewals, Market renewals, Negotiate with carriers, Present to clients, Review insurance policies, Coordinate issuance of certificates, Coordinate endorsements, Coordinate policy changes, Build relationships with carriers, Negotiate favorable terms, Negotiate pricing, Identify coverage gaps, Recommend risk management solutions, Recommend insurance solutions, Ensure accurate data management, Maintain operational compliance", "teamCollaboration" : "Collaborate closely with producers; Collaborate with internal teams", "domainKnowledge" : "Life sciences; Technology clients; P&C insurance; General Liability; Property; Cyber; E&O; D&O; EPLI; Umbrella", "domainList" : [ "life-sciences", "technology-clients", "p-c-insurance", "general-liability", "property", "cyber", "e-o", "d-o", "epli", "umbrella" ], "domainSpecificKnowledge" : [ "Life sciences", "Technology clients", "P&C insurance", "General Liability", "Property", "Cyber", "E&O", "D&O", "EPLI", "Umbrella" ], "toolProficiency" : [ "Agency management systems" ], "communicationSkills" : "Client relationships; Explain coverage concepts", "continuousLearning" : "Professional development support; Mentorship; Career growth opportunities", "specialRequirements" : "Remote or hybrid environment", "outcomesObjectives" : "Support retention; Support growth; Support workflow efficiency", "qualificationsBasic" : "5+ years experience P&C insurance account management, Experience handling middle-market accounts, Active Property & Casualty insurance license", "qualificationsPreferred" : "Bachelor's degree preferred in Business, Finance, or related field", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities In this role, you will manage end-to-end client servicing and account lifecycle activities across a portfolio of middle-market P&C insurance accounts, with a focus on life sciences and technology clients. Serve as the primary client service contact, ensuring responsive, high-quality support across all policy and coverage needs Manage renewals end-to-end, including submissions, marketing, carrier negotiations, and client presentations Review insurance policies for accuracy, adequacy of coverage, and alignment with client risk profiles Coordinate issuance of certificates, endorsements, policy changes, and related documentation Build and maintain strong relationships with insurance carriers to negotiate favorable terms and pricing Identify coverage gaps and recommend tailored risk management and insurance solutions Ensure accurate data management within agency systems and maintain operational compliance standards Collaborate closely with producers and internal teams to support retention, growth, and workflow efficiency Requirements: This position requires strong technical insurance expertise combined with excellent client service and organizational skills, ideally within a brokerage or agency environment. 5+ years of experience in Property & Casualty insurance account management or brokerage services Experience handling middle-market accounts, ideally within life sciences, technology, or similar complex industries Strong knowledge of core P&C coverages including General Liability, Property, Cyber, E&O, D&O, EPLI, and Umbrella Active Property & Casualty insurance license required Bachelor’s degree preferred in Business, Finance, or a related field Strong communication skills with the ability to manage client relationships and explain complex coverage concepts clearly High attention to detail with strong organizational and multitasking abilities Experience using agency management systems and Microsoft Office tools Ability to work independently in a remote or hybrid environment with a proactive, self-driven mindset Benefits: Competitive base salary with performance-based bonus opportunities Comprehensive medical, dental, and vision insurance coverage Generous paid time off, holidays, and flexible work arrangements 401(k) retirement plan with employer matching Professional development support, mentorship, and career growth opportunities Employee recognition programs and referral bonuses Access to wellness, mental health, and family support programs Additional voluntary benefits such as legal, identity theft protection, and pet insurance. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Account Manager, P&C Lines Insurance (Tech and Life Sciences Div). Skills: Account management, Client servicing, P&C insurance. Manage end-to-end client servicing. Manage account lifecycle activities", "postedDate" : "2026-06-15T14:36:26.041", "createdAt" : "2026-06-15T14:36:26.041", "lastUpdated" : "2026-06-16T11:04:36.204", "ingestTimestamp" : "2026-06-16T03:20:39.238", "mongoId" : "6a305117f292fd229cef9523", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "P&C coverages", "General Liability", "Property", "Cyber", "E&O", "D&O", "EPLI", "Umbrella", "Account management", "Client servicing", "P&C insurance", "Client service", "Organizational skills", "Brokerage services", "Life sciences", "Technology clients", "Property & Casualty insurance license", "Agency management systems" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "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" : "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" } ], "status" : 200, "message" : "selling and servicing property and casualty insurance products jobs", "metadata" : { "title" : "selling and servicing property and casualty insurance products" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 75604, "totalPages" : 1513, "hasNext" : true, "hasPrevious" : false } }

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