{ "count" : 74727, "data" : [ { "id" : "6a307f62f292fd229c058aac", "title" : "Director of Research and Engineering, Health and Home", "industry" : "Healthcare", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Research and Engineering in Mountain View, CA, adjusted for the healthcare industry and director-level seniority." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T14:40:16.845", "fingerprint" : "2dcff30a13f8a7f568f69f39dde631d8ef18daa225cada80b6537ea1cb693bc4", "source" : "google", "language" : "en", "externalId" : "112964911318868678", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Director", "summaryDescription" : "Director of Research and Engineering, Health and Home", "postedDate" : "2026-06-16T01:50:04.497", "createdAt" : "2026-06-16T01:50:04.497", "lastUpdated" : "2026-06-16T14:40:16.845", "ingestTimestamp" : "2026-06-16T01:50:04.497", "mongoId" : "6a307f62f292fd229c058aac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30753df292fd229c00d6cc", "title" : "Software Development Engineer, Products and Solutions", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 158000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T11:58:41.991", "fingerprint" : "45970dca3f76925594187d97bfeeac79222ca6764c02728ffb59657107e5c9fb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449377/apply", "externalId" : "425ac0be-0d9b-43b8-a158-b73d938088c6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who's ready to grow fast in a small, high-ownership team. You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one — you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership — as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth — we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact — you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily — primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components — agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt — fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing — design docs, pull request descriptions, and operational reviews - Learn continuously — stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems, real ownership, and a steep learning curve, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Products and Solutions at Amazon.com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:13.424", "lastUpdated" : "2026-06-16T11:58:41.991", "ingestTimestamp" : "2026-06-16T01:54:13.424", "mongoId" : "6a30753df292fd229c00d6cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449377/apply", "salaryAnnualMin" : 158000, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30753df292fd229c00d6cb", "title" : "Software Development Engineer, Products and Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T13:20:15.682", "fingerprint" : "4f087b151a441e33b50f47054100ad95c67e37e844adcdcfd9b07a79d3c52ea5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449378/apply", "externalId" : "8bb0ca9b-3e12-4837-886c-f563ef49bbf6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who's ready to grow fast in a small, high-ownership team. You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one — you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership — as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth — we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact — you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily — primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components — agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt — fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing — design docs, pull request descriptions, and operational reviews - Learn continuously — stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems, real ownership, and a steep learning curve, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Products and Solutions at Amazon Web Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:53:43.347", "lastUpdated" : "2026-06-16T13:20:15.682", "ingestTimestamp" : "2026-06-16T01:53:43.347", "mongoId" : "6a30753df292fd229c00d6cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449378/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e189bc74574cb674c1e", "title" : "Director (Regulation and Prequalification of Medicines and Health Products)", "industry" : "Healthcare", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in Geneva, Switzerland within the Pharma industry, adjusted for seniority and full-time employment." }, "location" : "Switzerland-Geneva", "locations" : [ "Switzerland-Geneva", "Apr 8, 2026, 9:59:00 PM", "Switzerland-Geneva, " ], "timestamp" : "2026-06-16T01:05:19.308", "fingerprint" : "65d233d561d06ed67b153291f3de73cac6f422b79e9c9784474ab60ded786f99", "source" : "taleo", "language" : "en", "applyUrl" : "https://who.taleo.net/careersection/ex/jobdetail.ftl?job=382074", "externalId" : "382074", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Geneva, Switzerland", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Regulatory affairs", "Prequalification", "Risk management", "Legal analysis", "Compliance oversight" ], "hardSkillsList" : [ "Regulatory compliance", "Drug registration", "Health product approval" ], "hardSkills" : [ { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Drug registration", "level" : "intermediate" }, { "name" : "Health product approval", "level" : "intermediate" } ], "majorSkills" : "Medicines regulation, Health products, Prequalification", "majorSkillsList" : [ "Medicines regulation", "Health products", "Prequalification" ], "coreResponsibilities" : "Oversee regulation of medicines, Manage prequalification of health products, Ensure compliance with regulatory requirements, Develop and implement regulatory strategies, Advise on legal and compliance matters, Conduct risk assessments, Monitor changes in regulations", "teamCollaboration" : "Collaborate with international health organizations; Work with regulatory bodies", "domainKnowledge" : "International regulatory frameworks", "domainList" : [ "international-regulatory-frameworks" ], "domainSpecificKnowledge" : [ "International regulatory frameworks" ], "communicationSkills" : "Regulatory reporting; Policy development", "documentationSkills" : "Regulatory submissions; Compliance documentation", "problemSolvingSkills" : "Regulatory problem solving; Compliance issue resolution", "specialRequirements" : "Fixed-term appointment", "qualificationsBasic" : "5+ years experience in regulatory affairs, Experience with medicines and health products, Experience in prequalification processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "D2 Fixed-term appointment 2", "summaryDescription" : "Director (Regulation and Prequalification of Medicines and Health Products). Skills: Medicines regulation, Health products, Prequalification. Oversee regulation of medicines. Manage prequalification of health products", "createdAt" : "2026-06-14T18:51:10.429", "lastUpdated" : "2026-06-16T01:05:19.308", "ingestTimestamp" : "2026-06-14T18:51:10.429", "mongoId" : "69ce5e189bc74574cb674c1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Regulatory compliance", "Drug registration", "Health product approval", "Medicines regulation", "Health products", "Prequalification", "Regulatory affairs", "Risk management", "Legal analysis", "Compliance oversight", "International regulatory frameworks" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c94e574d8ee00a098bd4f", "title" : "Monitoring and Evaluation Specialist", "company" : "Dexis", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Monitoring and Evaluation Specialist in Washington, D.C., adjusted for the healthcare industry and company size." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-15T06:57:43.252", "fingerprint" : "ae68f223da997581d9788150c0ad44e2a8e14d32842dbabc04182bb4f8bd17ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://dexisonline.com/jobs/?gh_jid=4705619005", "externalId" : "4705619005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Program monitoring", "Evaluation research", "Performance management", "Data analysis", "Data visualization", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement" ], "hardSkillsList" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery" ], "softSkillsList" : [ "Trust", "Respect", "Fairness", "Inclusiveness" ], "hardSkills" : [ { "name" : "Evaluation research", "level" : "intermediate" }, { "name" : "Implementation research", "level" : "intermediate" }, { "name" : "Global health security", "level" : "intermediate" }, { "name" : "International public health", "level" : "intermediate" }, { "name" : "Federal agency support", "level" : "intermediate" }, { "name" : "Data collection systems", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Analytical tools", "level" : "intermediate" }, { "name" : "Technical reporting", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" }, { "name" : "Task management", "level" : "intermediate" }, { "name" : "Deadline management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Technical assistance delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trust" }, { "name" : "Respect" }, { "name" : "Fairness" }, { "name" : "Inclusiveness" } ], "majorSkills" : "Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance", "majorSkillsList" : [ "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance" ], "coreResponsibilities" : "Maintain data collection platforms, Enhance data collection platforms, Track program implementation, Support FETP monitoring, Collect program data, Validate program data, Manage program data, Support performance tracking, Develop data analysis products, Develop visualization products, Report implementation progress, Train stakeholders, Train country offices, Train implementing partners, Provide technical assistance, Support evaluation tool design, Support evaluation methodology refinement, Coordinate evaluation activities, Conduct data collection, Conduct data analysis, Conduct data synthesis, Support evaluation efforts, Prepare written reports, Prepare oral reports, Summarize evaluation findings, Summarize evaluation conclusions, Summarize evaluation recommendations, Support dissemination of products, Support archiving of products, Prepare project status reports, Align reports with work plans, Align reports with reporting requirements, Assist in presentation development, Assist in briefing development, Ensure compliance with reporting requirements, Ensure compliance with data collection standards, Support process improvement", "teamCollaboration" : "Country offices; Implementing partners; CDC staff; Global stakeholders", "projectManagementSkills" : [ "Work plans", "Reporting requirements" ], "domainKnowledge" : "Global health security; Public health initiatives; Field Epidemiology Training Program; International public health programs; Federal reporting requirements; Data collection standards", "domainList" : [ "global-health-security", "public-health-initiatives", "field-epidemiology-training-program", "international-public-health-programs", "federal-reporting-requirements", "data-collection-standards" ], "domainSpecificKnowledge" : [ "Global health security", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards" ], "toolProficiency" : [ "Data collection platforms", "Databases", "Analytical tools", "Data visualization tools", "Dashboard development tools" ], "communicationSkills" : "Technical reports; Presentations; Briefings", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Data analysis; Data synthesis", "specialRequirements" : "International travel", "outcomesObjectives" : "Assess program effectiveness; Assess program efficiency; Assess program impact; Support evidence-based decision-making", "qualificationsBasic" : "Master's degree in Public Health, 4+ years M&E experience, 2+ years global health experience, Federal agency experience, Data collection systems experience, Database management experience, Analytical skills, Writing skills, Communication skills, Manage multiple tasks, Meet reporting deadlines", "qualificationsPreferred" : "FETP experience, Workforce development experience, CDC experience, International technical assistance experience, Data visualization proficiency, Dashboard development proficiency, Train diverse audiences, Facilitate stakeholder engagement", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U. S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance. This position is contingent upon award. Responsibilities Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring Collect, validate, and manage quarterly program data to support performance tracking Develop data analysis and visualization products to report on implementation progress Train stakeholders, including country offices and implementing partners, on monitoring tools and systems Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities Support design, refinement, and implementation of evaluation tools and methodologies Coordinate evaluation activities across program stakeholders Conduct data collection, analysis, and synthesis to support evaluation efforts Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations Support dissemination and archiving of evaluation products Support preparation of project status reports aligned with program work plans and reporting requirements Assist in development of presentations, briefings, and other communication products for stakeholders Collaborate with CDC staff, implementing partners, and global stakeholders Ensure compliance with federal reporting requirements and data collection standards Support continuous improvement of monitoring, evaluation, and learning processes across DGHP Qualifications Master’s degree in Public Health, Epidemiology, Global Health, or a related field Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research At least 2 years of experience in global health security or related international public health programs Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities Experience with data collection systems, database management, and analytical tools Strong analytical, writing, and communication skills, including preparation of technical reports and presentations Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment Preferred Qualifications Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives Experience working with CDC or similar public health agencies Experience delivering technical assistance in international settings Proficiency in data visualization, reporting tools, and dashboard development Experience training diverse audiences and facilitating stakeholder engagement Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law. As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.", "summaryDescription" : "Monitoring and Evaluation Specialist at Dexis. Skills: Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance. Maintain data collection platforms. Enhance data collection platforms", "postedDate" : "2026-06-14T08:35:46.700", "createdAt" : "2026-06-14T08:35:46.700", "lastUpdated" : "2026-06-15T06:57:43.252", "ingestTimestamp" : "2026-06-14T08:35:46.700", "mongoId" : "6a2c94e574d8ee00a098bd4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery", "Trust", "Respect", "Fairness", "Inclusiveness", "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance", "Program monitoring", "Performance management", "Data analysis", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement", "Work plans", "Reporting requirements", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards", "Data collection platforms", "Databases", "Data visualization tools", "Dashboard development tools" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30753df292fd229c00d6ca", "title" : "Sr. Software Development Engineer, Products and Solutions", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T12:40:35.028", "fingerprint" : "f31633db429f0cacc63c56f4de5602a5720ff0d21efc5bc35771ac0fe401950e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449376/apply", "externalId" : "59daad58-6b36-4c39-8907-669a25e9b1a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "We're looking for a Senior Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud — and who thrives as the technical anchor of an AWS 2-pizza team. You'll own the architecture and delivery of production systems that power how AWS Professional Services delivers enterprise cloud migrations and modernization at scale. Our team builds agentic AI solutions — platforms where AI agents and human consultants collaborate as a unified delivery team — reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by thousands of practitioners serving Fortune 500 customers. This is a hands-on builder role with leadership expectations. You'll write code, design systems, lead projects across multiple engineers, mentor teammates, and own operational excellence for your services — all within a product engineering org that ships fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility — frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult — we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems — every team is working on some aspect of agentic AI: building agents, orchestrating them, evaluating their outputs, or making them extensible. You'll be at the frontier of applied AI engineering. - Small team, big impact — as an AWS 2-pizza team, you'll have direct ownership of significant components. Your architecture decisions directly impact 5000+ consultants across 60+ countries delivering $1B+ in active delivery pipeline. - Full-stack ownership — from React frontends to CDK infrastructure to AI agent logic. No artificial boundaries between \"frontend\" and \"backend\" engineers. - Career growth — we invest in developing senior engineers toward Principal levels. You'll work alongside senior architects and receive direct mentorship on expanding your technical influence beyond a single team. - Direct customer engagement — you'll occasionally engage directly on customer migrations, seeing your tools in action and bringing insights back to improve the platform. Key job responsibilities - Own team-level architecture — design systems that are simple, extensible, and operationally sound - Influence design and technical decisions beyond your immediate team, contributing to org-wide architectural direction and engineering standards - Lead projects spanning multiple engineers; make sound technical decisions and drive execution from design through production deployment - Design and build agentic AI components — whether that's agent logic, orchestration workflows, evaluation pipelines, or integration APIs - Write production code daily — you should spend the majority of your time building, not meeting - Set engineering standards on your team: code quality, testing practices, CI/CD pipelines, observability, and incident response - Solve complex distributed systems problems where trade-offs between latency, consistency, extensibility, and cost aren't obvious - Proactively identify and resolve technical debt; simplify systems rather than layering complexity - Mentor and grow engineers on your team; help junior and mid-level engineers level up through code reviews, design guidance, and career coaching - Communicate technical designs clearly in writing — design docs, RFCs, and architecture decision records - Drive operational excellence: meaningful alarms, runbooks, dashboards, and a culture of learning from incidents - Travel ~5% to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team — not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities — expect to work with LLMs, multi-agent frameworks, and tool-use patterns daily. About the team We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to the code. We're building something new and moving fast — if you want greenfield problems with real constraints, this is it. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Bachelor's degree in computer science or equivalent Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building complex software systems that have been successfully delivered to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Products and Solutions at Amazon Web Services, Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-16T01:54:09.001", "lastUpdated" : "2026-06-16T12:40:35.028", "ingestTimestamp" : "2026-06-16T01:54:09.001", "mongoId" : "6a30753df292fd229c00d6ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449376/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f3cf292fd229c056ef0", "title" : "Head of Brand, Products, Solutions and Data, YouTube", "company" : "YouTube", "industry" : "Media", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in Mexico City's media industry, adjusted for YouTube's company size and the specific role's scope." }, "location" : "[Mexico City, CDMX, Mexico, [Mexico City, CDMX, Mexico], Mexico City, null, CDMX, MX]", "locations" : [ "[Mexico City, CDMX, Mexico, [Mexico City, CDMX, Mexico], Mexico City, null, CDMX, MX]" ], "timestamp" : "2026-06-16T15:11:38.591", "fingerprint" : "70135a33214acb21c3c57c3f4fa8fe607dc4f811274548f67fa4323b9154a97c", "source" : "google", "language" : "en", "externalId" : "130065512586453702", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "CDMX", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, CDMX, Mexico", "summaryDescription" : "Head of Brand, Products, Solutions and Data, YouTube at YouTube", "postedDate" : "2026-06-16T01:50:46.844", "createdAt" : "2026-06-16T01:50:46.844", "lastUpdated" : "2026-06-16T15:11:38.591", "ingestTimestamp" : "2026-06-16T01:50:46.844", "mongoId" : "6a307f3cf292fd229c056ef0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b3074d8ee00a0948bb3", "title" : "RAG and Evaluation Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior RAG and Evaluation Engineer in the United States, adjusted for the technology industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T06:35:36.771", "fingerprint" : "c8ac4f60b75f957ac89ea39c07d64f795375dcccacb1a7fcf649282f9414c411", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284737009", "externalId" : "4284737009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "TypeScript, Python, RAG, BM25, Embeddings", "professionalSkills" : [ "Benchmarking", "Regression detection" ], "hardSkillsList" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation" ], "hardSkills" : [ { "name" : "Chunking", "level" : "intermediate" }, { "name" : "Hybrid retrieval", "level" : "intermediate" }, { "name" : "Reranking", "level" : "intermediate" }, { "name" : "LLM-as-judge patterns", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" } ], "majorSkills" : "RAG, Evaluation, Retrieval pipelines", "majorSkillsList" : [ "RAG", "Evaluation", "Retrieval pipelines" ], "coreResponsibilities" : "Define metrics, Use AI tooling", "teamCollaboration" : "Fast-paced environment; Collaborative environment", "domainKnowledge" : "Healthcare IT; Legacy modernization", "domainList" : [ "healthcare-it", "legacy-modernization" ], "domainSpecificKnowledge" : [ "Healthcare IT", "Legacy modernization" ], "toolProficiency" : [ "AI tooling", "Agents" ], "innovationCreativity" : "Innovation", "qualificationsBasic" : "Production RAG system, Production retrieval pipelines, Applied evaluation skills, Production experience, Demonstrated experience in remote work", "qualificationsPreferred" : "Code-as-corpus retrieval, Applied IR background, Open-source contributions, Experience integrating feedback loops, Healthcare IT experience, Legacy modernization experience, Public technical writing, Conference talks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a RAG equivalent experience may substitute for the degree requirement. Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). Ability to work in a fast-paced, collaborative environment. Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. Knows when BM25 beats embeddings and when neither is enough. Measures everything they ship; opinions about chunking are backed by benchmarks. Patient with detail; comfortable defining metrics before the team has agreed on them. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong TypeScript or Python. Demonstrated experience in a remote work environment. Nice to Have: Code-as-corpus retrieval (search over source code rather than prose). Applied IR or search-engine background. Synthetic data generation and LLM-as-judge patterns. Open-source contributions to retrieval, eval, or RAG tooling. Experience integrating retrieval feedback loops with production usage. Healthcare IT or legacy modernization domain experience. Public technical writing or conference talks on retrieval or evaluation. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "RAG and Evaluation Engineer at LTS. Skills: RAG, Evaluation, Retrieval pipelines. Define metrics. Use AI tooling", "postedDate" : "2026-06-13T20:58:18.293", "createdAt" : "2026-06-13T20:58:18.293", "lastUpdated" : "2026-06-15T06:35:36.771", "ingestTimestamp" : "2026-06-13T20:58:18.293", "mongoId" : "6a2c7b3074d8ee00a0948bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation", "RAG", "Evaluation", "Retrieval pipelines", "Benchmarking", "Regression detection", "Healthcare IT", "Legacy modernization", "AI tooling", "Agents" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3070f1f292fd229cff723a", "title" : "Monitoring, Evaluation and Learning (MEL) Intern", "company" : "SNV", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 3600000.0, "max" : 6000000.0, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level MEL Intern in Sumbawanga, Tanzania, adjusted for the non-profit industry and internship role." }, "location" : "Sumbawanga, Rukwa Region, TZ", "locations" : [ "Sumbawanga", "Rukwa Region", "TZ" ], "timestamp" : "2026-06-16T09:31:22.390", "fingerprint" : "cc4b5e85ace2adbcdf9b6211cad06539ce9a1464adeb2f43ce2f7bf28a70c6e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SNV/744000132146344-monitoring-evaluation-and-learning-mel-intern", "externalId" : "744000132146344", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sumbawanga", "state" : "Rukwa Region", "country" : "Tanzania", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-7.9523861,31.6231898" } ], "locationText" : "Sumbawanga, Rukwa Region, Tanzania", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "KoboToolbox, ODK, Xlsforms, Microsoft Excel, Power BI, GIS, R, SPSS, Stata", "professionalSkills" : [ "Data management", "Data analysis", "Reporting", "Documentation", "Filing" ], "hardSkillsList" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis" ], "softSkillsList" : [ "Confidentiality" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Indicator tracking", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidentiality" } ], "majorSkills" : "Data collection, Data analysis, Reporting, Data management", "majorSkillsList" : [ "Data collection", "Data analysis", "Reporting", "Data management" ], "coreResponsibilities" : "Support development, deployment and management of digital data, Coordinate with field officers, enumerators, CSOs, and extension, Assist in reviewing submitted datasets for completeness, consistency,, Centralize datasets into reusable data products, Maintain organized digital and physical MEL records, Support routine data cleaning, validation and data quality, Participate in field monitoring visits and spot checks, Support verification of reported activities and indicator achievements, Compile routine indicator tracking data, Support tracking project targets against achievements, Support preparation of activity reports, quarterly district reports,, Assist in documenting outcome harvesting evidence, success stories,, Generate basic summaries, tables, charts, and trend analyses, Support reporting/data gap analyses, Support organization of learning events, review meetings, and, Follow up with partners on data submissions and, Support logistics for surveys, assessments, and monitoring activities", "teamCollaboration" : "Working with field teams; Working with Value Chain Coordinators; Working with implementing partners; Engaging project partners; Engaging field stakeholders", "domainKnowledge" : "Agriculture; Nutrition; Food security; Climate resilience; Development projects; Market systems development", "domainList" : [ "agriculture", "nutrition", "food-security", "climate-resilience", "development-projects", "market-systems-development" ], "domainSpecificKnowledge" : [ "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development" ], "toolProficiency" : [ "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "documentationSkills" : "Documentation; Filing; Outcome harvesting; Success stories; Lessons learned", "specialRequirements" : "Willingness to travel frequently, Ability to work under tight timelines", "outcomesObjectives" : "Ensure high-quality data is always available; Strengthen timely availability of quality data for project management; Support evidence based decision making; Support donor reporting", "qualificationsBasic" : "Bachelor’s Degree or Diploma, Up to 2 years of relevant experience, Experience using KoboToolbox, ODK, or similar, Proficiency with developing digital data collection tools using xlsforms, Proficiency in Microsoft Excel, Basic data analysis and reporting skills, Good documentation and filing skills", "qualificationsPreferred" : "Experience with agriculture, nutrition, or development projects, Experience with dashboard development and data visualization, Knowledge of agricultural, nutrition, or market systems development projects, Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software, Possession of a valid motorcycle license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SNV Netherlands Development Organisation http://www.snv.org/ is a Dutch-based international development organisation that provides market-based solutions for the poor through local institutions and organisations in 24 developing countries in Asia, Africa and Latin America. Working in Agriculture, Energy, and Water, Sanitation & Hygiene, we have built a long-term, local presence in Asia, Africa and Latin America. Our global team of local and international advisors works with local partners to equip communities, businesses and organisations with the tools, knowledge and connections they need to increase their incomes and gain access to basic services – empowering them to break the cycle of poverty and guide their own development. With over 50 years of working to support Tanzanian communities, we have a long track record of achieving scale and sustainability that makes a lasting difference in the lives of people in poverty. SNV in Tanzania’s diverse portfolio covers climate-smart agriculture, landscape conservation, renewable energy, and water, sanitation and hygiene. Empowering Smallholder Farmers for Food Security and Climate Resilience (NOURISH Tanzania) is a five-year project that aims to achieve resilient food security and improve nutrition for SHF households in key regions of Tanzania. The project focuses on two areas, both of which experience food insecurity and malnutrition, but which are distinctly different: the central-northern zone (Singida, Dodoma, Manyara) which suffer from acute food insecurity and Southern Highlands (Songwe, Rukwa) which faces chronic malnutrition. The project has reached its mid-term stage and has established a strong foundation for implementation by improving smallholder farmer households’ knowledge of climate-smart agriculture and nutrition practices, while also strengthening engagement with critical stakeholders. Moving forward, the project aims to deepen adoption by consolidating access to essential services, strengthening linkages, and addressing key systemic barriers that have been identified. Through this placement, the project seeks to strengthen its monitoring, evaluation and learning function through management collection data collection and analysis and learning while ensuring high-quality data is always available for project management and learning purposes. The MEL Intern will support implementation of project MEL activities including data collection, verification, cleaning, compilation, reporting, and coordination working closely with field teams, Value Chain Coordinators and implementing partners. The role is intended to strengthen timely availability of quality data for project management, learning, evidence based decision making and donor reporting. * Support development, deployment and management of digital data collection tools (e.g. Kobo Toolbox/ODK). * Coordinate with field officers, enumerators, CSOs, and extension staff during data collection exercises. * Assist in reviewing submitted datasets for completeness, consistency, and accuracy * Centralize datasets into reusable data products (database, Excel files) and maintain organized digital and physical MEL records. * Support routine data cleaning, validation and data quality assurance processes. * Participate in field monitoring visits and spot checks. * Support verification of reported activities and indicator achievements. * Compile routine indicator tracking data and support tracking project targets against achievements. * Support preparation of activity reports, quarterly district reports, and annual reports. * Assist in documenting outcome harvesting evidence, success stories, lessons learned, field observations and other MEL resources. * Generate basic summaries, tables, charts, and trend analyses as well as reporting/data gap analyses using Excel or related tools. * Support organization of learning events, review meetings, and reflection sessions. * Follow up with partners on data submissions and reporting timelines. * Support logistics for surveys, assessments, and monitoring activities. ## Qualifications * Bachelor’s Degree or Diploma in Monitoring & Evaluation, Statistics, Agricultural Economics, ICT, Data Science, Data Management, Computer Science or related field. * Up to 2 years of relevant experience in MEL, research, project data management, or related fields, including internships, volunteer assignments, research projects, or development program experience. * Experience using KoboToolbox, ODK, or similar digital data collection systems * Proficiency with developing digital data collection tools using xlsforms (ODK/Kobo Toolbox). * Experience working with agriculture, nutrition, or development projects * Proficiency in Microsoft Excel, including the use of formulas, Pivot Tables, and data validation tools. * Basic data analysis and reporting skills. * Good documentation and filing skills. * Experience with dashboard development and data visualization. * Knowledge of agricultural, nutrition, or market systems development projects. * Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software * Possession of a valid motorcycle license is an added advantage. Attributes: * High attention to detail. * Strong organizational skills. * Integrity and confidentiality in handling data. * Ability to work independently and within teams. * Willingness to travel frequently to field locations, * Ability to work under tight timelines. * Strong interpersonal and communication skills for engaging project partners and field stakeholders ## Additional Information ADDITIONAL INFORMATION Location: Sumbawanga (with frequent field travel) Duration: 1 year (possibility of renewal) Remuneration: Based strictly on SNV Tanzania internship rates. WORKING AT SNV SNV offers a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from, and contribute to, an internal global network of Agri Food team. HOW TO APPLY The vacancy is for internal and external candidates and it will active up to 20th June 2026. All applications should be through Smart Recruiters on the following link .", "summaryDescription" : "Monitoring, Evaluation and Learning (MEL) Intern at SNV. Skills: Data collection, Data analysis, Reporting, Data management. Support development, deployment and management of digital data. Coordinate with field officers, enumerators, CSOs, and extension", "postedDate" : "2026-06-15T08:59:59.000", "createdAt" : "2026-06-16T01:31:18.695", "lastUpdated" : "2026-06-16T09:31:22.390", "ingestTimestamp" : "2026-06-16T01:31:18.695", "mongoId" : "6a3070f1f292fd229cff723a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis", "Confidentiality", "Data analysis", "Reporting", "Data management", "Documentation", "Filing", "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development", "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "69f8686f4c40e2acd1f7ebb5", "title" : "Internship - Evaluation of Fission Yield and Fission Neutron Data", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for internships in Austria, adjusted for the seniority level and the specific industry." }, "location" : "Austria-Vienna-Vienna-IAEA Headquarters", "locations" : [ "Austria-Vienna-Vienna-IAEA Headquarters", "2026-05-04, 11:59:00 PM", "3, Interns, Interns" ], "timestamp" : "2026-06-16T05:41:35.163", "fingerprint" : "701c3c31fa230ef377fa3d75d8a0fc9d374793437da1fd40381395c8de2d4b3e", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1307647", "externalId" : "1307647", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vienna", "country" : "Austria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.2083537,16.3725042" } ], "locationText" : "Vienna, Austria", "employmentType" : "INTERNSHIP", "domainKnowledge" : "Fission Yield; Fission Neutron Data", "domainList" : [ "fission-yield", "fission-neutron-data" ], "domainSpecificKnowledge" : [ "Fission Yield", "Fission Neutron Data" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAPC-Nuclear Data Section Austria-Vienna-Vienna-IAEA Headquarters", "summaryDescription" : "Internship - Evaluation of Fission Yield and Fission Neutron Data at IAEA", "createdAt" : "2026-06-14T18:52:15.312", "lastUpdated" : "2026-06-16T05:41:35.163", "ingestTimestamp" : "2026-06-14T18:52:15.312", "mongoId" : "69f8686f4c40e2acd1f7ebb5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Fission Yield", "Fission Neutron Data" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "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" : "6a2c758574d8ee00a09373d0", "title" : "Research and Prototyping Engineer", "company" : "Arcturus", "industry" : "Internships", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Research and Prototyping Engineer in Los Angeles, USA, adjusted for the manufacturing industry and company size." }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T00:35:02.360", "fingerprint" : "60b7b2bab613507741ba9b1d2dbe513763b0bd02e3cad4ed6c0c834d56185519", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/arcturus/f6cc56f2-38d0-4fb5-90b9-ae3650118f35/application", "externalId" : "f6cc56f2-38d0-4fb5-90b9-ae3650118f35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "CAD, Raman spectroscopy, Microscopy, SEM/EDS, Electrical testing, Mechanical testing", "professionalSkills" : [ "Supplier research", "Experimental tracking", "Fixture development", "Sample preparation", "Technical documentation" ], "hardSkillsList" : [ "Materials science", "Additive manufacturing", "Process engineering", "Materials characterization" ], "hardSkills" : [ { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Additive manufacturing", "level" : "intermediate" }, { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Materials characterization", "level" : "intermediate" } ], "majorSkills" : "Materials science, Additive manufacturing, Process engineering, Testing", "majorSkillsList" : [ "Materials science", "Additive manufacturing", "Process engineering", "Testing" ], "coreResponsibilities" : "Support technical team across experiments, Conduct literature research, Perform supplier research, Prepare samples, Develop fixtures, Perform testing, Maintain documentation, Build and maintain supplier database, Organize recipe matrix, Support nanomaterial handling, Track experimental results, Build and maintain chamber BOMs, Track vendor quotes, Support fixture and tooling development, Organize fixture CAD library, Support additive manufacturing experiments, Support flash sintering fixture iterations, Create and improve sample preparation SOPs, Support cylinder coupon workflows, Translate experimental procedures into work instructions, Support internal materials testing, Prepare samples for external testing, Coordinate with external vendors and labs, Maintain clear technical documentation", "teamCollaboration" : "Work closely with technical leads; Work with senior engineers", "domainKnowledge" : "Carbon nanomaterials; Additive manufacturing; Electrification; Materials science; Powder processing", "domainList" : [ "carbon-nanomaterials", "additive-manufacturing", "electrification", "materials-science", "powder-processing" ], "domainSpecificKnowledge" : [ "Carbon nanomaterials", "Additive manufacturing", "Electrification", "Materials science", "Powder processing" ], "toolProficiency" : [ "Onshape" ], "documentationSkills" : "Technical documentation; Lab notes; Test summaries; Experimental results", "continuousLearning" : "Willingness to learn across multiple disciplines", "innovationCreativity" : "Prototype development", "qualificationsBasic" : "BS, MS, or PhD in materials science, mechanical engineering, chemical engineering, electrical engineering, physics, chemistry, manufacturing engineering, or a related technical field, Technical curiosity and willingness to learn, Comfortable working hands-on in a lab, shop, or experimental environment, Highly organized, detail-oriented, and reliable with documentation, Able to take direction, ask good questions, and execute quickly, Excited to work in a fast-moving startup environment", "qualificationsPreferred" : "Experience working in a research lab, hardware startup, university lab, or advanced manufacturing environment, Experience with carbon nanomaterials, graphene, carbon nanotubes, metallurgy, additive manufacturing, powder processing, or materials characterization, Familiarity with Raman spectroscopy, microscopy, SEM/EDS, electrical testing, mechanical testing, polishing, or sample preparation, CAD experience, ideally with Onshape or similar tools, Experience with literature reviews, supplier research, technical databases, or experimental documentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Arcturus Arcturus is creating a new wire technology stack that uses carbon nanomaterials to overcome the materials limitations of metals where performance breaks down, at real operating temperatures. Our technology is designed to significantly improve the performance of electric motors for drones and robotics, heat sinks, and ultimately the entire energy grid. At its core, Arcturus is developing a new class of carbon nanomaterial-infused metal matrix composites for high-performance conductor applications. Why you should join us This is a ground-floor opportunity to help build something that has never been done before. You would join as an early technical co-op and work closely with Arcturus’ technical team across nanomaterials, additive manufacturing, process engineering, and testing. This is a hands-on role for someone who wants to learn quickly, contribute directly, and help build the experimental foundation for a first-of-its-kind materials platform. Purpose We are seeking a Research and Prototyping Engineer Co-op who can support the technical team across experiments, literature research, supplier research, sample preparation, fixture development, testing, and documentation. This role is intentionally broad. You do not need to be an expert in every area, but you should be highly curious, organized, hands-on, and excited to work at the intersection of materials science, advanced manufacturing, and electrification. The role This role will work closely with Arcturus’ technical leads and senior engineers. Nanomaterials - Build and maintain a carbon nanomaterial and powder supplier database, including vendors, material specs, pricing, lead times, and sample availability - Help organize a recipe matrix for carbon nanomaterial integration, including material type, loading level, feedstock, processing route, and resulting performance - Support basic nanomaterial handling, sample preparation, documentation, and experimental tracking Additive Manufacturing - Help build and maintain chamber BOMs, equipment lists, vendor quote trackers, and component comparison tables - Support fixture and tooling development through CAD, ideally in Onshape or a similar CAD platform - Help organize a fixture CAD library for experimental setups, sample holders, coupons, and test hardware - Support additive manufacturing experiments through preparation, documentation, build tracking, and post-build sample handling Process Engineering - Support flash sintering fixture iterations, including CAD updates, part sourcing, assembly, testing, and documentation - Help create and improve sample preparation SOPs for polishing, sectioning, mounting, cleaning, labeling, and tracking - Support cylinder coupon workflows, including sample preparation, processing, inspection, measurement, and documentation - Help translate experimental procedures into clear, repeatable work instructions and lab notes Testing and Characterization - Support internal materials testing, including Raman spectroscopy, electrical characterization, mechanical characterization, polishing, microscopy, and other methods as needed - Help prepare samples and data packages for external testing, vendor evaluation, partner validation, and customer-facing demonstrations - Coordinate with external vendors and labs for quotes, sample shipments, testing status, and results tracking - Maintain clear technical documentation, including lab notes, test summaries, experimental results, and lessons learned Basic qualifications - Currently pursuing or recently completed a BS, MS, or PhD in materials science, mechanical engineering, chemical engineering, electrical engineering, physics, chemistry, manufacturing engineering, or a related technical field - Strong technical curiosity and willingness to learn across multiple disciplines - Comfortable working hands-on in a lab, shop, or experimental environment - Highly organized, detail-oriented, and reliable with documentation - Able to take direction, ask good questions, and execute quickly - Excited to work in a fast-moving startup environment where priorities can change quickly Preferred qualifications - Experience working in a research lab, hardware startup, university lab, or advanced manufacturing environment - Experience with carbon nanomaterials, graphene, carbon nanotubes, metallurgy, additive manufacturing, powder processing, or materials characterization - Familiarity with Raman spectroscopy, microscopy, SEM/EDS, electrical testing, mechanical testing, polishing, or sample preparation - CAD experience, ideally with Onshape or similar tools - Experience with literature reviews, supplier research, technical databases, or experimental documentation What we offer - Hands-on technical experience with first-of-its-kind materials and manufacturing challenges - The chance to work closely with senior technical leads across nanomaterials, additive manufacturing, process engineering, and testing - Real ownership over useful technical projects, databases, fixtures, experiments, and documentation - Up to a one-year co-op experience with direct exposure to early-stage deeptech startup building. If the fit is right, we'd love to bring you on to the team! If this role excites you, even if you do not check every box, we’d love to hear from you. We’d rather work with a fast learner who cares deeply about the work than someone with years of experience but little curiosity.", "summaryDescription" : "Research and Prototyping Engineer at Arcturus. Skills: Materials science, Additive manufacturing, Process engineering, Testing. Support technical team across experiments. Conduct literature research", "createdAt" : "2026-06-14T20:11:35.092", "lastUpdated" : "2026-06-16T00:35:02.360", "ingestTimestamp" : "2026-06-14T20:11:35.092", "mongoId" : "6a2c758574d8ee00a09373d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Materials science", "Additive manufacturing", "Process engineering", "Materials characterization", "Testing", "Supplier research", "Experimental tracking", "Fixture development", "Sample preparation", "Technical documentation", "Carbon nanomaterials", "Electrification", "Powder processing", "Onshape" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210ec774d8ee00a0af992a", "title" : "Program Lead, gTech Users and Products", "industry" : "Technology", "salary" : { "min" : 175500.0, "max" : 245500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Program Manager in the Technology industry in Boulder, United States, adjusted for seniority and company size." }, "location" : "[Boulder, CO, USA, [2930 Pearl St, Boulder, CO 80301, USA], Boulder, 80301, CO, US]", "locations" : [ "[Boulder, CO, USA, [2930 Pearl St, Boulder, CO 80301, USA], Boulder, 80301, CO, US]", "[Atlanta, GA, USA, [Atlanta, GA, USA], Atlanta, null, GA, US]" ], "timestamp" : "2026-06-16T13:57:54.807", "fingerprint" : "fb64418bf8b4338c322d36f2722bd0b4cba9330c6f37a1c457cf5a62a6c8fa2d", "source" : "google", "language" : "en", "externalId" : "108944761699607238", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "summaryDescription" : "Program Lead, gTech Users and Products", "postedDate" : "2026-06-16T01:50:54.690", "createdAt" : "2026-06-16T01:50:54.690", "lastUpdated" : "2026-06-16T13:57:54.807", "ingestTimestamp" : "2026-06-16T01:50:54.690", "mongoId" : "6a210ec774d8ee00a0af992a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175500, "salaryAnnualMax" : 245500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "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" : "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" : "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" : "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" : "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" : "6a161fa658b93c861e91a836", "title" : "Monitoring and Evaluation Manager (M&E)", "company" : "New Incentives", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "NGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level M&E role in Healthcare in Northeast Nigeria, adjusted for seniority and industry." }, "location" : "Northeast, NG", "locations" : [ "Northeast", "NG" ], "timestamp" : "2026-06-15T05:27:27.441", "fingerprint" : "4e41d0cdf88e1e9f0bf59358ecbfc54977c11cc39dfc6dc27273e8f6e29b5d8d", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://new-incentives.breezy.hr/p/d8080b3598c1-monitoring-and-evaluation-manager-m-e", "externalId" : "d8080b3598c1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Nigeria", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Nigeria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Provide incentives to increase childhood vaccination rates, Save lives in the most cost-effective way", "outcomesObjectives" : "Increase childhood vaccination rates; Save lives cost-effectively", "rawDescription" : "Organization Overview: NI-ABAE is an evidence-based organization that aims to provide incentives to increase childhood vaccination rates and save lives in the most cost-effective way. While caregivers and infants remain our top priority, our operations are guided by accountability, integrity, and a", "summaryDescription" : "Monitoring and Evaluation Manager (M&E) at New Incentives. Provide incentives to increase childhood vaccination rates. Save lives in the most cost-effective way", "createdAt" : "2026-06-14T05:19:05.609", "lastUpdated" : "2026-06-15T05:27:27.441", "ingestTimestamp" : "2026-06-14T05:19:05.609", "mongoId" : "6a161fa658b93c861e91a836", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c64ca74d8ee00a08fbd82", "title" : "Performance Measurement and Evaluation Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level intern position in Long Island City, United States, with adjustments for industry and seniority." }, "location" : "Long Island City, NY", "locations" : [ "Long Island City, NY" ], "timestamp" : "2026-06-15T08:23:11.094", "fingerprint" : "a606163a290a0313632e38fa9d0ce3b7cd04f125e27888ad2ffad23240eda384", "source" : "jazzhr", "language" : "en", "externalId" : "kJZjnqD64H", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Island City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7455316,-73.9484995" } ], "locationText" : "Long Island City, New York, United States", "employmentType" : "INTERNSHIP", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Performance Measurement and Evaluation Intern", "createdAt" : "2026-06-14T00:10:08.150", "lastUpdated" : "2026-06-15T08:23:11.094", "ingestTimestamp" : "2026-06-14T00:10:08.150", "mongoId" : "6a2c64ca74d8ee00a08fbd82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "69fe94ff4c40e2acd1121a11", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-14T23:42:23.847", "fingerprint" : "2c30339883b805d7f9e6ca996ae5e09485462026977101760f9d9606de995203", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "externalId" : "2f655fcc-f1c8-4196-8559-1eb8f5c2a307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Data-driven decision making", "Statistical methods" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Software engineering, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies" ], "coreResponsibilities" : "Design and develop SPB Agent platform, Optimize for operation costs at scale, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Shape future of business customer connection, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect and build AI features", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI; Large Language Models; AI technologies; Advertising landscape; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "ai-technologies", "advertising-landscape", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI technologies", "Advertising landscape", "AI trust and safety" ], "innovationCreativity" : "Creative problem-solver; Innovators", "problemSolvingSkills" : "Creative problem-solver; Complex challenges", "qualificationsBasic" : "3+ years professional software development experience, 2+ years system design or architecture experience, Experience programming with at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science, Proven experience shipping Gen AI features at scale, Deep understanding of AI trust and safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop the SPB Agent platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands (SPB) Agent team, you will architect and build the next-generation AI features that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our SPB Agent team. The team owns SPB Agent, which integrates and powers reasoning behind agentic experiences in the Ads Console, Sales, and Seller Central. Examples of experiences that leverage the SPB Agent include but not limited to: 1) an AI Campaign Overview widget on an advertiser's Campaign Detail that dynamically adapts its narrative based on what the performance and campaign data Page 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales teams, grounded in each advertiser's stated objectives, product focus areas, and guardrails captured through their sales interaction Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Software engineering, Cloud technologies. Design and develop SPB Agent platform. Optimize for operation costs at scale", "postedDate" : "2026-06-13T05:34:20.315", "createdAt" : "2026-06-13T05:34:20.315", "lastUpdated" : "2026-06-14T23:42:23.847", "ingestTimestamp" : "2026-06-13T05:34:20.315", "mongoId" : "69fe94ff4c40e2acd1121a11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data-driven decision making", "Statistical methods", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies", "System design", "Architecture", "AI technologies", "Advertising landscape", "AI trust and safety" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "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" : "69164da670f0b99d586f327e", "title" : "Software Development Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:57:31.509", "fingerprint" : "62380f2d9cebb7ad6b296892feae2fe6bedcf0fe082d61c40d484c1fb36c4056", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122540/apply", "externalId" : "a29f43b2-4fa9-4cbc-bc06-aac7535830bf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, Gen AI", "professionalSkills" : [ "System design", "Roadmap planning", "Career development" ], "hardSkillsList" : [ "Software development", "AI technologies" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, Gen AI, Software development", "majorSkillsList" : [ "Machine Learning", "Gen AI", "Software development" ], "coreResponsibilities" : "Manage cross-functional team, Lead ML Engineers, Lead Software Engineers, Lead Applied Scientists, Develop engineering roadmaps, Run annual planning, Foster cross-team collaboration, Hire top talent, Develop top talent, Provide technical guidance, Provide career guidance, Stay informed about system designs, Bring insights to team", "teamCollaboration" : "Cross-functional team; Cross-team collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Advertising business; Generative AI", "domainList" : [ "advertising-business", "generative-ai" ], "domainSpecificKnowledge" : [ "Advertising business", "Generative AI" ], "communicationSkills" : "Technical designs; Product strategy", "innovationCreativity" : "Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 3+ years system design/architecture, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring/coaching engineers, Experience managing teams of engineers, Experience with AI/ML technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Software Development Manager, you will: * Directly manage and lead a cross-functional team of Machine Learning Engineers, Software Development Engineers and Applied Scientists. * Develop engineering roadmaps for SPB ads with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration for advertising applications. * Hire and develop top talent, provide technical and career development guidance to engineers within and across the organization. * Stay informed about recent system designs that are pertinent to the SPB advertising business and bring those insights with the team. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Gen AI, Software development. Manage cross-functional team. Lead ML Engineers", "postedDate" : "2026-06-12T23:41:22.380", "createdAt" : "2026-06-12T23:41:22.380", "lastUpdated" : "2026-06-15T00:57:31.509", "ingestTimestamp" : "2026-06-12T23:41:22.380", "mongoId" : "69164da670f0b99d586f327e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122540/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "AI technologies", "Leadership", "Machine Learning", "Gen AI", "System design", "Roadmap planning", "Career development", "Advertising business", "Generative AI" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69ce5e199bc74574cb674d4c", "title" : "Autonomous Hardware and Radio Technician", "company" : "IAMGOLD", "salary" : { "min" : 89000.0, "max" : 122400.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "06 - Cote Gold Mine Site", "locations" : [ "06 - Cote Gold Mine Site", "
06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. Repair wired/wireless communications", "createdAt" : "2026-06-14T00:42:33.594", "lastUpdated" : "2026-06-15T07:49:22.001", "ingestTimestamp" : "2026-06-14T00:42:33.594", "mongoId" : "69ce5e199bc74574cb674d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications", "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication", "Problem-solving", "Prioritization", "Technical learning", "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP", "Command for Haulage", "Cisco Wi-Fi" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903470f0b99d58087a7f", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:17:27.911", "fingerprint" : "5fd2d0da0c7f588f48a68b9c00d19940dd8d24874fcc07614c46c148c45535d4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136770/apply", "externalId" : "532bdb05-2271-4c29-8949-512084027c14", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI, ML, Generative AI, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution" ], "hardSkillsList" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Rational decision-making", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Tool improvement", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Team obsessed" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Optimize resource utilization, Optimize token consumption, Optimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Pioneer new approaches to natural language interactions, Shape the future of business connections, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Provide personalization experiences, Provide intelligent advertising experiences, Own foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain scalable APIs, Design orchestration layers, Maintain orchestration layers, Allow agents to connect reliably, Build durable agent-to-agent communication protocols, Build discovery protocols, Build negotiation protocols, Build task lifecycle management, Build agent management frameworks, Build state management frameworks, Persist context across workflows, Deliver streaming integration pipelines, Deliver event-driven integration pipelines, Support real-time customizations, Support integrations with 1P experiences, Own infrastructure governance layers, Implement standardized access-control frameworks, Implement data masking policies, Implement data retention policies, Implement rate-limiting, Implement audit logging, Implement safety guardrails, Ensure predictable agent behavior, Ensure compliant agent behavior, Invest in observability platforms, Optimize orchestration layers, Provide telemetry-driven insights, Extend platform to external developers, Extend platform to partners, Expose systems safely, Empower partners to create experiences, Inherit governance guarantees, Inherit security guarantees, Inherit scaling guarantees, Provide personalized insights, Provide guidance, Account for advertiser's product catalog, Account for performance metrics, Account for relevant signals, Tailor full page experience, Update individual widgets, Provide recommendations, Provide filtering capabilities, Provide AI companion experience, Provide interactive experience, Provide automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf of sellers", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions; Internal agentic applications; External agentic applications; First-party systems; Partner systems", "projectManagementSkills" : [ "Full software development life cycle" ], "domainKnowledge" : "Generative AI; Large Language Models; Distributed systems; Cloud technologies; Advertising lifecycle; AI trust and safety; Agentic experiences; Agent communication protocols; Agent state management; Event-driven architectures; Infrastructure governance; Data masking; Rate-limiting; Audit logging; Safety guardrails; Observability platforms; Personalized advertising; Advertiser catalog; Performance metrics", "domainList" : [ "generative-ai", "large-language-models", "distributed-systems", "cloud-technologies", "advertising-lifecycle", "ai-trust-and-safety", "agentic-experiences", "agent-communication-protocols", "agent-state-management", "event-driven-architectures", "infrastructure-governance", "data-masking", "rate-limiting", "audit-logging", "safety-guardrails", "observability-platforms", "personalized-advertising", "advertiser-catalog", "performance-metrics" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "Advertising lifecycle", "AI trust and safety", "Agentic experiences", "Agent communication protocols", "Agent state management", "Event-driven architectures", "Infrastructure governance", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative atmosphere; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making; Explore new problem spaces", "outcomesObjectives" : "Provide consistent outcomes; Provide well-reasoned outcomes; Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "Software engineering skills, Experience in distributed systems, Experience in cloud technologies, Creative problem-solver, Track record of delivering innovative solutions, Experience programming with at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle, Coding standards experience, Code reviews experience, Source control management experience, Build processes experience, Testing experience, Operations experience, Bachelor's degree in computer science, Proven experience shipping Gen AI-powered features at scale, Deep understanding of AI trust and safety considerations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Distributed systems, Cloud technologies. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T01:46:36.935", "createdAt" : "2026-06-13T01:46:36.935", "lastUpdated" : "2026-06-15T01:17:27.911", "ingestTimestamp" : "2026-06-13T01:46:36.935", "mongoId" : "6931903470f0b99d58087a7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136770/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving", "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution", "Full software development life cycle", "Advertising lifecycle", "AI trust and safety", "Agent communication protocols", "Event-driven architectures", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "skillCount" : 54, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2c6b3874d8ee00a0910c4c", "title" : "Design Engineer (Aerospace and Defense Products)", "company" : "Freeform", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Design Engineer in El Segundo, United States, adjusted for the Aerospace industry." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-16T06:18:38.070", "fingerprint" : "5960d17a556bf7ab39b4cdfd4ef976466b221f45528eab183740609142888412", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freeformfuturecorp/jobs/7770303003", "externalId" : "7770303003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "rawDescription" : "DESIGN ENGINEER (AEROSPACE AND DEFENSE PRODUCTS) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. Freeform is hiring a Design Engineer focused on aerospace employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Design Engineer (Aerospace and Defense Products) at Freeform", "postedDate" : "2026-06-14T20:03:59.249", "createdAt" : "2026-06-14T20:03:59.249", "lastUpdated" : "2026-06-16T06:18:38.070", "ingestTimestamp" : "2026-06-14T20:03:59.249", "mongoId" : "6a2c6b3874d8ee00a0910c4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066e8f292fd229cfb6da1", "title" : "Director of Warehouse and Distribution", "company" : "Kent Outdoors", "industry" : "Logistics", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Warehouse and Distribution in Pooler, United States, adjusted for industry and company size." }, "location" : "Pooler, GA", "locations" : [ "Pooler", "GA" ], "timestamp" : "2026-06-16T08:47:19.562", "fingerprint" : "6e0a38240362cdb94a72d33e88bd9ee05626a46b6f45d5f5e84d66d818c2bbb5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://kentoutdoors.com/careers?gh_jid=5263338008", "externalId" : "5263338008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pooler", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.1158983,-81.2495131" } ], "locationText" : "Pooler, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "technicalSkills" : "WMS software", "professionalSkills" : [ "Warehouse management", "Distribution management", "Inventory control", "Logistics operations", "Team leadership", "Process improvement", "Vendor management", "Budget management", "Performance metrics" ], "hardSkillsList" : [ "Warehouse operations", "Distribution operations", "Inventory management", "Logistics planning", "Budgeting", "Performance analysis" ], "hardSkills" : [ { "name" : "Warehouse operations", "level" : "intermediate" }, { "name" : "Distribution operations", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Logistics planning", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Warehouse operations, Distribution management, Inventory control", "majorSkillsList" : [ "Warehouse operations", "Distribution management", "Inventory control" ], "coreResponsibilities" : "Oversee daily warehouse operations, Manage inventory levels and accuracy, Ensure efficient distribution processes, Lead and develop warehouse staff, Implement and maintain warehouse safety standards, Manage warehouse budget and expenses, Optimize warehouse layout and workflow, Collaborate with logistics and supply chain teams, Monitor and report on key performance indicators, Manage relationships with vendors and carriers, Ensure compliance with regulations", "teamCollaboration" : "Logistics teams; Supply chain teams; Warehouse staff", "domainKnowledge" : "Warehouse operations; Distribution logistics; Inventory management systems", "domainList" : [ "warehouse-operations", "distribution-logistics", "inventory-management-systems" ], "domainSpecificKnowledge" : [ "Warehouse operations", "Distribution logistics", "Inventory management systems" ], "toolProficiency" : [ "WMS software" ], "communicationSkills" : "Performance reporting; Vendor communication", "documentationSkills" : "Safety procedures; Process documentation", "innovationCreativity" : "Process optimization", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Maintain inventory accuracy; Improve operational efficiency; Reduce distribution costs; Ensure timely order fulfillment; Enhance warehouse safety", "qualificationsBasic" : "5+ years of experience in warehouse operations, 3+ years of experience in a management role, Experience with WMS software", "qualificationsPreferred" : "Bachelor's degree in Supply Chain Management or related field, Experience with Lean or Six Sigma methodologies", "workSiteFlexibility" : "Onsite", "rawDescription" : "For over 50 years KENT OUTDOORS has been the ultimate destination for outdoor enthusiasts, offering a curated collection of industry-leading brands driven by the pure pursuit of adventure. KENT Outdoors is a collection of brands all obsessively focused on building the most innovative and reliable equipment for use in our most revered natural playgrounds. We relentlessly dream, build, and offer products that empower the very best days outside. We’re a collection of outdoor fanatics, product geeks, marketing mavens, and entrepreneurs all focused on pushing through boundaries, both on land, and in the water. Holding true to our roots while evolving for the future, the family of KENT brands today includes Absolute Outdoors, Arctic Shield, Aquaglide, Arbor Snowboards, Barefoot International, BOTE, Connelly, FatSac, Freedom Foil, Full Throttle, HO Sports, Hyperlite, KENT, Liquid Force, Margaritaville, O’Brien, and Onyx. Your Impact The Director of Warehouse and Distribution is responsible for management of the new Pooler, GA facility (170,000 sq. ft. building, with 20 team members) and all aspects of distribution within the facilities. This role will develop and implement strategies for improving Key Performance Indicators including shrink, incident rates, overtime, pick rates, order accuracy, and customer satisfaction. The Director will be an expert in Safety, Continuous Improvement, and Warehouse Operations. What You’ll Do Maintains inbound receiving process while focusing on maintaining or improving container receiving times. Controls inventory levels by managing a robust cycle count process Complies with federal, state, and local warehousing, material handling, and shipping requirements. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Implementing and Managing the Safety Program Maintains physical condition of warehouse by planning and implementing new design layouts to improve efficiency Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Completes warehouse operational requirements by scheduling and assigning employees Maintains warehouse staff by recruiting, selecting, orienting, and training employees. Maintaining a close relationship with local staffing agencies will be important. Maintains warehouse staff job results by coaching, counseling, and disciplining employees Maintains professional and technical knowledge by attending educational workshops Contributes to team effort by accomplishing related results as needed. Monitor, manage, and communicate key KPI’s across all phases of operations Maintain a relationship with local law enforcement and fire departments and ensure our facility is up to code This role will be the point of contact for anything related to managing the facility. This included, fire department, police department, security system, inbound and outbound freight companies, and more. What You’ve Accomplished Proven work experience as a Warehouse Manager or Director of Warehousing is a must have. Expertise in creating warehouse management procedures and best practices Proven ability to implement process improvement initiatives Strong knowledge of warehousing Key Performance Indicators (KPIs) Hands on experience with warehouse management software and databases Leadership skills and ability manage staff Strong decision making and problem-solving skills Excellent communication skills Experience implementing or managing a safety program is required Continuous Improvement Experience is preferred Bachelor Degree is preferred How You Thrive You go “all out.”  You tend to approach everything you do with velocity.  From your next exhilarating outdoor adventure to scaling meaningful peaks at work, you act with speed, direction, ethics, and forethought. Your efficiency is rooted in the knowledge that resources are not infinite. You are goal-oriented and focused on outcomes. When you see a challenge or obstacle to overcome, you jump in collaboratively to find a solution; team achievements should be celebrated more than individual performance. You are compelled to share your perspective because it is rooted in experience and synthesis thinking - you know that healthy debate yields better decisions. You are humble despite your impressive past accomplishments. Your communication style is honest and forthright, yet empathetic, with everyone.  KENT Outdoors is proud to be an Equal Opportunity Employer. ", "summaryDescription" : "Director of Warehouse and Distribution at Kent Outdoors. Skills: Warehouse operations, Distribution management, Inventory control. Oversee daily warehouse operations. Manage inventory levels and accuracy", "postedDate" : "2026-06-15T23:28:44.606", "createdAt" : "2026-06-15T23:28:44.606", "lastUpdated" : "2026-06-16T08:47:19.562", "ingestTimestamp" : "2026-06-15T23:28:44.606", "mongoId" : "6a3066e8f292fd229cfb6da1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Warehouse operations", "Distribution operations", "Inventory management", "Logistics planning", "Budgeting", "Performance analysis", "Distribution management", "Inventory control", "Warehouse management", "Logistics operations", "Team leadership", "Process improvement", "Vendor management", "Budget management", "Performance metrics", "Distribution logistics", "Inventory management systems", "WMS software" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.98 }, { "id" : "69164db670f0b99d586f38d3", "title" : "Sr. Software Dev. Engineer, Sponsored Products and Brands, Sposored Products", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:41:45.310", "fingerprint" : "6edd7d43ad88a5b48937284be0741ebcc8b1eac110522d1feda60929c9ff2ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120024/apply", "externalId" : "eb82455b-7df0-4e13-9778-cd2d0e7dc1c4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML", "professionalSkills" : [ "Computer science fundamentals", "System design", "Scalable systems", "High-performance systems", "Reliable systems", "Maintainable systems", "Customer-focused mindset", "Iterative approach", "Software development", "Distributed frameworks", "Advertising optimization", "Ad campaign optimization", "Real-time optimization", "Attribution", "Reporting", "Analytics", "Billing" ], "hardSkillsList" : [ "Software development", "System design", "Architecture design", "Problem solving" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, AI technologies, Scalable systems, High-performance systems", "majorSkillsList" : [ "Generative AI", "AI technologies", "Scalable systems", "High-performance systems" ], "coreResponsibilities" : "Design scalable high-performance systems, Develop scalable high-performance systems, Build services handling billions requests, Maintain response latencies, Meet SLA requirements, Process advertising signals, Orchestrate event enrichments, Vend ad event data", "teamCollaboration" : "External teams; Internal teams", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; Product catalogs; Massive datasets; Advertising lifecycle; Performance advertising; Sponsored Brands Video; Sponsored Display; Ad events; Robotic traffic detection; Geotagging; Event cardinality; Ad campaign optimization; Real-time ad campaigns; Attribution; Reporting; Analytics; Billing", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "product-catalogs", "massive-datasets", "advertising-lifecycle", "performance-advertising", "sponsored-brands-video", "sponsored-display", "ad-events", "robotic-traffic-detection", "geotagging", "event-cardinality", "ad-campaign-optimization", "real-time-ad-campaigns", "attribution", "reporting", "analytics", "billing" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Product catalogs", "Massive datasets", "Advertising lifecycle", "Performance advertising", "Sponsored Brands Video", "Sponsored Display", "Ad events", "Robotic traffic detection", "Geotagging", "Event cardinality", "Ad campaign optimization", "Real-time ad campaigns", "Attribution", "Reporting", "Analytics", "Billing" ], "innovationCreativity" : "Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with artificial intelligence; Developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "5+ years non-internship professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with AI/ML technologies", "qualificationsPreferred" : "5+ years full software development life cycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks. About the team The Sponsored Products Marketplace AdClicks team manages the infrastructure that processes trillions of ads every day. We seek a Sr. Development Engineer to lead a large scale and highly available service that centrally processes advertising signals (e.g. ad impressions, views, clicks, video unmutes, etc) for numerous performance advertising businesses (e.g. Sponsored Products, Sponsored Brands, Sponsored Brands Video, and Sponsored Display) . We join millions of ad events per second from various sources, orchestrates business-specific event enrichments (e.g. robotic traffic detection, business validation of chargeable events, geotagging, event cardinality, etc), and vends out authoritative ad event data to support real-time ad campaign optimizations, attribution, reporting, analytics, and billing. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with AI/ML technologies Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Software Dev. Engineer, Sponsored Products and Brands, Sposored Products at Amazon.com Services LLC. Skills: Generative AI, AI technologies, Scalable systems, High-performance systems. Design scalable high-performance systems. Develop scalable high-performance systems", "postedDate" : "2026-06-12T23:07:29.938", "createdAt" : "2026-06-12T23:07:29.938", "lastUpdated" : "2026-06-15T00:41:45.310", "ingestTimestamp" : "2026-06-12T23:07:29.938", "mongoId" : "69164db670f0b99d586f38d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120024/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture design", "Problem solving", "Leadership", "Generative AI", "AI technologies", "Scalable systems", "High-performance systems", "Computer science fundamentals", "Reliable systems", "Maintainable systems", "Customer-focused mindset", "Iterative approach", "Distributed frameworks", "Advertising optimization", "Ad campaign optimization", "Real-time optimization", "Attribution", "Reporting", "Analytics", "Billing", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Product catalogs", "Massive datasets", "Advertising lifecycle", "Performance advertising", "Sponsored Brands Video", "Sponsored Display", "Ad events", "Robotic traffic detection", "Geotagging", "Event cardinality", "Real-time ad campaigns" ], "skillCount" : 36, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a308f14f292fd229c0a7f04", "title" : "Associate General Counsel (Product and Research)", "company" : "Deepgram", "industry" : "G&A", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "USA | Remote", "locations" : [ "USA | Remote" ], "timestamp" : "2026-06-16T11:03:47.611", "fingerprint" : "f69243e86bbaa7130b46cd57747b49690135a9aeeb5b693933948c3c2ef1262b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/deepgram/c819e26b-28a4-4373-b50f-272224e36f80/application", "externalId" : "c819e26b-28a4-4373-b50f-272224e36f80", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements" ], "majorSkills" : "Legal compliance, Product law, Research law", "majorSkillsList" : [ "Legal compliance", "Product law", "Research law" ], "coreResponsibilities" : "Provide legal counsel, Support product development, Advise on research initiatives, Ensure regulatory compliance, Manage legal risks, Draft and review agreements, Conduct legal research, Assist with litigation", "teamCollaboration" : "Product teams; Research teams; Engineering teams; Cross-functional teams", "domainKnowledge" : "Product law; Research law; Data privacy; Intellectual property; Contract law; Regulatory compliance", "domainList" : [ "product-law", "research-law", "data-privacy", "intellectual-property", "contract-law", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Product law", "Research law", "Data privacy", "Intellectual property", "Contract law", "Regulatory compliance" ], "communicationSkills" : "Legal advice; Contract negotiation", "documentationSkills" : "Legal documents; Contracts", "problemSolvingSkills" : "Legal problem solving", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. OPPORTUNITY We're looking for an exceptional lawyer to join our lean, high-impact legal team and lead legal work across our models and the products built on them. This role is for someone who thrives at the intersection of law and model development — a builder with sharp instincts and sound judgment who is steady under ambiguity and fluent in product. Our legal team has a real seat at the table. You'll partner with our research and data teams on the novel legal questions inside model development, and advise our product teams on the experiences we put in front of users. You'll help Deepgram move at the speed of an ambitious voice AI company while keeping pace with the AI legal frameworks coming online internationally. Many of the questions in our space don't have settled answers yet. That's the best part of the job. You'll think them through from first principles, design the frameworks that let us scale, and help Deepgram continue to earn its place as the trusted leader in voice AI. This role is ideal for someone with genuine conviction that voice is the most consequential interface with AI, and who wants to spend the next phase of their career on the legal questions that will define it. You'll be the third lawyer on our team, reporting directly to our General Counsel and helping establish a legal function that scales with a company on a steep trajectory, using AI as your default mode of working to set the standard for what AI-native legal work looks like. What You’ll Do - Be the go-to counsel for our data and research teams on the legal questions inside model development, and design the frameworks that let research move fast with confidence - Partner with our product teams to ship products and features that delight our users. - Draft and review the consumer-facing terms, policies, disclosures, and marketing that go with our products — written for customers, not lawyers - Continue building out our privacy program — and tell its story to customers — to deepen customer trust in our products - Stay ahead of the AI legal frameworks developing internationally, translate developments into principles and policies our teams can act on, and help Deepgram develop a clear point of view on responsible AI development - Develop deep expertise across the legal questions defining AI today, and help advance how our company, and the broader field, thinks about them - Build the AI-native legal function at Deepgram with workflows and systems that scale our team’s impact You'll Love This Role If You - Are passionate about AI and the ability to work alongside cutting-edge researchers and engineering teams - Get energized by being the first — building systems from scratch, establishing foundational practices, and turning novel legal questions into ones with answers - Are very practical in addressing legal issues and allergic to unnecessary friction - Have an abiding spirit of idealism about your chosen profession — you're not just answering legal questions, you're building something that matters - Have a point of view on what good lawyering looks like and a healthy sense of humor about everything else It's Important To Us That You Have - JD from a U.S. accredited law school and 7–15 years of experience in legal practice (or more), in-house, at a firm, or both - Demonstrated experience counseling product, research, or engineering teams on the legal questions that come up in how AI gets built and deployed - Fluency in the issues that matter most to us: privacy, IP, data licensing, consumer protection, and the international AI regulatory landscape. Depth in some, excited to learn the rest - Recognize that law is about the grey areas, and are comfortable living in them, while giving clear and actionable advice - An AI-native legal practice — workflows you've built into your own work, not just tools you've used - Exceptional writing — precise, plain, and compelling It Would Be Great If You Had - Hands-on experience at a foundation model company or AI research lab — you've seen how legal questions actually arise inside model development - Depth in one or more emerging AI regulatory regimes (EU AI Act, US states, UK, APAC) We read cover letters! If you want to stand out: Tell us about a novel legal question you worked through without a playbook — how you reasoned through it and where you landed. BENEFITS & PERKS* HOLISTIC HEALTH - Medical, dental, vision benefits - Annual wellness stipend - Mental health support - Life, STD, LTD Income Insurance Plans WORK/LIFE BLEND - Unlimited PTO - Parental leave - Flexible schedule - 12 Paid US company holidays - Quarterly personal productivity stipend - One-time stipend for home office upgrades - 401(k) plan with company match - Tax Savings Programs CONTINUOUS LEARNING - Learning / Education stipend - Participation in talks and conferences - Employee Resource Groups - AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.", "summaryDescription" : "Associate General Counsel (Product and Research) at Deepgram. Skills: Legal compliance, Product law, Research law. Provide legal counsel. Support product development", "createdAt" : "2026-06-16T02:00:20.357", "lastUpdated" : "2026-06-16T11:03:47.611", "ingestTimestamp" : "2026-06-16T02:00:20.357", "mongoId" : "6a308f14f292fd229c0a7f04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Legal compliance", "Product law", "Research law", "Legal analysis", "Risk management", "Compliance oversight", "Regulatory requirements", "Data privacy", "Intellectual property", "Contract law", "Regulatory compliance" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e5ce260f92cbf8ec2a", "title" : "Software Development Engineer II, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:49:57.688", "fingerprint" : "998a8e82e738cc5fdcd1fe085c786e3abafe973cffee8d09e0a8a51ea55283f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099210/apply", "externalId" : "aa933906-d97c-45a8-b5ad-4bfe2ff21064", "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" : "Generative AI, AI", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "AI solution development" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "AI solution development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Advertising technology", "majorSkillsList" : [ "Generative AI", "Advertising technology" ], "coreResponsibilities" : "Lead feature development, Architect scalable solutions, Integrate ad experiences, Mentor junior developers", "teamCollaboration" : "Cross-functional teams; Work with page owners", "domainKnowledge" : "Advertising landscape; Advertising lifecycle; Video content; Video playback", "domainList" : [ "advertising-landscape", "advertising-lifecycle", "video-content", "video-playback" ], "domainSpecificKnowledge" : [ "Advertising landscape", "Advertising lifecycle", "Video content", "Video playback" ], "innovationCreativity" : "Innovative features; Re-inventing advertising experiences", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, Experience programming one language, Demonstrated AI solution development", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science, Experience rendering video content, Experience optimizing video playback", "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. * 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 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: - 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 - Demonstrated track record of innovative AI solution development. 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 rendering and serving video content and optimizing video playback at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer II, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Advertising technology. Lead feature development. Architect scalable solutions", "postedDate" : "2026-06-13T08:35:54.482", "createdAt" : "2026-06-13T08:35:54.482", "lastUpdated" : "2026-06-15T02:49:57.688", "ingestTimestamp" : "2026-06-13T08:35:54.482", "mongoId" : "68e0a7e5ce260f92cbf8ec2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099210/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI solution development", "Mentoring", "Generative AI", "Advertising technology", "System design", "Architecture", "Advertising landscape", "Advertising lifecycle", "Video content", "Video playback" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "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" : "6a306ca6f292fd229cfd5243", "title" : "Director of Health and Wellness", "company" : "Senior Lifestyle", "industry" : "Hospital And Health Care", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Health and Wellness in North Wales, United States, adjusted for industry and company size." }, "location" : "North Wales, PA, United States", "locations" : [ "North Wales", "PA", "United States" ], "certifications" : [ "LPN/LVN or RN license" ], "timestamp" : "2026-06-16T10:05:20.867", "fingerprint" : "84387643cb52efec6e1456a0bbf8d465f79fd2846021539b8cecd8378852ac4e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SeniorLifestyle1/744000132220246-director-of-health-and-wellness", "externalId" : "744000132220246", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Wales", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.2109404,-75.2782317" } ], "locationText" : "North Wales, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "professionalSkills" : [ "Clinical budget management", "Resident assessment", "Care planning", "Staff training", "Regulatory compliance", "Documentation systems management" ], "hardSkillsList" : [ "Clinical documentation", "Budget management", "Staff scheduling", "Resident assessment", "Care plan development", "Staff training programs" ], "hardSkills" : [ { "name" : "Clinical documentation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Staff scheduling", "level" : "intermediate" }, { "name" : "Resident assessment", "level" : "intermediate" }, { "name" : "Care plan development", "level" : "intermediate" }, { "name" : "Staff training programs", "level" : "intermediate" } ], "majorSkills" : "Resident care standards, Regulatory compliance", "majorSkillsList" : [ "Resident care standards", "Regulatory compliance" ], "coreResponsibilities" : "Direct delivery of care, Coordinate family/resident care conferences, Serve as liaison between residents, families, and staff, Ensure residents are at appropriate levels of care, Manage clinical budget line items, Monitor documentation systems for timeframes, Write and review resident assessments/evaluations, Review resident care-plans, Assess potential residents for Assisted Living level, Perform professional and timely assessments, Schedule and conduct new resident orientation, Provide, plan, schedule, and monitor staff training, Manage and coordinate nursing and assisted living staff, Communicate resident health and safety information, Oversee staff schedules and daily assignments, Maintain a safe working environment, Ensure compliance with state regulatory requirements, Complete and file concern and incident reports, Conduct follow-up on incident reports, Assist in mock surveys, Perform other duties as assigned", "teamCollaboration" : "Liaison between residents, families, and staff; Work with residents, families, and staff; Communicate with staff and families", "domainKnowledge" : "Senior living resident care; Mandatory reporting to State", "domainList" : [ "senior-living-resident-care", "mandatory-reporting-to-state" ], "domainSpecificKnowledge" : [ "Senior living resident care", "Mandatory reporting to State" ], "documentationSkills" : "Clinical documentation; Resident assessments; Care-plans; Incident reports", "continuousLearning" : "Maintain CEU requirements; Attend required training; Attend in-service training; Attend staff meetings", "specialRequirements" : "24/7 on-call clinical support, Clean driving record", "qualificationsBasic" : "LPN/LVN or RN license required, Managed a clinical team, Experience with EMR/EHR systems, Valid driver's license", "qualificationsPreferred" : "Managed and developed complex teams, Hospital setting experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have HEART? We are looking for individuals who can embrace our mission to purposely brighten and enrich the lives of those we serve with HEART; Hospitality, Excellence, Appreciation, Respect & Teamwork. This position is responsible for directing the Health and Wellness Program and ensuring that Senior Lifestyle standards and state requirements for resident care are met. The Director of Health and Wellness will direct staff, ensure regulatory compliance and be responsible for the management of the clinical budget. * Directly oversee the delivery of care to Assisted Living residents to ensure that emotional, physical, psychological and safety needs are met through all program services and activities. * Coordinate, along with the Executive Director, family/resident care conferences and serve as a direct liaison between residents, families, and staff. Work with residents, families, and other staff to ensure that residents are at appropriate levels of care. * Manage labor costs, supplies, and other line items in clinical budget. * Monitor documentation systems to ensure that all regulatory timeframes for review of assessments and service plans are met and that resident needs are met. Write and review residents’ assessments/evaluations and care-plans with appropriate staff. * Assess/evaluate potential residents for Assisted Living level of care. This may involve assessing/evaluating potential residents in their home or another healthcare setting; must be able to drive to location and perform assessment/evaluation professionally and timely if necessary. Schedule and conduct new resident orientation for all Assisted Living Residents. * Provide, plan, schedule, and monitor staff training programs and in-services for the Assisted Living staff including statutory or regulatory required training. Attend all required training, in-service, and staff meetings. * Manage and coordinate the work of all nursing and other assisted living staff, communicating pertinent resident health and safety information. This includes overseeing and/or completing staff schedules monthly and daily assignments. * Strive to maintain a safe working environment through the prevention of accidents, the preservation of equipment, and the achievement of safe working practices. * Ensure compliance with all state regulatory requirements including mandatory reporting to State. Ensure that all concern and incident reports are completed, filed and that follow-up is conducted appropriately. * Assist and/or perform in mock surveys. * Maintain a positive and professional demeanor toward residents, visitors, families, and co-workers while adhering to all policies, standards and procedures of Company. * Require 24/7 on-call clinical support. * Perform other duties as assigned. ## Qualifications * Managed a clinical team in a senior living or hospital setting. * LPN/ LVN or RN license required. * Must maintain CEU and other state requirements for the position. * Able to manage multiple high-level tasks such as scheduling staff; scheduling care conferences and maintaining communication with staff and families in a professional, positive manner. * Managed and developed complex teams. * Experience with EMR/EHR clinical documentation systems. * Exude energy, passion with a hospitality-focused mindset. * A passion for serving seniors and growing teams. * Always maintain a positive and friendly demeanor toward the residents and your co-workers. * Technology savvy and ability to adapt to a fast-paced environment. * Self-awareness organized and time management skills. * Must have a valid driver’s license with a clean driving record. ## Additional Information Senior Lifestyle offers a comprehensive benefits plan to eligible team members including health, dental, vision, retirement benefits, short-term disability, long-term disability, and paid time off. All Senior Lifestyle positions are eligible to use DailyPay, an application that allows you to access your earned but unpaid wages before your next payday. Senior Lifestyle requires that all employees provide proof of COVID-19 vaccination unless exempt due to medical, religious, or personal beliefs. Government requirements or exclusions may apply.", "summaryDescription" : "Director of Health and Wellness at Senior Lifestyle. Skills: Resident care standards, Regulatory compliance. Direct delivery of care. Coordinate family/resident care conferences", "postedDate" : "2026-06-15T14:37:49.000", "createdAt" : "2026-06-16T00:14:48.543", "lastUpdated" : "2026-06-16T10:05:20.867", "ingestTimestamp" : "2026-06-16T00:14:48.543", "mongoId" : "6a306ca6f292fd229cfd5243", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Clinical documentation", "Budget management", "Staff scheduling", "Resident assessment", "Care plan development", "Staff training programs", "Resident care standards", "Regulatory compliance", "Clinical budget management", "Care planning", "Staff training", "Documentation systems management", "Senior living resident care", "Mandatory reporting to State", "LPN/LVN or RN license" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305568f292fd229cf1f3da", "title" : "Director of Health and Wellness", "company" : "Senior Lifestyle", "industry" : "Hospital And Health Care", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Health and Wellness in North Wales, United States, adjusted for industry and company size." }, "location" : "North Wales, PA, United States", "locations" : [ "North Wales", "PA", "United States" ], "certifications" : [ "LPN/LVN license", "RN license", "CEU requirements" ], "timestamp" : "2026-06-16T10:03:25.749", "fingerprint" : "42a02e3177205f93f6770a75e1f45924a0b68fe57bdfa9192a2b4595721ca0ea", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SeniorLifestyle1/744000132220246-director-of-health-and-wellness", "externalId" : "744000132220246", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Wales", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.2109404,-75.2782317" } ], "locationText" : "North Wales, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "technicalSkills" : "EMR, EHR", "professionalSkills" : [ "Clinical budget management", "Resident assessment", "Care plan development", "Regulatory compliance", "Incident reporting", "Mock surveys" ], "hardSkillsList" : [ "Clinical documentation", "Care coordination", "Budget management", "Staff scheduling" ], "hardSkills" : [ { "name" : "Clinical documentation", "level" : "intermediate" }, { "name" : "Care coordination", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Staff scheduling", "level" : "intermediate" } ], "majorSkills" : "Resident care standards, Clinical budget management", "majorSkillsList" : [ "Resident care standards", "Clinical budget management" ], "coreResponsibilities" : "Direct delivery of care, Coordinate family/resident care conferences, Serve as liaison between residents, families, staff, Ensure residents are at appropriate care levels, Manage clinical budget line items, Monitor documentation systems, Review assessments and service plans, Write resident assessments/evaluations, Review resident care-plans, Assess potential residents for Assisted Living, Perform resident assessments professionally and timely, Schedule new resident orientation, Conduct new resident orientation, Plan staff training programs, Schedule staff training programs, Monitor staff training programs, Provide statutory or regulatory training, Attend required training, Attend in-service meetings, Attend staff meetings, Manage nursing staff work, Coordinate assisted living staff work, Communicate resident health and safety information, Oversee staff schedules, Complete staff schedules, Assign daily tasks, Maintain safe working environment, Prevent accidents, Preserve equipment, Achieve safe working practices, Ensure compliance with state regulatory requirements, Report to State, Complete concern reports, Complete incident reports, File concern reports, File incident reports, Conduct follow-up on reports, Perform mock surveys, Adhere to all policies, Adhere to all standards, Adhere to all procedures", "teamCollaboration" : "Liaison between residents, families, staff; Coordinate with Executive Director; Work with other staff", "domainKnowledge" : "Senior living resident care; State regulatory requirements", "domainList" : [ "senior-living-resident-care", "state-regulatory-requirements" ], "domainSpecificKnowledge" : [ "Senior living resident care", "State regulatory requirements" ], "documentationSkills" : "Clinical documentation; Resident assessments; Service plans; Care-plans; Incident reports", "specialRequirements" : "24/7 on-call clinical support, Valid driver's license, Clean driving record, COVID-19 vaccination proof", "qualificationsBasic" : "LPN/LVN or RN license required, Managed a clinical team, Managed and developed complex teams, Experience with EMR/EHR systems, Valid driver's license", "qualificationsPreferred" : "Experience in a senior living setting, Hospital setting experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you have HEART? We are looking for individuals who can embrace our mission to purposely brighten and enrich the lives of those we serve with HEART; Hospitality, Excellence, Appreciation, Respect & Teamwork. This position is responsible for directing the Health and Wellness Program and ensuring that Senior Lifestyle standards and state requirements for resident care are met. The Director of Health and Wellness will direct staff, ensure regulatory compliance and be responsible for the management of the clinical budget. * Directly oversee the delivery of care to Assisted Living residents to ensure that emotional, physical, psychological and safety needs are met through all program services and activities. * Coordinate, along with the Executive Director, family/resident care conferences and serve as a direct liaison between residents, families, and staff. Work with residents, families, and other staff to ensure that residents are at appropriate levels of care. * Manage labor costs, supplies, and other line items in clinical budget. * Monitor documentation systems to ensure that all regulatory timeframes for review of assessments and service plans are met and that resident needs are met. Write and review residents’ assessments/evaluations and care-plans with appropriate staff. * Assess/evaluate potential residents for Assisted Living level of care. This may involve assessing/evaluating potential residents in their home or another healthcare setting; must be able to drive to location and perform assessment/evaluation professionally and timely if necessary. Schedule and conduct new resident orientation for all Assisted Living Residents. * Provide, plan, schedule, and monitor staff training programs and in-services for the Assisted Living staff including statutory or regulatory required training. Attend all required training, in-service, and staff meetings. * Manage and coordinate the work of all nursing and other assisted living staff, communicating pertinent resident health and safety information. This includes overseeing and/or completing staff schedules monthly and daily assignments. * Strive to maintain a safe working environment through the prevention of accidents, the preservation of equipment, and the achievement of safe working practices. * Ensure compliance with all state regulatory requirements including mandatory reporting to State. Ensure that all concern and incident reports are completed, filed and that follow-up is conducted appropriately. * Assist and/or perform in mock surveys. * Maintain a positive and professional demeanor toward residents, visitors, families, and co-workers while adhering to all policies, standards and procedures of Company. * Require 24/7 on-call clinical support. * Perform other duties as assigned. ## Qualifications * Managed a clinical team in a senior living or hospital setting. * LPN/ LVN or RN license required. * Must maintain CEU and other state requirements for the position. * Able to manage multiple high-level tasks such as scheduling staff; scheduling care conferences and maintaining communication with staff and families in a professional, positive manner. * Managed and developed complex teams. * Experience with EMR/EHR clinical documentation systems. * Exude energy, passion with a hospitality-focused mindset. * A passion for serving seniors and growing teams. * Always maintain a positive and friendly demeanor toward the residents and your co-workers. * Technology savvy and ability to adapt to a fast-paced environment. * Self-awareness organized and time management skills. * Must have a valid driver’s license with a clean driving record. ## Additional Information Senior Lifestyle offers a comprehensive benefits plan to eligible team members including health, dental, vision, retirement benefits, short-term disability, long-term disability, and paid time off. All Senior Lifestyle positions are eligible to use DailyPay, an application that allows you to access your earned but unpaid wages before your next payday. Senior Lifestyle requires that all employees provide proof of COVID-19 vaccination unless exempt due to medical, religious, or personal beliefs. Government requirements or exclusions may apply.", "summaryDescription" : "Director of Health and Wellness at Senior Lifestyle. Skills: Resident care standards, Clinical budget management. Direct delivery of care. Coordinate family/resident care conferences", "postedDate" : "2026-06-15T14:37:49.000", "createdAt" : "2026-06-15T23:44:24.094", "lastUpdated" : "2026-06-16T10:03:25.749", "ingestTimestamp" : "2026-06-15T23:44:24.094", "mongoId" : "6a305568f292fd229cf1f3da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Clinical documentation", "Care coordination", "Budget management", "Staff scheduling", "Resident care standards", "Clinical budget management", "Resident assessment", "Care plan development", "Regulatory compliance", "Incident reporting", "Mock surveys", "Senior living resident care", "State regulatory requirements", "LPN/LVN license", "RN license", "CEU requirements" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306d6ef292fd229cfd8878", "title" : "Professor of Counselling and Head of Discipline (Art Therapy and Counselling)", "company" : "Western Sydney University", "industry" : "Higher Education", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Professor in Education in Parramatta, Australia, adjusted for seniority and industry." }, "location" : "Parramatta, New South Wales, Australia", "locations" : [ "Parramatta", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T08:23:23.512", "fingerprint" : "26db2810d4c37f6f9aa5562b94f5b1d419e97b61c66bee4e6ad1ed26a51639aa", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternSydneyUniversity/6000000001155253-professor-of-counselling-and-head-of-discipline-art-therapy-and-counselling-", "externalId" : "6000000001155253", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Parramatta", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8139843,151.0026660" } ], "locationText" : "Parramatta, New South Wales, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "professionalSkills" : [ "Academic leadership", "Research leadership", "Teaching design", "Work-integrated learning" ], "hardSkillsList" : [ "Art therapy", "Counselling" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Art therapy", "level" : "intermediate" }, { "name" : "Counselling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Art Therapy, Counselling, Academic Leadership", "majorSkillsList" : [ "Art Therapy", "Counselling", "Academic Leadership" ], "coreResponsibilities" : "Shape the profile of Counselling, Strengthen the profile of Counselling, Support the art therapy discipline, Enhance the profile of art therapy", "teamCollaboration" : "Collaborative shaping", "domainKnowledge" : "Creative arts therapies; Person-centred counselling; Arts-in-health practice", "domainList" : [ "creative-arts-therapies", "person-centred-counselling", "arts-in-health-practice" ], "domainSpecificKnowledge" : [ "Creative arts therapies", "Person-centred counselling", "Arts-in-health practice" ], "innovationCreativity" : "Innovative training programs", "qualificationsBasic" : "PhD in a related discipline, Demonstrated excellence in teaching and learning design, Evidence of fostering educational excellence in others, Demonstrated experience in relationships with industry for research and teaching including work-integrated learning, Evidence of being role model for other academics seeking mentoring, guidance, advice and support, Proven leadership of research projects, Leadership of research teams, Success in attracting significant industry funding", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Opportunity [Western Sydney University](https://www.westernsydney.edu.au/) is a premier national and international destination for postgraduate clinical training and research studies in the fields of counselling, psychotherapy and creative arts therapies. Our experienced educators and emerging researchers have developed innovative training programs including a highly successful person-centred counselling program and an award-winning arts-led pedagogy for training art therapists and arts-in-health practitioners. We have written key texts that influence research, clinical education and professional practice, heightening discipline visibility for Arts Therapy and Counselling (ATC) within and beyond the University. Western Sydney University is seeking a Professor of Counselling with an outstanding record of academic leadership to join the Art Therapy and Counselling group within the School of Social Sciences. Beginning with a three year term as Head of Discipline, this is an opportunity to be a leader in collaboratively shaping and strengthening the profile of Counselling as an independent and growing discipline at a key moment of its professionalisation, and to collaboratively support the art therapy discipline to similarly enhance its profile. About You * A PhD in a related discipline. * Demonstrated excellence in teaching and learning design. * Evidence of fostering educational excellence in others. * Demonstrated experience in relationships with industry for research and teaching including work-integrated learning. * Evidence of being role model for other academics seeking mentoring, guidance, advice and support. * Proven leadership of research projects and leadership of research teams. * Success in attracting significant industry funding. Please refer to the [Position Description](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/687f73eddb0ab5ec2c02a323/a80bbdc9-7e22-4c54-9806-764ea3af19e0?r=s3-ap-southeast-2) for full details. Benefits We invest in the people who make our mission possible. Alongside a rewarding career, we offer a range of benefits designed to support your financial, personal and family wellbeing. * Financial benefits: Access to staff-only products and offers with selected banking partners, salary sacrifice options for onsite parking, and novated motor vehicle leasing. * Health and wellbeing support: Free Employee Assistance Program (EAP), complimentary annual flu vaccination, eligibility for Fitness Passport membership, and access to discounted private health cover. * Onsite childcare: Long day care and early learning services operate at our Campbelltown, Hawkesbury, Parramatta, and Penrith campuses. Staff may be eligible for discounted fees and salary packaging, with places subject to centre capacity. Application Details Position Enquiries: Direct to Professor Jason Pandya-Wood via J.Pandya-Wood@westernsydney.edu.au Please include the job reference code REF1441T Closing Date: 11:59pm, Friday 17 July 2026 Working Rights: Employer Visa sponsorship will be provided if required. How to Apply: To express your interest in the role, please prepare the following application materials: * A comprehensive academic CV detailing your positions held (with dates), key achievements, education, professional training, qualifications (including dates of completion), and a summary of your research activity and outputs. * Contact details for three referees, including your relationship to each referee and why you have nominated them. Referees will only be contacted after prior consultation with you. * Your earliest possible start date. As part of your online application, you will be asked to respond to screening questions addressing key qualifications, experiences and skills required for this position. Please note that only applications submitted via the University’s online recruitment system will be considered. Belonging at Western We are committed to substantive equality as outlined in our [Equal Opportunity Policy](https://policies.westernsydney.edu.au/document/view.current.php?id=95). We actively encourage applications from Indigenous Australians, candidates of all gender identities and expressions, people of all abilities, and those from culturally and linguistically diverse backgrounds. For reasonable adjustments during the application process, please contact [talentacquisitionteam@westernsydney.edu.au](mailto:talentacquisitionteam@westernsydney.edu.au). About Western This is your opportunity to be part of something bigger. By joining Western Sydney University, you become a valued member of our community. As our region changes, so too does our university. Western is boldly different, energetic, global, diverse, dynamic, and youthful. Our mission is to deliver student success, impactful research, and stronger communities. As part of our team, you will have a stake in shaping the future of education, broadening horizons, and changing lives. Making a difference starts at Western. For the latest please visit our [website](https://www.westernsydney.edu.au/) and [LinkedIn](https://www.linkedin.com/school/western-sydney-university/posts/?feedView=all).", "summaryDescription" : "Professor of Counselling and Head of Discipline (Art Therapy and Counselling) at Western Sydney University. Skills: Art Therapy, Counselling, Academic Leadership. Shape the profile of Counselling. Strengthen the profile of Counselling", "postedDate" : "2026-06-15T06:59:39.000", "createdAt" : "2026-06-16T00:14:14.206", "lastUpdated" : "2026-06-16T08:23:23.512", "ingestTimestamp" : "2026-06-16T00:14:14.206", "mongoId" : "6a306d6ef292fd229cfd8878", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Art therapy", "Counselling", "Mentoring", "Art Therapy", "Academic Leadership", "Academic leadership", "Research leadership", "Teaching design", "Work-integrated learning", "Creative arts therapies", "Person-centred counselling", "Arts-in-health practice" ], "skillCount" : 12, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2a74d8ee00a0af6029", "title" : "Product Quality Engineer, Hardware Quality and Reliability", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Quality Engineer in Sunnyvale, United States, adjusted for the technology industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T12:44:37.141", "fingerprint" : "747bf93ba7c4b81d0b04e9ceab13bfd9c185e10b06a682aba367f097f913c339", "source" : "google", "language" : "en", "externalId" : "82340158015185606", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "coreResponsibilities" : "Ensure product quality, Support hardware reliability", "domainKnowledge" : "Hardware quality; Hardware reliability", "domainList" : [ "hardware-quality", "hardware-reliability" ], "domainSpecificKnowledge" : [ "Hardware quality", "Hardware reliability" ], "qualificationsBasic" : "5+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Quality Engineer, Hardware Quality and Reliability. Ensure product quality. Support hardware reliability", "postedDate" : "2026-06-16T01:48:00.543", "createdAt" : "2026-06-16T01:48:00.543", "lastUpdated" : "2026-06-16T12:44:37.141", "ingestTimestamp" : "2026-06-16T01:48:00.543", "mongoId" : "6a210e2a74d8ee00a0af6029", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hardware quality", "Hardware reliability" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "68e6b1dc70f0b99d58d66e54", "title" : "Software Development Engineer II, Sponsored Products and Brands", "company" : "Amazon.com LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:05:53.312", "fingerprint" : "b57c12414644f18120b1c9c232b4637941249891258971620420fcfd6d4d9d56", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102521/apply", "externalId" : "abd8088d-06e8-42be-8144-277a004a31e2", "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" : "Generative AI", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System architecture" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Software development, System architecture", "majorSkillsList" : [ "Generative AI", "Software development", "System architecture" ], "coreResponsibilities" : "Lead feature development, Architect scalable solutions, Work with page owners, Integrate ad experiences, Mentor junior developers, Contribute to learning culture, Design video experiences, Develop video experiences, Implement video experiences", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advertising landscape; AI technologies; Advertising lifecycle", "domainList" : [ "advertising-landscape", "ai-technologies", "advertising-lifecycle" ], "domainSpecificKnowledge" : [ "Advertising landscape", "AI technologies", "Advertising lifecycle" ], "innovationCreativity" : "Innovative AI solution development", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree computer science, AI solution development track record", "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. * 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 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: - 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 - Demonstrated track record of innovative AI solution development. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer II, Sponsored Products and Brands at Amazon.com LLC. Skills: Generative AI, Software development, System architecture. Lead feature development. Architect scalable solutions", "postedDate" : "2026-06-13T06:05:37.813", "createdAt" : "2026-06-13T06:05:37.813", "lastUpdated" : "2026-06-15T03:05:53.312", "ingestTimestamp" : "2026-06-13T06:05:37.813", "mongoId" : "68e6b1dc70f0b99d58d66e54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102521/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System architecture", "Mentoring", "Generative AI", "System design", "Reliability", "Scaling", "Advertising landscape", "AI technologies", "Advertising lifecycle" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2a660974d8ee00a062ba9a", "title" : "Sr Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 184900.0, "max" : 250200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:06:08.679", "fingerprint" : "036b42a59e37269b68d7f28cffc39cb7b31dcd059d4a2ae49af275f1468bf307", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443020/apply", "externalId" : "62365aaf-f9f0-4a9f-8f47-f872043222a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, LLMs, Reinforcement learning, Preference optimization, ML inference, Agentic AI", "professionalSkills" : [ "Technical strategy", "Architectural direction", "Technical decisions", "Engineering standards", "Design patterns", "Evaluation frameworks", "System thinking" ], "hardSkillsList" : [ "Real-time inference", "Sub-millisecond latency", "Model fine-tuning", "Experimentation infrastructure", "Online experiments", "Statistical rigor", "Technical roadmap", "Bid computation", "ML inference infrastructure", "Latency budget allocation", "Graceful degradation", "Fallback strategies", "Agentic systems", "Advertiser signals", "Campaign guidance", "System dependencies", "Milestones", "Success criteria", "Operational risks", "Technical debt", "Architectural gaps", "Scalable solutions", "System design" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Real-time inference", "level" : "intermediate" }, { "name" : "Sub-millisecond latency", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Experimentation infrastructure", "level" : "intermediate" }, { "name" : "Online experiments", "level" : "intermediate" }, { "name" : "Statistical rigor", "level" : "intermediate" }, { "name" : "Technical roadmap", "level" : "intermediate" }, { "name" : "Bid computation", "level" : "intermediate" }, { "name" : "ML inference infrastructure", "level" : "intermediate" }, { "name" : "Latency budget allocation", "level" : "intermediate" }, { "name" : "Graceful degradation", "level" : "intermediate" }, { "name" : "Fallback strategies", "level" : "intermediate" }, { "name" : "Agentic systems", "level" : "intermediate" }, { "name" : "Advertiser signals", "level" : "intermediate" }, { "name" : "Campaign guidance", "level" : "intermediate" }, { "name" : "System dependencies", "level" : "intermediate" }, { "name" : "Milestones", "level" : "intermediate" }, { "name" : "Success criteria", "level" : "intermediate" }, { "name" : "Operational risks", "level" : "intermediate" }, { "name" : "Technical debt", "level" : "intermediate" }, { "name" : "Architectural gaps", "level" : "intermediate" }, { "name" : "Scalable solutions", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "AI bidding platform, GenAI architecture, Real-time systems, ML infrastructure", "majorSkillsList" : [ "AI bidding platform", "GenAI architecture", "Real-time systems", "ML infrastructure" ], "coreResponsibilities" : "Architect AI bidding platform, Own technical strategy, Define real-time proxy bidding engine, Lead bidding engine, Compute per-request bids, Build ML inference infrastructure, Establish scaling patterns, Architect AI systems, Learn from bidding outcomes, Design agent-to-agent protocols, Manage session lifecycle, Design experimentation infrastructure, Support online experiments, Test bidding strategies, Test AI optimization approaches, Identify needs before obvious, Frame technical strategy, Drive alignment, Mentor engineers, Develop engineers, Make architectural decisions, Own architecture, Own multi-year technical roadmap, Design real-time proxy bidding engine, Scale to billions of daily decisions, Build ML inference infrastructure, Serve model outputs, Design agentic systems, Process advertiser signals, Deliver AI-powered bidding optimization, Deliver intelligent campaign guidance, Establish engineering standards, Establish design patterns, Establish evaluation frameworks, Govern AI system building, Govern AI system testing, Govern AI system validation, Drive architectural decisions, Resolve cross-system dependencies, Unblock organizational delivery, Frame technical problems, Define engineering strategies, Define milestones, Define success criteria, Identify operational risks, Eliminate technical debt, Eliminate architectural gaps, Deliver scalable solutions, Conduct design reviews, Elevate technical quality, Raise bar for system thinking, Represent team in forums, Influence technical direction, Partner with product managers, Partner with applied scientists, Partner with principal engineers, Translate advertiser needs, Translate business strategy", "teamCollaboration" : "Engineering teams; Product teams; Science teams; Cross-org design reviews; Principal engineering forums; Product managers; Applied scientists; Principal engineers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertiser Controls; Real-time bidding; ML inference; GenAI; Agentic AI; Online advertising; Ad serving technologies", "domainList" : [ "sponsored-products", "sponsored-brands", "advertiser-controls", "real-time-bidding", "ml-inference", "genai", "agentic-ai", "online-advertising", "ad-serving-technologies" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertiser Controls", "Real-time bidding", "ML inference", "GenAI", "Agentic AI", "Online advertising", "Ad serving technologies" ], "communicationSkills" : "Technical strategy; Design reviews", "innovationCreativity" : "Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Ambiguous challenges; Hard problems; High-stakes technical problems; Systemic operational risks; Technical debt; Architectural gaps", "outcomesObjectives" : "Raise engineering bar; Scale to billions of daily decisions; Deliver permanent, scalable solutions", "qualificationsBasic" : "5+ years professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with distributed systems at scale, Experience with Generative AI technologies, Experience with large language models, Experience with model fine-tuning, Experience with RLHF, Experience with RAG, Experience with agentic architectures", "qualificationsPreferred" : "5+ years full software development life cycle, Master's degree in computer science, Experience in online advertising, Familiarity with advertising products, Familiarity with ad serving technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Architect the AI bidding platform that powers billions of daily ad decisions for millions of advertisers—from a first-time small business owner launching their debut campaign to enterprise brands managing hundreds of millions in spend. You'll own the technical strategy end-to-end: real-time inference at sub-millisecond latency, GenAI agents that learn and optimize autonomously, and experimentation infrastructure that proves it all works at scale. Amazon Sponsored Products and Brands is seeking a Senior Software Development Engineer to join our Advertiser Controls team. You will set the architectural direction, make high-judgment technical decisions independently, and raise the engineering bar across the organization. What You'll Own - Real-Time Proxy Bidding Engine (Tier 1) — Define and lead the engine that computes per-request bids at sub-millisecond latency, build the ML inference infrastructure serving model outputs at bid-request time, and establish patterns that scale to billions of daily decisions - GenAI & Agentic Intelligence Layer — Architect AI systems using LLMs, reinforcement learning, and preference optimization that learn from bidding outcomes and advertiser feedback; design agent-to-agent protocols, session lifecycle management, and model fine-tuning pipelines - Experimentation Infrastructure — Design systems supporting multiple concurrent online experiments, enabling the team to test bidding strategies and AI optimization approaches with speed and statistical rigor How You'll Lead - Identify what needs to be built before it becomes obvious and frame technical strategy for ambiguous challenges - Drive alignment across engineering, product, and science teams - Mentor and develop engineers; represent the team in cross-org design reviews and principal engineering forums - Make independent architectural decisions on hard problems—escalating only when broader organizational alignment is required Why You'll Love It - Your decisions directly shape how hundreds of millions of customers discover products on Amazon - You'll define the GenAI architecture standard for the broader Sponsored Products organization - You'll work at the intersection of real-time systems, ML infrastructure, and agentic AI—at a scale few teams in the industry can offer Key job responsibilities - Own the architecture and multi-year technical roadmap for the full AI bidding platform—spanning the Tier 1 real-time proxy bidding engine, GenAI intelligence layer, and experimentation framework - Design and lead the real-time proxy bidding engine that computes per-request bids on behalf of advertisers at sub-millisecond latency, scaling to billions of daily decisions - Build and optimize ML inference infrastructure that serves model outputs at bid-request time, including latency budget allocation, graceful degradation, and fallback strategies - Design and build scalable, low-latency agentic systems that process millions of advertiser signals to deliver AI-powered bidding optimization and intelligent campaign guidance - Establish engineering standards, design patterns, and evaluation frameworks that govern how AI systems are built, tested, and validated across the Advertiser Controls organization - Drive architectural decisions that span multiple engineering teams, resolve cross-system dependencies, and unblock delivery at the organizational level - Frame ambiguous, high-stakes technical problems into clear engineering strategies with well-defined milestones and success criteria - Proactively identify and eliminate systemic operational risks, technical debt, and architectural gaps—delivering permanent, scalable solutions rather than tactical fixes - Mentor and develop engineers across the team; conduct design reviews that elevate technical quality and raise the bar for system thinking - Represent the team in cross-organizational design reviews and principal engineering forums, influencing technical direction beyond your immediate scope - Partner with product managers, applied scientists, and principal engineers to translate advertiser needs and business strategy into executable technical plans 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: - 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 distributed systems at scale - Experience with Generative AI technologies including large language models (LLMs), model fine-tuning, RLHF, RAG, and agentic architectures 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 in an online advertising role and have familiarity with advertising products and ad serving technologies - Experience developing, deploying and managing AI products at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: AI bidding platform, GenAI architecture, Real-time systems, ML infrastructure. Architect AI bidding platform. Own technical strategy", "postedDate" : "2026-06-13T05:16:02.361", "createdAt" : "2026-06-13T05:16:02.361", "lastUpdated" : "2026-06-15T03:06:08.679", "ingestTimestamp" : "2026-06-13T05:16:02.361", "mongoId" : "6a2a660974d8ee00a062ba9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443020/apply", "salaryAnnualMin" : 184900, "salaryAnnualMax" : 250200, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Real-time inference", "Sub-millisecond latency", "Model fine-tuning", "Experimentation infrastructure", "Online experiments", "Statistical rigor", "Technical roadmap", "Bid computation", "ML inference infrastructure", "Latency budget allocation", "Graceful degradation", "Fallback strategies", "Agentic systems", "Advertiser signals", "Campaign guidance", "System dependencies", "Milestones", "Success criteria", "Operational risks", "Technical debt", "Architectural gaps", "Scalable solutions", "System design", "Mentoring", "Leadership", "AI bidding platform", "GenAI architecture", "Real-time systems", "ML infrastructure", "Technical strategy", "Architectural direction", "Technical decisions", "Engineering standards", "Design patterns", "Evaluation frameworks", "System thinking", "Roadmap planning", "Sponsored Products", "Sponsored Brands", "Advertiser Controls", "Real-time bidding", "ML inference", "GenAI", "Agentic AI", "Online advertising", "Ad serving technologies" ], "skillCount" : 46, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "69ce5e5f9bc74574cb67a51b", "title" : "Assistant Director Program Evaluation and Project Management", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Program Evaluation and Project Management Director roles in Sugar Land, TX, adjusted for industry and seniority." }, "location" : "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "locations" : [ "TEXAS-SUGAR LAND-ADMINISTRATION BUILDING", "
ADMINISTRATION BUILDING (700)
16431 LEXINGTON BLVD.
SUGAR LAND, 77479

" ], "timestamp" : "2026-06-16T02:08:54.464", "fingerprint" : "de3698396b0c47e91d10b06f814c508fb222fee8b49c46d58bce95329d3b9918", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=187253", "externalId" : "187253", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "Job Overview The Assistant Director Program Evaluation & Project Management will be responsible for development and implementation of systems for research, program evaluation, and project management to support effective implementation of District priorities. The incumbent will oversee all aspects of district research, conduct program evaluations, oversee project management systems, and implement data and reporting protocols to support continuous improvement. The Assistant Director Program Evaluation and Project Management will provide strong leadership in the area of evaluation, improvement, and resource allocation to ensure attainment of District priorities and goals. Position Description Essential Duties and Responsibilities Research, Program Evaluation, & Project Management Lead the design, implementation, and monitoring of systems for a comprehensive research, program evaluation, and review cycle for district-wide programs Lead the annual program evaluation process including development of evaluation scope, data analysis, and action planning using results to promote efficiency of resource allocation and continuous improvement to ensure programming supports improved student achievement Oversee the Project Management Office to facilitate intake, monitor progress, and ensure projects are completed on time and within scope. Establish systems and implement protocols for data analysis to identify trends, patterns, and areas of improvement for district programs Oversee all aspects of District research projects to ensure adherence to laws and guidelines governing research including data requests and reporting of defined project outcomes Lead the Research Review Board to collaboratively analyze, approve, and make recommendations regarding proposed internal and external research to be conducted in the District Complete professional literature reviews on educational research and evaluation, and report on appropriate topics that could be of interest to the improvement of the District Leadership Establish and implement systems for progress monitoring including quarterly reporting on research, program evaluation, and project management processes within the district Conduct annual program evaluations, manage scope, timelines for data review, stakeholder engagement, reporting, and analysis to support continuous improvement Manage technology systems and reporting structures including tools that support data reporting, survey, feedback, and information sharing Develop and deliver training for District and campus administrators and other relevant stakeholder groups on program evaluation practices, evidence analysis, and data driven decision-making best practices Collaborate to support district department and campus leader engagement in improvement planning, progress monitoring, and evaluation of defined improvement strategies Administrative Design and prepare customized formative and summative reports and databases to support research, program evaluation, and project management Review project outcomes and evaluate effectiveness of the project management office and personnel Facilitate the use of District data systems to ensure ongoing review and analysis of data Collaborate to compile results from stakeholder engagement activities including surveys, focus groups, and other feedback opportunities Attend pertinent District and community functions to support the development of partnerships across the organization and within the community Prepare professional written reports and communications for the Superintendent and Board in consultation leaders of the Executive Team Maintain records, plans, and data related to the implementation of department work priorities Keep abreast of current research, state, and federal guidelines, rules and regulations related to research, program evaluation, data analysis, and project management Adhere to all federal, state, and local laws and policies Supervisory Responsibilities Assist in the process of recruiting, screening, interviewing, and hiring of assigned staff Initiate personnel actions including documentation and termination under the guidance of Human Resources Conduct performance appraisals of assigned staff Address complaints and resolve problems in a timely manner Supervise project management systems Monitor and maintain data reporting systems Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Master's degree required Valid Teaching Certification Issued by Texas Education Agency appropriate to subject and grade level of assignment Valid Texas Mid-Management or Principal Certification Minimum of 3 years successful teaching experience Minimum of 5 years in instructional leadership at the campus or district level Demonstrated knowledge in research, program evaluation, and project management Demonstrated knowledge of best practices in the implementation of district initiatives Demonstrated experience in data analysis, disaggregation, and improvement planning Proficiency in Microsoft Office including EXCEL Excellent communication and interpersonal skills, both orally and in writing Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. TEXAS-SUGAR LAND", "summaryDescription" : "Assistant Director Program Evaluation and Project Management", "createdAt" : "2026-06-14T19:47:47.713", "lastUpdated" : "2026-06-16T02:08:54.464", "ingestTimestamp" : "2026-06-14T19:47:47.713", "mongoId" : "69ce5e5f9bc74574cb67a51b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe94fe4c40e2acd1121816", "title" : "Software Development Manager, Advertising Support Products and Services", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 203000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:50:45.163", "fingerprint" : "60631e5d1a34a49960213d254a9c8065f5c9b904f83f4cb2fa29d6be8ae92e8f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414888/apply", "externalId" : "9fe041ee-81df-4e07-866c-17fb85dc7c25", "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" : "Generative AI, Large language models, Amazon Bedrock", "professionalSkills" : [ "Technical vision", "Roadmap ownership", "System architecture", "Engineering investments", "Technical direction", "Engineering excellence", "Code quality standards", "Operational metrics", "Audit mechanisms", "Cross-team collaboration", "Innovation culture", "Psychological safety", "Inclusion culture" ], "hardSkillsList" : [ "AI agent development", "Workflow automation", "Campaign management", "Creative operations", "Advertiser communications", "Scalable engineering solutions", "System reliability" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI agent development", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Creative operations", "level" : "intermediate" }, { "name" : "Advertiser communications", "level" : "intermediate" }, { "name" : "Scalable engineering solutions", "level" : "intermediate" }, { "name" : "System reliability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, AI agents, Customer support, Team leadership", "majorSkillsList" : [ "Generative AI", "AI agents", "Customer support", "Team leadership" ], "coreResponsibilities" : "Lead and grow SDE team, Build AI-powered products, Own technical vision, Own roadmap, Own architecture, Drive 1-2 year strategy, Design generative AI solutions, Deliver generative AI solutions, Build intelligent tools, Automate manual processes, Partner with scientists, Partner with product managers, Translate business problems, Attract top talent, Hire top talent, Develop top talent, Retain top talent, Create growth plans, Coach engineers, Build team that delivers, Establish engineering excellence, Drive cross-team collaboration, Integrate products, Champion culture of innovation, Champion psychological safety, Champion inclusion", "teamCollaboration" : "Cross-functional organization; Cross-functional teams; Broader ecosystem integration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Advertiser support; Generative AI; Customer experience; Campaign management; Creative operations; Advertiser communications; AI agents; Agentic workflows; Large language models", "domainList" : [ "advertiser-support", "generative-ai", "customer-experience", "campaign-management", "creative-operations", "advertiser-communications", "ai-agents", "agentic-workflows", "large-language-models" ], "domainSpecificKnowledge" : [ "Advertiser support", "Generative AI", "Customer experience", "Campaign management", "Creative operations", "Advertiser communications", "AI agents", "Agentic workflows", "Large language models" ], "communicationSkills" : "Technical designs; Product strategy", "innovationCreativity" : "Innovation culture", "problemSolvingSkills" : "Technical decisions; Design challenges; Edge cases", "outcomesObjectives" : "Reduce operational costs", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading web services development, Knowledge of full software development lifecycle, Experience partnering with product teams", "qualificationsPreferred" : "Experience communicating with users, Experience communicating with technical teams, Experience communicating with senior leadership, Experience recruiting engineers, Experience hiring engineers, Experience mentoring engineers, Experience coaching engineers, Experience managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising's Support Products & Services (SP&S) team is building the AI-powered future of advertiser support at massive scale. We're not just answering questions — our AI agents execute multi-step agentic workflows, automate the majority of common customer support use cases, and are featured prominently in the Amazon Advertising console, serving millions of advertisers worldwide. As a Software Development Manager, you will lead a team of engineers in New York building products at the intersection of generative AI and customer experience — from AI agents that resolve advertiser cases autonomously, to intelligent tools that eliminate thousands of hours of manual work across campaign management, creative operations, and advertiser communications. You'll own your team's technical vision and roadmap, partner directly with scientists and product managers in a cross-functional organization, and drive engineering investments that meaningfully reduce operational costs at scale. This is a role for a builder who wants to shape how AI transforms customer service at Amazon's scale — leading a team of SDEs, setting technical direction, and delivering products that directly impact advertiser success and business efficiency. Key job responsibilities - Lead and grow a team of SDEs building AI-powered customer support products for Amazon Advertising - Own your team's technical vision, roadmap, and architecture — driving the 1–2 year strategy for how your systems evolve to meet advertiser needs - Design and deliver generative AI solutions using Amazon Bedrock, including agentic workflows that resolve advertiser issues autonomously - Build intelligent tools that automate manual processes across campaign management, creative operations, and advertiser communications — directly reducing operational costs - Partner with scientists, product managers, and cross-functional teams to translate business problems into scalable engineering solutions - Attract, hire, develop, and retain top engineering talent — creating growth plans, coaching engineers, and building a team that delivers independently - Establish engineering excellence through code quality standards, operational metrics, and audit mechanisms that keep your systems reliable at scale - Drive cross-team collaboration to integrate your products into the broader Amazon Advertising ecosystem - Champion a culture of innovation, psychological safety, and inclusion where engineers at all levels contribute ideas and challenge assumptions A day in the life Your morning starts with your engineering team — reviewing sprint progress, unblocking technical decisions, and coaching engineers through design challenges. Mid-morning you're in a design review for a new AI agent capability, pushing the team to think through edge cases before writing code. After lunch, you're partnering with product managers and scientists to shape the roadmap — balancing new generative AI features against reliability and cost efficiency. Between meetings, you're having a 1:1 with an engineer about their career growth. No two days look the same, but every day blends technical depth, people leadership, and cross-functional collaboration. About the team Our cross-functional team of software engineers, applied scientists, and product managers builds AI-powered support products used by millions of advertisers in the Amazon Advertising console. We develop intelligent agents that resolve advertiser issues autonomously, in-workflow help experiences, and tools that drive advertiser growth and operational efficiency. Our engineers work across the full stack — from generative AI and large language models to scalable services and front-end experiences. We operate out of Seattle, Bangalore, and New York, and we value diverse perspectives, bold ideas, and builders who raise the bar for their teammates. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 203,400.00 - 275,200.00 USD annually", "summaryDescription" : "Software Development Manager, Advertising Support Products and Services at Amazon.com Services LLC. Skills: Generative AI, AI agents, Customer support, Team leadership. Lead and grow SDE team. Build AI-powered products", "postedDate" : "2026-06-13T04:39:23.863", "createdAt" : "2026-06-13T04:39:23.863", "lastUpdated" : "2026-06-15T02:50:45.163", "ingestTimestamp" : "2026-06-13T04:39:23.863", "mongoId" : "69fe94fe4c40e2acd1121816", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414888/apply", "salaryAnnualMin" : 203000, "salaryAnnualMax" : 275000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI agent development", "Workflow automation", "Campaign management", "Creative operations", "Advertiser communications", "Scalable engineering solutions", "System reliability", "Leadership", "Mentoring", "Generative AI", "AI agents", "Customer support", "Team leadership", "Technical vision", "Roadmap ownership", "System architecture", "Engineering investments", "Technical direction", "Engineering excellence", "Code quality standards", "Operational metrics", "Audit mechanisms", "Cross-team collaboration", "Innovation culture", "Psychological safety", "Inclusion culture", "Roadmap planning", "Advertiser support", "Customer experience", "Agentic workflows", "Large language models" ], "skillCount" : 31, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69f46f044c40e2acd1b368ca", "title" : "Senior Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:10:17.513", "fingerprint" : "a306b7e1ca62572c4cf09416a098fc4f9dfede7ea7014d7c230b53ace37badab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408625/apply", "externalId" : "5cda35e4-46cc-4c06-b0f9-c84d0a7f6a66", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Large language models, ML infrastructure, Data processing pipelines, LLMOps", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Distributed systems" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM implementation", "majorSkillsList" : [ "Generative AI", "LLM implementation" ], "coreResponsibilities" : "Drive major product initiatives, Drive engineering initiatives, Build large-scale systems, Build low-latency systems, Develop ML infrastructure, Develop data processing pipelines, Partner with science team, Implement LLM models, Contribute to LLMOps, Design customer-facing functionality, Build customer-facing functionality, Operate customer-facing functionality", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Conversational shopping experiences; Sponsored products; Sponsored brands", "domainList" : [ "conversational-shopping-experiences", "sponsored-products", "sponsored-brands" ], "domainSpecificKnowledge" : [ "Conversational shopping experiences", "Sponsored products", "Sponsored brands" ], "innovationCreativity" : "Experimentation; Innovation", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is building a world class advertising business and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our retail and marketplace businesses, driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving group with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new ideas and opportunities. Key job responsibilities We are looking for a Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple \"industry-first\" projects that are ambiguous and challenging, but offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, and develop ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production and contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer-facing functionality impacting hundreds of millions of Amazon shoppers worldwide. About the team The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Senior Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, LLM implementation. Drive major product initiatives. Drive engineering initiatives", "postedDate" : "2026-06-13T04:31:29.739", "createdAt" : "2026-06-13T04:31:29.739", "lastUpdated" : "2026-06-15T00:10:17.513", "ingestTimestamp" : "2026-06-13T04:31:29.739", "mongoId" : "69f46f044c40e2acd1b368ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408625/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Generative AI", "LLM implementation", "System design", "Reliability", "Scaling", "Conversational shopping experiences", "Sponsored products", "Sponsored brands" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2c93b174d8ee00a0988c28", "title" : "Member of Technical Staff — Model Optimization and Inference (New Grad)", "company" : "Nuance Labs", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T21:28:57.333", "fingerprint" : "b3def937b295487a715d3e375c4737a63235b84620a7657547ffb5ba82322a7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nuancelabs/jobs/4283935009", "externalId" : "4283935009", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning, Deep learning, Natural language processing, Computer vision, Large language models, Model optimization, Inference optimization, Python, C++, PyTorch, TensorFlow, ONNX, TensorRT, Model compression, Quantization, Pruning, Knowledge distillation, Distributed training, High-performance computing, GPU programming, CUDA, Cloud platforms, ML frameworks, Model deployment, Production environments", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation" ], "hardSkills" : [ { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Inference optimization", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Knowledge distillation", "level" : "intermediate" } ], "majorSkills" : "Model Optimization, Inference Optimization, Machine Learning, Deep Learning", "majorSkillsList" : [ "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Optimize machine learning models, Optimize deep learning models, Optimize natural language processing models, Optimize computer vision models, Optimize large language models, Optimize model inference, Develop novel optimization techniques, Implement model compression techniques, Implement quantization techniques, Implement pruning techniques, Implement knowledge distillation techniques, Collaborate with research scientists, Collaborate with engineering teams, Deploy optimized models, Evaluate model performance, Benchmark model performance, Document optimization processes, Stay current with research", "teamCollaboration" : "Research scientists; Engineering teams", "domainKnowledge" : "Machine learning; Deep learning; Natural language processing; Computer vision; Large language models; Model optimization; Inference optimization; Model compression; Quantization; Pruning; Knowledge distillation; High-performance computing; GPU programming", "domainList" : [ "machine-learning", "deep-learning", "natural-language-processing", "computer-vision", "large-language-models", "model-optimization", "inference-optimization", "model-compression", "quantization", "pruning", "knowledge-distillation", "high-performance-computing", "gpu-programming" ], "domainSpecificKnowledge" : [ "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "High-performance computing", "GPU programming" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with research", "innovationCreativity" : "Develop novel optimization techniques", "problemSolvingSkills" : "Model optimization; Inference optimization; Model debugging", "outcomesObjectives" : "Improve model performance; Reduce inference latency; Reduce model size; Deploy optimized models", "qualificationsBasic" : "Bachelor's degree in Computer Science, Master's degree in Computer Science, PhD in Computer Science, Experience with machine learning, Experience with deep learning, Experience with natural language processing, Experience with computer vision, Experience with large language models, Experience with model optimization, Experience with inference optimization, Experience with Python, Experience with C++, Experience with PyTorch, Experience with TensorFlow, Experience with ONNX, Experience with TensorRT, Experience with model compression, Experience with quantization, Experience with pruning, Experience with knowledge distillation", "qualificationsPreferred" : "Experience with distributed training, Experience with high-performance computing, Experience with GPU programming, Experience with CUDA, Experience with cloud platforms, Experience with ML frameworks, Experience with model deployment, Experience with production environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nuance Labs Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person. We're a Series A company ($60M raised) backed by Lightspeed, Accel, South Park Commons, NVentures, and Define Ventures, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and Discord. The team is small, the work is real, and the problems are unsolved. How Nuance Differentiates Most conversational AI avatars today are hacks — a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time. Current systems take 2–5 seconds to respond; natural conversation requires sub-500ms. That's a 10x improvement, and it demands rethinking the entire stack. That rethinking starts with full-duplex: an AI that listens and speaks simultaneously, perceives emotion in real time, and responds with a face that actually reflects it. It's an extremely hard problem, and we're developing foundation models designed for it from the ground up. About the Role We can train a great model. The next problem is making it fast enough to actually use in a real-time conversation — and that gap is enormous. A model that responds in 3 seconds is a demo. A model that responds in under 500ms is a product. We’re looking for someone who’s excited about taking trained models and squeezing every last millisecond out of them. You understand — or want to deeply understand — the full stack from model weights to serving infrastructure: quantization, KV cache optimization, kernel-level acceleration, batching strategies. You’ve worked with vLLM, SGLang, or similar frameworks (through coursework, research, internships, or open-source) and have opinions about where they fall short. This posting is aimed at early-career engineers finishing or recently finished with a BS, MS, or PhD. We don’t require a PhD — we care about systems intuition, engineering chops, and the appetite to go deep. Our stack is more complex than a standard LLM deployment: we’re serving a full-duplex multimodal system that must satisfy strict real-time latency constraints. There’s a lot of unsolved optimization work here, and we want someone who finds that genuinely exciting and is ready to grow fast alongside people who’ve built these systems before. What You’ll Do Contribute to end-to-end inference optimization across our model stack — LLMs, audio models, and diffusion-based components Implement and tune KV cache strategies for long-context conversations, including eviction policies, compression, and memory-efficient attention Work with inference serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and extend them for our specific workloads Profile and benchmark end-to-end latency and throughput; identify and systematically eliminate bottlenecks Build internal tooling that makes optimization work faster and more rigorous — profiling viewers, end-to-end inference test harnesses, and other infrastructure that helps the team move quickly Accelerate diffusion model inference — consistency models, step distillation, caching strategies, and custom kernel optimizations Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond) to reduce memory footprint and increase throughput without meaningfully degrading quality Work closely with research and infrastructure to ensure new models ship with optimized serving from day one What We’re Looking For BS, MS, or PhD in CS, ML, or a related field — completed or in the final stretch Strong fundamentals in LLM inference or ML systems — KV caching, memory layout, attention kernels, batching, or serving — picked up through coursework, research, internships, or open-source. You don’t need to have shipped at production scale yet; you do need to learn fast and go deep. Exposure to inference serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) — even at a research or hobby level Strong Python and PyTorch skills; familiarity with CUDA or Triton is a significant plus A systematic approach to profiling and optimization — you measure first, then optimize Curiosity about diffusion inference, speculative decoding, quantization, or other inference-time acceleration techniques Bonus Points Internship or research experience with LLM inference, ML systems, or model serving Contributions to open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) CUDA / Triton kernel work, even at a research or hobby scale Publications or research projects in MLSys, model compression, or inference optimization Familiarity with multimodal or streaming inference architectures Experience with hard latency SLAs in any real-time system Compensation $200,000 – $300,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly. Logistics Location: In-person in Seattle, five days a week — we believe in the compounding value of working shoulder-to-shoulder. Visa sponsorship: We sponsor visas (O-1, H-1B, green card) from day one. AI-native tooling: Do your best work with the best tools, including unlimited tokens. Benefits Health: HSA plan with ~$2,000 in annual company contributions — roughly 2x what most big tech companies put in. Time off: 15 days of PTO plus public holidays, and we close the office for a full week at year-end. Food: Lunch, drinks, and snacks on us every workday — the small thing that quietly makes the day better. Commuter benefits: We help cover the cost of getting to the office. 401(k): In the works. Nuance Labs is an equal opportunity employer. We believe diverse teams build better AI.", "summaryDescription" : "Member of Technical Staff — Model Optimization and Inference (New Grad) at Nuance Labs. Skills: Model Optimization, Inference Optimization, Machine Learning, Deep Learning. Optimize machine learning models. Optimize deep learning models", "postedDate" : "2026-06-14T19:04:54.447", "createdAt" : "2026-06-14T19:04:54.447", "lastUpdated" : "2026-06-15T21:28:57.333", "ingestTimestamp" : "2026-06-14T19:04:54.447", "mongoId" : "6a2c93b174d8ee00a0988c28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning", "System design", "Algorithm design", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "High-performance computing", "GPU programming", "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ad774d8ee00a090e6c1", "title" : "Business Development Manager (OMP Software - Packaging and Paper Products)", "company" : "OMP Careers", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Development Manager in Atlanta, United States, with adjustments for the SaaS industry and company size." }, "location" : "US-Atlanta", "locations" : [ "US-Atlanta" ], "timestamp" : "2026-06-15T10:18:56.797", "fingerprint" : "c7e74da91836e99e9f7013d4d4742bc83de8080bed785a0df3f650e0815646ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.omp.com/job/navigate/4788515101?gh_jid=4788515101", "externalId" : "4788515101", "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", "professionalSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Opportunity management", "Stakeholder mapping", "Relationship building", "Offer shaping", "Value proposition", "Customer needs analysis" ], "hardSkillsList" : [ "Sales pipeline management", "Lead validation", "Closing opportunities", "Pre-sales information", "Multiyear plan alignment" ], "hardSkills" : [ { "name" : "Sales pipeline management", "level" : "intermediate" }, { "name" : "Lead validation", "level" : "intermediate" }, { "name" : "Closing opportunities", "level" : "intermediate" }, { "name" : "Pre-sales information", "level" : "intermediate" }, { "name" : "Multiyear plan alignment", "level" : "intermediate" } ], "majorSkills" : "Business Development, Sales, Client Relations", "majorSkillsList" : [ "Business Development", "Sales", "Client Relations" ], "coreResponsibilities" : "Drive business development process, Identify opportunities, Validate opportunities, Close opportunities, Manage opportunities, Develop customer base, Promote OMP offering, Raise company awareness, Emphasize selling points, Track opportunities, Validate leads, Map stakeholders, Build relationships, Shape offers, Provide pre-sales information, Align with multiyear plans, Educate prospects, Overcome concerns, Overcome questions, Overcome obstacles, Represent OMP, Understand customer needs, Add value, Manage CRM system, Follow-up accounts", "teamCollaboration" : "Working with Marketing; Collaboration with Business Development; Collaboration with experts", "domainKnowledge" : "Packaging and Paper Products; Unison Planning", "domainList" : [ "packaging-and-paper-products", "unison-planning" ], "domainSpecificKnowledge" : [ "Packaging and Paper Products", "Unison Planning" ], "toolProficiency" : [ "CRM system" ], "communicationSkills" : "Clear communication; Convincing communication; Cohesive communication", "specialRequirements" : "Represent OMP at events, Networking events", "outcomesObjectives" : "Maximize chances of succeeding; Meet customer needs; Add value in verticals", "qualificationsBasic" : "Manage prospect pipeline, Map stakeholders, Build relationships with buyers, Educate prospects on value proposition, Overcome customer concerns, Manage CRM system", "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Business Development Manager, you drive the business development process from identification of opportunities to validation and closing. You manage opportunities to maximize our chances of succeeding. You develop our current and future customer base with respect for feasibility throughout our global intake process. Working closely with our Marketing & Communications team, you promote the OMP offering and raise awareness of our company and solution while emphasizing the unique selling points of Unison Planning™. You are responsible for: Managing the prospect pipeline from start to end, tracking opportunities, validating leads, and closing opportunities. Mapping stakeholders at both prospect organizations and alliance partners. Building constructive relationships with prospective buyers and contacts within their organizations. Shaping offers, providing the appropriate pre-sales information, and aligning with multiyear plans in close collaboration with Business Development and other experts. Educating prospects on OMP’s value proposition in a clear, convincing, and cohesive manner. Overcoming concerns, questions, and obstacles from prospective customers, including non-responsive contacts. Representing OMP at commercial and networking events. Understanding how the benefits of OMP’s products and services can meet customer needs and add value in various business verticals. Managing the CRM system to follow-up our accounts.", "summaryDescription" : "Business Development Manager (OMP Software - Packaging and Paper Products) at OMP Careers. Skills: Business Development, Sales, Client Relations. Drive business development process. Identify opportunities", "postedDate" : "2026-06-13T20:39:57.914", "createdAt" : "2026-06-13T20:39:57.914", "lastUpdated" : "2026-06-15T10:18:56.797", "ingestTimestamp" : "2026-06-13T20:39:57.914", "mongoId" : "6a2c6ad774d8ee00a090e6c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Sales pipeline management", "Lead validation", "Closing opportunities", "Pre-sales information", "Multiyear plan alignment", "Business Development", "Sales", "Client Relations", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Opportunity management", "Stakeholder mapping", "Relationship building", "Offer shaping", "Value proposition", "Customer needs analysis", "Packaging and Paper Products", "Unison Planning", "CRM system" ], "skillCount" : 21, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a370f0b99d58ffb5e2", "title" : "Software Dev Engineer II, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:56:20.374", "fingerprint" : "6a17f49b31a862ba24c838b4bcbff5dd8ee1f484edcdcd099ce30d7700370668", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136158/apply", "externalId" : "1127ff1a-55af-4e45-a014-b09ac4000496", "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" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Generative AI, Large Language Models, LLM, ML infrastructure, Data processing pipelines, LLMOps", "professionalSkills" : [ "System design", "Architecture", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System design", "Architecture", "Reliability", "Scaling", "Programming" ], "softSkillsList" : [ "Creative problem-solver", "Tackling complex challenges" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Reliability", "level" : "intermediate" }, { "name" : "Scaling", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative problem-solver" }, { "name" : "Tackling complex challenges" } ], "majorSkills" : "Generative AI, Large Language Models, LLMOps, Distributed systems", "majorSkillsList" : [ "Generative AI", "Large Language Models", "LLMOps", "Distributed systems" ], "coreResponsibilities" : "Design conversational ad experiences, Develop conversational ad experiences, Integrate AI-driven solutions, Pioneer new approaches, Shape advertising future, Create scalable systems, Deliver personalized ad experiences, Build large-scale systems, Build low-latency systems, Build ML infrastructure, Build data processing pipelines, Implement LLM models, Contribute to LLMOps, Design customer facing functionality, Build customer facing functionality, Operate customer facing functionality", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Conversational AI; Natural language interactions; Advertising ecosystem; Generative AI; Large Language Models", "domainList" : [ "conversational-ai", "natural-language-interactions", "advertising-ecosystem", "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Conversational AI", "Natural language interactions", "Advertising ecosystem", "Generative AI", "Large Language Models" ], "innovationCreativity" : "Pioneer new approaches; Innovative solutions", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges", "outcomesObjectives" : "Grow incremental sales; Enhance shopping experience; Strengthen marketplace", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science, Experience developing Agentic AI solutions, Experience deploying Gen AI applications", "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. We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. #GenAI Key job responsibilities Key job responsibilities • Design and develop net new conversational ad experiences on the Search page • 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 advertising • Create scalable systems to deliver explicitly personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills • 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 Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience developing and deploying Agentic AI solutions - Experience developing and deploying Gen AI applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Dev Engineer II, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, LLMOps, Distributed systems. Design conversational ad experiences. Develop conversational ad experiences", "postedDate" : "2026-06-13T01:38:27.077", "createdAt" : "2026-06-13T01:38:27.077", "lastUpdated" : "2026-06-15T01:56:20.374", "ingestTimestamp" : "2026-06-13T01:38:27.077", "mongoId" : "693072a370f0b99d58ffb5e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136158/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "Reliability", "Scaling", "Programming", "Creative problem-solver", "Tackling complex challenges", "Generative AI", "Large Language Models", "LLMOps", "Distributed systems", "Conversational AI", "Natural language interactions", "Advertising ecosystem" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2a47fa74d8ee00a05dced1", "title" : "Research Lead, New AI Products & Platforms", "company" : "The New York Times", "salary" : { "min" : 140000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY", "locations" : [ "New York", "NY" ], "timestamp" : "2026-06-14T22:17:47.913", "fingerprint" : "f78d192fd1e9febe1818e47c9062a1355a71f1151c79a4f84a88ee9f3d938174", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thenewyorktimes/jobs/4703588005", "externalId" : "4703588005", "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "GenAI tools", "professionalSkills" : [ "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Participatory design", "Ethnographies", "Co-creation", "Usability studies", "Card-sorting", "Surveys" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Participatory design", "level" : "intermediate" }, { "name" : "Ethnographies", "level" : "intermediate" }, { "name" : "Co-creation", "level" : "intermediate" }, { "name" : "Usability studies", "level" : "intermediate" }, { "name" : "Card-sorting", "level" : "intermediate" }, { "name" : "Surveys", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Management, AI Products, Research Lead", "majorSkillsList" : [ "Product Management", "AI Products", "Research Lead" ], "coreResponsibilities" : "Understand audiences, Build empathy for audiences, Demonstrate understanding journalistic independence, Support journalistic independence, Commitment to mission", "teamCollaboration" : "Cross-functional partners; Cross-functional stakeholders", "domainKnowledge" : "AI; Information; Media; Journalism", "domainList" : [ "ai", "information", "media", "journalism" ], "domainSpecificKnowledge" : [ "AI", "Information", "Media", "Journalism" ], "communicationSkills" : "Compelling narratives", "continuousLearning" : "Professional development programs", "innovationCreativity" : "Early-stage product development; 0-1 product development; Rapid prototyping; Iterative product development; Experimentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "8+ years research experience, Research chat interfaces, Research GenAI search tools, Use GenAI tools, Moderating qualitative research, Facilitating brainstorms, Facilitating workshops, Mastery of research methods, Participatory design, In-person interviews, Remote interviews, Ethnographies, Co-creation, User-initiated feedback tools, Surveys, Card-sorting, Usability studies, Qualitative research execution, Quantitative research execution, Synthesizing complex findings, Visualize insights", "qualificationsPreferred" : "Research for 0-1 product development, Identify opportunities, Validate concepts, Shape new product experiences, Rapid prototyping environments, Iterative product development, Experimentation, Build alignment stakeholders, Presenting to stakeholders, Presenting to senior management, Presenting to fellow researchers, Curiosity about AI role", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Mission Overview help The New York Times understand, and build empathy for, our audiences. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 8+ years of research and insights experience. Experience researching chat interfaces or GenAI search tools and using a range of GenAI tools and features in your work. Experience moderating qualitative research and facilitating brainstorms and workshops with cross-functional partners. Mastery of a range of research methods . These methods include participatory design, in-person and remote interviews, ethnographies, co-creation, and user-initiated feedback tools. Additionally, surveys, card-sorting, and usability studies are also part of the range. Experience executing qualitative and quantitative research and selecting the right approach based on the problem to be solved. Experience synthesizing complex findings into compelling narratives and visualize insights for diverse audiences. Preferred Qualifications: Experience conducting research for early-stage 0-1 product development, helping teams identify opportunities, validate concepts, and shape new product experiences. Experience working in rapid prototyping environments, using research to inform iterative product development and experimentation. Experience building alignment among cross-functional stakeholders, including Product, Design, Engineering, Editorial, and Marketing partners. Experience presenting to stakeholders, senior management, and fellow researchers. A deep curiosity about the role of AI in shaping the future of information, media, and journalism. REQ-020138 #LI-Hybrid The annual base pay range for this role is between: $140,000—$155,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U. S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable \"Fair Chance\" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.", "summaryDescription" : "Research Lead, New AI Products & Platforms at The New York Times. Skills: Product Management, AI Products, Research Lead. Understand audiences. Build empathy for audiences", "postedDate" : "2026-06-12T00:02:17.679", "createdAt" : "2026-06-12T00:02:17.679", "lastUpdated" : "2026-06-14T22:17:47.913", "ingestTimestamp" : "2026-06-12T00:02:17.679", "mongoId" : "6a2a47fa74d8ee00a05dced1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 140000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Participatory design", "Ethnographies", "Co-creation", "Usability studies", "Card-sorting", "Surveys", "Leadership", "Product Management", "AI Products", "Research Lead", "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration", "AI", "Information", "Media", "Journalism" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "research-and-insight", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1dc70f0b99d58d66e53", "title" : "Software Development Engineer, Sponsored Products and Brands Off-Search", "company" : "Amazon", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T03:41:09.536", "fingerprint" : "a879939904273629e0a912c6fdf0e8b3e0b6bbab2d1e5124e869107406616e5e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102524/apply", "externalId" : "d9035058-8e4f-4fd1-8f98-0b48c920659d", "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", "technicalSkills" : "C++, Python, Java, Perl, Generative AI, Large Language Models", "professionalSkills" : [ "System design", "Problem solving", "Algorithm design", "Complexity analysis", "Object-oriented design" ], "hardSkillsList" : [ "Data structures", "Software development" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Distributed systems", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Distributed systems" ], "coreResponsibilities" : "Design distributed systems, Develop distributed systems, Operate distributed systems, Build data pipelines, Optimize data pipelines, Apply Generative AI, Apply Large Language Models, Collaborate with scientists, Collaborate with product managers, Collaborate with engineers, Define customer-focused solutions, Deliver customer-focused solutions, Write maintainable code, Participate in design reviews, Participate in code reviews, Drive operational excellence, Monitor systems, Automate processes, Improve continuously", "teamCollaboration" : "Applied scientists; Product managers; Other engineers", "domainKnowledge" : "Sponsored Products and Brands; Advertising landscape; Machine learning infrastructure; Ad retrieval; Ad allocation; Whole-page relevance; Personalized recommendations; Advertising engineering", "domainList" : [ "sponsored-products-and-brands", "advertising-landscape", "machine-learning-infrastructure", "ad-retrieval", "ad-allocation", "whole-page-relevance", "personalized-recommendations", "advertising-engineering" ], "domainSpecificKnowledge" : [ "Sponsored Products and Brands", "Advertising landscape", "Machine learning infrastructure", "Ad retrieval", "Ad allocation", "Whole-page relevance", "Personalized recommendations", "Advertising engineering" ], "innovationCreativity" : "Generative AI technologies; Re-inventing advertising experiences; Frontier AI", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "3+ years software development experience, Bachelor's degree computer science, Knowledge of C++, Python, Java, Perl, Computer science fundamentals experience, 3+ years distributed systems experience", "qualificationsPreferred" : "5+ years full software development life cycle experience, Master's degree computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced 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 This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising. - Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations. - Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences. - Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions. - Write high-quality, maintainable code and participate in design and code reviews. - Drive operational excellence through monitoring, automation, and continuous improvement. A day in the life As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SPB across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. 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: - 3+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) - 3+ years of distributed systems experience 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 - Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling) - Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search - Experience with AWS services or other cloud offerings - Experience with end-to-end ownership of major project deliverables Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands Off-Search at Amazon. Skills: Generative AI, Large Language Models, Distributed systems. Design distributed systems. Develop distributed systems", "postedDate" : "2026-06-13T19:20:05.883", "createdAt" : "2026-06-13T19:20:05.883", "lastUpdated" : "2026-06-15T03:41:09.536", "ingestTimestamp" : "2026-06-13T19:20:05.883", "mongoId" : "68e6b1dc70f0b99d58d66e53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102524/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data structures", "Software development", "Generative AI", "Large Language Models", "Distributed systems", "System design", "Problem solving", "Algorithm design", "Complexity analysis", "Object-oriented design", "Sponsored Products and Brands", "Advertising landscape", "Machine learning infrastructure", "Ad retrieval", "Ad allocation", "Whole-page relevance", "Personalized recommendations", "Advertising engineering" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305815f292fd229cf40278", "title" : "New England Area Administrative and Communications Lead", "company" : "HDR", "salary" : { "min" : 91560.0, "max" : 130800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Massachusetts-Boston", "locations" : [ "United States-Massachusetts-Boston" ], "timestamp" : "2026-06-16T10:45:44.765", "fingerprint" : "6cb01e01bfb1b91a331a78b1b3254ba186ae8e4622a56355da581e28eb580a0e", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784798", "externalId" : "784798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "coreResponsibilities" : "Lead day-to-day Boston office administrative operations, Ensure efficient workflows, Ensure consistent processes, Ensure operational excellence across the Area, Develop administrative policies, Implement administrative policies, Maintain administrative policies, Develop administrative procedures, Implement administrative procedures, Maintain administrative procedures, Develop administrative best practices, Implement administrative best practices, Maintain administrative best practices, Supervise administrative support staff, Mentor administrative support staff, Coordinate with office administrators across multiple locations, Provide executive-level administrative support, Assist with personnel administration, Support Human Resource Representatives with recruiting, Support Human Resource Representatives with onboarding, Coordinate for interviews, Process resumes, Schedule candidate meetings, Maintain personnel records, Maintain HR-related records, Coordinate workspace planning, Coordinate workstation assignments, Coordinate office moves, Coordinate employee transitions, Ensure reception operations are supported, Ensure front-office operations are supported, Arrange backup coverage for reception, Execute temporary administrative assistance, Manage office communications, Manage meeting logistics, Manage scheduling, Manage SharePoint administration, Prepare presentations, Prepare reports, Prepare meeting materials, Coordinate internal meetings, Coordinate leadership events, Coordinate company gatherings, Coordinate employee engagement activities, Coordinate community outreach initiatives, Participate in New England Area leadership meetings, Contribute to initiatives that strengthen office culture, Contribute to initiatives that strengthen collaboration, Contribute to initiatives that strengthen employee engagement, Contribute to initiatives that strengthen operational performance", "teamCollaboration" : "Partner with New England Area leadership; Coordinate with office administrators; Coordinate with Human Resource Representatives; Coordinate with Information Technology; Coordinate with Facilities teams; Collaborate across specialties", "domainKnowledge" : "Engineering industry; Architecture industry; Construction industry", "domainList" : [ "engineering-industry", "architecture-industry", "construction-industry" ], "domainSpecificKnowledge" : [ "Engineering industry", "Architecture industry", "Construction industry" ], "toolProficiency" : [ "SharePoint" ], "continuousLearning" : "Tuition reimbursement", "qualificationsBasic" : "Associate's degree, Previous professional experience in Engineering, Architecture, or Construction industry as an office administrator/manager, Comfortable handling confidential information, Experience developing internal processes, Experience developing electronic filing systems", "qualificationsPreferred" : "Local candidates", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. At HDR, our employee‑ownership model shapes everything we do, including how we support and care for our people. Our diverse service lines, including Water, Architecture, Building Engineering Services, Field Services, Power, Waste, Industrial, and Transportation reflect our commitment to shaping resilient, sustainable, and forward‑thinking communities around the world. Across these disciplines, our teams design and deliver solutions that safeguard public health, enhance quality of life, power innovation, and drive responsible growth. Whether advancing clean water, creating healing and learning environments, engineering next‑generation facilities, or building the infrastructure that moves people and energy, our work is rooted in technical excellence and a shared sense of purpose. Our employee‑owners collaborate across specialties, combining creativity, precision, and deep expertise to solve the most complex challenges facing our clients and communities. New England Area Administrative and Communications Lead Position Summary The New England Area Administrative and Communications Lead serves as a key operational, administrative, and communications resource supporting the New England Area office and leadership team. This role is responsible for overseeing daily administrative operations, enhancing workplace efficiency, and driving employee engagement and internal communication initiatives. Working closely with leadership and administrative staff, the position supports a collaborative, high-performing, and well-connected office environment while ensuring seamless operational support across the New England Area. Key Responsibilities Lead and oversee day-to-day Boston office administrative operations, ensuring efficient workflows, consistent processes, and operational excellence across the Area. Develop, implement, and maintain administrative policies, procedures, and best practices to support organizational effectiveness. Supervise and mentor administrative support staff while coordinating with office administrators across multiple locations. Partner with New England Area leadership to provide executive-level administrative support, assist with personnel administration Support the Human Resource Representatives with recruiting and onboarding efforts by coordinating for interviews, processing resumes, scheduling candidate meetings, and maintaining personnel and HR-related records. Coordinate workspace planning, workstation assignments, office moves, and employee transitions in partnership with Human Resource Representatives, Information Technology and Facilities teams. Ensure reception and front-office operations are effectively supported, including arranging backup coverage as well as executing temporary administrative assistance when necessary. Manage office communications, meeting logistics, scheduling, SharePoint administration, and preparation of presentations, reports, and meeting materials. Coordinate internal meetings, leadership events, company gatherings, employee engagement activities, and community outreach initiatives. Participate in New England Area leadership meetings and contribute to initiatives that strengthen office culture, collaboration, employee engagement, and operational performance. Preferred Qualifications Associates degree Previous professional experience in the Engineering, Architecture, or Construction industry as an office administrator/manager Comfortable handling confidential information Experience developing internal processes and electronic filing systems Preference given to local candidates #LI-AG2 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Boston: %2491,560 - %24130,800", "summaryDescription" : "New England Area Administrative and Communications Lead at HDR. Lead day-to-day Boston office administrative operations. Ensure efficient workflows", "createdAt" : "2026-06-15T23:09:57.610", "lastUpdated" : "2026-06-16T10:45:44.765", "ingestTimestamp" : "2026-06-15T23:09:57.610", "mongoId" : "6a305815f292fd229cf40278", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 91560, "salaryAnnualMax" : 130800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Engineering industry", "Architecture industry", "Construction industry", "SharePoint" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e44c40e2acd1b99939", "title" : "Software Development Engineer, Sponsored Products and Brands Off-Search", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 158100.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T11:05:08.928", "fingerprint" : "e23d4d1b1a4ea5b7ef48eb0f90e116a6a7ba0f30c9de61b2c0588d749826f9d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412983/apply", "externalId" : "2158b858-6550-4dc0-aa5b-a03e151dc349", "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" : "C++, Python, Java, Perl, Generative AI, Large Language Models, NLP, Machine Learning, AWS", "professionalSkills" : [ "System design", "Data pipelines", "Advertising technology" ], "hardSkillsList" : [ "Algorithm design", "Problem solving", "Complexity analysis", "Object-oriented design", "Data structures" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Distributed systems, Data pipelines", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Distributed systems", "Data pipelines" ], "coreResponsibilities" : "Design distributed systems, Develop distributed systems, Operate distributed systems, Build data pipelines, Optimize data pipelines, Apply Generative AI, Apply Large Language Models, Deliver personalized ad experiences, Collaborate with scientists, Collaborate with product managers, Collaborate with engineers, Define customer-focused solutions, Deliver customer-focused solutions, Write maintainable code, Participate in design reviews, Participate in code reviews, Drive operational excellence, Improve monitoring, Improve automation, Continuous improvement", "teamCollaboration" : "Applied scientists; Product managers; Other engineers", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising; Machine learning infrastructure; Online systems; Offline data pipelines; Ad retrieval; Ad allocation; Page relevance; Recommendations; Cloud platforms", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising", "machine-learning-infrastructure", "online-systems", "offline-data-pipelines", "ad-retrieval", "ad-allocation", "page-relevance", "recommendations", "cloud-platforms" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising", "Machine learning infrastructure", "Online systems", "Offline data pipelines", "Ad retrieval", "Ad allocation", "Page relevance", "Recommendations", "Cloud platforms" ], "toolProficiency" : [ "PyTorch", "Hugging Face" ], "innovationCreativity" : "Re-inventing advertising experiences; Bridging human creativity with AI", "problemSolvingSkills" : "Problem solving; Complexity analysis", "qualificationsBasic" : "3+ years professional software development experience, Knowledge of C++, Python, Java, or Perl, Computer science fundamentals experience, Large-scale distributed systems experience", "qualificationsPreferred" : "5+ years full software development life cycle experience, Hands-on Generative AI experience, Hands-on Large Language Model experience, Familiarity with NLP/ML frameworks, Machine learning systems experience, Recommendation engines experience, Large-scale data pipelines experience, AWS services experience, Cloud platforms experience, Track record of delivering complex projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. Key job responsibilities This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising. - Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations. - Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences. - Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions. - Write high-quality, maintainable code and participate in design and code reviews. - Drive operational excellence through monitoring, automation, and continuous improvement. About the team The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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 Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. 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: - 3+ years of non-internship professional software development experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) - Experience designing, building, operating, and managing large-scale distributed systems or web services Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Hands-on experience applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale. - Familiarity with NLP/ML frameworks (e.g., PyTorch, Hugging Face). - Experience in building machine learning systems, recommendation engines, or large-scale data pipelines. - Experience with AWS services or other cloud platforms. - Strong track record of delivering complex projects end-to-end. 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 - 165,200.00 - 223,600.00 USD annually 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 Off-Search at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Distributed systems, Data pipelines. Design distributed systems. Develop distributed systems", "postedDate" : "2026-06-13T17:19:51.635", "createdAt" : "2026-06-13T17:19:51.635", "lastUpdated" : "2026-06-15T11:05:08.928", "ingestTimestamp" : "2026-06-13T17:19:51.635", "mongoId" : "69fda4e44c40e2acd1b99939", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412983/apply", "salaryAnnualMin" : 158100, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Problem solving", "Complexity analysis", "Object-oriented design", "Data structures", "Generative AI", "Large Language Models", "Distributed systems", "Data pipelines", "System design", "Advertising technology", "Sponsored Products", "Sponsored Brands", "Advertising", "Machine learning infrastructure", "Online systems", "Offline data pipelines", "Ad retrieval", "Ad allocation", "Page relevance", "Recommendations", "Cloud platforms", "PyTorch", "Hugging Face" ], "skillCount" : 24, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2c7a7b74d8ee00a09459db", "title" : "Research Analyst (SAS and R)", "company" : "DLH", "industry" : "Government", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T08:35:13.886", "fingerprint" : "044adf264f86f139f7006f1e692c2a1b6adc98c8ab72cf00ef85c0d9ebb4accc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dlhcorporation/jobs/5159830007", "externalId" : "5159830007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SAS, R, SQL, Python", "professionalSkills" : [ "Data validation", "Data management", "Data analysis", "Data dissemination", "Geospatial analysis", "Molecular analysis", "Code development" ], "hardSkillsList" : [ "Statistical analysis", "Data quality assessment", "Data discrepancy identification", "Codebook development", "Data management plans", "Duplicate procedures", "SAS programming", "R coding", "HIV analysis", "Molecular analysis", "Report generation", "Data manipulation", "Data cleaning" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data quality assessment", "level" : "intermediate" }, { "name" : "Data discrepancy identification", "level" : "intermediate" }, { "name" : "Codebook development", "level" : "intermediate" }, { "name" : "Data management plans", "level" : "intermediate" }, { "name" : "Duplicate procedures", "level" : "intermediate" }, { "name" : "SAS programming", "level" : "intermediate" }, { "name" : "R coding", "level" : "intermediate" }, { "name" : "HIV analysis", "level" : "intermediate" }, { "name" : "Molecular analysis", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" } ], "majorSkills" : "SAS, R, Data analysis, Data validation", "majorSkillsList" : [ "SAS", "R", "Data analysis", "Data validation" ], "coreResponsibilities" : "Develop SAS programs, Validate surveillance data, Validate clinical data, Validate research data, Verify dataset variables, Identify data discrepancies, Develop codebooks, Develop data management plans, Run duplicate procedures, Compare results, Conduct geospatial analysis, Conduct molecular analysis, Interpret R results, Develop novel code, Support data dissemination, Support data reporting, Work with federal partners, Support funded jurisdictions, Support funded CBOs", "teamCollaboration" : "Work collaboratively with analysts; Work alongside federal partners", "domainKnowledge" : "HIV surveillance; Molecular data; Public health; Public health surveillance", "domainList" : [ "hiv-surveillance", "molecular-data", "public-health", "public-health-surveillance" ], "domainSpecificKnowledge" : [ "HIV surveillance", "Molecular data", "Public health", "Public health surveillance" ], "toolProficiency" : [ "SAS", "R", "Power BI" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Codebook development; Data management plans; Meticulous documentation", "problemSolvingSkills" : "Identify data discrepancies; Data quality assessment", "specialRequirements" : "Obtain NAC clearance, Reside near Atlanta, Reside near Chicago, Reside near Washington DC, Occasional in-person meetings", "qualificationsBasic" : "Bachelor's degree, 2 years of experience, SAS or R experience, Work with multiple data sources, Strong SAS experience, Clear communication", "qualificationsPreferred" : "Experience with HIV surveillance, Prior experience with federal agency, Master's degree, Experience creating dashboards, Generating SAS-based reports, Knowledge of HIV, Experience with large datasets, Detail-oriented, Organizational skills, Interpersonal skills, Proficient SAS or R coding, Manipulating and cleaning data, Experience with surveillance data, Experience with research data", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp, is looking for a Public Health Research Analyst, using SAS or R, to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). This position is 100% remote. However, employees may be required to attend occasional in-person meetings, trainings, or team events on an as-needed basis. To support onboarding and compliance requirements, candidates must reside within reasonable commuting distance of Atlanta, GA; Chicago, IL; or Washington, DC. Access to one of these secure office locations is required for smart card issuance, background investigation processing, and other periodic administrative or security-related activities. CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. Responsibilities Develop SAS programs for validating surveillance, clinical, or research study data. Verify that all variables that should be included in the resulting dataset are present in the dataset and extraneous variables are excluded. Identify data discrepancies and other inconsistencies in the resulting dataset. Develop codebooks and data management plans. Run duplicate procedures and comparison of results to ensure validity with applicable standards of the resulting final data sets, indicators, questionnaire coding, metadata set, SAS programming, and output files. Conduct geospatial and molecular HIV analysis and interpret results using R. Work collaboratively with other analysts to develop novel code in support of analyses. Support dissemination and reporting of data to internal and external partners. Work alongside federal partners to support funded jurisdictions or funded CBOs. Qualifications Bachelor’s degree in public health, statistics, or related field. 2 years of experience working with R or SAS Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness. Strong, demonstrated experience with SAS. Familiarity with R coding. Clear communication (written and verbal). Must be able to obtain a NAC clearance Preferred Qualifications Experience with HIV surveillance or research data. Prior experience with CDC, HHS, or other federal or state health agency. Master’s degree in public health, statistics, or related field. Experience creating and managing dashboards using Power BI. 2 years of experience in generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML. Knowledge of HIV, molecular data, and public health surveillance systems. Experience with large (>500,000 observations), document-based datasets. Detail-oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and products. Strong organizational and interpersonal skills. Proficient SAS or R coding experience (SAS MACROS, PROC SQL, FORMATS, etc.). Manipulating and cleaning data using a variety of SAS functions, formats/informats, and procedures. Generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML. Experience with behavioral or clinical surveillance data and/or primary or secondary research data. Basic Compensation: $50,000 - $70,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law. Benefits DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. #LI-REMOTE EEO DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply. DLH is committed to maintaining a fair and authentic interview process", "summaryDescription" : "Research Analyst (SAS and R) at DLH. Skills: SAS, R, Data analysis, Data validation. Develop SAS programs. Validate surveillance data", "postedDate" : "2026-06-14T03:34:53.454", "createdAt" : "2026-06-14T03:34:53.454", "lastUpdated" : "2026-06-15T08:35:13.886", "ingestTimestamp" : "2026-06-14T03:34:53.454", "mongoId" : "6a2c7a7b74d8ee00a09459db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data quality assessment", "Data discrepancy identification", "Codebook development", "Data management plans", "Duplicate procedures", "SAS programming", "R coding", "HIV analysis", "Molecular analysis", "Report generation", "Data manipulation", "Data cleaning", "SAS", "R", "Data analysis", "Data validation", "Data management", "Data dissemination", "Geospatial analysis", "Code development", "HIV surveillance", "Molecular data", "Public health", "Public health surveillance", "Power BI" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e4ce260f92cbf8ebea", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T04:30:12.071", "fingerprint" : "4c3ef41ac93a5b7b891c5b7f2c818baf72f5e901c05cb63ef0dfab0c9c580562", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099511/apply", "externalId" : "bfdf2046-c583-4393-91a1-04ff8140add1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Unix/Linux", "professionalSkills" : [ "Machine learning engineering", "Deep learning", "LLM inference infrastructure", "GenAI workloads" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, Generative AI, LLM", "majorSkillsList" : [ "Machine learning", "Deep learning", "Generative AI", "LLM" ], "coreResponsibilities" : "Develop scalable machine learning models, Develop effective machine learning models, Develop optimization strategies, Conduct research on new machine learning modeling, Optimize all aspects of Sponsored Products business, Enhance scalability of training systems, Enhance automation of training systems, Enhance efficiency of training systems, Enhance scalability of inference systems, Enhance automation of inference systems, Enhance efficiency of inference systems, Pioneer development of LLM inference infrastructure, Support next-generation GenAI workloads", "teamCollaboration" : "Partner with engineers and scientists", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Amazon Ads; Advertising landscape; Customer experience; Advertising lifecycle; Advertising performance; Customer insights; AI technologies; Marketplace; Ad response prediction; GenAI workloads", "domainList" : [ "sponsored-products", "sponsored-brands", "amazon-ads", "advertising-landscape", "customer-experience", "advertising-lifecycle", "advertising-performance", "customer-insights", "ai-technologies", "marketplace", "ad-response-prediction", "genai-workloads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction", "GenAI workloads" ], "innovationCreativity" : "Innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems; Innovators dedicated to developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products and Brands at Amazon.com LLC. Skills: Machine learning, Deep learning, Generative AI, LLM. Develop scalable machine learning models. 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 } ], "status" : 200, "message" : "research and evaluation of new software and hardware products jobs", "metadata" : { "title" : "research and evaluation of new software and hardware products" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 74727, "totalPages" : 1495, "hasNext" : true, "hasPrevious" : false } }

Remote Research And Evaluation Of New Software And Hardware Products Jobs

Top Skills

Director of Research and Engineering, Health and Home

Software Development Engineer, Products and Solutions

Software Development Engineer, Products and Solutions

Director (Regulation and Prequalification of Medicines and Health Products)

Monitoring and Evaluation Specialist

Sr. Software Development Engineer, Products and Solutions

Head of Brand, Products, Solutions and Data, YouTube

RAG and Evaluation Engineer

Monitoring, Evaluation and Learning (MEL) Intern

Internship - Evaluation of Fission Yield and Fission Neutron Data

Software Development Engineer, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Research and Prototyping Engineer

Program Lead, gTech Users and Products

Software Development Engineer, Sponsored Products and Brands

Software Development Engineer II, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Manager, Products and Solutions

Monitoring and Evaluation Manager (M&E)

Performance Measurement and Evaluation Intern

Software Development Engineer, Sponsored Products and Brands

Senior Software Development Engineer, Sponsored Products and Brands

Software Development Manager, Sponsored Products and Brands

Autonomous Hardware and Radio Technician

Software Development Engineer, Sponsored Products and Brands

Design Engineer (Aerospace and Defense Products)

Director of Warehouse and Distribution

Sr. Software Dev. Engineer, Sponsored Products and Brands, Sposored Products

Associate General Counsel (Product and Research)

Software Development Engineer II, Sponsored Products and Brands

Senior Software Development Engineer, AWS Professional Services - Products and Solutions

Director of Health and Wellness

Director of Health and Wellness

Professor of Counselling and Head of Discipline (Art Therapy and Counselling)

Product Quality Engineer, Hardware Quality and Reliability

Software Development Engineer II, Sponsored Products and Brands

Sr Software Development Engineer, Sponsored Products and Brands

Assistant Director Program Evaluation and Project Management

Software Development Manager, Advertising Support Products and Services

Senior Software Development Engineer, Sponsored Products and Brands

Member of Technical Staff — Model Optimization and Inference (New Grad)

Business Development Manager (OMP Software - Packaging and Paper Products)

Software Dev Engineer II, Sponsored Products and Brands

Research Lead, New AI Products & Platforms

Software Development Engineer, Sponsored Products and Brands Off-Search

New England Area Administrative and Communications Lead

Software Development Engineer, Sponsored Products and Brands Off-Search

Research Analyst (SAS and R)

Applied Scientist, Sponsored Products and Brands

Related Searches

All Research And Evaluation Of New Software And Hardware Products Jobs by City

More Remote Jobs

Common Questions