{ "count" : 43254, "data" : [ { "id" : "6a306f87f292fd229cfe9c21", "title" : "Manager, Cleaning and Waste Planning & Integration", "company" : "LA28", "industry" : "Sports & Fitness", "salary" : { "min" : 88000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "certifications" : [ "PMP Certification" ], "timestamp" : "2026-06-16T12:03:59.329", "fingerprint" : "5ea1c9f6db1c731dc9b01b7893f337886d02eae0542a20df0717a0ee98759d1a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/la2028/jobs/7770762003", "externalId" : "7770762003", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "MS Project, Asana, Jira", "professionalSkills" : [ "Cross-functional initiatives", "Stakeholder management", "Action-tracking" ], "hardSkillsList" : [ "Planning processes", "Reporting tools" ], "hardSkills" : [ { "name" : "Planning processes", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" } ], "majorSkills" : "Planning, Integration, Event delivery", "majorSkillsList" : [ "Planning", "Integration", "Event delivery" ], "coreResponsibilities" : "Manage cleaning planning, Manage waste planning, Manage integration, Perform other duties, Evolve operational responsibilities", "teamCollaboration" : "Cross-functional initiatives; Multiple stakeholders", "projectManagementSkills" : [ "Project management", "Program management", "Planning", "Event delivery" ], "domainKnowledge" : "Olympic Games; Paralympic Games; Major event delivery; Venue operations; Logistics; Hospitality; Transportation", "domainList" : [ "olympic-games", "paralympic-games", "major-event-delivery", "venue-operations", "logistics", "hospitality", "transportation" ], "domainSpecificKnowledge" : [ "Olympic Games", "Paralympic Games", "Major event delivery", "Venue operations", "Logistics", "Hospitality", "Transportation" ], "toolProficiency" : [ "MS Project", "Asana", "Jira" ], "communicationSkills" : "Facilitation", "specialRequirements" : "Work onsite, Office setting, Open floorplan, Work evenings, Work weekends, Work holidays, Peak event periods", "qualificationsBasic" : "5+ years project management, 5+ years program management, 5+ years planning, 5+ years consulting, 5+ years large-scale event delivery, Manage complex cross-functional initiatives, Develop schedules, Develop reporting tools, Develop planning processes, Bachelor's degree in Business/Project Management, Bachelor's degree in Operations Management, Bachelor's degree in Engineering, Bachelor's degree in Logistics, Bachelor's degree in Event Management, Bachelor's degree in a related field", "qualificationsPreferred" : "Master Degree in related field, PMP Certification, Experience leveraging AI-enabled workplace tools, Experience leveraging productivity tools, Venue operations experience, Major events experience, Logistics experience, Hospitality experience, Transportation experience, Similar operational environments experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LA28 does not provide relocation assistance. LA28 is the independent, non-profit, privately funded organizing committee for the Los Angeles 2028 Olympic and Paralympic Games. We are on a singular mission to create an Olympic and Paralympic Games that celebrate all that this city and country have to offer, delivering an unparalleled experience for athletes, fans, partners and our community. The 2028 Games mark the return of the Summer Games to the U. S. for the first time in 32 years and Los Angeles’ third time hosting an Olympic Games and first time welcoming the Paralympic Games. This presents the unique and exciting opportunity to celebrate our legacy with the Games and push the Olympic and Paralympic Movements forward, writing a new chapter of Games history in Los Angeles. Putting on an Olympic and Paralympic Games is a team sport. To build a Games unlike any the world has seen before, we need the best team in place–a team full of diverse perspectives, experiences and expertise. We are guided by the following set of values and behaviors–optimism, integrity, excellence, inclusion, co-creation and boldness–and look forward to hearing about how your past experiences align with them. Manager, Cleaning and Waste Planning MS Project, Asana, Jira, or similar platforms). Experience leveraging AI-enabled workplace and productivity tools preferred. Exceptional organizational skills with strong attention to detail and follow-through. Strong stakeholder management, communication, facilitation, and action-tracking capabilities. Ability to manage multiple priorities and deliver results in a fast-paced, evolving environment. Experience: 5+ years in project management, program management, planning, consulting, or large-scale event delivery. Managing complex cross-functional initiatives with multiple stakeholders and competing priorities. Developing schedules, reporting tools, and planning processes. Venue operations, major events, logistics, hospitality, transportation, or similar operational environments preferred. Olympic, Paralympic or other major event experience preferred Education: Bachelors degree in Bachelor's degree in Business/Project Management, Operations Management, Engineering, Logistics, Event Management, or a related field  required Master Degree in related field preferred PMP Certification preferred Physical Requirements and Working Conditions: Available to work onsite in our Downtown Los Angeles-based office.   The majority of work will be conducted in an office setting, requiring extended periods of time using computers, phones, and other office equipment.    The LA28 office is an open floorplan working environment; employees must be able to work efficiently in an open cubicle environment.    Hours of work may vary, including evenings, weekends, and holidays, especially during peak event periods.  Perform other duties as required; the role will evolve over time and may include operational responsibilities during the Olympic and Paralympic Games. The annual base salary range for this position is $88,000.00 - $115,000.00. The pay scale provided is the range that LA28 reasonably expects to pay as starting base compensation for this role. All LA28 compensation remains subject to final determination based on individual candidate qualifications, experience, or other reasonable criteria consistent with LA28’s operational business needs and applicable law. LA28 does not provide relocation assistance. LA28 is committed to fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. LA28 will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring Ordinance and all applicable laws. We strive to build a team that is inclusive and encourage qualified candidates of all backgrounds, perspectives, and identities to apply. We assess applications based on relevant skills, education, and experience a candidate can add to our team.", "summaryDescription" : "Manager, Cleaning and Waste Planning & Integration at LA28. Skills: Planning, Integration, Event delivery. Manage cleaning planning. Manage waste planning", "postedDate" : "2026-06-16T01:15:44.424", "createdAt" : "2026-06-16T01:15:44.424", "lastUpdated" : "2026-06-16T12:03:59.329", "ingestTimestamp" : "2026-06-16T01:15:44.424", "mongoId" : "6a306f87f292fd229cfe9c21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 88000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Planning processes", "Reporting tools", "Planning", "Integration", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking", "Project management", "Program management", "Olympic Games", "Paralympic Games", "Major event delivery", "Venue operations", "Logistics", "Hospitality", "Transportation", "PMP Certification", "MS Project", "Asana", "Jira" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b2cf292fd229cf5a2d1", "title" : "Manager, Cleaning and Waste Planning & Integration", "company" : "LA28", "industry" : "Sports & Fitness", "salary" : { "min" : 88000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "certifications" : [ "PMP Certification" ], "timestamp" : "2026-06-16T08:14:43.017", "fingerprint" : "a2fce7df56604f8201b4638b729b8ca8fb9791c392c03eaeb540543ee237a8db", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/la28careers/jobs/7772720003", "externalId" : "7772720003", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "Program management", "Planning", "Consulting", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking" ], "majorSkills" : "Planning, Integration, Waste management, Cleaning operations", "majorSkillsList" : [ "Planning", "Integration", "Waste management", "Cleaning operations" ], "coreResponsibilities" : "Plan cleaning operations, Plan waste operations, Integrate cleaning plans, Integrate waste plans, Develop schedules, Develop reporting tools, Develop planning processes, Manage multiple priorities, Deliver results, Perform other duties, Evolve role responsibilities, Manage operational responsibilities during Games", "teamCollaboration" : "Cross-functional initiatives; Multiple stakeholders", "projectManagementSkills" : [ "Project management", "Program management", "Planning", "Scheduling" ], "domainKnowledge" : "Venue operations; Major events; Logistics; Hospitality; Transportation; Olympic Games; Paralympic Games", "domainList" : [ "venue-operations", "major-events", "logistics", "hospitality", "transportation", "olympic-games", "paralympic-games" ], "domainSpecificKnowledge" : [ "Venue operations", "Major events", "Logistics", "Hospitality", "Transportation", "Olympic Games", "Paralympic Games" ], "toolProficiency" : [ "MS Project", "Asana", "Jira" ], "specialRequirements" : "Work onsite, Work in open floorplan, Work evenings, Work weekends, Work holidays", "qualificationsBasic" : "5+ years in project management, 5+ years in program management, 5+ years in planning, 5+ years in consulting, 5+ years in large-scale event delivery, Manage complex cross-functional initiatives, Develop schedules, Develop reporting tools, Develop planning processes, Bachelor's degree in Business/Project Management, Bachelor's degree in Operations Management, Bachelor's degree in Engineering, Bachelor's degree in Logistics, Bachelor's degree in Event Management, Bachelor's degree in a related field", "qualificationsPreferred" : "Experience leveraging AI-enabled workplace and productivity tools, Master Degree in related field, PMP Certification, Venue operations experience, Major events experience, Logistics experience, Hospitality experience, Transportation experience, Similar operational environments experience, Olympic event experience, Paralympic event experience, Other major event experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LA28 does not provide relocation assistance. LA28 is the independent, non-profit, privately funded organizing committee for the Los Angeles 2028 Olympic and Paralympic Games. We are on a singular mission to create an Olympic and Paralympic Games that celebrate all that this city and country have to offer, delivering an unparalleled experience for athletes, fans, partners and our community. The 2028 Games mark the return of the Summer Games to the U. S. for the first time in 32 years and Los Angeles’ third time hosting an Olympic Games and first time welcoming the Paralympic Games. This presents the unique and exciting opportunity to celebrate our legacy with the Games and push the Olympic and Paralympic Movements forward, writing a new chapter of Games history in Los Angeles. Putting on an Olympic and Paralympic Games is a team sport. To build a Games unlike any the world has seen before, we need the best team in place–a team full of diverse perspectives, experiences and expertise. We are guided by the following set of values and behaviors–optimism, integrity, excellence, inclusion, co-creation and boldness–and look forward to hearing about how your past experiences align with them. Manager, Cleaning and Waste Planning MS Project, Asana, Jira, or similar platforms). Experience leveraging AI-enabled workplace and productivity tools preferred. Exceptional organizational skills with strong attention to detail and follow-through. Strong stakeholder management, communication, facilitation, and action-tracking capabilities. Ability to manage multiple priorities and deliver results in a fast-paced, evolving environment. Experience: 5+ years in project management, program management, planning, consulting, or large-scale event delivery. Managing complex cross-functional initiatives with multiple stakeholders and competing priorities. Developing schedules, reporting tools, and planning processes. Venue operations, major events, logistics, hospitality, transportation, or similar operational environments preferred. Olympic, Paralympic or other major event experience preferred Education: Bachelors degree in Bachelor's degree in Business/Project Management, Operations Management, Engineering, Logistics, Event Management, or a related field  required Master Degree in related field preferred PMP Certification preferred Physical Requirements and Working Conditions: Available to work onsite in our Downtown Los Angeles-based office.   The majority of work will be conducted in an office setting, requiring extended periods of time using computers, phones, and other office equipment.    The LA28 office is an open floorplan working environment; employees must be able to work efficiently in an open cubicle environment.    Hours of work may vary, including evenings, weekends, and holidays, especially during peak event periods.  Perform other duties as required; the role will evolve over time and may include operational responsibilities during the Olympic and Paralympic Games. The annual base salary range for this position is $88,000.00 - $115,000.00. The pay scale provided is the range that LA28 reasonably expects to pay as starting base compensation for this role. All LA28 compensation remains subject to final determination based on individual candidate qualifications, experience, or other reasonable criteria consistent with LA28’s operational business needs and applicable law. LA28 does not provide relocation assistance. LA28 is committed to fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. LA28 will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring Ordinance and all applicable laws. We strive to build a team that is inclusive and encourage qualified candidates of all backgrounds, perspectives, and identities to apply. We assess applications based on relevant skills, education, and experience a candidate can add to our team.", "summaryDescription" : "Manager, Cleaning and Waste Planning & Integration at LA28. Skills: Planning, Integration, Waste management, Cleaning operations. Plan cleaning operations. Plan waste operations", "postedDate" : "2026-06-15T23:28:40.634", "createdAt" : "2026-06-15T23:28:40.634", "lastUpdated" : "2026-06-16T08:14:43.017", "ingestTimestamp" : "2026-06-15T23:28:40.634", "mongoId" : "6a305b2cf292fd229cf5a2d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 88000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Planning", "Integration", "Waste management", "Cleaning operations", "Project management", "Program management", "Consulting", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking", "Scheduling", "Venue operations", "Major events", "Logistics", "Hospitality", "Transportation", "Olympic Games", "Paralympic Games", "PMP Certification", "MS Project", "Asana", "Jira" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d97d274d8ee00a0c4e7fa", "title" : "Manager, Products and Solutions", "company" : "Mastercard", "industry" : "FinTech", "salary" : { "min" : 750000.0, "max" : 1100000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in FinTech in Johannesburg, South Africa, adjusted for seniority and company size." }, "location" : "Johannesburg, South Africa", "locations" : [ "Johannesburg, South Africa" ], "timestamp" : "2026-06-16T00:45:53.184", "fingerprint" : "b25b100a7374bc2294e8dc89d49a2ea7c5008a6f0c40946cb0a7706e56d0644b", "source" : "workday", "language" : "en", "applyUrl" : "https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Johannesburg-South-Africa/Manager--Products-and-Solutions_R-277283", "externalId" : "R-277283", "industryFunction" : { }, "locationPoint" : "-26.20227,28.04363", "structuredLocations" : [ { "city" : "Johannesburg", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-26.2050000,28.0497220" } ], "locationText" : "Johannesburg, South Africa", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Sales strategies", "Market intelligence", "Market requirements", "Financial modeling", "Business cases", "Contract development", "Solution implementation", "Presentation development" ], "hardSkillsList" : [ "Sales goals achievement", "Pipeline management", "Customer data analysis" ], "softSkillsList" : [ "Negotiation" ], "hardSkills" : [ { "name" : "Sales goals achievement", "level" : "intermediate" }, { "name" : "Pipeline management", "level" : "intermediate" }, { "name" : "Customer data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" } ], "majorSkills" : "Payment Gateway Sales, Fraud Solutions Sales", "majorSkillsList" : [ "Payment Gateway Sales", "Fraud Solutions Sales" ], "coreResponsibilities" : "Develop sales strategies, Execute sales strategies, Achieve sales objectives, Achieve revenue objectives, Achieve profit objectives, Provide subject matter expertise, Leverage integrated solutions, Drive sales goals, Drive revenue goals, Provide market intelligence, Provide market requirements, Support product design, Support product development, Support product implementation, Build sales pipeline, Manage sales pipeline, Monitor opportunities, Deliver Payment Gateway revenues, Establish sales pipeline, Maintain sales pipeline, Build customer relationships, Manage customer relationships, Identify sales leads, Close new business, Generate incremental revenue, Develop financial modeling, Develop business cases, Coordinate contract development, Implement customized solutions, Develop presentation materials, Coordinate presentation materials, Deliver presentation materials, Analyze customer data, Interpret customer data, Ensure optimal operations, Identify customer challenges, Resolve customer challenges, Escalate customer challenges, Participate in customer planning, Participate in product prioritization, Coordinate transitions", "teamCollaboration" : "Collaboration with Account Management; Collaboration with Business Development; Collaboration with implementation teams", "domainKnowledge" : "Payment Gateway; Fraud Solutions; Online Payments; eCommerce; VAS solutions; Alternative Payment Methods; Mobile Commerce; E-wallets; Multi-channel Processing; Acquiring; Consumer Payments", "domainList" : [ "payment-gateway", "fraud-solutions", "online-payments", "ecommerce", "vas-solutions", "alternative-payment-methods", "mobile-commerce", "e-wallets", "multi-channel-processing", "acquiring", "consumer-payments" ], "domainSpecificKnowledge" : [ "Payment Gateway", "Fraud Solutions", "Online Payments", "eCommerce", "VAS solutions", "Alternative Payment Methods", "Mobile Commerce", "E-wallets", "Multi-channel Processing", "Acquiring", "Consumer Payments" ], "communicationSkills" : "Customized presentations", "problemSolvingSkills" : "Customer challenge resolution", "outcomesObjectives" : "Achieve sales objectives; Achieve revenue objectives; Achieve profit objectives; Deliver Payment Gateway revenues; Close new business; Generate incremental revenue", "qualificationsBasic" : "Extensive sales experience, Customer interaction experience, Closing individual deals, Achieving sales goals, Payment gateway experience, Fraud screening experience, Alternative payment methods experience, Mobile commerce experience, E-wallets experience, Multi-channel processing experience, Acquiring experience, Account management experience, Understanding customer needs, Understanding marketplace dynamics, Understanding industry trends, Understanding competitive landscape, Interpersonal skills, Negotiation skills, International communication experience, Senior management level communication", "qualificationsPreferred" : "Relevant tertiary qualifications, Payments industry track record, Consumer payments deep knowledge, High preference for action, Results driven, Disciplined approach to sales targets, Relationship management skills, Managing multiple stakeholders, Multicultural environment experience, Matrixed environment experience, Multiple geographic locations experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Manager, Products and Solutions ### • Develop and execute sales strategies in line with regional and country objectives, that achieve sales, revenue and profit objectives for MPGS, Brighterion, Simplify and other VAS solutions in Southern Africa • Provides Payment Gateway/Fraud solutions, online payments, eCommerce subject matter expertise and leverages MasterCard integrated solutions to drive sales and revenue goals • Provides market intelligence and market requirements to product developers and product managers to support product design, development and implementation efforts • Build and manage a strong sales pipeline and monitor opportunities Key Responsibilities • Deliver on assigned market development Payment Gateway revenues through establishing and maintaining a strong sales pipeline. • Build and manage relationships with acquirers and non-traditional customers like merchants, payment facilitators and payment service providers. • Identify sales leads and close new business in collaboration with Account Management and Business Development in a highly competitive consultative selling environment and generates incremental revenue from existing clients • Develop financial modeling and business cases for identified opportunities, as well as coordinate contract development. • Implement customized solutions that drive value creation for the customer and Mastercard • Develop, coordinate and deliver customized presentation materials for identified opportunities • Analyze and interpret customer data to ensure operations are at optimal levels • Provide support by identifying and resolving customer challenges and escalating within the product vertical as required • Actively participate in the customer planning and product prioritization process • Coordinates transitions between sales and implementation teams Experiences • Extensive experience in a sales/commercial environment including interacting with customers and closing individual deals within a single market • Demonstrated expertise and success in achieving sales goals over multiple products • Experience with payment gateways, fraud screening, alternative payment methods, mobile commerce, e-wallets, multi-channel processing and acquiring • Strong account management experience - ability to understand customer and constituent needs, marketplace dynamics, industry trends and the competitive landscape. • Strong interpersonal and negotiation skills - extensive experience in communicating in international environment at senior management level. Desirable capabilities: • Relevant tertiary qualifications with a strong track record in the payments industry and deep knowledge of consumer payments. • High preference for action - results driven and with a disciplined approach to deliver sales targets. • Strong relationship management skills - experience of managing multiple stakeholders in a multicultural environment, matrixed environment, across multiple geographic locations. ### ### **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.", "summaryDescription" : "Manager, Products and Solutions at Mastercard. Skills: Payment Gateway Sales, Fraud Solutions Sales. Develop sales strategies. Execute sales strategies", "postedDate" : "2026-06-12T20:49:21.119", "createdAt" : "2026-06-14T20:49:21.103", "lastUpdated" : "2026-06-16T00:45:53.184", "ingestTimestamp" : "2026-06-14T20:49:21.103", "mongoId" : "6a2d97d274d8ee00a0c4e7fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Johannesburg-South-Africa/Manager--Products-and-Solutions_R-277283", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sales goals achievement", "Pipeline management", "Customer data analysis", "Negotiation", "Payment Gateway Sales", "Fraud Solutions Sales", "Sales strategies", "Market intelligence", "Market requirements", "Financial modeling", "Business cases", "Contract development", "Solution implementation", "Presentation development", "Payment Gateway", "Fraud Solutions", "Online Payments", "eCommerce", "VAS solutions", "Alternative Payment Methods", "Mobile Commerce", "E-wallets", "Multi-channel Processing", "Acquiring", "Consumer Payments" ], "skillCount" : 25, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "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" : "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" : "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" : "6a2c7f7274d8ee00a0955693", "title" : "Automation and Equipment Engineering Intern", "company" : "Veracyte", "industry" : "Biotech", "salary" : { "min" : 48000.0, "max" : 68000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Automation and Equipment Engineering Intern in San Diego, biotech industry, adjusted for company size and seniority." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-15T09:15:22.701", "fingerprint" : "3e6cbd3c83942fefb0b74c3e6bf52cef862d14ebfc0f0fba82522e26562d92eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://veracyte.com/job-detail?gh_jid=5162435007", "externalId" : "5162435007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python", "professionalSkills" : [ "Process improvement", "Inventory management" ], "hardSkillsList" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods" ], "hardSkills" : [ { "name" : "Equipment calibration", "level" : "intermediate" }, { "name" : "Equipment verification", "level" : "intermediate" }, { "name" : "Equipment validation", "level" : "intermediate" }, { "name" : "Equipment reliability", "level" : "intermediate" }, { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Liquid handling methods", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Equipment Engineering, Laboratory Automation", "majorSkillsList" : [ "Automation Engineering", "Equipment Engineering", "Laboratory Automation" ], "coreResponsibilities" : "Support process improvement projects, Support automation projects, Explore development of lab automation scripts, Explore integration with multiple devices, Assist with inventory management, Maintain a safe lab environment, Adhere to safety protocols, Adhere to quality protocols, Present project progress, Present data, Present technical insights", "teamCollaboration" : "Working with software systems; Working with physical systems; Contributing as part of a team", "domainKnowledge" : "Cancer diagnostics; Laboratory Automation", "domainList" : [ "cancer-diagnostics", "laboratory-automation" ], "domainSpecificKnowledge" : [ "Cancer diagnostics", "Laboratory Automation" ], "documentationSkills" : "Document work clearly", "continuousLearning" : "Learn and grow within a purpose driven environment", "innovationCreativity" : "Pursue bold ideas", "problemSolvingSkills" : "Solving practical problems", "specialRequirements" : "Part time, 20-30 hours a week, Approximately 12 weeks, June-September", "qualificationsBasic" : "Bachelor's degree in engineering, Bachelor's degree in computer science, Bachelor's degree in biology, Minimum cumulative GPA of 3.0, Working knowledge of Python, Attention to detail, Organizational skills, Ability to follow written procedures, Document work clearly", "qualificationsPreferred" : "Previous lab experience in biotech, Working in an academic lab is a plus, Communication skills, Willingness to collaborate across teams", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position: Veracyte is seeking an exceptional candidate for a summer internship in the Automation and Equipment Engineering teams. The Automation team is responsible for designing, programming, implementing, and maintaining complex automated liquid handling methods to support cancer patient diagnostics. Additionally, the Equipment Engineering team is responsible for the calibration, verification, validation, reliability, and repair of common and complex equipment within Veracyte’s laboratories. This role is a fantastic opportunity to gain hands-on, applied skills in the cutting-edge field of Laboratory Automation and Equipment Engineering, gaining experience with industry-leading equipment and tools. The role will be part time, 20-30 hours a week, for approximately 12 weeks from June-September at our labs in San Diego, California. What You’ll do: Support process improvement and automation projects within the laboratory Explore development of lab automation scripts and integration with multiple devices using python Assist with inventory management of equipment spare parts Maintain a safe and organized lab environment, strictly adhering to all safety and quality protocols Present project progress, data, and technical insights to the team and department Who You Are: You are curious, organized, and motivated to learn by doing. You enjoy solving practical problems, working with both software and physical systems, and contributing as part of a team. Candidates must be able to work from 9:00 a. m. - 5:30 p.m., Monday through Friday in our San Diego, CA laboratory facilities. Qualifications Currently pursuing a Bachelor's degree in engineering, computer science, biology, or a related technical field minimum cumulative GPA of 3.0 Working knowledge of Python Strong attention to detail and organizational skills Ability to follow written procedures and document work clearly Comfortable working in a laboratory or technical environment Previous lab experience in biotech or working in an academic lab is a plus Strong communication skills and willingness to collaborate across teams #LI-Onsite The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $23—$27 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com", "summaryDescription" : "Automation and Equipment Engineering Intern at Veracyte. Skills: Automation Engineering, Equipment Engineering, Laboratory Automation. Support process improvement projects. Support automation projects", "postedDate" : "2026-06-14T02:14:00.757", "createdAt" : "2026-06-14T02:14:00.757", "lastUpdated" : "2026-06-15T09:15:22.701", "ingestTimestamp" : "2026-06-14T02:14:00.757", "mongoId" : "6a2c7f7274d8ee00a0955693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods", "Automation Engineering", "Equipment Engineering", "Laboratory Automation", "Process improvement", "Inventory management", "Cancer diagnostics" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26122beec4dd3d90b446", "title" : "EVS Equipment and Supply Tech", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 37000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level EVS Equipment and Supply Tech in Tampa, FL, adjusted for the healthcare industry and company size." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "timestamp" : "2026-06-16T02:28:17.203", "fingerprint" : "c5b18cac3775d61d2989b2513dc76f0f30fef1bcdd5baf0fa9056a64d1c8a2e8", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676634", "externalId" : "676634", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "High School", "experienceMinYears" : 3, "experienceMaxYears" : 6, "coreResponsibilities" : "Prepare supply orders for Environmental Services Aide, Conduct weekly inventory of supplies, Prepare supply request and submit to purchasing, Wash and dry mops, Wash and dry dust mops, Wash and dry window treatments, Wash and dry cubicle curtains", "domainKnowledge" : "Environmental services; Hospital setting", "domainList" : [ "environmental-services", "hospital-setting" ], "domainSpecificKnowledge" : [ "Environmental services", "Hospital setting" ], "specialRequirements" : "Direct supervision of Director and Assistant Director", "qualificationsBasic" : "Completion of 10th grade, 3-6 months experience in environmental services, Ability to follow oral and written instructions, Ability to lift minimum of 25lbs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under the direct supervision of Director and Assistant Director of Environmental Services, the storeroom aide is responsible for preparing supply orders for the Environmental Services Aide, as well as conducts weekly inventory of supplies. Once weekly, prepares orders supply request and submits to purchasing. Daily washes and dries mops/dust mops/window treatments and cubicle curtains for the department by utilizing department washer and dryer. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Ability to follow oral and written instructions. Ability to lift minimum of 25lbs. Completion of 10th grade or Three to six months (3-6) of experience in environmental services in a hospital setting. Tampa", "summaryDescription" : "EVS Equipment and Supply Tech at Tampa General Hospital. Prepare supply orders for Environmental Services Aide. Conduct weekly inventory of supplies", "createdAt" : "2026-06-14T18:49:55.750", "lastUpdated" : "2026-06-16T02:28:17.203", "ingestTimestamp" : "2026-06-14T18:49:55.750", "mongoId" : "69cf26122beec4dd3d90b446", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Environmental services", "Hospital setting" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b3874d8ee00a0910c4c", "title" : "Design Engineer (Aerospace and Defense Products)", "company" : "Freeform", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Design Engineer in El Segundo, United States, adjusted for the Aerospace industry." }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-16T06:18:38.070", "fingerprint" : "5960d17a556bf7ab39b4cdfd4ef976466b221f45528eab183740609142888412", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freeformfuturecorp/jobs/7770303003", "externalId" : "7770303003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "rawDescription" : "DESIGN ENGINEER (AEROSPACE AND DEFENSE PRODUCTS) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. Freeform is hiring a Design Engineer focused on aerospace employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Design Engineer (Aerospace and Defense Products) at Freeform", "postedDate" : "2026-06-14T20:03:59.249", "createdAt" : "2026-06-14T20:03:59.249", "lastUpdated" : "2026-06-16T06:18:38.070", "ingestTimestamp" : "2026-06-14T20:03:59.249", "mongoId" : "6a2c6b3874d8ee00a0910c4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e4ce260f92cbf8ebea", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T04:30:12.071", "fingerprint" : "4c3ef41ac93a5b7b891c5b7f2c818baf72f5e901c05cb63ef0dfab0c9c580562", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099511/apply", "externalId" : "bfdf2046-c583-4393-91a1-04ff8140add1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, Unix/Linux", "professionalSkills" : [ "Machine learning engineering", "Deep learning", "LLM inference infrastructure", "GenAI workloads" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, Generative AI, LLM", "majorSkillsList" : [ "Machine learning", "Deep learning", "Generative AI", "LLM" ], "coreResponsibilities" : "Develop scalable machine learning models, Develop effective machine learning models, Develop optimization strategies, Conduct research on new machine learning modeling, Optimize all aspects of Sponsored Products business, Enhance scalability of training systems, Enhance automation of training systems, Enhance efficiency of training systems, Enhance scalability of inference systems, Enhance automation of inference systems, Enhance efficiency of inference systems, Pioneer development of LLM inference infrastructure, Support next-generation GenAI workloads", "teamCollaboration" : "Partner with engineers and scientists", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Amazon Ads; Advertising landscape; Customer experience; Advertising lifecycle; Advertising performance; Customer insights; AI technologies; Marketplace; Ad response prediction; GenAI workloads", "domainList" : [ "sponsored-products", "sponsored-brands", "amazon-ads", "advertising-landscape", "customer-experience", "advertising-lifecycle", "advertising-performance", "customer-insights", "ai-technologies", "marketplace", "ad-response-prediction", "genai-workloads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction", "GenAI workloads" ], "innovationCreativity" : "Innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems; Innovators dedicated to developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products and Brands at Amazon.com LLC. Skills: Machine learning, Deep learning, Generative AI, LLM. Develop scalable machine learning models. Develop effective machine learning models", "postedDate" : "2026-06-13T14:14:51.888", "createdAt" : "2026-06-13T14:14:51.888", "lastUpdated" : "2026-06-15T04:30:12.071", "ingestTimestamp" : "2026-06-13T14:14:51.888", "mongoId" : "68e0a7e4ce260f92cbf8ebea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099511/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "Generative AI", "LLM", "Machine learning engineering", "LLM inference infrastructure", "GenAI workloads", "Sponsored Products", "Sponsored Brands", "Amazon Ads", "Advertising landscape", "Customer experience", "Advertising lifecycle", "Advertising performance", "Customer insights", "AI technologies", "Marketplace", "Ad response prediction" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "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" : "6a305198f292fd229cf02f3c", "title" : "Sr Specialist, Special Tools and Workshop Equipment", "company" : "Scout Motors", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbia, South Carolina, United States", "locations" : [ "Columbia", "South Carolina", "United States" ], "timestamp" : "2026-06-16T11:04:16.391", "fingerprint" : "292c6ee141ac5522c06598e30bd3d7a2344ba8b1561377e72ef501bb4d259bc5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5159039007", "externalId" : "5159039007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Columbia, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Analyze repair concepts for Scout vehicles (new programs, technologies, and engineering changes) to define requirements for special tools and workshop equipment, ensuring repair quality and operational efficiency across workshops and mobile services. Drive early serviceability integration by collaborating with Engineering to ensure tool requirements are identified and validated during vehicle development phases. Evaluate and define make-or-buy strategies for special tools and equipment supporting Scout Motors workshops, mobile services, and third-party partners. Lead the design, development, validation, and release of new special tools and workshop equipment. Establish and maintain global standards and specifications for workshop tools and equipment to ensure consistency across markets. Conduct technical assessments to support Purchasing in the selection and qualification of suppliers, including cost, quality, and scalability considerations. Own the lifecycle management of special tools (introduction, updates, obsolescence, and replacement strategies). .Coordinate the inclusion and governance of tools and equipment within official catalogues and digital systems (e.g., integration with parts and workshop information media). Ensure compliance with legal, homologation, safety, and product regulatory requirements across all markets. Define and implement tool validation processes, including field testing, durability, and usability in real workshop conditions. Support digitalization initiatives, enabling integration of tools with diagnostics, connected services, and future AI-enabled workshop solutions. Develop and maintain technical documentation and training concepts for special tools and equipment (usage, maintenance, calibration, safety). Provide technical support to workshops and mobile services on tool usage, diagnostics, maintenance, and warranty topics. Monitor field feedback and repair data to continuously improve tool design, usability, and effectiveness. Collaborate cross-functionally with Engineering, Aftersales, Quality, and Operations to ensure closed-loop feedback into product and process improvements. Contribute to budget planning and cost optimization for special tools and workshop equipment programs. Location & Travel Expectations: This role will be based out of the Scout Motors location in Columbia, South Carolina. This role requires 4-5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: The role requires regular attendance at meetings and events in other Scout locations, such as Novi, MI, and Fremont, CA. Domestic and international travel is expected for approximately 10% of working days, with potentially more frequent international travel for training and coordination during the first two years. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor's degree in a relevant field such as Mechanical Engineering, Automotive Engineering, Information Technology, Technical Communication or related field. Several years of experience in Special tools and workshop equipment. Strong understanding of vehicle technologies, repair concepts, and technical documentation. Familiarity with automotive engineering principles. Proficiency in managing multiple projects, prioritizing tasks, and meeting deadlines. Proven ability to identify complex problems, develop innovative solutions, and implement effective strategies to address challenges. Strong critical thinking and decision-making skills to navigate ambiguous situations and drive results. Ability to work independently and collaboratively as part of a team. What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = 130,000.00 - $160,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Sr Specialist, Special Tools and Workshop Equipment at Scout Motors", "postedDate" : "2026-06-15T23:19:43.363", "createdAt" : "2026-06-15T23:19:43.363", "lastUpdated" : "2026-06-16T11:04:16.391", "ingestTimestamp" : "2026-06-15T23:19:43.363", "mongoId" : "6a305198f292fd229cf02f3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a839bc74574cbbb4d31", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:36:20.649", "fingerprint" : "6d689a5c54a8a7117f61e47482b75a6168422f52f743bd77abc6d14df7708e10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199927/apply", "externalId" : "ff5bd593-2dfd-4ddf-bb23-c0fd02ce558e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, C++, Python, Perl, Machine learning, Deep learning, LLM", "professionalSkills" : [ "Machine learning engineering", "Business problems", "Model inference" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, LLM systems", "majorSkillsList" : [ "Machine learning", "Deep learning", "LLM systems" ], "coreResponsibilities" : "Develop machine learning models, Develop optimization strategies, Conduct research on machine learning modeling, Optimize Sponsored Products business, Enhance scalability of training systems, Enhance automation of training systems, Enhance efficiency of training systems, Enhance scalability of inference systems, Enhance automation of inference systems, Enhance efficiency of inference systems, Pioneer model inference infrastructure development, Support machine learning workloads, Work with MLEs, Work with SDEs, Deliver production ready solutions, Assist with system operations", "teamCollaboration" : "Team of engineers and scientists", "domainKnowledge" : "Sponsored Products; Advertising landscape; Generative AI; Customer experience; High-scale machine learning", "domainList" : [ "sponsored-products", "advertising-landscape", "generative-ai", "customer-experience", "high-scale-machine-learning" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Advertising landscape", "Generative AI", "Customer experience", "High-scale machine learning" ], "innovationCreativity" : "Innovate at the intersection; Pushing boundaries", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years building models, PhD or Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Knowledge of C/C++, Python, Java or Perl", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide. Key job responsibilities As an Applied Scientist, you will: * Develop scalable and effective machine learning models and optimization strategies to solve business problems. * Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business. * Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems. * Pioneer the development of model inference infrastructure to support next-generation machine learning workloads at Amazon Ads scale. * Work closely with MLEs and SDEs to deliver production ready solutions and assist with system operations. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Knowledge of programming languages such as C/C++, Python, Java or Perl Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine learning, Deep learning, LLM systems. Develop machine learning models. Develop optimization strategies", "postedDate" : "2026-06-13T02:24:03.864", "createdAt" : "2026-06-13T02:24:03.864", "lastUpdated" : "2026-06-15T01:36:20.649", "ingestTimestamp" : "2026-06-13T02:24:03.864", "mongoId" : "69c94a839bc74574cbbb4d31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199927/apply", "salaryAnnualMin" : 80000, "salaryAnnualMax" : 193200, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Machine learning", "Deep learning", "LLM systems", "Machine learning engineering", "Business problems", "Model inference", "Sponsored Products", "Advertising landscape", "Generative AI", "Customer experience", "High-scale machine learning" ], "skillCount" : 19, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25146374d8ee00a00bb7d5", "title" : "Technical Program Manager, Global Fleet and Products Electrification and Infrastructure", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, transportation and logistics", "salary" : { "min" : 127100.0, "max" : 172000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T02:13:56.266", "fingerprint" : "8692337613ec6c79d9dcf8681ec41a3064dbd9d51d4bb496bf8eabf47982baa1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440086/apply", "externalId" : "aa1581d7-f77d-4e93-9547-f7417347dae4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Software development", "professionalSkills" : [ "Supplier quality", "Quality management", "Process improvement", "Sparing strategies", "Trade-off evaluation", "Risk management", "Critical path management" ], "hardSkillsList" : [ "Pareto exercises", "Quality metrics", "Key Performance Indicators" ], "softSkillsList" : [ "Leadership", "Priorities", "Deliver results" ], "hardSkills" : [ { "name" : "Pareto exercises", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Key Performance Indicators", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Priorities" }, { "name" : "Deliver results" } ], "majorSkills" : "Supplier quality, Electrical infrastructure, Program management", "majorSkillsList" : [ "Supplier quality", "Electrical infrastructure", "Program management" ], "coreResponsibilities" : "Own supplier quality workstream, Build tools to intake issues, Resolve equipment issues, Complete pareto exercises, Develop solutions for improvement, Develop strategy, Evaluate trade-offs, Drive alignment with stakeholders, Develop supplier quality roadmap, Verify Amazon quality standards, Define inspection plans, Roll out inspection plans, Monitor supplier performance, Report supplier metrics, Lead supplier issue resolution, Support suppliers with initiatives, Provide feedback mechanism, Work on concurrent projects, Develop network spare strategies", "teamCollaboration" : "Cross-functional teams; Engineering teams; Construction teams; Commissioning teams", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Electrical infrastructure; Electric vehicle charging; EV fleet", "domainList" : [ "electrical-infrastructure", "electric-vehicle-charging", "ev-fleet" ], "domainSpecificKnowledge" : [ "Electrical infrastructure", "Electric vehicle charging", "EV fleet" ], "communicationSkills" : "Communicate clearly", "innovationCreativity" : "Develop innovative quality management tools", "problemSolvingSkills" : "Issue resolution", "outcomesObjectives" : "Ensure reliability and performance", "qualificationsBasic" : "3+ years technical product management, 3+ years program management, 2+ years software development, 3+ years project management disciplines, Experience managing programs across cross functional teams, Experience building processes, Experience coordinating release schedules", "qualificationsPreferred" : "3+ years working directly with engineering teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is committed to building a sustainable business for our employees, customers and communities. From leading The Climate Pledge to our goal of Net Zero Carbon by 2040, Amazon has consistently driven industry change. Deploying a fleet of 100,000 electric delivery vehicles is one major way we’re making a difference. The Technical Program Manager role will play a key part in supporting electrification across our network. The Technical Program Manager will be responsible for owning our supplier quality workstream across our electrical infrastructure equipment portfolio. This will include building tools to intake issues across the equipment's lifecycle, resolve those issues, complete pareto exercises on the problems, and develop solutions across the installation phase and supplier base for improvement (including sparing strategies for the network). The TPM will develop this strategy, evaluate trade-offs and drive broad alignment with key stakeholders. We seek a strong leader who can set priorities, communicate clearly, and consistently deliver results across diverse cross-functional teams. Key job responsibilities - Develop, implement and maintain the supplier quality roadmap for electrical infrastructure equipment. - Verify Amazon quality standards are met at suppliers through in-person and remote audits. - Define and roll out incoming inspection/first article inspection plans - Monitor and report on supplier performance quality metrics and actions. Lead supplier quality issue resolution in partnership with engineering, construction and commissioning teams. - Develop and support suppliers with quality improvement initiatives and Key Performance Indicators (KPI). Provide a feedback mechanism from suppliers to internal teams on joint quality issues. Work on concurrent projects, sometimes in multiple geographical regions. - Develop network spare strategies to support electrical power distribution products powering 100K EVs. A day in the life Your day will be dynamic and impactful, focusing on driving quality improvements across our electrical infrastructure equipment portfolio. You'll collaborate with cross-functional teams, develop innovative quality management tools, and create strategic solutions that ensure the reliability and performance of our electric vehicle charging network. About the team We are building the largest and most advanced EV Fleet charging network in the world! Basic Qualifications: - 3+ years of technical product or program management experience - 2+ years of software development experience - 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - 3+ years of working directly with engineering teams experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 146,200.00 - 197,800.00 USD annually USA, TN, Nashville - 120,800.00 - 163,400.00 USD annually USA, WA, Bellevue - 127,100.00 - 172,000.00 USD annually", "summaryDescription" : "Technical Program Manager, Global Fleet and Products Electrification and Infrastructure at Amazon.com Services LLC. Skills: Supplier quality, Electrical infrastructure, Program management. Own supplier quality workstream. Build tools to intake issues", "postedDate" : "2026-06-13T10:40:52.368", "createdAt" : "2026-06-13T10:40:52.368", "lastUpdated" : "2026-06-15T02:13:56.266", "ingestTimestamp" : "2026-06-13T10:40:52.368", "mongoId" : "6a25146374d8ee00a00bb7d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440086/apply", "salaryAnnualMin" : 127100, "salaryAnnualMax" : 172000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Pareto exercises", "Quality metrics", "Key Performance Indicators", "Leadership", "Priorities", "Deliver results", "Supplier quality", "Electrical infrastructure", "Program management", "Quality management", "Process improvement", "Sparing strategies", "Trade-off evaluation", "Risk management", "Critical path management", "Scope management", "Schedule management", "Budget management", "Electric vehicle charging", "EV fleet" ], "skillCount" : 20, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164da470f0b99d586f3162", "title" : "Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:25:10.237", "fingerprint" : "d13b775018a4c1b090e0afa7f442843b973be39bb85965cc38f26e0e9418e103", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122617/apply", "externalId" : "4df7e358-44a5-4a64-9e9b-6ab3ace7bee6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, C++, Python, Generative AI", "professionalSkills" : [ "Science leadership", "Organizational ability", "Technical strength", "Product focus", "Business understanding" ], "hardSkillsList" : [ "Data analysis", "Model development", "A/B testing", "Generative models" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Generative models", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model development, Advertising technology", "majorSkillsList" : [ "Generative AI", "Model development", "Advertising technology" ], "coreResponsibilities" : "Develop AI solutions, Build monetization systems, Build optimization systems, Leverage generative models, Value campaign performance, Improve campaign performance, Define science vision, Define science roadmap, Translate direction into plans, Design experiments, Conduct experiments, Evaluate proposed solutions, Communicate technical ideas, Communicate non-technical ideas, Stay up-to-date with advancements, Stay up-to-date with modeling techniques, Think big about Gen AI, Identify new opportunities, Apply technologies to solve problems", "teamCollaboration" : "Communicate with teammates", "domainKnowledge" : "Digital advertising; Generative AI", "domainList" : [ "digital-advertising", "generative-ai" ], "domainSpecificKnowledge" : [ "Digital advertising", "Generative AI" ], "communicationSkills" : "Technical communication; Non-technical communication", "continuousLearning" : "Stay up-to-date with advancements", "innovationCreativity" : "Innovative AI solution development", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, PhD, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience in algorithms, Experience in data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing, 3+ years in digital advertising technology", "qualificationsPreferred" : "Demonstrated track record of innovative AI solution development, Experience with generative model architectures, Research publications in generative AI, Patents in generative AI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About Our Team: The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products. About This Role: As an Applied Scientist on our team, you will: * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses. * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Stay up-to-date with advancements and the latest modeling techniques in the field. * Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems. #GenAI Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 3+ years in digital advertising technology. Preferred Qualifications: - Demonstrated track record of innovative AI solution development. - Experience with generative model architectures. - Research publications or patents in generative AI technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Model development, Advertising technology. Develop AI solutions. Build monetization systems", "postedDate" : "2026-06-12T23:40:34.531", "createdAt" : "2026-06-12T23:40:34.531", "lastUpdated" : "2026-06-15T02:25:10.237", "ingestTimestamp" : "2026-06-12T23:40:34.531", "mongoId" : "69164da470f0b99d586f3162", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122617/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Model development", "A/B testing", "Generative models", "Generative AI", "Advertising technology", "Science leadership", "Organizational ability", "Technical strength", "Product focus", "Business understanding", "Digital advertising" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4962beec4dd3d931913", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:12:32.742", "fingerprint" : "2813b7088bf9ddc16d6ae80d87886ea77ec3e51c99e1e27ea13f6612f026c856", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385329/apply", "externalId" : "c8e636df-eba0-4a67-be18-2f67f6c85473", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Java, C++, Python, Deep learning, Machine learning, Computer vision, GenAI, Large language models", "professionalSkills" : [ "Applied research", "Science roadmap", "Product strategy", "Business impact" ], "hardSkillsList" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement" ], "hardSkills" : [ { "name" : "Prompt generation", "level" : "intermediate" }, { "name" : "Quality frameworks", "level" : "intermediate" }, { "name" : "Coverage expansion", "level" : "intermediate" }, { "name" : "Prompt effectiveness", "level" : "intermediate" }, { "name" : "CTR improvement", "level" : "intermediate" }, { "name" : "Helpfulness improvement", "level" : "intermediate" } ], "majorSkills" : "NLP, LLMs, Information Retrieval, Applied Science Management", "majorSkillsList" : [ "NLP", "LLMs", "Information Retrieval", "Applied Science Management" ], "coreResponsibilities" : "Lead team of scientists and engineers, Build and scale prompt generation pipeline, Develop new prompt themes, Develop quality frameworks, Drive coverage expansion, Own science roadmap, Define metrics for prompt effectiveness, Drive experimentation to improve CTR, Drive experimentation to improve helpfulness, Drive experimentation to improve advertiser outcomes, Manage and grow science team, Set research direction, Influence product strategy, Translate science investments into business impact", "teamCollaboration" : "Across organizational boundaries; With engineering teams; With product teams; With business teams", "domainKnowledge" : "Conversational Discovery Experiences; Sponsored Prompts; Large language models", "domainList" : [ "conversational-discovery-experiences", "sponsored-prompts", "large-language-models" ], "domainSpecificKnowledge" : [ "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "innovationCreativity" : "Re-imagining advertising landscape; Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with AI; Transforming advertising lifecycle; Developing responsible AI technologies", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve CTR; Improve helpfulness; Improve advertiser outcomes", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, Master's degree and 6+ years research, Knowledge of ML, NLP, IR, Programming in Java, C++, Python", "qualificationsPreferred" : "Experience building complex software systems, Experience with deep learning, Experience with machine learning, Experience with computer vision, Experience with Data & AI technologies, Experience with GenAI, Experience with Analytics, Experience with Database, Experience with Storage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities We are looking for an Applied Science Manager to lead the Insights & Prompt Generation vertical within the Conversational Discovery Experiences (CAX) team in Sponsored Products and Brands (SPB). This team owns prompt generation, quality, personalization, and coverage for Sponsored Prompts, a new conversational ad format powered by large language models (LLMs) that helps shoppers discover products across Amazon.com. As an Applied Science Manager, you will lead a team of applied scientists and engineers to build and scale the prompt generation pipeline, develop new prompt themes and quality frameworks, and drive coverage expansion across all surfaces. You will own the science roadmap for prompt generation and personalization. You will define the metrics that measure prompt effectiveness and drive experimentation to improve CTR, helpfulness, and advertiser outcomes. This role requires strong technical depth in NLP, LLMs, and information retrieval, combined with the ability to manage and grow a science team, set research direction, and influence product strategy. You will work across organizational boundaries with engineering, product, and business teams to translate science investments into measurable business impact. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: NLP, LLMs, Information Retrieval, Applied Science Management. Lead team of scientists and engineers. Build and scale prompt generation pipeline", "postedDate" : "2026-06-13T17:16:57.553", "createdAt" : "2026-06-13T17:16:57.553", "lastUpdated" : "2026-06-15T02:12:32.742", "ingestTimestamp" : "2026-06-13T17:16:57.553", "mongoId" : "69d5e4962beec4dd3d931913", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385329/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt generation", "Quality frameworks", "Coverage expansion", "Prompt effectiveness", "CTR improvement", "Helpfulness improvement", "NLP", "LLMs", "Information Retrieval", "Applied Science Management", "Applied research", "Science roadmap", "Product strategy", "Business impact", "Conversational Discovery Experiences", "Sponsored Prompts", "Large language models" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1d870f0b99d58d66a93", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for mid-seniority Software Development Engineers in Toronto, Canada, adjusted for company size and industry." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T06:23:06.930", "fingerprint" : "fe1b236160a4f76ce35542d2eca49e648160786e388346a96fb051be61c924b5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103281/apply", "externalId" : "f1f50995-8241-4a95-aa1d-c54ae42ef0d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Distributed systems", "Conversational AI", "Natural language interactions" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Advertising technology", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Advertising technology" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize operation costs, Utilize resources efficiently, Consume tokens efficiently, Minimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of business connection, Create scalable systems, Process millions data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Design scalable APIs, Maintain scalable APIs, Orchestrate agent connections, Build agent-to-agent protocols, Manage agent state, Deliver streaming pipelines, Deliver event-driven pipelines, Support real-time customizations, Integrate with 1P experiences, Build infrastructure governance, Expose systems safely, Empower partners to create experiences, Provide personalized insights, Provide guidance, Account for advertiser catalog, Account for performance metrics, Tailor full page experience, Update individual widgets, Provide interactive automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf, Optimize AI for Sales pitches", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "domainKnowledge" : "Generative AI; Large Language Models; Advertising ecosystem; Agentic systems; AI governance; AI safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-ecosystem", "agentic-systems", "ai-governance", "ai-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "innovationCreativity" : "Pioneer new approaches; Creative problem-solver", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure experiences; Drive business impact", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in Computer Science, Shipped Gen AI features at scale, Deep understanding AI trust safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Advertising technology. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T16:50:06.324", "createdAt" : "2026-06-13T16:50:06.324", "lastUpdated" : "2026-06-15T06:23:06.930", "ingestTimestamp" : "2026-06-13T16:50:06.324", "mongoId" : "68e6b1d870f0b99d58d66a93", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103281/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Conversational AI", "Natural language interactions", "Generative AI", "Large Language Models", "Advertising technology", "System design", "Architecture", "Advertising ecosystem", "Agentic systems", "AI governance", "AI safety" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "68e6b1d770f0b99d58d66963", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 125500.0, "max" : 188000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Software Development Engineer roles in Toronto, Canada, adjusted for mid-level seniority and a large technology company." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T05:51:39.895", "fingerprint" : "7a15fe5570e358c4a6ce464d28955418041448da7628043b06474a6a1ac739fa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103803/apply", "externalId" : "e3d060d1-4919-4aa5-ba15-d3f10fdd163b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Gen AI, ML, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Conversational AI", "level" : "intermediate" }, { "name" : "Natural language interactions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Agentic service platform", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Agentic experiences", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Agentic experiences" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches, Shape future of advertising, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect next-generation AI platform, Build foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain orchestration layers, Build durable communication protocols, Manage agent state frameworks, Deliver streaming pipelines, Support real-time customizations, Own infrastructure governance layers, Expose systems safely, Empower partners to create experiences, Extend platform to external developers, Invest in observability platforms", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions", "projectManagementSkills" : [ "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations" ], "domainKnowledge" : "Generative AI; Large Language Models; Advertising landscape; AI technologies; Agentic experiences; Distributed systems; Cloud technologies; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "advertising-landscape", "ai-technologies", "agentic-experiences", "distributed-systems", "cloud-technologies", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Advertising landscape", "AI technologies", "Agentic experiences", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative problem-solver; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making", "outcomesObjectives" : "Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, Experience programming one language, 3+ years full SDLC experience", "qualificationsPreferred" : "Shipped Gen AI features at scale, Deep understanding AI trust/safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Agentic experiences. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T15:59:07.813", "createdAt" : "2026-06-13T15:59:07.813", "lastUpdated" : "2026-06-15T05:51:39.895", "ingestTimestamp" : "2026-06-13T15:59:07.813", "mongoId" : "68e6b1d770f0b99d58d66963", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103803/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Conversational AI", "Natural language interactions", "Data processing", "Agentic service platform", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Agentic experiences", "System design", "Architecture", "Coding standards", "Code reviews", "Source control management", "Build processes", "Testing", "Operations", "Advertising landscape", "AI technologies", "Distributed systems", "Cloud technologies", "AI trust and safety" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fda4e34c40e2acd1b9974a", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 228700.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T06:34:06.169", "fingerprint" : "e48365b86c403c615a246893e6332d35e97417f8226f9370a866d50001d31b19", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "externalId" : "486289d8-494c-400a-8e28-f2291fbb0c9e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, GenAI, LLM, Analytics, Database, Storage", "professionalSkills" : [ "Product sense", "Science vision", "Execution" ], "hardSkillsList" : [ "ML", "LLM", "GenAI models" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" }, { "name" : "GenAI models", "level" : "intermediate" } ], "majorSkills" : "Gen AI, Applied Science, Product Development", "majorSkillsList" : [ "Gen AI", "Applied Science", "Product Development" ], "coreResponsibilities" : "Manage projects at all stages, Tackle challenging problems, Coordinate high profile projects, Ensure customer and business goals are met, Interface across product, science, and engineering teams, Drive mechanisms for team efficiency, Operate with high degree of autonomy, Prioritize projects and features, Plan projects and features, Manage partners, Track external commitments, Recommend alternative technical approaches, Partner with product, science, and engineering teams, Meet timelines, Role model use of GenAI, Design Gen AI solutions, Implement Gen AI solutions, Create effective ad campaigns, Improve overall experience", "teamCollaboration" : "Cross functional teams; Ads and Retail organizations", "projectManagementSkills" : [ "Project management", "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Generative AI; Advertising landscape; Brand advertising", "domainList" : [ "generative-ai", "advertising-landscape", "brand-advertising" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Brand advertising" ], "innovationCreativity" : "Invent new product experiences", "qualificationsBasic" : "PhD in Electrical Engineering, Computer Science, Mathematics, or related technical field, 7+ years working with Data & AI technologies, 7+ years designing or architecting systems, 7+ years working directly with engineering teams, 7+ years technical product or program management experience", "qualificationsPreferred" : "8+ years hands-on managing complex technology projects, Experience managing projects across cross functional teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Sponsored Brands team at Amazon is building the next generation of brand advertising products and platforms for advertisers using Gen AI. This role presents an opportunity to join us at the ground floor of this transformation, which is a core part of Amazon's overall business strategy. You will be the Gen AI applied science leader that will determine what products and ads show up in the most critical ad placements across Amazon. You'll have opportunities to deliver at the highest technical level, working with science, product, engineering, and UX, all directly connected to a marketplace of supply and demand. In this highly visible role, you'll collaborate across multiple stakeholders within Ads and Retail. We are seeking a Gen AI Applied Science inventor who has strong product sense, with a proven track record with hands on science vision and execution while building high impact products from the ground up. you will have the opportunity to apply your deep subject matter expertise in the area of ML, LLM and GenAI models. You will invent new product experiences that enable novel advertiser and shopper experiences. This role will work on bringing state-of-the-art GenAI models to production. You will define the long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers. Key job responsibilities You will play a pivotal role in managing projects at all stages: inception, design, development, deployment and subsequent improvements. You will tackle challenging problems and coordinate high profile projects across multiple teams to ensure customer and business goals are met. You will interface across product, science, and engineering teams within the advertising and retail organizations. You will drive mechanisms that allow the team to move quickly and deliver strong results. You will operate with a high degree of autonomy and efficiency. You'll be responsible for project management - prioritize, plan projects and features, manage partners, and track external commitments. You will recommend alternative technical approaches and partner with product, science, and engineering teams to meet timelines. You will actively role model the use of GenAI to make the team more efficient. About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit. Basic Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - 7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition Preferred Qualifications: - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Palo Alto - 228,700.00 - 309,400.00 USD annually USA, NY, New York - 218,800.00 - 295,900.00 USD annually USA, WA, SEATTLE - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Gen AI, Applied Science, Product Development. Manage projects at all stages. Tackle challenging problems", "postedDate" : "2026-06-13T15:11:57.473", "createdAt" : "2026-06-13T15:11:57.473", "lastUpdated" : "2026-06-15T06:34:06.169", "ingestTimestamp" : "2026-06-13T15:11:57.473", "mongoId" : "69fda4e34c40e2acd1b9974a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "salaryAnnualMin" : 228700, "salaryAnnualMax" : 309400, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "ML", "LLM", "GenAI models", "Gen AI", "Applied Science", "Product Development", "Product sense", "Science vision", "Execution", "Project management", "Roadmap strategy", "Roadmap definition", "Generative AI", "Advertising landscape", "Brand advertising" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69fe94ff4c40e2acd11219c3", "title" : "Applied Scientist II, Sponsored Products and Brands-Agent", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 172400.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:55:25.162", "fingerprint" : "7ad0ab23796aa2e82cc054ecf4362c263f771704655b3de969e0aff032ad13a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "externalId" : "31bf1933-f742-480e-ad74-77c1c946969f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, R, SQL, AWS, SageMaker, PyTorch, TensorFlow, Spark, Machine Learning, Data Science", "professionalSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design" ], "hardSkillsList" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, Algorithm Development", "majorSkillsList" : [ "Machine Learning", "Data Science", "Algorithm Development" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Conduct experiments to test hypotheses, Analyze large datasets, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Sponsored Products; Brands", "domainList" : [ "sponsored-products", "brands" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Brands" ], "toolProficiency" : [ "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree in Computer Science, Statistics, or related quantitative field, 3+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in Computer Science, Statistics, or related quantitative field, Experience with AWS SageMaker, Experience with PyTorch or TensorFlow, Experience with large-scale data processing frameworks (e.g., Spark)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About the team SPB Agent team's vision is to build a highly personalized and context-aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across all experiences. The SPB-Agent is the central agent that interfaces with advertisers across Ads Console, Selling Partner portals (Seller Central, KDP, Vendor Central), and internal Sales systems. We identify high-impact opportunities spanning from strategic product guidance to granular optimization and deliver them through personalized, scalable experiences grounded in state-of-the-art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including fine-tuning, MCP, and preference optimization. This presents an exceptional opportunity to shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist II, Sponsored Products and Brands-Agent at Amazon.com Services LLC. Skills: Machine Learning, Data Science, Algorithm Development. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-14T19:32:21.240", "createdAt" : "2026-06-14T19:32:21.240", "lastUpdated" : "2026-06-16T07:55:25.162", "ingestTimestamp" : "2026-06-14T19:32:21.240", "mongoId" : "69fe94ff4c40e2acd11219c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414427/apply", "salaryAnnualMin" : 172400, "salaryAnnualMax" : 223400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning algorithms", "Statistical modeling", "Data analysis", "Experimentation", "Machine Learning", "Data Science", "Algorithm Development", "Data modeling", "Algorithm development", "Statistical analysis", "Experiment design", "Sponsored Products", "Brands", "SageMaker", "PyTorch", "TensorFlow", "Spark" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104422beec4dd3def288c", "title" : "Senior Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:06:13.627", "fingerprint" : "a7a4b4df08e69f3e1b9aa2f22352024c743b4739464b7cfa7e2f475f1d743d7c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385948/apply", "externalId" : "79947a54-7c5e-4f6e-9b74-bc3b15493eae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Senior Applied Scientist on our team, you will * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns. * You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives. * You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses; * Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Translate complex scientific challenges into clear and impactful solutions for business stakeholders. * Mentor and guide junior scientists, fostering a collaborative and high-performing team culture. * Stay up-to-date with advancements and the latest modeling techniques in the field About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC", "postedDate" : "2026-06-13T19:04:25.307", "createdAt" : "2026-06-13T19:04:25.307", "lastUpdated" : "2026-06-15T08:06:13.627", "ingestTimestamp" : "2026-06-13T19:04:25.307", "mongoId" : "69e104422beec4dd3def288c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385948/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b8970f0b99d5843fc3e", "title" : "Transactions Analyst, Global Fleet and Products Electrification", "company" : "Amazon.com Services LLC", "industry" : "Administrative Support, transportation and logistics", "salary" : { "min" : 43900.0, "max" : 79800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T05:56:51.149", "fingerprint" : "23a3c4100306eed342d79fc3a182077e03601e7f6ffbb1f6df507d3562c2551d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139180/apply", "externalId" : "d60c5dd2-dfd2-4675-8f36-f0fafe177088", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High school or equivalent", "experienceMinYears" : 2, "technicalSkills" : "Microsoft Office, Microsoft Excel", "professionalSkills" : [ "Demand validation", "Supply strategy alignment", "Order management", "Invoice reconciliation", "Data integrity", "Procurement systems", "ERP systems" ], "hardSkillsList" : [ "Material transactions", "Purchase requisitions", "Order creation", "Receiving", "Invoice reconciliation", "Procurement", "Purchasing", "Supply chain" ], "hardSkills" : [ { "name" : "Material transactions", "level" : "intermediate" }, { "name" : "Purchase requisitions", "level" : "intermediate" }, { "name" : "Order creation", "level" : "intermediate" }, { "name" : "Receiving", "level" : "intermediate" }, { "name" : "Invoice reconciliation", "level" : "intermediate" }, { "name" : "Procurement", "level" : "intermediate" }, { "name" : "Purchasing", "level" : "intermediate" }, { "name" : "Supply chain", "level" : "intermediate" } ], "majorSkills" : "Material transactions, Procurement, Supply chain", "majorSkillsList" : [ "Material transactions", "Procurement", "Supply chain" ], "coreResponsibilities" : "Execute comprehensive material transactions for electrical equipment, Create purchase requisitions, Create orders, Receive materials, Reconcile invoices, Partner with material managers to validate demand signals, Align with supply strategies, Monitor order statuses, Resolve discrepancies in pricing, Resolve discrepancies in quantity, Resolve discrepancies in delivery timelines, Maintain precise procurement system records, Support continuous improvement initiatives to optimize ordering processes, Support continuous improvement initiatives to optimize invoicing processes, Track electrical equipment orders, Manage electrical equipment orders", "teamCollaboration" : "Multiple teams; Cross-functional communication", "projectManagementSkills" : [ "End-to-end project management" ], "domainKnowledge" : "Electric vehicle fleet; Sustainable transportation; Zero-emission vehicle infrastructure; Global fleet electrification", "domainList" : [ "electric-vehicle-fleet", "sustainable-transportation", "zero-emission-vehicle-infrastructure", "global-fleet-electrification" ], "domainSpecificKnowledge" : [ "Electric vehicle fleet", "Sustainable transportation", "Zero-emission vehicle infrastructure", "Global fleet electrification" ], "toolProficiency" : [ "Coupa", "Oracle", "SAP" ], "problemSolvingSkills" : "Problem-solving; Analytical skills; Process accuracy; Process efficiency", "specialRequirements" : "Work 40 hours/week, Overtime as required, Flexible schedule/shift/work area, Weekends, nights, and/or holidays", "qualificationsBasic" : "2+ years of professional or military experience, 1+ years of working with computers and Microsoft Office products and applications experience, 1+ years of procurement, purchasing, supply chain related work in a procurement organization experience, Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company", "qualificationsPreferred" : "Experience with end-to-end project management, Experience supporting infrastructure, manufacturing, or construction projects, analytical and problem-solving skills with focus on process accuracy and efficiency, Excellent communication and cross-functional collaboration skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our mission to revolutionize sustainable transportation by powering the world's largest electric delivery fleet! As a key player in Amazon's Global Fleet Electrification team, you'll be instrumental in managing critical material transactions that keep our zero-emission vehicle infrastructure moving forward. Your work will directly contribute to reducing carbon emissions and transforming how goods are delivered globally. Key job responsibilities - Execute comprehensive material transactions for electrical equipment, including purchase requisitions, order creation, receiving, and invoice reconciliation - Partner with material managers to validate demand signals and align with supply strategies - Monitor order statuses and proactively resolve discrepancies in pricing, quantity, and delivery timelines - Maintain precise procurement system records to ensure data integrity and compliance - Support continuous improvement initiatives to optimize ordering and invoicing processes A day in the life Your day will be dynamic and impactful, focusing on tracking and managing electrical equipment orders from start to finish. You'll collaborate with multiple teams, ensuring smooth material procurement processes that support our ambitious electric vehicle deployment strategy. Expect to engage in problem-solving, data management, and cross-functional communication that keeps our electrification initiatives running seamlessly. About the team We are a passionate group dedicated to building the largest electric vehicle fleet in the world. Our team sits at the intersection of sustainability, logistics, and innovation, working to transform Amazon's delivery infrastructure. We value collaborative problem-solvers who are excited about making a tangible environmental impact through transportation solutions. Basic Qualifications: - 2+ years of professional or military experience - 1+ years of working with computers and Microsoft Office products and applications experience - High school or equivalent - Work 40 hours/week, and overtime as required - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 1+ years of procurement, purchasing, supply chain related work in a procurement organization experience - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience in a fast-paced, high-tech company - Proficiency with Microsoft Excel and familiarity with procurement or ERP systems (e.g., Coupa, Oracle, SAP). Preferred Qualifications: - Experience with end-to-end project management - Experience supporting infrastructure, manufacturing, or construction projects. - Strong analytical and problem-solving skills with focus on process accuracy and efficiency. - Excellent communication and cross-functional collaboration skills. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43,900/year in our lowest geographic market up to $79,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Transactions Analyst, Global Fleet and Products Electrification at Amazon.com Services LLC. Skills: Material transactions, Procurement, Supply chain. Execute comprehensive material transactions for electrical equipment. Create purchase requisitions", "postedDate" : "2026-06-13T16:30:16.357", "createdAt" : "2026-06-13T16:30:16.357", "lastUpdated" : "2026-06-15T05:56:51.149", "ingestTimestamp" : "2026-06-13T16:30:16.357", "mongoId" : "693c2b8970f0b99d5843fc3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139180/apply", "salaryAnnualMin" : 43900, "salaryAnnualMax" : 79800, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Material transactions", "Purchase requisitions", "Order creation", "Receiving", "Invoice reconciliation", "Procurement", "Purchasing", "Supply chain", "Demand validation", "Supply strategy alignment", "Order management", "Data integrity", "Procurement systems", "ERP systems", "End-to-end project management", "Electric vehicle fleet", "Sustainable transportation", "Zero-emission vehicle infrastructure", "Global fleet electrification", "Coupa", "Oracle", "SAP" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0df91758b93c861ebd9e1b", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:32:08.536", "fingerprint" : "e45e1f00f8acdd919f73d76bed8c7973a56bf1ffaa338ba7a0602225defa4d98", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410623/apply", "externalId" : "14b7b43f-99d4-45ec-81ec-2298bbf93f7b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Event-driven architecture, Serverless architecture, Big data systems, Machine learning, Generative AI", "professionalSkills" : [ "Ad tech systems", "Customer understanding", "Driving results" ], "hardSkillsList" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine learning, Ad tech, Big data", "majorSkillsList" : [ "Generative AI", "Machine learning", "Ad tech", "Big data" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale big data systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; External partners; Internal partners; Scientists; Economists", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI technologies; Advertising landscape", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai-technologies", "advertising-landscape" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI technologies", "Advertising landscape" ], "innovationCreativity" : "Next innovations; Invent ML-based approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming at least one language", "qualificationsPreferred" : "5+ years full software development lifecycle, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Machine learning, Ad tech, Big data. Design new components. Develop new components", "postedDate" : "2026-06-13T11:10:48.403", "createdAt" : "2026-06-13T11:10:48.403", "lastUpdated" : "2026-06-15T08:32:08.536", "ingestTimestamp" : "2026-06-13T11:10:48.403", "mongoId" : "6a0df91758b93c861ebd9e1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410623/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "Machine learning", "Data mining", "Information retrieval", "Statistics", "Natural language processing", "Generative AI", "Ad tech", "Big data", "Ad tech systems", "Customer understanding", "Driving results", "Scrum", "Shopping experiences", "Generative AI technologies", "Advertising landscape" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6931903370f0b99d580879f2", "title" : "Applied Scientist III, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:42:56.908", "fingerprint" : "c61c1cc7f9b4c2be30f26584e9246334062b705f088cc642c659681d63a0543c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137028/apply", "externalId" : "da773fc8-cb6e-42d0-81c2-f413a80a182f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark", "professionalSkills" : [ "ML modeling", "Causal inference", "Reinforcement learning", "Optimization techniques", "LLMs", "Online experimentation", "ML solutions" ], "hardSkillsList" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs", "Online experimentation", "ML modeling" ], "softSkillsList" : [ "Customer obsession", "Inventing", "Simplifying" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "Online experimentation", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer obsession" }, { "name" : "Inventing" }, { "name" : "Simplifying" } ], "majorSkills" : "Machine learning, Causal inference, Reinforcement learning, LLMs", "majorSkillsList" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs" ], "coreResponsibilities" : "Improve quality of ads shown, Use in-session and offline signals, Use online experimentation, Use ML modeling, Use simulation, Use online feedback, Identify big opportunities, Make direct impact on customers, Improve search experience, Work closely with partner teams, Build scalable real-time ML solutions, Design A/B experiments, Run A/B experiments, Analyze A/B experiments", "teamCollaboration" : "Search partner teams; Retail partner teams; Software engineers; Product managers", "domainKnowledge" : "Generative AI; Advertising landscape; Advertising lifecycle; Advertising experiences; Marketplace", "domainList" : [ "generative-ai", "advertising-landscape", "advertising-lifecycle", "advertising-experiences", "marketplace" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Advertising lifecycle", "Advertising experiences", "Marketplace" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "innovationCreativity" : "Re-imagining advertising landscape; Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Improve ads experience; Drive quantifiable revenue impact", "qualificationsBasic" : "3+ years building ML models, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning", "qualificationsPreferred" : "Modeling tools experience, Large scale distributed systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Gnome team within the Sponsored Products and Brands (SPB) improves ad selection helping shoppers reach their shopping mission. To do this, we apply a broad range of machine learning, causal inference, reinforcement learning based optimization techniques and LLMs to continuously explore, learn, and optimize ads shown. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the ads experience by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them. A day in the life As a Senior Applied Scientist on this team, you will be responsible to improve quality of ads shown using in-session and offline signals via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. #GenAI Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist III, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine learning, Causal inference, Reinforcement learning, LLMs. Improve quality of ads shown. Use in-session and offline signals", "postedDate" : "2026-06-13T10:33:23.051", "createdAt" : "2026-06-13T10:33:23.051", "lastUpdated" : "2026-06-15T04:42:56.908", "ingestTimestamp" : "2026-06-13T10:33:23.051", "mongoId" : "6931903370f0b99d580879f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137028/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Causal inference", "Reinforcement learning", "LLMs", "Online experimentation", "ML modeling", "Customer obsession", "Inventing", "Simplifying", "Optimization techniques", "ML solutions", "Generative AI", "Advertising landscape", "Advertising lifecycle", "Advertising experiences", "Marketplace", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "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" : "6a305704f292fd229cf32726", "title" : "Support & Cleaning", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 10500.0, "max" : 14500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level Support & Cleaning position in Porto, Portugal, adjusted for the hospitality industry and part-time employment." }, "location" : "Porto, Porto, Portugal", "locations" : [ "Porto", "Porto", "Portugal" ], "timestamp" : "2026-06-16T09:18:24.503", "fingerprint" : "5944882579594ab7f20aacad257613da18c08d6e2873b303396a1e0db3e3fc5f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://indiecampers.com/discover/en-us/careers/8591918002?gh_jid=8591918002", "externalId" : "8591918002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Porto", "state" : "Porto", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.1502195,-8.6103497" } ], "locationText" : "Porto, Porto, Portugal", "employmentType" : "PART_TIME", "majorSkills" : "Fleet cleaning, Vehicle preparation, Stock management", "majorSkillsList" : [ "Fleet cleaning", "Vehicle preparation", "Stock management" ], "coreResponsibilities" : "Clean vehicle interiors, Clean vehicle exteriors, Prepare vans with kits, Prepare vans with essentials, Inspect vehicles post-return, Manage cleaning supplies, Manage consumables, Support depot organisation, Support depot logistics, Maintain hygiene standards, Maintain appearance standards, Report issues for follow-up, Receive supplies, Store supplies, Organize supplies, Report shortages, Report damages, Keep cleaning areas organized, Move vehicles, Support operational needs", "continuousLearning" : "Training in cleaning standards; Training in detail verification; Training in minor repairs; Training in operational excellence", "specialRequirements" : "Physically active cleaning tasks, Working inside vehicles, Working outdoors, Lift up to 15 kg, Using cleaning products safely, Working in varying temperatures, Working in weather conditions, Maintain speed during high-volume operations, Work weekends, Work holidays, Work peak seasonal schedules, Adapt to last-minute needs", "qualificationsBasic" : "Experience in cleaning, Attention to detail, Commitment to hygiene standards, Physically fit, Able to perform manual tasks, Reliable, Punctual, Able to work in high-paced environments, Driving License (Category B), English proficiency, Able to perform physically active cleaning tasks, Comfortable working inside vehicles, Able to lift, move, or carry cleaning equipment (up to 15 kg), Comfortable using cleaning products and chemicals safely, Follow safety company guidelines, Comfortable working in varying temperatures, Able to maintain cleaning quality and speed, Flexible to work weekends, Flexible to work holidays, Flexible to work peak seasonal schedules, Capable of adapting to last-minute operational needs", "qualificationsPreferred" : "Hospitality experience preferred, Warehouse experience preferred, Housekeeping experience preferred, Operations experience preferred, Local language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers is a global leader in road trip travel, operating one of the largest campervan fleets in the world. Support & Cleaning are essential to ensuring every van is spotless, safe, and ready for the next customer, directly influencing customer satisfaction and operational efficiency. THE ROLE The Support & Cleaning Agent focuses exclusively on maintaining the cleanliness, hygiene, and presentation of the rental fleet. This is a hands-on, physical, detail-oriented operational role responsible for: Cleaning vehicle interiors and exteriors Preparing vans with kits and essentials Inspecting vehicles post-return Managing cleaning supplies and consumables Supporting depot organisation and logistics WHAT WILL YOU WORK ON? Fleet Cleaning: clean and maintain vehicle interiors and exteriors to meet hygiene and appearance standards, ensuring consistent high-quality results. Vehicle Preparation: prepare campervans with required kits, bedding, and optional extras, ensuring readiness for bookings and check-in/check-out processes. Post-Return Inspection & Reporting: inspect vehicles upon return for cleanliness, missing items, or damage, and report issues for follow-up. Stock & Consumables Management: manage stock and consumables, including receiving, storing, and organizing supplies while reporting shortages or damages. Logistics & Depot Organisation: assist with depot logistics, keeping cleaning areas organized, moving vehicles, and supporting operational needs during peak times. WHO ARE WE LOOKING FOR? Must have: Experience in cleaning Nice to have: hospitality, warehouse, housekeeping, or operations preferred. Must have: Strong attention to detail and commitment to hygiene standards. Must have: Physically fit and able to perform manual tasks (cleaning, lifting, moving equipment). Must have: Reliable, punctual, and able to work in high-paced environments. Must have: Driving License (Category B). Must have: English and Nice to have: local language proficiency (if applicable) PHYSICAL AND OPERATIONAL REQUIREMENTS Must have: Able to perform physically active cleaning tasks for most of the shift, including standing, walking, bending, kneeling, stretching, and repetitive motion. Must have: Comfortable working inside vehicles (tight spaces, elevated surfaces), and outdoors around the fleet. Must have: Able to lift, move, or carry cleaning equipment, vacuum devices, water hoses, chemical products, or kits (up to 15 kg). Must have: Comfortable using cleaning products and chemicals safely, including disinfectants, detergents, stain removers, glass cleaners, and surface treatments (training provided). Must have: Must follow the safety company guidelines when handling chemical products Must have: Comfortable working in varying temperatures and weather conditions when washing or preparing vehicles outdoors. Must have: Able to maintain cleaning quality and speed during high-volume operations and peak season. Must have: Flexible to work weekends, holidays, and peak seasonal schedules. Must have: Capable of adapting to last-minute operational needs (e.g., urgent turnarounds or additional cleaning tasks). THE INDIE COMMITMENT! Competitive compensation and travel benefits. Clear progression to RoadTrip Agent or other operational roles. Training in cleaning standards, detail verification, minor repairs, and operational excellence. A multicultural, dynamic workplace with a strong team spirit. Are you Ready to Go Indie?", "summaryDescription" : "Support & Cleaning at Indie Campers. Skills: Fleet cleaning, Vehicle preparation, Stock management. Clean vehicle interiors. Clean vehicle exteriors", "postedDate" : "2026-06-15T23:20:12.595", "createdAt" : "2026-06-15T23:20:12.595", "lastUpdated" : "2026-06-16T09:18:24.503", "ingestTimestamp" : "2026-06-15T23:20:12.595", "mongoId" : "6a305704f292fd229cf32726", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Fleet cleaning", "Vehicle preparation", "Stock management" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305704f292fd229cf3272e", "title" : "Support & Cleaning", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 10500.0, "max" : 14500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Support & Cleaning position in Lisboa, Portugal, with adjustments for the hospitality industry and part-time employment." }, "location" : "Lisboa, Lisboa, Portugal", "locations" : [ "Lisboa", "Lisboa", "Portugal" ], "timestamp" : "2026-06-16T06:54:11.346", "fingerprint" : "585e1eef1f7c3a7f74c6606f3b8f19d445b8119a9a95bcd1b51f3cdbe6102548", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://indiecampers.com/discover/en-us/careers/8591916002?gh_jid=8591916002", "externalId" : "8591916002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisboa", "state" : "Lisboa", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisboa, Lisboa, Portugal", "employmentType" : "PART_TIME", "hardSkillsList" : [ "Cleaning" ], "hardSkills" : [ { "name" : "Cleaning", "level" : "intermediate" } ], "majorSkills" : "Fleet Cleaning, Vehicle Preparation, Stock Management", "majorSkillsList" : [ "Fleet Cleaning", "Vehicle Preparation", "Stock Management" ], "coreResponsibilities" : "Clean vehicle interiors, Clean vehicle exteriors, Maintain hygiene standards, Maintain appearance standards, Prepare vans with kits, Prepare vans with essentials, Inspect vehicles post-return, Report issues for follow-up, Manage cleaning supplies, Manage consumables, Receive supplies, Store supplies, Organize supplies, Report shortages, Report damages, Assist with depot logistics, Keep cleaning areas organized, Move vehicles, Support operational needs", "teamCollaboration" : "Multicultural workplace; Team spirit", "domainKnowledge" : "Road trip travel; Campervan fleet operations", "domainList" : [ "road-trip-travel", "campervan-fleet-operations" ], "domainSpecificKnowledge" : [ "Road trip travel", "Campervan fleet operations" ], "continuousLearning" : "Training in cleaning standards; Training in detail verification; Training in minor repairs; Training in operational excellence", "specialRequirements" : "Physical lifting up to 15 kg, Working in tight spaces, Working on elevated surfaces, Repetitive motion", "outcomesObjectives" : "Ensure vans are spotless; Ensure vans are safe; Ensure vans are ready; Influence customer satisfaction; Influence operational efficiency; Meet hygiene standards; Meet appearance standards; Ensure high-quality results; Ensure readiness for bookings; Ensure readiness for check-in/check-out", "qualificationsBasic" : "Experience in cleaning, Attention to detail, Commitment to hygiene standards, Physically fit, Able to perform manual tasks, Reliable, Punctual, Able to work in high-paced environments, Driving License (Category B), English proficiency, Able to perform physically active cleaning tasks, Comfortable working inside vehicles, Comfortable working outdoors around fleet, Able to lift, move, or carry cleaning equipment up to 15 kg, Comfortable using cleaning products and chemicals safely, Follow safety company guidelines, Comfortable working in varying temperatures, Comfortable working in weather conditions, Able to maintain cleaning quality and speed, Flexible to work weekends, Flexible to work holidays, Flexible to work peak seasonal schedules, Capable of adapting to last-minute operational needs", "qualificationsPreferred" : "Hospitality experience preferred, Warehouse experience preferred, Housekeeping experience preferred, Operations experience preferred, Local language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers is a global leader in road trip travel, operating one of the largest campervan fleets in the world. Support & Cleaning are essential to ensuring every van is spotless, safe, and ready for the next customer, directly influencing customer satisfaction and operational efficiency. THE ROLE The Support & Cleaning Agent focuses exclusively on maintaining the cleanliness, hygiene, and presentation of the rental fleet. This is a hands-on, physical, detail-oriented operational role responsible for: Cleaning vehicle interiors and exteriors Preparing vans with kits and essentials Inspecting vehicles post-return Managing cleaning supplies and consumables Supporting depot organisation and logistics WHAT WILL YOU WORK ON? Fleet Cleaning: clean and maintain vehicle interiors and exteriors to meet hygiene and appearance standards, ensuring consistent high-quality results. Vehicle Preparation: prepare campervans with required kits, bedding, and optional extras, ensuring readiness for bookings and check-in/check-out processes. Post-Return Inspection & Reporting: inspect vehicles upon return for cleanliness, missing items, or damage, and report issues for follow-up. Stock & Consumables Management: manage stock and consumables, including receiving, storing, and organizing supplies while reporting shortages or damages. Logistics & Depot Organisation: assist with depot logistics, keeping cleaning areas organized, moving vehicles, and supporting operational needs during peak times. WHO ARE WE LOOKING FOR? Must have: Experience in cleaning Nice to have: hospitality, warehouse, housekeeping, or operations preferred. Must have: Strong attention to detail and commitment to hygiene standards. Must have: Physically fit and able to perform manual tasks (cleaning, lifting, moving equipment). Must have: Reliable, punctual, and able to work in high-paced environments. Must have: Driving License (Category B). Must have: English and Nice to have: local language proficiency (if applicable) PHYSICAL AND OPERATIONAL REQUIREMENTS Must have: Able to perform physically active cleaning tasks for most of the shift, including standing, walking, bending, kneeling, stretching, and repetitive motion. Must have: Comfortable working inside vehicles (tight spaces, elevated surfaces), and outdoors around the fleet. Must have: Able to lift, move, or carry cleaning equipment, vacuum devices, water hoses, chemical products, or kits (up to 15 kg). Must have: Comfortable using cleaning products and chemicals safely, including disinfectants, detergents, stain removers, glass cleaners, and surface treatments (training provided). Must have: Must follow the safety company guidelines when handling chemical products Must have: Comfortable working in varying temperatures and weather conditions when washing or preparing vehicles outdoors. Must have: Able to maintain cleaning quality and speed during high-volume operations and peak season. Must have: Flexible to work weekends, holidays, and peak seasonal schedules. Must have: Capable of adapting to last-minute operational needs (e.g., urgent turnarounds or additional cleaning tasks). THE INDIE COMMITMENT! Competitive compensation and travel benefits. Clear progression to RoadTrip Agent or other operational roles. Training in cleaning standards, detail verification, minor repairs, and operational excellence. A multicultural, dynamic workplace with a strong team spirit. Are you Ready to Go Indie?", "summaryDescription" : "Support & Cleaning at Indie Campers. Skills: Fleet Cleaning, Vehicle Preparation, Stock Management. Clean vehicle interiors. Clean vehicle exteriors", "postedDate" : "2026-06-15T23:18:25.134", "createdAt" : "2026-06-15T23:18:25.134", "lastUpdated" : "2026-06-16T06:54:11.346", "ingestTimestamp" : "2026-06-15T23:18:25.134", "mongoId" : "6a305704f292fd229cf3272e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Cleaning", "Fleet Cleaning", "Vehicle Preparation", "Stock Management", "Road trip travel", "Campervan fleet operations" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "69164db670f0b99d586f38d3", "title" : "Sr. Software Dev. Engineer, Sponsored Products and Brands, Sposored Products", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:41:45.310", "fingerprint" : "6edd7d43ad88a5b48937284be0741ebcc8b1eac110522d1feda60929c9ff2ada", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120024/apply", "externalId" : "eb82455b-7df0-4e13-9778-cd2d0e7dc1c4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML", "professionalSkills" : [ "Computer science fundamentals", "System design", "Scalable systems", "High-performance systems", "Reliable systems", "Maintainable systems", "Customer-focused mindset", "Iterative approach", "Software development", "Distributed frameworks", "Advertising optimization", "Ad campaign optimization", "Real-time optimization", "Attribution", "Reporting", "Analytics", "Billing" ], "hardSkillsList" : [ "Software development", "System design", "Architecture design", "Problem solving" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, AI technologies, Scalable systems, High-performance systems", "majorSkillsList" : [ "Generative AI", "AI technologies", "Scalable systems", "High-performance systems" ], "coreResponsibilities" : "Design scalable high-performance systems, Develop scalable high-performance systems, Build services handling billions requests, Maintain response latencies, Meet SLA requirements, Process advertising signals, Orchestrate event enrichments, Vend ad event data", "teamCollaboration" : "External teams; Internal teams", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; Product catalogs; Massive datasets; Advertising lifecycle; Performance advertising; Sponsored Brands Video; Sponsored Display; Ad events; Robotic traffic detection; Geotagging; Event cardinality; Ad campaign optimization; Real-time ad campaigns; Attribution; Reporting; Analytics; Billing", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "product-catalogs", "massive-datasets", "advertising-lifecycle", "performance-advertising", "sponsored-brands-video", "sponsored-display", "ad-events", "robotic-traffic-detection", "geotagging", "event-cardinality", "ad-campaign-optimization", "real-time-ad-campaigns", "attribution", "reporting", "analytics", "billing" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Product catalogs", "Massive datasets", "Advertising lifecycle", "Performance advertising", "Sponsored Brands Video", "Sponsored Display", "Ad events", "Robotic traffic detection", "Geotagging", "Event cardinality", "Ad campaign optimization", "Real-time ad campaigns", "Attribution", "Reporting", "Analytics", "Billing" ], "innovationCreativity" : "Generative AI technologies; Re-inventing advertising experiences; Bridging human creativity with artificial intelligence; Developing responsible and intelligent AI technologies", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "5+ years non-internship professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with AI/ML technologies", "qualificationsPreferred" : "5+ years full software development life cycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks. About the team The Sponsored Products Marketplace AdClicks team manages the infrastructure that processes trillions of ads every day. We seek a Sr. Development Engineer to lead a large scale and highly available service that centrally processes advertising signals (e.g. ad impressions, views, clicks, video unmutes, etc) for numerous performance advertising businesses (e.g. Sponsored Products, Sponsored Brands, Sponsored Brands Video, and Sponsored Display) . We join millions of ad events per second from various sources, orchestrates business-specific event enrichments (e.g. robotic traffic detection, business validation of chargeable events, geotagging, event cardinality, etc), and vends out authoritative ad event data to support real-time ad campaign optimizations, attribution, reporting, analytics, and billing. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience with AI/ML technologies Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Software Dev. Engineer, Sponsored Products and Brands, Sposored Products at Amazon.com Services LLC. Skills: Generative AI, AI technologies, Scalable systems, High-performance systems. Design scalable high-performance systems. Develop scalable high-performance systems", "postedDate" : "2026-06-12T23:07:29.938", "createdAt" : "2026-06-12T23:07:29.938", "lastUpdated" : "2026-06-15T00:41:45.310", "ingestTimestamp" : "2026-06-12T23:07:29.938", "mongoId" : "69164db670f0b99d586f38d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120024/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture design", "Problem solving", "Leadership", "Generative AI", "AI technologies", "Scalable systems", "High-performance systems", "Computer science fundamentals", "Reliable systems", "Maintainable systems", "Customer-focused mindset", "Iterative approach", "Distributed frameworks", "Advertising optimization", "Ad campaign optimization", "Real-time optimization", "Attribution", "Reporting", "Analytics", "Billing", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Product catalogs", "Massive datasets", "Advertising lifecycle", "Performance advertising", "Sponsored Brands Video", "Sponsored Display", "Ad events", "Robotic traffic detection", "Geotagging", "Event cardinality", "Real-time ad campaigns" ], "skillCount" : 36, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69fda4e64c40e2acd1b99af2", "title" : "Applied Science Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 202000.0, "max" : 273600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:47:42.669", "fingerprint" : "d8a90b9d636b94a49694c17867b2218cf0e64f07a91af868d1a5132c7bd992a4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412277/apply", "externalId" : "1e929245-5acc-409b-a774-775f10dc2e73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "ML, NLP, Information Retrieval, Analytics, Java, C++, Python, LLM, RAG", "professionalSkills" : [ "Scientific excellence", "Customer obsession", "Ownership", "Scientific vision", "Roadmap planning", "Model evaluation", "Prompt optimization", "A/B testing", "Drift monitoring" ], "hardSkillsList" : [ "Model evaluation", "Prompt engineering", "LLM fine-tuning", "Programmatic prompt optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "Programmatic prompt optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Applied Science, Model Evaluation, Machine Learning", "majorSkillsList" : [ "Generative AI", "Applied Science", "Model Evaluation", "Machine Learning" ], "coreResponsibilities" : "Lead talent team, Mentor talent team, Grow talent team, Foster culture scientific excellence, Foster culture customer obsession, Foster culture ownership, Own scientific vision, Own multi-quarter roadmap, Design evaluation frameworks, Deliver evaluation frameworks, Lead development optimization engine, Refine prompts programmatically, Generate synthetic training pairs, Compose agent decomposition strategies, Establish offline-to-online consistency, Establish A/B testing discipline, Establish drift monitoring, Communicate scientific vision, Communicate research breakthroughs, Communicate business outcomes, Drive alignment objectives", "teamCollaboration" : "Applied scientists; Machine learning engineers; Senior leadership; Broader Amazon Advertising", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Brand intelligence; Agentic systems; LLM-based agents; Orchestrator-worker patterns; Retrieval-augmented generation; Multi-agent orchestration; Sponsored products; Sponsored brands", "domainList" : [ "brand-intelligence", "agentic-systems", "llm-based-agents", "orchestrator-worker-patterns", "retrieval-augmented-generation", "multi-agent-orchestration", "sponsored-products", "sponsored-brands" ], "domainSpecificKnowledge" : [ "Brand intelligence", "Agentic systems", "LLM-based agents", "Orchestrator-worker patterns", "Retrieval-augmented generation", "Multi-agent orchestration", "Sponsored products", "Sponsored brands" ], "toolProficiency" : [ "LLM-as-Judge" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Diagnose underperformance; Root cause analysis", "outcomesObjectives" : "Attains accuracy targets; Enables forward evaluation; Establishes autonomous loop; Scale quality across skills", "qualificationsBasic" : "4+ years applied research, 3+ years management experience, 3+ years ML models business application, PhD or Master's degree, 6+ years applied research, Knowledge of ML, Knowledge of NLP, Knowledge of Information Retrieval, Knowledge of Analytics, Experience programming Java, Experience programming C++, Experience programming Python", "qualificationsPreferred" : "Experience recommender systems, Experience personalization, Ph.D. computer science, Ph.D. machine learning, Ph.D. engineering, Master's degree quantitative field, 4+ years quantitative field, Publications top-tier conferences, Publications top-tier journals, 5+ years management experience, Hands-on LLM agentic systems, Experience LLM fine-tuning, Experience prompt engineering, Experience programmatic prompt optimization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. As the Applied Science Manager for the Continuous Model Evaluation and Learning workstream, you will own the quality backbone for this agentic brand-intelligence system. You will lead a mix of applied scientists and engineers who define what \"good\" looks like for each brand skill, instrument the system to measure it, diagnose why skills underperform, and close the loop by generating, validating, and deploying improvements. You will deliver the evaluation and remediation framework that attains accuracy targets, enables forward evaluation for skills as they develop, and establishes the autonomous detect-diagnose-remediate loop that lets us scale quality across all brand skills and multiple advertiser-facing surfaces. This is a business-critical, greenfield initiative within SPB. You will set the scientific charter, grow the talent on your team, and ship the framework that every other brand-intelligence workstream depends on. Key job responsibilities - Lead, mentor, and grow the talent on a team composed of applied scientists and machine learning engineers, fostering a culture of scientific excellence, customer obsession, and ownership. - Own the scientific vision and multi-quarter roadmap for continuous model evaluation and learning across the brand-intelligence system. - Design and deliver evaluation frameworks for agentic brand-intelligence skills, including LLM-as-Judge rubrics, multi-model ensemble judging, gold-set construction, and calibration against human evaluators. - Lead development of the optimization engine that programmatically refines prompts, generates synthetic training pairs, and composes agent decomposition strategies (orchestrator-worker patterns) when single-agent skills hit complexity limits. - Establish rigorous offline-to-online consistency, A/B testing discipline, and drift monitoring so that quality improvements generalize to production traffic. - Communicate scientific vision, research breakthroughs, and business outcomes to senior leadership, and drive alignment with broader Amazon Advertising objectives. Basic Qualifications: - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields - Ph.D. in computer science, machine learning, engineering, or related fields, or Master's degree and 4+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Have publications at top-tier peer-reviewed conferences or journals - 5+ years of scientists or machine learning engineers management experience - Hands-on experience designing, deploying, and evaluating LLM-based agentic systems, including tool use, multi-step planning and reasoning, retrieval-augmented generation (RAG), and multi-agent orchestration (orchestrator-worker, swarm, critic-actor patterns). - Experience with large-scale LLM fine-tuning (SFT, RLHF, DPO), prompt engineering, and programmatic prompt optimization frameworks. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 202,200.00 - 273,600.00 USD annually USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually", "summaryDescription" : "Applied Science Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Applied Science, Model Evaluation, Machine Learning. Lead talent team. Mentor talent team", "postedDate" : "2026-06-13T07:29:57.873", "createdAt" : "2026-06-13T07:29:57.873", "lastUpdated" : "2026-06-15T01:47:42.669", "ingestTimestamp" : "2026-06-13T07:29:57.873", "mongoId" : "69fda4e64c40e2acd1b99af2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412277/apply", "salaryAnnualMin" : 202000, "salaryAnnualMax" : 273600, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model evaluation", "Prompt engineering", "LLM fine-tuning", "Programmatic prompt optimization", "Leadership", "Mentoring", "Generative AI", "Applied Science", "Model Evaluation", "Machine Learning", "Scientific excellence", "Customer obsession", "Ownership", "Scientific vision", "Roadmap planning", "Prompt optimization", "A/B testing", "Drift monitoring", "Brand intelligence", "Agentic systems", "LLM-based agents", "Orchestrator-worker patterns", "Retrieval-augmented generation", "Multi-agent orchestration", "Sponsored products", "Sponsored brands", "LLM-as-Judge" ], "skillCount" : 27, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "68e0a7e2ce260f92cbf8ea62", "title" : "Data Engineer, Speed Products, Science and Analytics", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Data Engineering, transportation and logistics", "salary" : { "min" : 118900.0, "max" : 205600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:46:53.211", "fingerprint" : "2949250d13161d5d4b07f4a1aee9e5f09a85811ff8e7e42017368eebb24b6163", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100735/apply", "externalId" : "a7282069-9ef7-47e1-b7c6-11bb7e7e8581", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Scala", "professionalSkills" : [ "Data infrastructure", "Data integration", "Release management" ], "hardSkillsList" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code" ], "softSkillsList" : [ "Business communication" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data loading", "level" : "intermediate" }, { "name" : "Code deployment", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Release coordination", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Orchestration code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business communication" } ], "majorSkills" : "Data engineering, Data infrastructure, Data pipelines", "majorSkillsList" : [ "Data engineering", "Data infrastructure", "Data pipelines" ], "coreResponsibilities" : "Design data infrastructure solutions, Integrate data from sources, Aggregate data, Retrieve data, Curate data, Manage Redshift clusters, Design pipelines, Develop pipelines, Extract data, Transform data, Load data, Oversee production operations, Improve data delivery, Redesign infrastructure, Deploy code, Fix bugs, Coordinate release management, Establish best practices, Develop data integration solutions, Explore new data sources, Deliver data, Read data processing code, Write data processing code, Debug data processing code, Read orchestration code, Write orchestration code, Debug orchestration code", "teamCollaboration" : "Business owners; Tech leaders; Product teams; Data Scientists; Software developers; Business Intelligence Engineer", "projectManagementSkills" : [ "Release management" ], "domainKnowledge" : "Data warehousing; Distributed systems; Big data technologies", "domainList" : [ "data-warehousing", "distributed-systems", "big-data-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing", "Distributed systems", "Big data technologies" ], "toolProficiency" : [ "Redshift", "SQL", "Python", "AWS" ], "communicationSkills" : "Business communication", "documentationSkills" : "Documentation", "continuousLearning" : "Investigate emerging technologies", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Experience as Data Engineer, Knowledge of distributed systems, Bachelor's degree", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities - Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies. - Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination. - Establish and maintain best practices for the design, development and support of data integration solutions, including documentation. - Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data. - Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.) Basic Qualifications: - Experience as a Data Engineer or in a similar role - Knowledge of distributed systems as it pertains to data storage and computing - Bachelor's degree Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Data Engineer, Speed Products, Science and Analytics at Amazon.com Services LLC. Skills: Data engineering, Data infrastructure, Data pipelines. Design data infrastructure solutions. Integrate data from sources", "postedDate" : "2026-06-13T11:39:35.182", "createdAt" : "2026-06-13T11:39:35.182", "lastUpdated" : "2026-06-15T05:46:53.211", "ingestTimestamp" : "2026-06-13T11:39:35.182", "mongoId" : "68e0a7e2ce260f92cbf8ea62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100735/apply", "salaryAnnualMin" : 118900, "salaryAnnualMax" : 205600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code", "Business communication", "Data engineering", "Data infrastructure", "Data integration", "Release management", "Distributed systems", "Big data technologies", "Redshift", "SQL", "Python", "AWS" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176d374d8ee00a0c1af5e", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:55:30.683", "fingerprint" : "e378cd8f270b1dfc3555aaf7f8ae7842287bab66bd21e4d4cce1a048769b0502", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "externalId" : "c5df5941-c47e-4788-9e98-ee08a742a5b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Computer science fundamentals", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Computer science fundamentals", "level" : "intermediate" }, { "name" : "Problem-solving skills", "level" : "intermediate" } ], "majorSkills" : "Generative AI, High-performance systems", "majorSkillsList" : [ "Generative AI", "High-performance systems" ], "coreResponsibilities" : "Design scalable services, Develop scalable services, Deliver scalable services, Handle billions of requests, Maintain millisecond latencies, Meet strict SLA requirements, Build end-to-end features, Operate on massive datasets, Design flexible systems, Design reliable systems, Design maintainable systems, Simplify complex problems, Ship incrementally, Improve system quality, Collaborate with partners, Define requirements, Deliver customer-focused solutions, Apply computer science fundamentals, Navigate technical challenges, Make sound design trade-offs, Drive engineering best practices, Maintain system reliability", "teamCollaboration" : "Cross-functional partners; Product managers; Scientists; Engineers", "domainKnowledge" : "Retail media; Brand advertising; Product catalogs; Distributed frameworks; Advertising landscape; AI technologies", "domainList" : [ "retail-media", "brand-advertising", "product-catalogs", "distributed-frameworks", "advertising-landscape", "ai-technologies" ], "domainSpecificKnowledge" : [ "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Generative AI technologies", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive brand advertising at scale; Get brands discovered; Acquire new customers; Grow customer lifetime value; Drive discovery; Drive visibility; Drive share of voice; Shoppers discover brands; Shoppers build affinity; Brands grow business", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's in computer science, Experience designing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Brands Impressions-based Offerings team is evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale — helping brands get discovered, acquire new customers, and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility, and share of voice — spanning advertiser controls, shopper experiences, monetization strategies, and optimization features. We succeed when shoppers discover and build affinity with brands, and when brands can grow their business at scale with our advertising products. We're looking for a Software Development Engineer who thrives on building high-performance systems that operate on one of the world's largest product catalogs. You'll build services that handle billions of requests per day with millisecond-level latencies and strict SLA requirements — working across massive datasets using distributed frameworks. This is a hands-on role for an engineer who takes a pragmatic, iterative approach to delivering software and enjoys collaborating across teams to solve complex problems with simple, scalable solutions. Key job responsibilities - Design, develop, and deliver scalable, high-performance services that handle billions of daily requests while maintaining millisecond-level response latencies and strict SLA requirements - Build end-to-end features across the Sponsored Brands stack — including advertiser controls, shopper experiences, monetization logic, and optimization capabilities - Operate on massive datasets using distributed frameworks, designing systems that are flexible, reliable, and maintainable at catalog scale - Take a pragmatic, iterative approach to software delivery — simplifying complex problems, shipping incrementally, and continuously improving system quality - Collaborate effectively with cross-functional partners — including product managers, scientists, and engineers across internal and external teams — to define requirements and deliver customer-focused solutions - Apply strong computer science fundamentals and problem-solving skills to navigate ambiguous technical challenges and make sound design trade-offs - Drive engineering best practices including code reviews, testing, operational excellence, and documentation to maintain high system reliability About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, High-performance systems. Design scalable services. Develop scalable services", "postedDate" : "2026-06-13T10:44:23.258", "createdAt" : "2026-06-13T10:44:23.258", "lastUpdated" : "2026-06-15T00:55:30.683", "ingestTimestamp" : "2026-06-13T10:44:23.258", "mongoId" : "6a2176d374d8ee00a0c1af5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438733/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Computer science fundamentals", "Problem-solving skills", "Generative AI", "High-performance systems", "System design", "Reliability", "Scaling", "Retail media", "Brand advertising", "Product catalogs", "Distributed frameworks", "Advertising landscape", "AI technologies" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "68e6b1d870f0b99d58d66a7d", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T02:43:22.161", "fingerprint" : "8ec624e328332c112fe76bd73d0f93905c4dc4d17289525424262bda6dce27e3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103340/apply", "externalId" : "b6d82723-d7c7-4963-b783-09fa12bb7be8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "GenAI, Machine learning, Generative AI, LLM", "professionalSkills" : [ "ML strategy", "GenAI strategy", "Recommender systems" ], "hardSkillsList" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML, GenAI, Ranking systems, Retrieval systems", "majorSkillsList" : [ "ML", "GenAI", "Ranking systems", "Retrieval systems" ], "coreResponsibilities" : "Define technical and scientific strategies, Influence scientific and engineering methods, Invent new scientific techniques and paradigms, Grow other scientists in the organization, Liaise with internal Amazon partners, Bring state-of-the-art models to production, Stay abreast of the latest developments in AI/ML/GenAI, Identify opportunities to improve efficiency and productivity, Define a long-term science vision, Translate vision into actionable plans, Build complex, real-time systems using GenAI, Develop machine learning platform strategy, Develop a GenAI strategy for recommender systems", "teamCollaboration" : "Multiple teams of scientists and engineers; Cross-functional projects", "domainKnowledge" : "Ranking systems; Retrieval systems; Recommender systems; Advertising landscape; Generative AI technologies", "domainList" : [ "ranking-systems", "retrieval-systems", "recommender-systems", "advertising-landscape", "generative-ai-technologies" ], "domainSpecificKnowledge" : [ "Ranking systems", "Retrieval systems", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Invent new product experiences; Innovates on behalf of customers; Invent new scientific techniques and paradigms", "problemSolvingSkills" : "Solve complex challenges", "qualificationsBasic" : "PhD or equivalent in Computer science/Math or related field, Experience in building complex, real-time systems using GenAI, Computer Science fundamentals in data structures, algorithm design and complexity analysis, Ability to develop machine learning platform strategy in recommender systems, Ability to develop a GenAI strategy for recommender systems", "qualificationsPreferred" : "10+ years of relevant, broad research experience after PhD degree, Deep expertise and knowledge of Generative AI methods, Proficiency in programming for algorithm and code reviews, Core competency in mathematics and statistics, Track record of successful projects in algorithm design and product development, Publications at top-tier peer-reviewed conferences or journals, Experience with mentorship and/or management of senior scientists and engineers, Effective verbal and written communication skills with non-technical and technical audiences, Experience working with real-world data sets and building scalable models from big data, Demonstrated track record of project delivery for large, cross-functional projects, Ability to take a project from requirements gathering and design to actual product launch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers. Key job responsibilities - You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. - Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. - You invent new scientific techniques and paradigms to address our customers' needs and business problems. - You are a role model and help grow other scientists in the organization. - You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls. - You have 10+ years of research experience after a PhD degree. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Basic Qualifications: - PhD or equivalent in Computer science/Math or related field.  - Experience in building complex, real-time systems using GenAI, with successful delivery to customers. - Computer Science fundamentals in data structures, algorithm design and complexity analysis.  - Ability to develop machine learning platform strategy in the domain of recommender systems. - Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications: 10+ years of relevant, broad research experience after PhD degree or equivalent.  Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews.  Strong core competency in mathematics and statistics.  Track record of successful projects in algorithm design and product development.  Publications at top-tier peer-reviewed conferences or journals.  Experience with mentorship and/or management of senior scientists and engineers.  Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: ML, GenAI, Ranking systems, Retrieval systems. Define technical and scientific strategies. Influence scientific and engineering methods", "postedDate" : "2026-06-13T06:10:32.841", "createdAt" : "2026-06-13T06:10:32.841", "lastUpdated" : "2026-06-15T02:43:22.161", "ingestTimestamp" : "2026-06-13T06:10:32.841", "mongoId" : "68e6b1d870f0b99d58d66a7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103340/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 309400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics", "Leadership", "Mentoring", "ML", "GenAI", "Ranking systems", "Retrieval systems", "ML strategy", "GenAI strategy", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fe94fe4c40e2acd112180a", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:31:17.127", "fingerprint" : "5c0b643709b4f75330ab493a1347c607a62f5167c623b112007223d9362f04b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "externalId" : "ae8f2580-e704-4d57-832e-d48338837ecf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Server-less, Event-driven, Big data, Machine learning, Generative AI, AI", "professionalSkills" : [ "System design", "Ad tech", "Shopping experiences" ], "hardSkillsList" : [ "ML-based approaches", "Data systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML-based approaches", "level" : "intermediate" }, { "name" : "Data systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Generative AI, Ad tech, Machine learning", "majorSkillsList" : [ "Generative AI", "Ad tech", "Machine learning" ], "coreResponsibilities" : "Design new components, Develop new components, Develop real time systems, Develop petabyte scale systems, Design software, Launch software, Own software, Evolve software, Invent ML-based approaches, Build ML-based approaches, Try ML-based approaches", "teamCollaboration" : "Scrum team; Scientists; Economists; External partners; Internal partners", "projectManagementSkills" : [ "Scrum" ], "domainKnowledge" : "Ad tech; Shopping experiences; Generative AI", "domainList" : [ "ad-tech", "shopping-experiences", "generative-ai" ], "domainSpecificKnowledge" : [ "Ad tech", "Shopping experiences", "Generative AI" ], "innovationCreativity" : "Next innovations; Invent approaches", "outcomesObjectives" : "Drive results at scale", "qualificationsBasic" : "3+ years software development experience, 3+ years system design experience, Experience programming one language", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Together with your scrum, you will: - Design and develop new components using the latest event-driven and server-less AWS technologies. - Develop both real time and petabyte scale big data systems working directly with different types of technology. - Design, launch, own and evolve software that serves both the interests of customers and advertisers. - Work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches to iterate on what works best. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Basic Qualifications: - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Ad tech, Machine learning. Design new components. Develop new components", "postedDate" : "2026-06-13T05:32:42.478", "createdAt" : "2026-06-13T05:32:42.478", "lastUpdated" : "2026-06-15T02:31:17.127", "ingestTimestamp" : "2026-06-13T05:32:42.478", "mongoId" : "69fe94fe4c40e2acd112180a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414900/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ML-based approaches", "Data systems", "Leadership", "Generative AI", "Ad tech", "Machine learning", "System design", "Shopping experiences", "Scrum" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a191e7758b93c861e39f7ab", "title" : "CAD customization using. NET (C#), VB", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1450000.0, "max" : 2150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level CAD customization role using .NET (C#), VB in the Automotive industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T00:30:44.748", "fingerprint" : "ddfdae409a0ca3e41d89c8d3bd5d9b738080f7d4143d2102fb90f3cd2e65f613", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889179", "externalId" : "889179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "NET, C#, VB, Scripting, XML, NX-Open API, HTML, AI, Deep learning, C/C++", "professionalSkills" : [ "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "Coding standards", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development" ], "hardSkillsList" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Leadership" ], "hardSkills" : [ { "name" : "NXOpen/UFUNC API", "level" : "intermediate" }, { "name" : "C# (.NET)", "level" : "intermediate" }, { "name" : "VB", "level" : "intermediate" }, { "name" : "C/C++", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "XML", "level" : "intermediate" }, { "name" : "Visual Studio", "level" : "intermediate" }, { "name" : "UIlock Styler", "level" : "intermediate" }, { "name" : "WPF", "level" : "intermediate" }, { "name" : "Siemens NX", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Drafting", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "JIRA", "level" : "intermediate" }, { "name" : "Confluence", "level" : "intermediate" }, { "name" : "KANBO", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Cloud Knowhow", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Leadership" } ], "majorSkills" : "CAD Customization, NET, NXOpen API, Automation", "majorSkillsList" : [ "CAD Customization", "NET", "NXOpen API", "Automation" ], "coreResponsibilities" : "Develop desktop applications, Develop Macros, Develop Plugins, Customize CAD, Implement automation requirements, Gather requirements, Deliver automation solutions, Drive programs, Coordinate projects, Execute strategy, Align to strategy, Provide direction to team, Make project plans, Create schedules, Organize meetings, Moderate meetings, Coordinate meetings, Document meetings, Align technical decisions, Negotiate with clients, Review changes, Perform administration tasks, Write reports, Ensure project adheres to timeline, Comply with best coding practices, Ensure high quality deliveries, Use NX-Open API's, Prototype solutions, Develop complex solutions, Build projects, Deploy projects, Create Architecture Documentation, Create Specification, Create UI logic, Develop Quick PoC", "teamCollaboration" : "Multiple stakeholders; Technical decisions; Customer communication; Coordinate meetings", "projectManagementSkills" : [ "SDLC", "Agile (Scrum)", "Project plans", "Schedules" ], "domainKnowledge" : "Automotive design; CAD Customization; Siemens NX; NX Modelling; NX Drafting; Architectural patterns; Service oriented architecture; Micro services; Enterprise architecture", "domainList" : [ "automotive-design", "cad-customization", "siemens-nx", "nx-modelling", "nx-drafting", "architectural-patterns", "service-oriented-architecture", "micro-services", "enterprise-architecture" ], "domainSpecificKnowledge" : [ "Automotive design", "CAD Customization", "Siemens NX", "NX Modelling", "NX Drafting", "Architectural patterns", "Service oriented architecture", "Micro services", "Enterprise architecture" ], "toolProficiency" : [ "NXOpen API", "Visual Studio 2019", "Visual Studio 2022", "UIlock Styler", "WPF", "Siemens NX", "JIRA", "Confluence", "KANBO" ], "communicationSkills" : "Excellent Communication Skills; Communication and Moderation", "documentationSkills" : "Architecture Documentation; Specification", "innovationCreativity" : "Innovative Problem Solving", "problemSolvingSkills" : "Analytical and problem solving skills; Innovative Problem Solving", "outcomesObjectives" : "High quality deliveries", "qualificationsBasic" : "3-6 years relevant experience, Experience in CAD/CAE Customization, C# (.NET), VB, C/C++ language experience", "qualificationsPreferred" : "Siemens NX experience preferred", "remoteFriendly" : false, "rawDescription" : " Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. · Good Knowledge on HTML, XML Data Processing and scripting. · Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "CAD customization using. NET (C#), VB at Mercedes-Benz Research and Development India. Skills: CAD Customization, NET, NXOpen API, Automation. Develop desktop applications. Develop Macros", "createdAt" : "2026-06-14T18:52:11.122", "lastUpdated" : "2026-06-16T00:30:44.748", "ingestTimestamp" : "2026-06-14T18:52:11.122", "mongoId" : "6a191e7758b93c861e39f7ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow", "Analytical", "Problem-solving", "Leadership", "CAD Customization", "NET", "NXOpen API", "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development", "Agile (Scrum)", "Project plans", "Schedules", "Automotive design", "NX Modelling", "NX Drafting", "Service oriented architecture", "Micro services", "Enterprise architecture", "Visual Studio 2019", "Visual Studio 2022" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "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" : "69164da570f0b99d586f3210", "title" : "Senior Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:43:22.646", "fingerprint" : "3fde1e07b80475948efdcee2091002d1f28fb32eea244d69b1939161a81dcc5a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122587/apply", "externalId" : "9e085f2b-5b27-452f-a031-e70353db86f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, Java, Perl, Machine Learning, Deep Learning", "professionalSkills" : [ "Business strategy", "Business understanding", "Product focus" ], "hardSkillsList" : [ "Data analysis", "Modeling", "Machine learning", "Model validation", "Statistical analysis" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Machine Learning, Applied research, Data science", "majorSkillsList" : [ "Machine Learning", "Applied research", "Data science" ], "coreResponsibilities" : "Lead ML efforts, Perform analysis and modeling, Develop insights, Drive ML projects, Build ML models, Perform proof-of-concept, Experiment with models, Optimize models, Deploy models, Work with software engineers, Productionize ML models, Run A/B experiments, Gather data, Perform statistical analysis, Establish automated processes, Recruit Applied Scientists, Provide mentorship", "teamCollaboration" : "Across other teams", "domainKnowledge" : "Generative AI; Advertising landscape; Brand stores; Personalized shopping experiences", "domainList" : [ "generative-ai", "advertising-landscape", "brand-stores", "personalized-shopping-experiences" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Brand stores", "Personalized shopping experiences" ], "toolProficiency" : [ "Hadoop", "Spark" ], "innovationCreativity" : "Invent new experiences; R&D", "problemSolvingSkills" : "Solve ambiguous problems; Identify science deficiencies", "outcomesObjectives" : "Increase traffic monetization; Increase merchandise sales; Grow retail businesses", "qualificationsBasic" : "3+ years building ML models, PhD or Master's degree, 6+ years applied research experience, Knowledge of C++, Python, Java, or Perl, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "Experience with large scale ML systems, Experience with large scale distributed systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Amazon Brand Store team (such as www.amazon.com/lego) within Sponsored Products and Brands is a core product offering in the Amazon Advertising portfolio. The brand’s store are their dedicated place on Amazon to differentiate, grow sales, and build loyalty with millions of shoppers. Our mission is to empower brands of all sizes to tell their story in their own unique voice to consumers. We help brands create engaging shopping experiences that assist shoppers in discovering and evaluating them as part of their purchase decisions. We succeed when we are both useful to shoppers and when brands can attract and retain shopper’s attention using our products. A cool case study on brand stores can be found here: https://advertising.amazon.com/library/case-studies/nespresso-brand-store-increases-shopper-engagement. We are looking for a Senior Applied Scientist to lead the generation of data-driven insights that bring long-term value to brands, as well as the ideation and creation of personalized shopping experiences for brand stores through industry-leading generative AI technologies. In this role, you will influence our team's science and business strategy with your expertise and deep business understanding. You will be expected to identify and solve ambiguous problems and science deficiencies, and to provide informed solutions based on state-of-the-art machine learning research. Impact and Career Growth You will invent new experiences and influence customer-facing shopping experiences to help brands grow their retail businesses. This is your opportunity to work within the fastest-growing businesses across all of Amazon! You'll define a long-term science vision for AI-driven brand shopping experiences, working backwards from our customers' needs and translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Key job responsibilities As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Applied research, Data science. Lead ML efforts. Perform analysis and modeling", "postedDate" : "2026-06-13T01:32:28.759", "createdAt" : "2026-06-13T01:32:28.759", "lastUpdated" : "2026-06-15T01:43:22.646", "ingestTimestamp" : "2026-06-13T01:32:28.759", "mongoId" : "69164da570f0b99d586f3210", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122587/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Modeling", "Machine learning", "Model validation", "Statistical analysis", "Leadership", "Mentorship", "Machine Learning", "Applied research", "Data science", "Business strategy", "Business understanding", "Product focus", "Generative AI", "Advertising landscape", "Brand stores", "Personalized shopping experiences", "Hadoop", "Spark" ], "skillCount" : 19, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69fe94ff4c40e2acd1121a11", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-14T23:42:23.847", "fingerprint" : "2c30339883b805d7f9e6ca996ae5e09485462026977101760f9d9606de995203", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "externalId" : "2f655fcc-f1c8-4196-8559-1eb8f5c2a307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Data-driven decision making", "Statistical methods" ], "softSkillsList" : [ "Analytical", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Software engineering, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies" ], "coreResponsibilities" : "Design and develop SPB Agent platform, Optimize for operation costs at scale, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Shape future of business customer connection, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect and build AI features", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Generative AI; Large Language Models; AI technologies; Advertising landscape; AI trust and safety", "domainList" : [ "generative-ai", "large-language-models", "ai-technologies", "advertising-landscape", "ai-trust-and-safety" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AI technologies", "Advertising landscape", "AI trust and safety" ], "innovationCreativity" : "Creative problem-solver; Innovators", "problemSolvingSkills" : "Creative problem-solver; Complex challenges", "qualificationsBasic" : "3+ years professional software development experience, 2+ years system design or architecture experience, Experience programming with at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science, Proven experience shipping Gen AI features at scale, Deep understanding of AI trust and safety", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop the SPB Agent platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands (SPB) Agent team, you will architect and build the next-generation AI features that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our SPB Agent team. The team owns SPB Agent, which integrates and powers reasoning behind agentic experiences in the Ads Console, Sales, and Seller Central. Examples of experiences that leverage the SPB Agent include but not limited to: 1) an AI Campaign Overview widget on an advertiser's Campaign Detail that dynamically adapts its narrative based on what the performance and campaign data Page 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales teams, grounded in each advertiser's stated objectives, product focus areas, and guardrails captured through their sales interaction Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to cutting-edge AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Generative AI, Large Language Models, Software engineering, Cloud technologies. Design and develop SPB Agent platform. Optimize for operation costs at scale", "postedDate" : "2026-06-13T05:34:20.315", "createdAt" : "2026-06-13T05:34:20.315", "lastUpdated" : "2026-06-14T23:42:23.847", "ingestTimestamp" : "2026-06-13T05:34:20.315", "mongoId" : "69fe94ff4c40e2acd1121a11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414423/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data-driven decision making", "Statistical methods", "Analytical", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Software engineering", "Cloud technologies", "System design", "Architecture", "AI technologies", "Advertising landscape", "AI trust and safety" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69164da670f0b99d586f327e", "title" : "Software Development Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:57:31.509", "fingerprint" : "62380f2d9cebb7ad6b296892feae2fe6bedcf0fe082d61c40d484c1fb36c4056", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122540/apply", "externalId" : "a29f43b2-4fa9-4cbc-bc06-aac7535830bf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, Gen AI", "professionalSkills" : [ "System design", "Roadmap planning", "Career development" ], "hardSkillsList" : [ "Software development", "AI technologies" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "AI technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, Gen AI, Software development", "majorSkillsList" : [ "Machine Learning", "Gen AI", "Software development" ], "coreResponsibilities" : "Manage cross-functional team, Lead ML Engineers, Lead Software Engineers, Lead Applied Scientists, Develop engineering roadmaps, Run annual planning, Foster cross-team collaboration, Hire top talent, Develop top talent, Provide technical guidance, Provide career guidance, Stay informed about system designs, Bring insights to team", "teamCollaboration" : "Cross-functional team; Cross-team collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Advertising business; Generative AI", "domainList" : [ "advertising-business", "generative-ai" ], "domainSpecificKnowledge" : [ "Advertising business", "Generative AI" ], "communicationSkills" : "Technical designs; Product strategy", "innovationCreativity" : "Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 3+ years system design/architecture, 8+ years leading web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience recruiting and hiring engineers, Experience mentoring/coaching engineers, Experience managing teams of engineers, Experience with AI/ML technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Software Development Manager, you will: * Directly manage and lead a cross-functional team of Machine Learning Engineers, Software Development Engineers and Applied Scientists. * Develop engineering roadmaps for SPB ads with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration for advertising applications. * Hire and develop top talent, provide technical and career development guidance to engineers within and across the organization. * Stay informed about recent system designs that are pertinent to the SPB advertising business and bring those insights with the team. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Machine Learning, Gen AI, Software development. Manage cross-functional team. Lead ML Engineers", "postedDate" : "2026-06-12T23:41:22.380", "createdAt" : "2026-06-12T23:41:22.380", "lastUpdated" : "2026-06-15T00:57:31.509", "ingestTimestamp" : "2026-06-12T23:41:22.380", "mongoId" : "69164da670f0b99d586f327e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122540/apply", "salaryAnnualMin" : 166400, "salaryAnnualMax" : 287700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "AI technologies", "Leadership", "Machine Learning", "Gen AI", "System design", "Roadmap planning", "Career development", "Advertising business", "Generative AI" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6931903470f0b99d58087a7f", "title" : "Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:17:27.911", "fingerprint" : "5fd2d0da0c7f588f48a68b9c00d19940dd8d24874fcc07614c46c148c45535d4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136770/apply", "externalId" : "532bdb05-2271-4c29-8949-512084027c14", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI, ML, Generative AI, Large Language Models, Cloud technologies", "professionalSkills" : [ "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution" ], "hardSkillsList" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Rational decision-making", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Tool improvement", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Team obsessed" }, { "name" : "Humbitious" }, { "name" : "Engaged by ambiguity" } ], "majorSkills" : "Generative AI, Large Language Models, Distributed systems, Cloud technologies", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies" ], "coreResponsibilities" : "Design Agentic service platform, Develop Agentic service platform, Optimize for operation costs, Optimize resource utilization, Optimize token consumption, Optimize memory footprint, Collaborate with cross-functional teams, Integrate AI-driven solutions, Pioneer new approaches to conversational AI, Pioneer new approaches to natural language interactions, Shape the future of business connections, Create scalable systems, Process millions of data points, Deliver hyper-personalized ad experiences, Architect AI platform, Build AI platform, Provide personalization experiences, Provide intelligent advertising experiences, Own foundational infrastructure, Provide unified entry point, Design scalable APIs, Maintain scalable APIs, Design orchestration layers, Maintain orchestration layers, Allow agents to connect reliably, Build durable agent-to-agent communication protocols, Build discovery protocols, Build negotiation protocols, Build task lifecycle management, Build agent management frameworks, Build state management frameworks, Persist context across workflows, Deliver streaming integration pipelines, Deliver event-driven integration pipelines, Support real-time customizations, Support integrations with 1P experiences, Own infrastructure governance layers, Implement standardized access-control frameworks, Implement data masking policies, Implement data retention policies, Implement rate-limiting, Implement audit logging, Implement safety guardrails, Ensure predictable agent behavior, Ensure compliant agent behavior, Invest in observability platforms, Optimize orchestration layers, Provide telemetry-driven insights, Extend platform to external developers, Extend platform to partners, Expose systems safely, Empower partners to create experiences, Inherit governance guarantees, Inherit security guarantees, Inherit scaling guarantees, Provide personalized insights, Provide guidance, Account for advertiser's product catalog, Account for performance metrics, Account for relevant signals, Tailor full page experience, Update individual widgets, Provide recommendations, Provide filtering capabilities, Provide AI companion experience, Provide interactive experience, Provide automated experience, Provide data-backed guidance, Make autonomous decisions, Execute actions on behalf of sellers", "teamCollaboration" : "Cross-functional teams; Agent-to-agent communication; Agent-to-service interactions; Internal agentic applications; External agentic applications; First-party systems; Partner systems", "projectManagementSkills" : [ "Full software development life cycle" ], "domainKnowledge" : "Generative AI; Large Language Models; Distributed systems; Cloud technologies; Advertising lifecycle; AI trust and safety; Agentic experiences; Agent communication protocols; Agent state management; Event-driven architectures; Infrastructure governance; Data masking; Rate-limiting; Audit logging; Safety guardrails; Observability platforms; Personalized advertising; Advertiser catalog; Performance metrics", "domainList" : [ "generative-ai", "large-language-models", "distributed-systems", "cloud-technologies", "advertising-lifecycle", "ai-trust-and-safety", "agentic-experiences", "agent-communication-protocols", "agent-state-management", "event-driven-architectures", "infrastructure-governance", "data-masking", "rate-limiting", "audit-logging", "safety-guardrails", "observability-platforms", "personalized-advertising", "advertiser-catalog", "performance-metrics" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "Advertising lifecycle", "AI trust and safety", "Agentic experiences", "Agent communication protocols", "Agent state management", "Event-driven architectures", "Infrastructure governance", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "continuousLearning" : "Staying current with AI landscape", "innovationCreativity" : "Pioneer new approaches; Creative atmosphere; Innovate", "problemSolvingSkills" : "Creative problem-solver; Tackling complex challenges; Solve problems backed by data; Rational decision-making; Explore new problem spaces", "outcomesObjectives" : "Provide consistent outcomes; Provide well-reasoned outcomes; Deliver low latency experiences; Deliver secure advertiser experiences; Drive business impact; Deliver value to customers", "qualificationsBasic" : "Software engineering skills, Experience in distributed systems, Experience in cloud technologies, Creative problem-solver, Track record of delivering innovative solutions, Experience programming with at least one software programming language", "qualificationsPreferred" : "3+ years full software development life cycle, Coding standards experience, Code reviews experience, Source control management experience, Build processes experience, Testing experience, Operations experience, Bachelor's degree in computer science, Proven experience shipping Gen AI-powered features at scale, Deep understanding of AI trust and safety considerations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities • Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences • Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale. • Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem • Pioneer new approaches to conversational AI and natural language interactions in advertising • Shape the future of how businesses connect with customers through AI-powered advertising • Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences What we're looking for: • Passionate about Generative AI, Large Language Models, and their real-world applications • Strong software engineering skills with experience in distributed systems and cloud technologies • Creative problem-solver who thrives in ambiguity and loves tackling complex challenges • Track record of delivering innovative solutions that drive business impact • Enthusiasm for staying current with the rapidly evolving AI landscape A day in the life As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are: • Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making. • Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results. • Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team. • Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers • Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges About the team We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights. Why join us? • Be part of a team that's defining the future of AI in advertising • Work on projects with massive scale and impact, reaching millions of businesses and consumers • Collaborate with world-class AI researchers and engineers • Access to AI technologies and resources Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Distributed systems, Cloud technologies. Design Agentic service platform. Develop Agentic service platform", "postedDate" : "2026-06-13T01:46:36.935", "createdAt" : "2026-06-13T01:46:36.935", "lastUpdated" : "2026-06-15T01:17:27.911", "ingestTimestamp" : "2026-06-13T01:46:36.935", "mongoId" : "6931903470f0b99d58087a7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136770/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Rational decision-making", "Process improvement", "Tool improvement", "Problem-solving", "Analytical", "Team obsessed", "Humbitious", "Engaged by ambiguity", "Generative AI", "Large Language Models", "Distributed systems", "Cloud technologies", "System design", "Resource utilization optimization", "Token consumption optimization", "Memory footprint optimization", "AI-driven solutions integration", "Conversational AI", "Natural language interactions", "AI-powered advertising", "Scalable systems", "Data points processing", "Hyper-personalized ad experiences", "Agentic experiences", "Agent-to-agent communication", "Agent state management", "Event-driven integration pipelines", "Infrastructure governance", "Access-control frameworks", "Data masking", "Rate-limiting", "Audit logging", "Safety guardrails", "Observability platforms", "Performance optimization", "Telemetry-driven insights", "External developer exposure", "Partner system integration", "Personalized insights", "Advertiser catalog accounting", "Performance metrics accounting", "Advertiser Console personalization", "Selling Partner guidance", "Autonomous decisions", "Action execution", "Full software development life cycle", "Advertising lifecycle", "AI trust and safety", "Agent communication protocols", "Event-driven architectures", "Personalized advertising", "Advertiser catalog", "Performance metrics" ], "skillCount" : 54, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2c922074d8ee00a0985013", "title" : "Support & Cleaning", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 12000.0, "max" : 16000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level Hospitality roles in Olbia-Tempio, Italy, adjusted for part-time employment." }, "location" : "Olbia-Tempio, Italy", "locations" : [ "Olbia-Tempio", "Italy" ], "timestamp" : "2026-06-16T06:05:40.653", "fingerprint" : "5ef3a0e25802bef88b09847d1e8ed805fb36a6068d6edfab9ec071fd62de4fee", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://indiecampers.com/discover/en-us/careers/8587747002?gh_jid=8587747002", "externalId" : "8587747002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Olbia-Tempio", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.9253328,9.5067375" } ], "locationText" : "Olbia-Tempio, Italy", "employmentType" : "PART_TIME", "majorSkills" : "Fleet Cleaning, Vehicle Preparation, Inspection and Reporting, Stock Management, Depot Logistics", "majorSkillsList" : [ "Fleet Cleaning", "Vehicle Preparation", "Inspection and Reporting", "Stock Management", "Depot Logistics" ], "coreResponsibilities" : "Clean vehicle interiors and exteriors, Maintain hygiene and appearance standards, Ensure consistent high-quality results, Prepare campervans with kits, Prepare campervans with bedding, Prepare campervans with optional extras, Ensure readiness for bookings, Ensure readiness for check-in/check-out processes, Inspect vehicles upon return, Report issues for follow-up, Manage stock and consumables, Receive cleaning supplies, Store cleaning supplies, Organize cleaning supplies, Report shortages or damages, Assist with depot logistics, Keep cleaning areas organized, Move vehicles, Support operational needs during peak times", "continuousLearning" : "Training in cleaning standards; Training in detail verification; Training in minor repairs; Training in operational excellence", "specialRequirements" : "Physical lifting up to 15 kg, Working in tight spaces, Working on elevated surfaces, Repetitive motion, Working outdoors, Working in varying temperatures, Working in weather conditions, Working during high-volume operations, Working during peak season, Working weekends, Working holidays, Working peak seasonal schedules, Adapting to last-minute needs", "qualificationsBasic" : "Experience in cleaning, Attention to detail, Commitment to hygiene standards, Physically fit, Able to perform manual tasks, Reliable, Punctual, Able to work in high-paced environments, Driving License (Category B), English proficiency, Able to perform physically active cleaning tasks, Comfortable working inside vehicles, Comfortable working outdoors around the fleet, Able to lift, move, or carry cleaning equipment up to 15 kg, Comfortable using cleaning products and chemicals safely, Must follow safety company guidelines, Comfortable working in varying temperatures and weather conditions, Able to maintain cleaning quality and speed, Flexible to work weekends, holidays, and peak seasonal schedules, Capable of adapting to last-minute operational needs", "qualificationsPreferred" : "Hospitality experience preferred, Warehouse experience preferred, Housekeeping experience preferred, Operations experience preferred, Italian proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers is a global leader in road trip travel, operating one of the largest campervan fleets in the world. Support & Cleaning are essential to ensuring every van is spotless, safe, and ready for the next customer, directly influencing customer satisfaction and operational efficiency. THE ROLE The Support & Cleaning Agent focuses exclusively on maintaining the cleanliness, hygiene, and presentation of the rental fleet. This is a hands-on, physical, detail-oriented operational role responsible for: Cleaning vehicle interiors and exteriors Preparing vans with kits and essentials Inspecting vehicles post-return Managing cleaning supplies and consumables Supporting depot organisation and logistics WHAT WILL YOU WORK ON? Fleet Cleaning: clean and maintain vehicle interiors and exteriors to meet hygiene and appearance standards, ensuring consistent high-quality results. Vehicle Preparation: prepare campervans with required kits, bedding, and optional extras, ensuring readiness for bookings and check-in/check-out processes. Post-Return Inspection & Reporting: inspect vehicles upon return for cleanliness, missing items, or damage, and report issues for follow-up. Stock & Consumables Management: manage stock and consumables, including receiving, storing, and organizing supplies while reporting shortages or damages. Logistics & Depot Organisation: assist with depot logistics, keeping cleaning areas organized, moving vehicles, and supporting operational needs during peak times. WHO ARE WE LOOKING FOR? Must have: Experience in cleaning Nice to have: hospitality, warehouse, housekeeping, or operations preferred. Must have: Strong attention to detail and commitment to hygiene standards. Must have: Physically fit and able to perform manual tasks (cleaning, lifting, moving equipment). Must have: Reliable, punctual, and able to work in high-paced environments. Must have: Driving License (Category B). Must have: English and Nice to have: Italian Proficiency PHYSICAL AND OPERATIONAL REQUIREMENTS Must have: Able to perform physically active cleaning tasks for most of the shift, including standing, walking, bending, kneeling, stretching, and repetitive motion. Must have: Comfortable working inside vehicles (tight spaces, elevated surfaces), and outdoors around the fleet. Must have: Able to lift, move, or carry cleaning equipment, vacuum devices, water hoses, chemical products, or kits (up to 15 kg). Must have: Comfortable using cleaning products and chemicals safely, including disinfectants, detergents, stain removers, glass cleaners, and surface treatments (training provided). Must have: Must follow the safety company guidelines when handling chemical products Must have: Comfortable working in varying temperatures and weather conditions when washing or preparing vehicles outdoors. Must have: Able to maintain cleaning quality and speed during high-volume operations and peak season. Must have: Flexible to work weekends, holidays, and peak seasonal schedules. Must have: Capable of adapting to last-minute operational needs (e.g., urgent turnarounds or additional cleaning tasks). THE INDIE COMMITMENT! Competitive compensation and travel benefits. Clear progression to RoadTrip Agent or other operational roles. Training in cleaning standards, detail verification, minor repairs, and operational excellence. A multicultural, dynamic workplace with a strong team spirit. Are you Ready to Go Indie?", "summaryDescription" : "Support & Cleaning at Indie Campers. Skills: Fleet Cleaning, Vehicle Preparation, Inspection and Reporting, Stock Management, Depot Logistics. Clean vehicle interiors and exteriors. Maintain hygiene and appearance standards", "postedDate" : "2026-06-14T20:08:38.596", "createdAt" : "2026-06-14T20:08:38.596", "lastUpdated" : "2026-06-16T06:05:40.653", "ingestTimestamp" : "2026-06-14T20:08:38.596", "mongoId" : "6a2c922074d8ee00a0985013", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Fleet Cleaning", "Vehicle Preparation", "Inspection and Reporting", "Stock Management", "Depot Logistics" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "69f519c94c40e2acd1eb1bfe", "title" : "Sr. Financial Analyst, Sponsored Products and Brands Finance", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 60000.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65" ], "timestamp" : "2026-06-15T05:14:03.572", "fingerprint" : "b87718796df4c362e547a1b03b9638333f3b51df660eee53f704be3c1e0c147d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408978/apply", "externalId" : "f29b5d25-6d4b-4926-9e38-a94ff1bfe861", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, MATLAB, SQL", "professionalSkills" : [ "Financial modeling", "Risk management", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Risk management, Quantitative skills", "majorSkillsList" : [ "Financial analysis", "Risk management", "Quantitative skills" ], "coreResponsibilities" : "Analyze financial data, Develop financial models, Assess financial risks, Monitor market trends, Prepare financial reports, Ensure regulatory compliance, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Finance department", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; SOX; Basel III; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "sox", "basel-iii", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Report writing; Presentation skills", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "3+ years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, FRM preferred, Series 7 preferred, Series 63 preferred, Series 65 preferred, Bloomberg Terminal proficiency preferred, Reuters Eikon proficiency preferred, FactSet proficiency preferred, Murex proficiency preferred, Calypso proficiency preferred", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "As a Sr. Financial Analyst in the Sponsored Products finance organization, you will be a key member of the Sponsored Products advertising team. You will work side by side with product and finance leaders to develop business strategies, financial models and analytical insights that influence business decisions. As a finance partner, you will have the opportunity to work with large advertising data sets to influence the long-term evolution of our products and develop insights into various aspects of our business. Key job responsibilities Responsibilities include, but are not limited to: Serve as a finance partner for the SP product and engineering leaders on strategic initiatives, leading planning, business modeling, and financial analysis; Design and develop performance metrics, institute reporting mechanisms, and implement processes to drive insights related to business performance for stakeholders; Facilitate financial and operational metrics review meetings with product and finance leaders and work with business to drive effective execution; Develop financial models for new business initiatives, experimentation, and special projects; Collaborate with business intelligence engineers and data engineers to continually improve and enhance existing reporting and mechanisms, proactively identify performance issues and deep dive to investigate and uncover insights; A day in the life A day in the life of a Sr. Financial Analyst can include - leading a WBR to drive discussions with product teams on business performance, partner with product to investigate KPI trends and prepare a document to be reviewed with senior product leaders, collaborate with BIE and Data Engineering teams to design and implement a new set of metrics in multiple formats (WBR/MBR slides, dashboards) for business stakeholders. About the team Sponsored Products (SP) Advertising is one of the largest and fast growing business segments within Amazon Advertising. The SPB Finance team partners with this business to provide data analytics and reporting, support product initiative launches and performance tracking, drive operational improvements, and deep dive into business performance to provide insights that can enable growth. Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - 4+ years of Accounts Receivable or Account Payable experience - 4+ years of applying key financial performance indicators (KPIs) to analyses experience - 4+ years of creating process improvements with automation and analysis experience - 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience - Six Sigma Black Belt - Experience with advanced use of SQL for data mining and business intelligence - Experience as a lean sensei, or experience working as a Quality Assurance Engineer Preferred Qualifications: - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - Knowledge of Tableau - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 73,600.00 - 128,800.00 USD annually USA, WA, SEATTLE - 82,700.00 - 117,100.00 USD annually", "summaryDescription" : "Sr. Financial Analyst, Sponsored Products and Brands Finance at Amazon.com Services LLC. Skills: Financial analysis, Risk management, Quantitative skills. Analyze financial data. Develop financial models", "postedDate" : "2026-06-13T18:24:01.965", "createdAt" : "2026-06-13T18:24:01.965", "lastUpdated" : "2026-06-15T05:14:03.572", "ingestTimestamp" : "2026-06-13T18:24:01.965", "mongoId" : "69f519c94c40e2acd1eb1bfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408978/apply", "salaryAnnualMin" : 60000, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Risk management", "Quantitative skills", "Financial modeling", "Quantitative analysis", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 42, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c922074d8ee00a0985010", "title" : "Support & Cleaning", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 230000.0, "max" : 290000.0, "currency" : "NOK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level hospitality roles in Oslo, Norway, are estimated based on the market baseline, adjusted for entry seniority and part-time employment." }, "location" : "Oslo, Oslo, Norway", "locations" : [ "Oslo", "Oslo", "Norway" ], "timestamp" : "2026-06-16T01:32:49.950", "fingerprint" : "fdfb9fe2698a69912fb90030c8baf9f857c92a0d5f088795303c2d2a9b5beda2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://indiecampers.com/discover/en-us/careers/8587749002?gh_jid=8587749002", "externalId" : "8587749002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oslo", "state" : "Oslo", "country" : "Norway", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "59.9723975,10.7757292" } ], "locationText" : "Oslo, Oslo, Norway", "employmentType" : "PART_TIME", "hardSkillsList" : [ "Cleaning" ], "hardSkills" : [ { "name" : "Cleaning", "level" : "intermediate" } ], "majorSkills" : "Fleet cleaning, Vehicle preparation, Stock management", "majorSkillsList" : [ "Fleet cleaning", "Vehicle preparation", "Stock management" ], "coreResponsibilities" : "Clean vehicle interiors, Clean vehicle exteriors, Prepare vans with kits, Prepare vans with essentials, Inspect vehicles post-return, Manage cleaning supplies, Manage consumables, Support depot organisation, Support depot logistics, Meet hygiene standards, Meet appearance standards, Ensure high-quality results, Ensure readiness for bookings, Report issues for follow-up, Receive cleaning supplies, Store cleaning supplies, Organize cleaning supplies, Report shortages, Report damages, Keep cleaning areas organized, Move vehicles, Support operational needs", "teamCollaboration" : "Multicultural workplace; Team spirit", "domainKnowledge" : "Road trip travel; Campervan fleet operations", "domainList" : [ "road-trip-travel", "campervan-fleet-operations" ], "domainSpecificKnowledge" : [ "Road trip travel", "Campervan fleet operations" ], "continuousLearning" : "Training in cleaning standards; Training in detail verification; Training in minor repairs; Training in operational excellence", "specialRequirements" : "Physical cleaning tasks, Working inside vehicles, Working outdoors, Lifting up to 15 kg, Using cleaning chemicals, Varying temperatures, Varying weather conditions, High-volume operations, Peak season work, Weekend work, Holiday work, Peak seasonal schedules, Last-minute needs", "outcomesObjectives" : "Ensure every van is spotless; Ensure every van is safe; Ensure every van is ready; Influence customer satisfaction; Influence operational efficiency", "qualificationsBasic" : "Experience in cleaning, Attention to detail, Commitment to hygiene standards, Physically fit, Able to perform manual tasks, Reliable, Punctual, Able to work in high-paced environments, Driving License (Category B), English proficiency, Able to perform physically active cleaning tasks, Comfortable working inside vehicles, Comfortable working outdoors around fleet, Able to lift up to 15 kg, Comfortable using cleaning products and chemicals safely, Must follow safety company guidelines, Comfortable working in varying temperatures, Able to maintain cleaning quality and speed, Flexible to work weekends, Flexible to work holidays, Flexible to work peak seasonal schedules, Capable of adapting to last-minute operational needs", "qualificationsPreferred" : "Hospitality experience preferred, Warehouse experience preferred, Housekeeping experience preferred, Operations experience preferred, Norwegian proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers is a global leader in road trip travel, operating one of the largest campervan fleets in the world. Support & Cleaning are essential to ensuring every van is spotless, safe, and ready for the next customer, directly influencing customer satisfaction and operational efficiency. THE ROLE The Support & Cleaning Agent focuses exclusively on maintaining the cleanliness, hygiene, and presentation of the rental fleet. This is a hands-on, physical, detail-oriented operational role responsible for: Cleaning vehicle interiors and exteriors Preparing vans with kits and essentials Inspecting vehicles post-return Managing cleaning supplies and consumables Supporting depot organisation and logistics WHAT WILL YOU WORK ON? Fleet Cleaning: clean and maintain vehicle interiors and exteriors to meet hygiene and appearance standards, ensuring consistent high-quality results. Vehicle Preparation: prepare campervans with required kits, bedding, and optional extras, ensuring readiness for bookings and check-in/check-out processes. Post-Return Inspection & Reporting: inspect vehicles upon return for cleanliness, missing items, or damage, and report issues for follow-up. Stock & Consumables Management: manage stock and consumables, including receiving, storing, and organizing supplies while reporting shortages or damages. Logistics & Depot Organisation: assist with depot logistics, keeping cleaning areas organized, moving vehicles, and supporting operational needs during peak times. WHO ARE WE LOOKING FOR? Must have: Experience in cleaning Nice to have: hospitality, warehouse, housekeeping, or operations preferred. Must have: Strong attention to detail and commitment to hygiene standards. Must have: Physically fit and able to perform manual tasks (cleaning, lifting, moving equipment). Must have: Reliable, punctual, and able to work in high-paced environments. Must have: Driving License (Category B). Must have: English and Nice to have: Norwegian proficiency PHYSICAL AND OPERATIONAL REQUIREMENTS Must have: Able to perform physically active cleaning tasks for most of the shift, including standing, walking, bending, kneeling, stretching, and repetitive motion. Must have: Comfortable working inside vehicles (tight spaces, elevated surfaces), and outdoors around the fleet. Must have: Able to lift, move, or carry cleaning equipment, vacuum devices, water hoses, chemical products, or kits (up to 15 kg). Must have: Comfortable using cleaning products and chemicals safely, including disinfectants, detergents, stain removers, glass cleaners, and surface treatments (training provided). Must have: Must follow the safety company guidelines when handling chemical products Must have: Comfortable working in varying temperatures and weather conditions when washing or preparing vehicles outdoors. Must have: Able to maintain cleaning quality and speed during high-volume operations and peak season. Must have: Flexible to work weekends, holidays, and peak seasonal schedules. Must have: Capable of adapting to last-minute operational needs (e.g., urgent turnarounds or additional cleaning tasks). THE INDIE COMMITMENT! Competitive compensation and travel benefits. Clear progression to RoadTrip Agent or other operational roles. Training in cleaning standards, detail verification, minor repairs, and operational excellence. A multicultural, dynamic workplace with a strong team spirit. Are you Ready to Go Indie?", "summaryDescription" : "Support & Cleaning at Indie Campers. Skills: Fleet cleaning, Vehicle preparation, Stock management. Clean vehicle interiors. Clean vehicle exteriors", "postedDate" : "2026-06-14T19:14:25.017", "createdAt" : "2026-06-14T19:14:25.017", "lastUpdated" : "2026-06-16T01:32:49.950", "ingestTimestamp" : "2026-06-14T19:14:25.017", "mongoId" : "6a2c922074d8ee00a0985010", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cleaning", "Fleet cleaning", "Vehicle preparation", "Stock management", "Road trip travel", "Campervan fleet operations" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e4ce260f92cbf8eb9a", "title" : "Senior Software Development Engineer, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:32:18.150", "fingerprint" : "80d691f43f0a1746713e43fe7f26338fdfe376c1055c12dd5b67fbc7b5c255ef", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099209/apply", "externalId" : "95d0f5e4-2523-4e2a-be27-db3062755b3a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, AI", "professionalSkills" : [ "System design", "Architecture design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Video ad optimization" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Video ad optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Advertising technology, System architecture", "majorSkillsList" : [ "Generative AI", "Advertising technology", "System architecture" ], "coreResponsibilities" : "Lead feature development, Architect scalable solutions, Optimize video ad performance, Integrate ad experiences, Mentor junior developers", "teamCollaboration" : "Engineering teams; Scientists; Designers", "domainKnowledge" : "Advertising landscape; Advertising lifecycle; Video serving; Video rendering", "domainList" : [ "advertising-landscape", "advertising-lifecycle", "video-serving", "video-rendering" ], "domainSpecificKnowledge" : [ "Advertising landscape", "Advertising lifecycle", "Video serving", "Video rendering" ], "continuousLearning" : "Culture of learning", "innovationCreativity" : "Innovative features; Re-inventing advertising experiences", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading system design, Mentor or tech lead experience, AI solution development track record", "qualificationsPreferred" : "5+ years full SDLC experience, Master's degree in computer science, Experience leading system architecture, Experience optimizing video serving, Experience optimizing video rendering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities * Lead the development of innovative features for Sponsored Brands Video, enhancing our online shopping experience. * Architect scalable solutions that can handle our evolving ad creatives and high traffic volumes. * Optimize video ad performance. * Work with page owners to seamlessly integrate ad experiences into Amazon Retail. * Mentor junior developers and contribute to our culture of learning and growth. A day in the life As a Senior Software Development Engineer on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide. About the team The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping beautiful, delightful, & personal. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Demonstrated track record of innovative AI solution development. Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience optimizing video serving and rendering. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Advertising technology, System architecture. Lead feature development. Architect scalable solutions", "postedDate" : "2026-06-13T16:22:51.770", "createdAt" : "2026-06-13T16:22:51.770", "lastUpdated" : "2026-06-15T06:32:18.150", "ingestTimestamp" : "2026-06-13T16:22:51.770", "mongoId" : "68e0a7e4ce260f92cbf8eb9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099209/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Video ad optimization", "Mentoring", "Generative AI", "Advertising technology", "System architecture", "System design", "Architecture design", "Reliability", "Scaling", "Advertising landscape", "Advertising lifecycle", "Video serving", "Video rendering" ], "skillCount" : 13, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "68e6b1d070f0b99d58d664d0", "title" : "Senior Product Manager - Tech, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Advertising", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:06:25.484", "fingerprint" : "a84675b16fce5c087566de91427df85f7d52befbff421e2a3feef46ee23c55b7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102681/apply", "externalId" : "f7935edf-8cee-46c4-9e4a-c94430da9949", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Generative AI, AI, Machine Learning", "professionalSkills" : [ "Product strategy", "Roadmap development", "Requirements definition", "New business initiatives", "Campaign performance" ], "hardSkillsList" : [ "Product delivery", "Roadmap strategy", "Technical product management", "Feature delivery", "Analytical skills" ], "hardSkills" : [ { "name" : "Product delivery", "level" : "intermediate" }, { "name" : "Roadmap strategy", "level" : "intermediate" }, { "name" : "Technical product management", "level" : "intermediate" }, { "name" : "Feature delivery", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Product management, Generative AI, Advertising products", "majorSkillsList" : [ "Product management", "Generative AI", "Advertising products" ], "coreResponsibilities" : "Develop AI solutions, Build products leveraging generative models, Invent and design new solutions, Identify new opportunities, Write new proposals, Collaborate with cross-functional teams, Experiment with new possibilities, Take calculated risks, Develop product strategies, Develop roadmaps, Develop detailed requirements, Work closely with science teams, Work closely with engineering teams, Work closely with design teams, Work closely with operations teams, Work closely with legal teams, Work closely with customer service teams, Work closely with executive teams, Leverage analytical skills, Design Gen AI solutions, Implement Gen AI solutions, Create ad campaigns, Define advertising products, Deliver advertising products", "teamCollaboration" : "Cross-functional teams; Science teams; Engineering teams; Design teams; Operations teams; Legal teams; Customer service teams; Executive teams", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Sponsored Products; Sponsored Brands; Generative AI; Advertising landscape; Advertising lifecycle; Marketplace ecosystem; Amazon Ads", "domainList" : [ "sponsored-products", "sponsored-brands", "generative-ai", "advertising-landscape", "advertising-lifecycle", "marketplace-ecosystem", "amazon-ads" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Generative AI", "Advertising landscape", "Advertising lifecycle", "Marketplace ecosystem", "Amazon Ads" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "innovationCreativity" : "Invent new solutions; Experiment with new possibilities", "problemSolvingSkills" : "Solving complex challenges; Analytical skills", "outcomesObjectives" : "Improve campaign performance; Drive new growth areas; Improve overall experience; Drive brand discovery; Drive sales", "qualificationsBasic" : "2+ years end to end product delivery, 5+ years technical product management, Bachelor's degree, Contribute to engineering discussions, Experience with feature delivery, Experience owning roadmap strategy, Experience managing technical products, Representing customer and stakeholder needs", "qualificationsPreferred" : "Experience using analytical tools, Experience building new tools, Experience in advertising, Experience with AI/ML technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities Key job responsibilities Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build products that leverage generative models to improve campaign performance. You invent and design new solutions for scientifically-complex problem areas in new business initiatives. Identify new opportunities and write new proposals to help us drive new growth areas for our advertisers. Collaborate with cross-functional teams on fast-paced, challenging projects, experimenting with new possibilities and taking calculated risks. Develop product strategies, roadmaps, and detailed requirements to execute your vision. Work closely with science, engineering, design, operations, legal, customer service, and executive teams to ensure seamless execution. Leverage your analytical skills and work independently, with high standards. Throughout, you will internalize Amazon’s Leadership Principles, and live those into everyday practices to guide your programs to success. About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit. Basic Qualifications: - 2+ years of end to end product delivery experience - 5+ years of technical product or program management experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Experience in advertising - Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Product Manager - Tech, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Product management, Generative AI, Advertising products. Develop AI solutions. Build products leveraging generative models", "postedDate" : "2026-06-13T15:54:07.540", "createdAt" : "2026-06-13T15:54:07.540", "lastUpdated" : "2026-06-15T02:06:25.484", "ingestTimestamp" : "2026-06-13T15:54:07.540", "mongoId" : "68e6b1d070f0b99d58d664d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102681/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product delivery", "Roadmap strategy", "Technical product management", "Feature delivery", "Analytical skills", "Product management", "Generative AI", "Advertising products", "Product strategy", "Roadmap development", "Requirements definition", "New business initiatives", "Campaign performance", "Roadmap definition", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Advertising lifecycle", "Marketplace ecosystem", "Amazon Ads", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 23, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69d3e6b92beec4dd3d3f7418", "title" : "Business Analyst II, Relay Supply Products and Technology", "company" : "ADCI", "industry" : "Operations, IT, Support Engineering, Planning/Development, Logistics", "salary" : { "min" : 1300000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Analyst in the Logistics industry in Gurugram, India, adjusted for company size and full-time employment." }, "location" : "Gurugram, Haryana, IND", "locations" : [ "Gurugram, Haryana, IND" ], "timestamp" : "2026-06-15T03:03:57.981", "fingerprint" : "f29d6776d2661c35c54938e5f5d6efe4bd1f73582a506dc5869af7a5a2e9e8ba", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383636/apply", "externalId" : "a6d0056d-b4fe-4c3e-8767-83a7f5191b79", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, Haryana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, HTML, Java, R, VBA, Excel", "professionalSkills" : [ "Data visualization", "Automation solutions", "Business decision making", "Process improvement", "Analytical modeling", "Data management", "Business performance", "Customer focus", "Key performance indicators", "Process issues" ], "hardSkillsList" : [ "Data analysis", "Query building", "Macro building", "Report design", "Data retrieval", "Data organization", "Reporting solutions", "Data discrepancies", "Metric building", "Process execution", "Complex queries" ], "softSkillsList" : [ "Flexibility" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Query building", "level" : "intermediate" }, { "name" : "Macro building", "level" : "intermediate" }, { "name" : "Report design", "level" : "intermediate" }, { "name" : "Data retrieval", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Reporting solutions", "level" : "intermediate" }, { "name" : "Data discrepancies", "level" : "intermediate" }, { "name" : "Metric building", "level" : "intermediate" }, { "name" : "Process execution", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Flexibility" } ], "majorSkills" : "Data analysis, Data visualization, Automation", "majorSkillsList" : [ "Data analysis", "Data visualization", "Automation" ], "coreResponsibilities" : "Provide data management processes, Access raw data feeds, Build queries, Build macros, Write VBA code, Organize data, Design reports, Present status-at-a-glance visualization, Retrieve large sets of data, Analyze large sets of data, Design reporting solutions, Enable stakeholders to manage business, Enable stakeholders to make decisions, Take ownership of reporting processes, Ensure reports are accurate, Ensure reports are timely, Resolve data discrepancies, Build key performance indicators, Manage key performance indicators, Measure reporting processes, Control reporting processes, Benchmark reporting processes, Monitor existent metrics, Build new metrics, Partner with internal teams, Identify process improvement opportunities, Identify system improvement opportunities, Support cross-functional teams, Execute existent program implementation, Generate complex queries, Dive deep on process issues, Innovate to improve customer experience", "teamCollaboration" : "Cross-functional teams; Internal teams", "domainKnowledge" : "Middle Mile Technology; Vendor management; Warehouse management; Carrier management; Product management", "domainList" : [ "middle-mile-technology", "vendor-management", "warehouse-management", "carrier-management", "product-management" ], "domainSpecificKnowledge" : [ "Middle Mile Technology", "Vendor management", "Warehouse management", "Carrier management", "Product management" ], "toolProficiency" : [ "Excel", "Tableau" ], "communicationSkills" : "Communicate findings; Influence stakeholders", "innovationCreativity" : "Innovate to improve customer experience", "problemSolvingSkills" : "Problem solving skills; Analytical skills", "qualificationsBasic" : "3+ years tax, finance or related analytical field experience, 5+ years Excel experience, 3+ years business or financial analysis experience, Experience defining requirements, Experience using data and metrics, Experience with SQL, Experience making business recommendations, Experience influencing stakeholders", "qualificationsPreferred" : "Bachelor's degree in business or analytical discipline, Experience in business or financial analysis, Experience in customer segmentation, Experience in customer behavior analysis, Experience in conjoint/trade-off modeling", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. The Middle Mile Technology organization, builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. We are seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of middle mile technology and promotes career progression Key job responsibilities • Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. • Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. • Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. • Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies. • Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes. • Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities. • Supporting cross-functional teams on the day-to-day execution of the existent program implementation. • Generating complex queries to dive deep on process issues • Innovating to improve customer experience Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience with Excel - Experience with SQL - Experience making business recommendations and influencing stakeholders Preferred Qualifications: - Bachelor's degree in business or analytical discipline - Experience in business or financial analysis - Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Analyst II, Relay Supply Products and Technology at ADCI. Skills: Data analysis, Data visualization, Automation. Provide data management processes. Access raw data feeds", "postedDate" : "2026-06-13T15:10:52.215", "createdAt" : "2026-06-13T15:10:52.215", "lastUpdated" : "2026-06-15T03:03:57.981", "ingestTimestamp" : "2026-06-13T15:10:52.215", "mongoId" : "69d3e6b92beec4dd3d3f7418", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383636/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Query building", "Macro building", "Report design", "Data retrieval", "Data organization", "Reporting solutions", "Data discrepancies", "Metric building", "Process execution", "Complex queries", "Flexibility", "Data visualization", "Automation", "Automation solutions", "Business decision making", "Process improvement", "Analytical modeling", "Data management", "Business performance", "Customer focus", "Key performance indicators", "Process issues", "Middle Mile Technology", "Vendor management", "Warehouse management", "Carrier management", "Product management", "Excel", "Tableau" ], "skillCount" : 30, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145b74d8ee00a00bb5a7", "title" : "Sr. Technical Program Manager, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, Advertising", "salary" : { "min" : 148700.0, "max" : 201200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:47:54.961", "fingerprint" : "c95365fe696f492e2711bd3917dcdbeb6e5dde5c121d5be28ba06d1ceeb5ce81", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440611/apply", "externalId" : "b1cf8fea-9efa-4368-990e-9b40a955f4d5", "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", "professionalSkills" : [ "System design", "Business judgment", "Technical judgment" ], "hardSkillsList" : [ "Risk assessment" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Technical program management, Generative AI, System design", "majorSkillsList" : [ "Technical program management", "Generative AI", "System design" ], "coreResponsibilities" : "Lead delivery of initiatives, Develop product strategies, Develop roadmaps, Develop detailed requirements, Assess risk, Drive clarity, Create sense of urgency, Define mechanisms to optimize output, Define mechanisms to optimize collaboration, Develop team’s technical strategy", "teamCollaboration" : "Cross-functional teams; Multiple Amazon organizations; Engineering; Product; Finance; Business intelligence", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Conversational AI; Generative AI; Advertising technology; Multi-turn interfaces", "domainList" : [ "conversational-ai", "generative-ai", "advertising-technology", "multi-turn-interfaces" ], "domainSpecificKnowledge" : [ "Conversational AI", "Generative AI", "Advertising technology", "Multi-turn interfaces" ], "innovationCreativity" : "Invent; Design; Build", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years technical program management, 3+ years software development, 5+ years TPM with engineering teams, Manage programs across cross functional teams, Build processes and coordinate release schedules, Build and evaluate system-level technical design, Develop and execute product and technical roadmaps", "qualificationsPreferred" : "5+ years project management disciplines, Define KPIs/SLAs for multi-million dollar businesses, Report to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands 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 ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. As a Sr TPM you will collaborate with partners across numerous domains including engineering, product, finance, business intelligence, and more. You will be responsible for managing multiple projects, while working across teams within the greater Sponsored Products organization. You will not only help us deliver on our goals, but will also help shape our engineering vision and roadmap through active collaboration with our leadership team. Our ideal candidate will be highly self-driven, have excellent communication skills, and possess a strong technical background focused on problem solving and system design. If you are an individual who is looking for an opportunity to lead, invent, design and build, while making a huge impact on Amazon and its customers, this is the perfect time to jump onboard. Key job responsibilities - Successfully lead delivery of large, high-impact initiatives across multiple teams and organizations - Work with stakeholders and senior leadership to develop product strategies, roadmaps, and detailed requirements to execute on our vision - Bring strong, data-driven business and technical judgment to decisions. Assess risk, drive clarity, and create the correct sense of urgency for delivery - Define mechanism to optimize the output and collaboration within the team and with partners - Help develop the team’s long-term technical strategy based on our business goals Basic Qualifications: - 5+ years of technical product or program management experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience building and evaluating system-level technical design - Experience developing and executing/delivering product and technical roadmaps Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 163,600.00 - 221,300.00 USD annually USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually", "summaryDescription" : "Sr. Technical Program Manager, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Technical program management, Generative AI, System design. Lead delivery of initiatives. Develop product strategies", "postedDate" : "2026-06-13T14:39:33.021", "createdAt" : "2026-06-13T14:39:33.021", "lastUpdated" : "2026-06-15T05:47:54.961", "ingestTimestamp" : "2026-06-13T14:39:33.021", "mongoId" : "6a25145b74d8ee00a00bb5a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440611/apply", "salaryAnnualMin" : 148700, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Risk assessment", "Technical program management", "Generative AI", "System design", "Business judgment", "Technical judgment", "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management", "Conversational AI", "Advertising technology", "Multi-turn interfaces" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a2c922074d8ee00a0985018", "title" : "Support & Cleaning", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 10000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level Support & Cleaning position in Bergamo, Italy, considering the hospitality industry and part-time employment." }, "location" : "Bergamo Depot", "locations" : [ "Bergamo Depot" ], "timestamp" : "2026-06-16T04:10:53.197", "fingerprint" : "e6431e865134ee79eb8020660835ea97a066b7c389a4573a536db430ad346bb8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://indiecampers.com/discover/en-us/careers/8587728002?gh_jid=8587728002", "externalId" : "8587728002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bergamo", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.7566557,9.7542192" } ], "locationText" : "Bergamo, Italy", "employmentType" : "PART_TIME", "coreResponsibilities" : "Clean vehicle interiors, Clean vehicle exteriors, Prepare vans with kits, Prepare vans with essentials, Inspect vehicles post-return, Manage cleaning supplies, Manage consumables, Support depot organisation, Support depot logistics, Maintain vehicle interiors, Maintain vehicle exteriors, Meet hygiene standards, Meet appearance standards, Ensure high-quality results, Prepare campervans with required kits, Prepare campervans with bedding, Prepare campervans with optional extras, Ensure readiness for bookings, Ensure readiness for check-in/check-out, Inspect vehicles upon return, Report issues for follow-up, Manage stock, Organize supplies, Report shortages, Report damages, Keep cleaning areas organized, Move vehicles, Support operational needs", "continuousLearning" : "Training in cleaning standards; Training in detail verification; Training in minor repairs; Training in operational excellence", "specialRequirements" : "Lifting up to 15 kg, Working inside vehicles, Working outdoors, Using cleaning products, Working in varying temperatures, Working in weather conditions, Flexible work schedule, Adapting to last-minute needs", "qualificationsBasic" : "Experience in cleaning, Attention to detail, Commitment to hygiene standards, Physically fit, Able to perform manual tasks, Reliable, Punctual, Able to work in high-paced environments, Driving License (Category B), English proficiency, Able to perform physically active cleaning tasks, Comfortable working inside vehicles, Comfortable working outdoors, Able to lift up to 15 kg, Comfortable using cleaning products safely, Follow safety company guidelines, Comfortable working in varying temperatures, Comfortable working in weather conditions, Maintain cleaning quality and speed, Flexible to work weekends, Flexible to work holidays, Flexible to work peak seasonal schedules, Capable of adapting to last-minute operational needs", "qualificationsPreferred" : "Hospitality experience preferred, Warehouse experience preferred, Housekeeping experience preferred, Operations experience preferred, Italian proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers is a global leader in road trip travel, operating one of the largest campervan fleets in the world. Support & Cleaning are essential to ensuring every van is spotless, safe, and ready for the next customer, directly influencing customer satisfaction and operational efficiency. THE ROLE The Support & Cleaning Agent focuses exclusively on maintaining the cleanliness, hygiene, and presentation of the rental fleet. This is a hands-on, physical, detail-oriented operational role responsible for: Cleaning vehicle interiors and exteriors Preparing vans with kits and essentials Inspecting vehicles post-return Managing cleaning supplies and consumables Supporting depot organisation and logistics WHAT WILL YOU WORK ON? Fleet Cleaning: clean and maintain vehicle interiors and exteriors to meet hygiene and appearance standards, ensuring consistent high-quality results. Vehicle Preparation: prepare campervans with required kits, bedding, and optional extras, ensuring readiness for bookings and check-in/check-out processes. Post-Return Inspection & Reporting: inspect vehicles upon return for cleanliness, missing items, or damage, and report issues for follow-up. Stock & Consumables Management: manage stock and consumables, including receiving, storing, and organizing supplies while reporting shortages or damages. Logistics & Depot Organisation: assist with depot logistics, keeping cleaning areas organized, moving vehicles, and supporting operational needs during peak times. WHO ARE WE LOOKING FOR? Must have: Experience in cleaning Nice to have: hospitality, warehouse, housekeeping, or operations preferred. Must have: Strong attention to detail and commitment to hygiene standards. Must have: Physically fit and able to perform manual tasks (cleaning, lifting, moving equipment). Must have: Reliable, punctual, and able to work in high-paced environments. Must have: Driving License (Category B). Must have: English and Nice to have: Italian Proficiency PHYSICAL AND OPERATIONAL REQUIREMENTS Must have: Able to perform physically active cleaning tasks for most of the shift, including standing, walking, bending, kneeling, stretching, and repetitive motion. Must have: Comfortable working inside vehicles (tight spaces, elevated surfaces), and outdoors around the fleet. Must have: Able to lift, move, or carry cleaning equipment, vacuum devices, water hoses, chemical products, or kits (up to 15 kg). Must have: Comfortable using cleaning products and chemicals safely, including disinfectants, detergents, stain removers, glass cleaners, and surface treatments (training provided). Must have: Must follow the safety company guidelines when handling chemical products Must have: Comfortable working in varying temperatures and weather conditions when washing or preparing vehicles outdoors. Must have: Able to maintain cleaning quality and speed during high-volume operations and peak season. Must have: Flexible to work weekends, holidays, and peak seasonal schedules. Must have: Capable of adapting to last-minute operational needs (e.g., urgent turnarounds or additional cleaning tasks). THE INDIE COMMITMENT! Competitive compensation and travel benefits. Clear progression to RoadTrip Agent or other operational roles. Training in cleaning standards, detail verification, minor repairs, and operational excellence. A multicultural, dynamic workplace with a strong team spirit. Are you Ready to Go Indie?", "summaryDescription" : "Support & Cleaning at Indie Campers. Clean vehicle interiors. Clean vehicle exteriors", "postedDate" : "2026-06-14T20:04:11.253", "createdAt" : "2026-06-14T20:04:11.253", "lastUpdated" : "2026-06-16T04:10:53.197", "ingestTimestamp" : "2026-06-14T20:04:11.253", "mongoId" : "6a2c922074d8ee00a0985018", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c922074d8ee00a098500e", "title" : "Support & Cleaning", "company" : "Indie Campers", "industry" : "Hospitality", "salary" : { "min" : 240000.0, "max" : 300000.0, "currency" : "NOK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level part-time support and cleaning roles in Tromsø, Norway, are estimated based on the 2024-2025 market data for the travel industry, adjusted for entry seniority and part-time employment." }, "location" : "Tromsø, Troms, Norway", "locations" : [ "Tromsø", "Troms", "Norway" ], "timestamp" : "2026-06-15T05:03:11.425", "fingerprint" : "205b658825c6f6e63bee4462735b63af562b5494162bdd2b43aba12cb93253a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://indiecampers.com/discover/en-us/careers/8587756002?gh_jid=8587756002", "externalId" : "8587756002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tromsø", "state" : "Troms", "country" : "Norway", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "69.6516345,18.9558585" } ], "locationText" : "Tromsø, Troms, Norway", "employmentType" : "PART_TIME", "professionalSkills" : [ "Process management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Cleaning", "Vehicle preparation", "Stock management", "Depot organisation" ], "hardSkills" : [ { "name" : "Cleaning", "level" : "intermediate" }, { "name" : "Vehicle preparation", "level" : "intermediate" }, { "name" : "Stock management", "level" : "intermediate" }, { "name" : "Depot organisation", "level" : "intermediate" } ], "majorSkills" : "Fleet cleaning, Vehicle preparation, Stock management", "majorSkillsList" : [ "Fleet cleaning", "Vehicle preparation", "Stock management" ], "coreResponsibilities" : "Clean vehicle interiors, Clean vehicle exteriors, Prepare vans with kits, Prepare vans with essentials, Inspect vehicles post-return, Manage cleaning supplies, Manage consumables, Support depot organisation, Support depot logistics, Maintain hygiene standards, Maintain appearance standards, Report issues for follow-up, Report shortages or damages, Keep cleaning areas organized, Move vehicles, Support operational needs", "teamCollaboration" : "Cross-functional coordination; Vendor management; Stakeholder management", "domainKnowledge" : "Road trip travel; Campervan fleet operations", "domainList" : [ "road-trip-travel", "campervan-fleet-operations" ], "domainSpecificKnowledge" : [ "Road trip travel", "Campervan fleet operations" ], "continuousLearning" : "Training in cleaning standards; Training in detail verification; Training in minor repairs; Training in operational excellence", "specialRequirements" : "Physical lifting up to 15 kg, Work in tight spaces, Work on elevated surfaces, Work in varying temperatures, Work in weather conditions, Work during peak season, Work during high-volume operations", "outcomesObjectives" : "Ensure every van is spotless; Ensure every van is safe; Ensure every van is ready; Influence customer satisfaction; Influence operational efficiency; Meet hygiene standards; Meet appearance standards; Achieve high-quality results", "qualificationsBasic" : "Experience in cleaning, Attention to detail, Commitment to hygiene standards, Physically fit, Able to perform manual tasks, Reliable, Punctual, Able to work in high-paced environments, Driving License (Category B), English proficiency, Able to perform physically active cleaning tasks, Comfortable working inside vehicles, Comfortable working outdoors, Able to lift, move, or carry cleaning equipment (up to 15 kg), Comfortable using cleaning products and chemicals safely, Must follow safety company guidelines, Comfortable working in varying temperatures, Comfortable working in weather conditions, Able to maintain cleaning quality and speed, Flexible to work weekends, Flexible to work holidays, Flexible to work peak seasonal schedules, Capable of adapting to last-minute operational needs", "qualificationsPreferred" : "Hospitality experience preferred, Warehouse experience preferred, Housekeeping experience preferred, Operations experience preferred, Norwegian proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Indie Campers is a global leader in road trip travel, operating one of the largest campervan fleets in the world. Support & Cleaning are essential to ensuring every van is spotless, safe, and ready for the next customer, directly influencing customer satisfaction and operational efficiency. THE ROLE The Support & Cleaning Agent focuses exclusively on maintaining the cleanliness, hygiene, and presentation of the rental fleet. This is a hands-on, physical, detail-oriented operational role responsible for: Cleaning vehicle interiors and exteriors Preparing vans with kits and essentials Inspecting vehicles post-return Managing cleaning supplies and consumables Supporting depot organisation and logistics WHAT WILL YOU WORK ON? Fleet Cleaning: clean and maintain vehicle interiors and exteriors to meet hygiene and appearance standards, ensuring consistent high-quality results. Vehicle Preparation: prepare campervans with required kits, bedding, and optional extras, ensuring readiness for bookings and check-in/check-out processes. Post-Return Inspection & Reporting: inspect vehicles upon return for cleanliness, missing items, or damage, and report issues for follow-up. Stock & Consumables Management: manage stock and consumables, including receiving, storing, and organizing supplies while reporting shortages or damages. Logistics & Depot Organisation: assist with depot logistics, keeping cleaning areas organized, moving vehicles, and supporting operational needs during peak times. WHO ARE WE LOOKING FOR? Must have: Experience in cleaning Nice to have: hospitality, warehouse, housekeeping, or operations preferred. Must have: Strong attention to detail and commitment to hygiene standards. Must have: Physically fit and able to perform manual tasks (cleaning, lifting, moving equipment). Must have: Reliable, punctual, and able to work in high-paced environments. Must have: Driving License (Category B). Must have: English and Nice to have: Norwegian proficiency PHYSICAL AND OPERATIONAL REQUIREMENTS Must have: Able to perform physically active cleaning tasks for most of the shift, including standing, walking, bending, kneeling, stretching, and repetitive motion. Must have: Comfortable working inside vehicles (tight spaces, elevated surfaces), and outdoors around the fleet. Must have: Able to lift, move, or carry cleaning equipment, vacuum devices, water hoses, chemical products, or kits (up to 15 kg). Must have: Comfortable using cleaning products and chemicals safely, including disinfectants, detergents, stain removers, glass cleaners, and surface treatments (training provided). Must have: Must follow the safety company guidelines when handling chemical products Must have: Comfortable working in varying temperatures and weather conditions when washing or preparing vehicles outdoors. Must have: Able to maintain cleaning quality and speed during high-volume operations and peak season. Must have: Flexible to work weekends, holidays, and peak seasonal schedules. Must have: Capable of adapting to last-minute operational needs (e.g., urgent turnarounds or additional cleaning tasks). THE INDIE COMMITMENT! Competitive compensation and travel benefits. Clear progression to RoadTrip Agent or other operational roles. Training in cleaning standards, detail verification, minor repairs, and operational excellence. A multicultural, dynamic workplace with a strong team spirit. Are you Ready to Go Indie?", "summaryDescription" : "Support & Cleaning at Indie Campers. Skills: Fleet cleaning, Vehicle preparation, Stock management. Clean vehicle interiors. Clean vehicle exteriors", "postedDate" : "2026-06-14T08:27:33.568", "createdAt" : "2026-06-14T08:27:33.568", "lastUpdated" : "2026-06-15T05:03:11.425", "ingestTimestamp" : "2026-06-14T08:27:33.568", "mongoId" : "6a2c922074d8ee00a098500e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cleaning", "Vehicle preparation", "Stock management", "Depot organisation", "Fleet cleaning", "Process management", "Resource planning", "Continuous improvement", "Road trip travel", "Campervan fleet operations" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "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" } ], "status" : 200, "message" : "using specialised cleaning equipment and products safely and effectively jobs", "metadata" : { "title" : "using specialised cleaning equipment and products safely and effectively" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 43254, "totalPages" : 866, "hasNext" : true, "hasPrevious" : false } }

Remote Using Specialised Cleaning Equipment And Products Safely And Effectively Jobs

Top Skills

Manager, Cleaning and Waste Planning & Integration

Manager, Cleaning and Waste Planning & Integration

Manager, Products and Solutions

Director (Regulation and Prequalification of Medicines and Health Products)

Program Lead, gTech Users and Products

Software Development Engineer, Products and Solutions

Software Development Engineer, Products and Solutions

Automation and Equipment Engineering Intern

EVS Equipment and Supply Tech

Design Engineer (Aerospace and Defense Products)

Applied Scientist, Sponsored Products and Brands

Sr. Software Development Engineer, Products and Solutions

Sr Specialist, Special Tools and Workshop Equipment

Applied Scientist, Sponsored Products and Brands

Technical Program Manager, Global Fleet and Products Electrification and Infrastructure

Applied Scientist, Sponsored Products and Brands

Applied Science Manager, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Principal Applied Scientist, Sponsored Products and Brands

Applied Scientist II, Sponsored Products and Brands-Agent

Senior Applied Scientist, Sponsored Products and Brands

Transactions Analyst, Global Fleet and Products Electrification

Software Development Engineer, Sponsored Products and Brands

Applied Scientist III, Sponsored Products and Brands

Head of Brand, Products, Solutions and Data, YouTube

Support & Cleaning

Support & Cleaning

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

Applied Science Manager, Sponsored Products and Brands

Data Engineer, Speed Products, Science and Analytics

Software Development Engineer, Sponsored Products and Brands

Principal Applied Scientist, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

CAD customization using. NET (C#), VB

Software Development Engineer II, Sponsored Products and Brands

Senior Applied Scientist, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Software Development Manager, Sponsored Products and Brands

Software Development Engineer, Sponsored Products and Brands

Support & Cleaning

Sr. Financial Analyst, Sponsored Products and Brands Finance

Support & Cleaning

Senior Software Development Engineer, Sponsored Products and Brands

Senior Product Manager - Tech, Sponsored Products and Brands

Business Analyst II, Relay Supply Products and Technology

Sr. Technical Program Manager, Sponsored Products and Brands

Support & Cleaning

Support & Cleaning

Software Development Engineer II, Sponsored Products and Brands

Related Searches

All Using Specialised Cleaning Equipment And Products Safely And Effectively Jobs by City

More Remote Jobs

Common Questions