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Audit live episodes", "createdAt" : "2026-06-16T00:30:19.544", "lastUpdated" : "2026-06-16T11:22:34.861", "ingestTimestamp" : "2026-06-16T00:30:19.544", "mongoId" : "6a305efdf292fd229cf76de4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 35, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 743.5047, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2176c474d8ee00a0c1ad16", "title" : "Investigation Associate", "company" : "ADCI", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate in Bengaluru, India, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T21:38:22.359", "fingerprint" : "8e3640337ed3200caf4f3dd5da886bbf218b92279fcc45fc4dd916942a0931d2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439266/apply", "externalId" : "4e28a918-1106-4c66-a3a3-b409094e66b3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Transaction investigation", "Risk management", "Process adherence" ], "hardSkillsList" : [ "Transaction authentication", "Complex transaction analysis" ], "hardSkills" : [ { "name" : "Transaction authentication", "level" : "intermediate" }, { "name" : "Complex transaction analysis", "level" : "intermediate" } ], "majorSkills" : "Transaction risk management, Investigation, Problem solving", "majorSkillsList" : [ "Transaction risk management", "Investigation", "Problem solving" ], "coreResponsibilities" : "Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Communicate with department management; Communicate with risk analysts; Communicate with risk engineers; Communicate with other company associates; Communicate with third-parties; Communicate with internal customers and peers", "domainKnowledge" : "Ecommerce risk; Online ecommerce risk", "domainList" : [ "ecommerce-risk", "online-ecommerce-risk" ], "domainSpecificKnowledge" : [ "Ecommerce risk", "Online ecommerce risk" ], "communicationSkills" : "Written response; Verbal communication; Customer communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Problem solving; Analytical skills; Independent decision making", "outcomesObjectives" : "Elimination of online ecommerce risk; Achieve productivity targets; Achieve quality standards", "qualificationsBasic" : "Excellent written and spoken English skills, Ability to compose a grammatically correct, concise and accurate written response, Excellent interpersonal skills, Ability to communicate complex transactional issues correctly and clearly, Demonstrated ability to work independently, Make complex investigation decisions with little to no guidance, Excellent problem solving skills, Demonstrated ability to analyze problems, Self disciplined, diligent, proactive & detail oriented, Time management and organizational skills, Effectively prioritizes work time, Excellent ability to determine situational needs and provide appropriate solutions", "qualificationsPreferred" : "Experience in the ecommerce payments space, Previous trust and safety experience, Experience succeeding in a customer-driven workplace, Analytical and capable of succeeding in a fast-paced team environment, Proven ability to work productively and efficiently in an independent setting, Proven ability to clearly communicate with managers and associates at all levels, Global perspective and solid understanding of business objectives, Excellent attention to detail and work with the highest level of accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates and third-parties to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards A day in the life • Demonstrated problem solving and analytical skills • Proven ability to work productively and efficiently in an independent setting • Proven ability to clearly communicate with managers and associates at all levels • Global perspective and solid understanding of business objectives • Excellent attention to detail and work with the highest level of accuracy Basic Qualifications: - Communication Skills • Excellent written and spoken English skills and an ability to compose a grammatically correct, concise and accurate written response • Excellent interpersonal skills, with the ability to communicate complex transactional issues correctly and clearly to both internal and external customers Problem Solving Skills • Demonstrated ability to work independently and make complex investigation decisions with little to no guidance • Excellent problem solving skills • Demonstrated ability to analyze problems • Self disciplined, diligent, proactive & detail oriented • Time management and organizational skills • Effectively prioritizes work time to ensure productivity and fulfills department standards • Excellent ability to determine situational needs and provide appropriate solutions Preferred Qualifications: - Demonstrated problem solving and analytical skills • Proven ability to work productively and efficiently in an independent setting • Proven ability to clearly communicate with managers and associates at all levels • Global perspective and solid understanding of business objectives • Excellent attention to detail and work with the highest level of accuracy Our inclusive culture empowers Amazonians to deliver the best results for our customers. - 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 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" : "Investigation Associate at ADCI. Skills: Transaction risk management, Investigation, Problem solving. Research and evaluate facts surrounding seller transactions. Take appropriate action on investigated transactions", "postedDate" : "2026-06-14T20:19:46.445", "createdAt" : "2026-06-14T20:19:46.445", "lastUpdated" : "2026-06-15T21:38:22.359", "ingestTimestamp" : "2026-06-14T20:19:46.445", "mongoId" : "6a2176c474d8ee00a0c1ad16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439266/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Transaction authentication", "Complex transaction analysis", "Transaction risk management", "Investigation", "Problem solving", "Transaction investigation", "Risk management", "Process adherence", "Ecommerce risk", "Online ecommerce risk" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 702.11597, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f072beec4dd3d934199", "title" : "Investigation Representative", "company" : "ASSPL", "industry" : "Supply Chain/Transportation Management, Cust. Experience Qualit Ops, transportation and logistics", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Investigation Representative in Telangana, India, adjusted for junior seniority and company size." }, "location" : "Telangana, IND", "locations" : [ "Telangana, IND" ], "timestamp" : "2026-06-15T01:58:43.291", "fingerprint" : "bbb574d456c3662e4d5b2fbf7aed51326bfc548afa5c157a28236bb73e8fdff3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381969/apply", "externalId" : "a39ebde9-5090-4e4c-a51f-2e6344848bdf", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Telangana", "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "technicalSkills" : "SQL", "professionalSkills" : [ "Data analysis", "Process improvements", "Automation" ], "hardSkillsList" : [ "Analytical skills", "Attention to detail" ], "hardSkills" : [ { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Attention to detail", "level" : "intermediate" } ], "majorSkills" : "Investigation, Data analysis", "majorSkillsList" : [ "Investigation", "Data analysis" ], "coreResponsibilities" : "Manage daily operational activities, Provide accurate resolution to sellers and fulfillment centres, Support Sellers, Associates, and Management, Ensure program standards for individual and team performance, Facilitate flow of information between different stakeholders, Resolve issues created by sellers accurately in a, Provide timely resolution to the issue, Research issues, Query internal tools, Make real-time decisions, Analyze data, Notice trends, Drive seller experience without compromising on time, Understand inbounding, Communicate clearly in english in the written and, Conduct assigned investigations in a timely manner, Use data analysis and other tools, Facilitate flow of information, Report progress, Identify blockers, Provide resolutions, Summarize findings, Propose solutions, Identify gaps, Identify risks in current mechanisms, Plan freight delivery, Perform rescue operations, Contingency management", "teamCollaboration" : "Cross-functional coordination; Vendor management; Stakeholder management", "domainKnowledge" : "Inbounding", "domainList" : [ "inbounding" ], "domainSpecificKnowledge" : [ "Inbounding" ], "toolProficiency" : [ "Windows", "Microsoft Outlook", "Microsoft Word" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Deep dive analysis", "qualificationsBasic" : "1 year of work experience, Excellent communication skills (written and verbal) in English language, Ability to communicate correctly and understand the issues, Ability to concentrate and follow up on issues without distraction to resolution, Work successfully in a team environment as well as independently, Familiarity with Windows, Microsoft Outlook, Microsoft Word, internet browser, Excellent typing skills, Demonstrates an ability to successfully navigate websites, Deep diving skills", "qualificationsPreferred" : "Experience with advanced use of SQL for data mining, Experience in creating process improvements with automation and analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ROW IB team is seeking a highly motivated Investigation Specialist to help manage daily operational activities centrally across INFCs. Our teams' objective is to provide the accurate resolution to all the sellers and fulfillment centres. This is a chance to work in an innovative team, participating in operational excellence, system support, process and design that span the entire company. Come help build a world class services with Amazon.in's customer centric focus applied to the Seller experience. The Investigation Specialist will support Sellers, Associates, and Management while ensuring program standards for individual and team performance are met. An Investigation Representative at ROW IB is responsible for flow of information between different stakeholders and resolves the issues created by sellers accurately in a timely manner. Key job responsibilities An Investigation Representative provides timely resolution to the issue in hand by researching, querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive seller experience without compromising on time. The candidate should have the basic understanding of inbounding and should be able to communicate clearly in english in the written and verbal form. A day in the life An Investigation Representative is responsible for conducting assigned investigations in a timely manner within an ambiguous environment using data analysis and other tools. This requires high level of ownership throughout investigation life cycle by facilitating flow of information, reporting progress and identifying blockers & providing resolutions. An Investigation Representative will insist on high standards by effective deep dive to summarize findings and proposing solutions by identifying gaps and risks in current mechanisms. About the team Rest of World Inbound (ROW IB) team is a vertical of ROW APEX, India Operations. Our team objective is to provide the hassle free and smooth inbounding experience to all sellers and vendors across amazon fulfillment centres. The team is responsible to plan the freight delivery across fulfillment centres and perform rescue operations, and contingency management. Basic Qualifications: - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - - Graduation from a recognized university with 1 year of work experience. - - Excellent communication skills (written and verbal) in English language. - - Ability to communicate correctly and understand the issues. - - Ability to concentrate and follow up on issues without distraction to resolution. - - Work successfully in a team environment as well as independently. - - Familiarity with Windows, Microsoft Outlook, Microsoft Word, internet browser and Excellent typing skills. - - Demonstrates an ability to successfully navigate websites. - - Deep diving skills Preferred Qualifications: - Experience with advanced use of SQL for data mining , or experience in creating process improvements with automation and analysis. 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" : "Investigation Representative at ASSPL. Skills: Investigation, Data analysis. Manage daily operational activities. Provide accurate resolution to sellers and fulfillment centres", "postedDate" : "2026-06-13T03:45:35.419", "createdAt" : "2026-06-13T03:45:35.419", "lastUpdated" : "2026-06-15T01:58:43.291", "ingestTimestamp" : "2026-06-13T03:45:35.419", "mongoId" : "69cf3f072beec4dd3d934199", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381969/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Analytical skills", "Attention to detail", "Investigation", "Data analysis", "Process improvements", "Automation", "Inbounding", "Windows", "Microsoft Outlook", "Microsoft Word" ], "skillCount" : 10, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 696.21576, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c6b9c74d8ee00a091380d", "title" : "Data Collection Engineer", "company" : "SQUAD", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Collection Engineer in Kyiv, Ukraine, adjusted for the Technology industry and contract employment type." }, "location" : "Kyiv", "locations" : [ "Kyiv" ], "timestamp" : "2026-06-15T10:14:34.652", "fingerprint" : "1bba85c6719e98cca246d68a8451251c7f8d5847277d7446f62ac9bf00314761", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://squad.tech/careers/?gh_jid=7496137", "externalId" : "7496137", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "CONTRACT", "technicalSkills" : "Firmware flashing, Network setup, Sensor calibration, Wi-Fi configuration", "professionalSkills" : [ "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions" ], "hardSkillsList" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation" ], "hardSkills" : [ { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Data collection sessions", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Collection, Smart Home Devices, Field Operations", "majorSkillsList" : [ "Data Collection", "Smart Home Devices", "Field Operations" ], "coreResponsibilities" : "Set up and configure devices, Execute and monitor data collection, Ensure data quality and compliance, Prepare field locations, Optimize device placement, Coordinate third-party providers, Perform HW/FW/network troubleshooting, Mitigate operational risks, Document results and issues, Drive improvements in efficiency", "teamCollaboration" : "Cross-functional teams; Project Coordinators", "domainKnowledge" : "Smart home devices; Home automation; Security devices; Video technologies; Local networks", "domainList" : [ "smart-home-devices", "home-automation", "security-devices", "video-technologies", "local-networks" ], "domainSpecificKnowledge" : [ "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks" ], "toolProficiency" : [ "Confluence" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Document results", "continuousLearning" : "Corporate courses; Knowledge hubs; English classes; Educational leaves", "problemSolvingSkills" : "Problem-solver; Troubleshooting", "specialRequirements" : "Work evening hours", "qualificationsBasic" : "Experience with Smart Home devices, Solid understanding of network setup, Hands-on experience with technical equipment, Confident use of Google Workspace, Teamwork and cross-functional collaboration, High adaptability to changing environments, Clear and effective communication, Excellent time management, Self-organization and multitasking, Good written and spoken English", "qualificationsPreferred" : "Quality Assurance experience, Working knowledge of UNIX/Linux, Command-line basics", "workSiteFlexibility" : "Onsite", "rawDescription" : "Team Summary We are a Data Collection team focused on improving smart home devices and features through high-quality data. The data we collect supports machine learning training, evaluation, testing, and performance benchmarking, helping teams develop new capabilities and improve detection quality for customers. We recreate real-world scenarios and edge cases in various indoor and outdoor environments using both production and pre-release devices. We also perform comparative analysis of device motion detection performance across different generations, generating insights that help determine device readiness for mass production. Job Summary We are looking for a Data Collection Engineer to join our team. In this role, you will deep-dive into the specifics of smart home device functionality and collaborate with cross-functional teams to influence device/feature performance/detection quality improvement. This role offers an opportunity to work at the intersection of two fields: Technical Quality Assurance and field production (similar to debugging and shooting on a cinema set). The ideal candidate is a proactive problem-solver, creative in finding technical solutions, and resilient to changing external factors. Responsibilities and Duties Set up and configure data collection devices on-site, including firmware flashing, network setup, and sensor calibration Execute and monitor multi-device data collection sessions at remote locations according to defined scenarios, ensuring data quality and compliance in real time Independently prepare field locations, including device placement and field-of-view optimization based on environmental conditions Coordinate third-party providers (vehicles, locations, actors, pets) to ensure correct execution of scenarios Perform HW/FW/network troubleshooting during collection with remote technical support when needed Mitigate on-site operational risks and align with Project Coordinators on resource constraints Document results, issues, and field observations, and drive improvements in data collection efficiency and automation Qualifications and Skills Experience working with Smart Home, home automation, security devices, or video technologies Solid understanding of network setup, Wi-Fi configuration, and basic troubleshooting (routers, access points, local networks) Hands-on experience with technical equipment, tools, hardware installations, or field operations Confident use of Google Workspace and Confluence Strong teamwork, cross-functional collaboration, and high adaptability to changing environments Clear and effective communication Excellent time management, self-organization, and multitasking skills Good written and spoken English. Nice to have Quality Assurance experience (hardware or software testing) Working knowledge of UNIX/Linux environments and command-line basics Flexibility to work evening hours if requested by project specifics. We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member. Competitive compensation and perks. Annual performance review. Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company. Gig-contract. 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation. Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves. Medical insurance is provided from day one. Sick leaves and medical leaves are available. Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Data Collection Engineer at SQUAD. Skills: Data Collection, Smart Home Devices, Field Operations. Set up and configure devices. Execute and monitor data collection", "postedDate" : "2026-06-14T08:39:16.252", "createdAt" : "2026-06-14T08:39:16.252", "lastUpdated" : "2026-06-15T10:14:34.652", "ingestTimestamp" : "2026-06-14T08:39:16.252", "mongoId" : "6a2c6b9c74d8ee00a091380d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Device configuration", "Data collection sessions", "Troubleshooting", "Automation", "Data Collection", "Smart Home Devices", "Field Operations", "Technical Quality Assurance", "Field production", "Problem-solving", "Technical solutions", "Smart home devices", "Home automation", "Security devices", "Video technologies", "Local networks", "Confluence" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 694.5876, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d4a", "title" : "Data Center Logistics Site Lead", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Non-Tech, Data Center Materials, Cloud Computing", "salary" : { "min" : 29.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Frederick, Maryland, USA", "locations" : [ "Frederick, Maryland, USA" ], "certifications" : [ "Lean Six Sigma certification" ], "timestamp" : "2026-06-16T05:20:57.279", "fingerprint" : "1c9d21b1f7dbcf2a82d0a828bc139995aafc73be6af77aed8c2f4c797e974174", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449297/apply", "externalId" : "421e41b7-0997-4597-874c-4d645abeb90e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frederick", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.4157790,-77.4127562" } ], "locationText" : "Frederick, Maryland, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "WMS software", "professionalSkills" : [ "Inventory management", "Data analysis", "Reporting", "Process improvement" ], "hardSkillsList" : [ "Logistics operations", "Supply chain management", "Team leadership", "Inventory control", "Data reporting" ], "hardSkills" : [ { "name" : "Logistics operations", "level" : "intermediate" }, { "name" : "Supply chain management", "level" : "intermediate" }, { "name" : "Team leadership", "level" : "intermediate" }, { "name" : "Inventory control", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" } ], "majorSkills" : "Logistics operations, Team leadership, Inventory management", "majorSkillsList" : [ "Logistics operations", "Team leadership", "Inventory management" ], "coreResponsibilities" : "Oversee daily logistics operations, Manage and mentor a team of logistics associates, Ensure accurate inventory management, Implement and maintain inventory management systems, Analyze logistics data, Generate regular reports on logistics performance, Identify and implement process improvements, Collaborate with cross-functional teams, Ensure compliance with safety regulations", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Logistics operations; Supply chain management; Inventory management", "domainList" : [ "logistics-operations", "supply-chain-management", "inventory-management" ], "domainSpecificKnowledge" : [ "Logistics operations", "Supply chain management", "Inventory management" ], "toolProficiency" : [ "Inventory management systems" ], "problemSolvingSkills" : "Process improvement", "qualificationsBasic" : "5+ years of experience in logistics or supply chain, Experience managing a team, Experience with inventory management systems, Experience with data analysis and reporting", "qualificationsPreferred" : "Bachelor's degree in Supply Chain Management, Logistics, or related field, Experience with WMS software, Lean Six Sigma certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Be a part of operating the world’s largest cloud computing infrastructure. Amazon Web Services is seeking bright, motivated, hardworking individuals to fill Data center Logistics Specialist positions. The ideal candidate possesses a strong work ethic, attention to detail, the ability to meet deadlines, and a commitment to Safety & Operational Excellence. Logistics Specialists monitor inventory levels to ensure that proper stock levels are maintained to support build and repair activities. They receive parts, maintain inventory, and check-out parts as needed to Data center Technicians and Engineers. They will also be responsible for loading and unloading shipments and transporting parts between different locations. This position involves frequent lifting of materials and products. Logistics Specialists will be required to keep precise records of all commodities going in and out of company. They must also maintain the cleanliness, organization, and safety of all work spaces. They must be available to work weekend shift work. The ideal candidate will have experience working in a warehouse or distribution environment, as well as experience and knowledge of reverse logistics processes. Experience handling vendor relationships is helpful. NOTE: Amazon is not able to provide sponsorship now or in the future for these positions. Eligible candidates must have work authorization without employer intervention to be considered. Key job responsibilities • Ensure that all billing associated with the Inventory supply chain is accurate, validated and ready for processing • Assembling, addressing, stamping and arranging for the shipment of merchandise and materials • Assist in daily scheduling of deliveries and pick-ups to and from production locations • Keep precise records of all commodities going in and out of company • Understand all aspects of production, adhere to strict safety standards, maintain very high quality, and be willing and able to work on powered equipment (i.e forklift or cherry picker). A day in the life As the Logistics Site Lead, you will lead your team to maintain successful daily operations within your cluster. You will review incoming deliveries, track weekly priorities, and ensure all SLAs are met. You will contribute to your team’s development through assisting in projects, providing development feedback on a 1:1, and drive projects and process improvements on your own. You will organize coverage needs with your cluster and assist the manager with organizing strategies to complete ongoing high-priority tasks. About the team The Logistics team is responsible for providing end-to-end inventory management services for server and network equipment used within the Data Center including: receiving, RMA, media handling, parts transfers, maintaining inventory stock profiles, customer service, mitigating upstream/downstream barriers, establishing/enhancing processes, and general safety and security of the buildings and teams within. IAD is comprised of 100+ Data Centers across eight clusters - Ashburn, Dulles, Herndon, Sterling, Chantilly, Stone Ridge, Manassas and Bull Run which are serviced by the Centralized Warehouse Operations (Reverse Logistics, Triage, Inbound, Outbound, and Transportation), Data Center Logistics (Remote Site), and Special Operations (ICQA, Project Management, and Analytics). Basic Qualifications: - High School diploma or equivalent - 1+ years of logistics operations experience - 2+ years of shipping & receiving, inventory and warehousing practices experience Preferred Qualifications: - Experience managing inventory in warehousing, retail or distribution setting - Experience in transportation operations and industry knowledge - Experience managing work and priorities through a ticketing system - Knowledge of computer hardware components and operating systems - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) 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, MD, Frederick - 29.00 - 50.00 USD hourly", "summaryDescription" : "Data Center Logistics Site Lead at Amazon Data Services, Inc.. Skills: Logistics operations, Team leadership, Inventory management. Oversee daily logistics operations. Manage and mentor a team of logistics associates", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:49.230", "lastUpdated" : "2026-06-16T05:20:57.279", "ingestTimestamp" : "2026-06-15T21:58:49.230", "mongoId" : "6a305649f292fd229cf26d4a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449297/apply", "salaryAnnualMin" : 60320, "salaryAnnualMax" : 104000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Logistics operations", "Supply chain management", "Team leadership", "Inventory control", "Data reporting", "Inventory management", "Data analysis", "Reporting", "Process improvement", "Lean Six Sigma certification", "Inventory management systems" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 670.9646, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a839bc74574cbbb4c80", "title" : "Data Center Logistics Site Lead", "company" : "Amazon Data Services, Inc.", "industry" : "Supply Chain/Transportation Management, Data Center Materials, Cloud Computing", "salary" : { "min" : 29.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Manassas, Virginia, USA", "locations" : [ "Manassas, Virginia, USA" ], "timestamp" : "2026-06-15T04:28:38.677", "fingerprint" : "ed801fc2872c6eca1c01d26b3e5568b1a34e636e1cf51df664887153e372135b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3193464/apply", "externalId" : "4d170cf6-352e-41dc-b535-ba659b0b476b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Material forecasting", "Inventory management", "Process improvement" ], "hardSkillsList" : [ "Logistics operations", "Inventory control", "Demand planning" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Logistics operations", "level" : "intermediate" }, { "name" : "Inventory control", "level" : "intermediate" }, { "name" : "Demand planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Logistics, Inventory management, Process optimization", "majorSkillsList" : [ "Logistics", "Inventory management", "Process optimization" ], "coreResponsibilities" : "Investigate metrics, Review backlogs, Develop strategy to eliminate backlogs, Delegate tasks to eliminate backlogs, Determine timelines, Ensure timelines are met, Communicate progress and barriers to leadership, Coordinate operational coverage, Support operational coverage as needed, Ensure sites meet customer needs, Filter information from management to site logistics, Filter information from site logistics to management, Support projects outside day-to-day operations, Submit necessary PRs/POs for site launches, Design staffing models, Support team development, Review data center inventory, Review inbound shipments, Review ongoing demand, Maintain proper stock levels, Optimize flow of parts, Track inventory location, Track inventory movement, Track inventory age, Track inventory turns, Fulfill parts quickly, Fulfill parts accurately, Purchase new parts, Process RMAs, Receive replacement parts, Resolve vendor issues, Communicate business requirements to vendors, Provide end-to-end service to customers, Oversee day to day functions of team, Set up weekly team syncs, Run weekly team syncs, Oversee team metrics, Deep dive with team members on concerns, Perform monthly 1:1s with team members, Discuss day to day site functions, Discuss blockers with team members, Support site functions during coverage needs, Plan room builds for new site builds, Attend customer leadership syncs, Receive feedback from customer teams, Provide customer service, Provide customer communication, Maintain successful daily operations, Review incoming deliveries, Track weekly priorities, Ensure SLAs are met, Contribute to team development, Assist in projects, Provide development feedback, Drive projects, Drive process improvements, Organize coverage needs, Assist manager with organizing strategies, Complete high-priority tasks, Manage inventory, Manage receiving, Manage RMAs, Manage media handling, Manage parts transfers, Maintain inventory stock profiles, Mitigate upstream barriers, Mitigate downstream barriers, Establish processes, Enhance processes, Ensure safety, Ensure security", "teamCollaboration" : "Cross-functional teams; Customer leadership syncs; Management to site logistics; Site logistics to management", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data center logistics; Cloud computing infrastructure", "domainList" : [ "data-center-logistics", "cloud-computing-infrastructure" ], "domainSpecificKnowledge" : [ "Data center logistics", "Cloud computing infrastructure" ], "communicationSkills" : "High-level communicator", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Meet customer needs/expectations; Ensure SLAs are met; Maintain 0% margin for error", "qualificationsBasic" : "1+ years of logistics experience, 1+ years of material forecasting experience", "qualificationsPreferred" : "Logistics experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Be a part of operating the world’s largest cloud computing infrastructure. Amazon Web Services is seeking bright, motivated, hardworking individuals to fill our Data Center Logistics Site Lead position. The ideal candidate possesses a strong work ethic, attention to detail, is people-oriented, a leadership mentality, has the ability to meet deadlines, and a commitment to Safety & Operational Excellence. Our Logistics Site Leads drive Safety and Security culture by remaining compliant with all policies and following best practices. • Investigating metrics and reviewing backlogs • Develop a strategy and delegate tasks to eliminate backlogs • Determine timelines and ensure they are met • Communicate progress/barriers to leadership (managers and direct peers) • Coordinate operational coverage, or work in direct path to support coverage as needed • Ensure each site is meeting the needs/expectations of our customers/business • Filter information from management to site logistics and vice versa • A supporter of projects outside of day-to-day operations • The lead will submit all necessary PR’s/PO’s to support new site launches within approved standards • Work with management to design staffing models on a quarterly basis • Support the development of your team 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. 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. 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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. Key job responsibilities Data Center Logistics Site Leads review Data Center inventory, inbound shipments, and ongoing demand to ensure that proper stock levels are maintained in the all locations to support build and repair activities. Working with the Logistics Manager, they create plans to optimize the flow of parts through their lifecycle; tracking inventory location, movement, age, and turns. They work closely with Data Center Operations Technicians and Data Center Engineers to fulfill parts quickly and accurately. They work with Procurement and Hardware Engineering to purchase new parts and interface directly with vendors to process RMAs and receive replacements. Regular and ongoing communications with vendors to resolve issues and help them understand our business requirements necessitates a high-level communicator. The Logistics Site Lead role is responsible for providing end-to-end service to customers and fulfill their job duties with a 0% margin for error while overseeing day to day functions of their team (10+ employees). Logistics Site Leads perform variety of day to day leadership tasks, including setting up and running weekly team syncs within the team, overseeing team metrics and deep diving with team members any concern areas, performing monthly 1:1s with team members to discuss their day to day site functions and any blockers, supporting site functions during coverage needs, planning room builds (all Logistics owned areas – Logistics Parts room, Loading Dock, LOG room, Red Zone, BCT area) for new site builds, attending customer leadership syncs to provide support and receive feedback from customer teams, and providing consistent customer service and communication on an as-needed basis. A day in the life As the Logistics Site Lead, you will lead your team to maintain successful daily operations within your cluster. You will review incoming deliveries, track weekly priorities, and ensure all SLAs are met. You will contribute to your team’s development through assisting in projects, providing development feedback on a 1:1, and drive projects and process improvements on your own. You will organize coverage needs with your cluster and assist the manager with organizing strategies to complete ongoing high-priority tasks. About the team The Logistics team is responsible for providing end-to-end inventory management services for server and network equipment used within the Data Center including: receiving, RMA, media handling, parts transfers, maintaining inventory stock profiles, customer service, mitigating upstream/downstream barriers, establishing/enhancing processes, and general safety and security of the buildings and teams within. IAD is comprised of 100+ Data Centers across eight clusters - Ashburn, Dulles, Herndon, Sterling, Chantilly, Stone Ridge, Manassas and Bull Run which are serviced by the Centralized Warehouse Operations (Reverse Logistics, Triage, Inbound, Outbound, and Transportation), Data Center Logistics (Remote Site), and Special Operations (ICQA, Project Management, and Analytics). AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Basic Qualifications: - 1+ years of logistics experience - 1+ years of material forecasting experience Preferred Qualifications: - Experience in logistics 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, VA, Manassas - 29.00 - 50.00 USD hourly", "summaryDescription" : "Data Center Logistics Site Lead at Amazon Data Services, Inc.. Skills: Logistics, Inventory management, Process optimization. Investigate metrics. Review backlogs", "postedDate" : "2026-06-13T10:15:38.375", "createdAt" : "2026-06-13T10:15:38.375", "lastUpdated" : "2026-06-15T04:28:38.677", "ingestTimestamp" : "2026-06-13T10:15:38.375", "mongoId" : "69c94a839bc74574cbbb4c80", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193464/apply", "salaryAnnualMin" : 60320, "salaryAnnualMax" : 104000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Logistics operations", "Inventory control", "Demand planning", "Leadership", "Logistics", "Inventory management", "Process optimization", "Material forecasting", "Process improvement", "Project management", "Data center logistics", "Cloud computing infrastructure" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 667.5946, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308778f292fd229c0893ea", "title" : "Site Reliability Engineering Manager (Data Infra)", "company" : "ComplyAdvantage", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Lisbon, Portugal, adjusted for the FinTech industry and company size." }, "location" : "Lisbon, Portugal", "locations" : [ "Lisbon", "Portugal" ], "timestamp" : "2026-06-16T10:34:49.144", "fingerprint" : "bb75d675fecf5a0633722f9f8992e0ac0e7606d30e9d3a0d0c2a1f175c597128", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://complyadvantage.com/careers/jobs/8592099002?gh_jid=8592099002", "externalId" : "8592099002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisbon", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisbon, Portugal", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Postgres, Kafka, Strimzi, Elasticsearch, ECK, Redis, Spark, GCP, AWS, Kubernetes, Terraform, Helm, GitOps, ArgoCD, Istio, Grafana Cloud, Mimir, Open Telemetry", "professionalSkills" : [ "System design", "Technical decision-making", "Stakeholder management" ], "hardSkillsList" : [ "Incident management", "Automation", "Observability", "System performance", "Platform reliability", "Scalability", "Infrastructure provisioning", "Service support", "Data warehousing", "Cloud infrastructure", "Application performance" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching" ], "hardSkills" : [ { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "Platform reliability", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Service support", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Application performance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" } ], "majorSkills" : "Site Reliability Engineering, Data Infrastructure, Cloud Native, Kubernetes", "majorSkillsList" : [ "Site Reliability Engineering", "Data Infrastructure", "Cloud Native", "Kubernetes" ], "coreResponsibilities" : "Lead and empower SRE team, Ensure platforms are resilient, Ensure platforms are scalable, Ensure platforms are secure, Shape reliability strategy, Improve system performance, Embed observability best practices, Embed incident management best practices, Embed automation best practices, Support delivery of solutions, Manage team growth and development, Hire new team members, Onboard new team members, Create positive team environment, Mentor team members, Coach team members, Set direction for team, Take accountability for tech decisions, Input into technical decision-making, Ensure systems meet customer needs, Ensure services meet customer needs, Ensure team implementation meets standards, Provision stateful technologies, Support stateful technologies, Provision data layer technologies, Support data layer technologies, Manage development environments, Manage production environments", "teamCollaboration" : "Partner with Engineering; Partner with Product; Partner with Security; Work with stakeholders; Collaborate across tribe; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Financial crime; Cloud native architectures; Kubernetes-focused stack; Multi-cloud design; GitOps paradigms; Stateful technologies; Data layer technologies; Microservices architectures", "domainList" : [ "financial-crime", "cloud-native-architectures", "kubernetes-focused-stack", "multi-cloud-design", "gitops-paradigms", "stateful-technologies", "data-layer-technologies", "microservices-architectures" ], "domainSpecificKnowledge" : [ "Financial crime", "Cloud native architectures", "Kubernetes-focused stack", "Multi-cloud design", "GitOps paradigms", "Stateful technologies", "Data layer technologies", "Microservices architectures" ], "toolProficiency" : [ "Terraform", "Helm", "GitOps", "ArgoCD", "Istio", "Grafana Cloud", "Mimir" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical writing", "continuousLearning" : "Learning mindset; Annual learning budget", "innovationCreativity" : "Deliver innovations", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Experience managing engineering teams, Experience with Kubernetes, Experience with Terraform, Experience hosting microservices, Experience with cloud native architectures, Good communication skills, Good writing skills", "qualificationsPreferred" : "Startup/scale-up experience, Experience managing observability platforms, Experience managing pipeline tools, AWS experience preferred, GCP experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a driven and experienced Site Reliability Engineering Manager to join our innovative Tech Team. You will lead and empower a team of SREs, partnering closely with Engineering, Product, and Security to ensure our platforms are resilient, scalable, and secure. You will play a key role in shaping reliability strategy, improving system performance, and embedding best practices in observability, incident management, and automation to support the delivery of high-impact solutions in the fight against financial crime. As a Site Reliability Engineering (SRE) Manager, you will: Take ownership of your team, being responsible for current team members’ growth and development, plus hiring and onboarding new team members Create a positive environment where your team members thrive to deliver the best outcomes and innovations Be a role model for your team, mentoring and coaching them, whilst having a learning mindset yourself, being open to new ideas and technologies Within the context of our broader technology vision, set the direction for your team and take accountability for tech decisions Use your specific experience working with cloud systems to input into technical decision-making Work with other stakeholders across engineering to ensure the systems and services your team provides meet the needs of your internal customers Collaborate, both within your team and across the tribe to ensure your team’s implementation meets industry standards The role reports to the Director of Infrastructure. You’ll be managing a team of Engineers focused on the provision and support of our Stateful / Data layer technologies powering all of our services, both in development and production. The main technologies we use are YugaByte (sharded Postgres), Kafka (via Strimzi), Elasticsearch (via ECK), Redis and Spark/data warehousing on GCP and AWS using their PaaS systems. As the technology stack underpins all other engineering work, a collaborative mindset is a must. Our tech stack: ComplyAdvantage is fully cloud-based, with a modern kubernetes-focused tech stack. All compute workloads run in Kubernetes, with clusters in multiple regions to support the needs of our global client base. Our production services are multi-cloud by design and are currently hosted in AWS and GCP. We make heavy use of Terraform and Helm to define our infrastructure and services, and lean heavily on GitOps paradigms - production and non-production environments are defined in git and changes to these environments (both cloud infrastructure and Kubernetes applications) are managed via git. ArgoCD is our tool of choice for controlling our deployments, and paired with our Istio mesh, allows us for advanced deployment patterns used by our development teams such a progressive rollouts. Our observability stack consists of Grafana Cloud, along with some on-prem Mimir, amongst others. We focus on Open Telemetry for application metrics, with SLO and metric driven alerting at all levels, from Cloud infra through to application performance. Across the wider Technology team, teams build and release containerised applications to support the wide array of activities that our teams are engaged in - from developing low latency client-facing APIs, to machine learning models and data processing pipelines. About you: As an Site Reliability Engineering (SRE) Manager, you will Have experience of managing and growing high performing engineering teams Have experience with Kubernetes and Terraform Have experience hosting microservices-based architectures Have experience of working with cloud native architectures (AWS and GCP are preferred) Have good communication and writing skills including experience writing technical documentation Nice to haves: Experience of working in a start-up/ scale-up environment Have experience managing observability platforms, whether self-hosted or third party - eg Grafana stack, Datadog, NewRelic Have experience managing pipeline tools, whether self-hosted or third party - eg CircleCI, ArgoCD, Harness, etc Benefits: Equity participation in our innovative mission to combat financial crime Unlimited Time Off Policy to promote work-life balance and well-being We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships Opportunities for collaboration and career development with smart, like-minded professionals Annual learning budget to support professional growth A home office budget to support working from home Enhanced parental leave and childcare benefits Life insurance and medical coverage through BUPA, including pre-existing conditions Pension contribution through The People's Pension About us: Our mission is to empower every business to eliminate financial crime. By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust. More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff. ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.", "summaryDescription" : "Site Reliability Engineering Manager (Data Infra) at ComplyAdvantage. Skills: Site Reliability Engineering, Data Infrastructure, Cloud Native, Kubernetes. Lead and empower SRE team. Ensure platforms are resilient", "postedDate" : "2026-06-16T01:21:47.322", "createdAt" : "2026-06-16T01:21:47.322", "lastUpdated" : "2026-06-16T10:34:49.144", "ingestTimestamp" : "2026-06-16T01:21:47.322", "mongoId" : "6a308778f292fd229c0893ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Incident management", "Automation", "Observability", "System performance", "Platform reliability", "Scalability", "Infrastructure provisioning", "Service support", "Data warehousing", "Cloud infrastructure", "Application performance", "Leadership", "Mentoring", "Coaching", "Site Reliability Engineering", "Data Infrastructure", "Cloud Native", "Kubernetes", "System design", "Technical decision-making", "Stakeholder management", "Agile", "Scrum", "Financial crime", "Cloud native architectures", "Kubernetes-focused stack", "Multi-cloud design", "GitOps paradigms", "Stateful technologies", "Data layer technologies", "Microservices architectures", "Terraform", "Helm", "GitOps", "ArgoCD", "Istio", "Grafana Cloud", "Mimir" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 665.5088, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30892ef292fd229c092f29", "title" : "FinCrime Investigator - AML Investigations", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 8300.0, "max" : 8300.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : false }, "location" : "São Paulo, BR", "locations" : [ "São Paulo", "BR" ], "certifications" : [ "CAMS", "CFCS", "ICA" ], "timestamp" : "2026-06-16T12:16:26.678", "fingerprint" : "917237bdc5f0bf12c8c2c6f86591a27586fa4995d20c465b7e2e2dababb16b8f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000132280258-fincrime-investigator-aml-investigations", "externalId" : "744000132280258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk appetite", "Financial crime", "AML/CTF regulations", "Transaction monitoring", "KYC information" ], "hardSkillsList" : [ "Data analysis", "Investigation techniques" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Investigation techniques", "level" : "intermediate" } ], "majorSkills" : "AML Investigations, Financial Crime", "majorSkillsList" : [ "AML Investigations", "Financial Crime" ], "coreResponsibilities" : "Conduct investigations of suspicious activity, Analyze financial transactions, Analyze customer behavior, Identify patterns of money laundering, Identify patterns of fraud, Identify patterns of financial crimes, Evaluate alerts from monitoring systems, Assess alerts from detection tools, Gather supporting documentation, Analyze supporting documentation, Review data, Interpret data, Identify potential risks, Support team decisions, Prepare investigation reports, Document findings, Document recommendations, Act as escalation point, Provide guidance, Provide expertise, Mentor team members, Train team members, Collaborate with product teams, Collaborate with engineering teams, Improve fraud detection rules, Improve detection processes, Improve system enhancements, Stay up-to-date on trends, Stay up-to-date on typologies, Stay up-to-date on regulatory changes, Communicate with internal stakeholders, Liaise with financial institutions, Liaise with law enforcement agencies, Participate in ad-hoc projects, Participate in initiatives, Maintain records of investigations, Maintain records of activities, Provide input on process improvements, Provide input on backlog exercises, Complete mandatory trainings, Complete refresher trainings, Complete ad hoc trainings, Communicate with customers, Obtain necessary details from customers, Obtain clarifications from customers, Achieve individual targets, Achieve team targets, Meet deadlines, Optimize processing times, Take full ownership, Take full accountability, Deliver exceptional results, Perform additional tasks, Participate in meetings, Participate in training, Participate in internal events", "teamCollaboration" : "Product teams; Engineering teams; Compliance teams; Legal teams; Customer support teams", "domainKnowledge" : "Financial crime; Money laundering; Fraud; AML/CTF regulations", "domainList" : [ "financial-crime", "money-laundering", "fraud", "aml-ctf-regulations" ], "domainSpecificKnowledge" : [ "Financial crime", "Money laundering", "Fraud", "AML/CTF regulations" ], "toolProficiency" : [ "Transaction monitoring systems" ], "communicationSkills" : "Clear communication; Concise communication; Accurate communication; Professional communication; Customer communication", "documentationSkills" : "Report writing; Documentation", "continuousLearning" : "Mandatory trainings; Refresher trainings; Ad hoc trainings", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve individual targets; Achieve team targets; Meet deadlines reliably; Optimize processing times; Deliver exceptional results", "qualificationsBasic" : "2+ years operations experience, 2+ years compliance experience, 2+ years related field experience, Proven ability to conduct investigations, Proven ability to analyze data, Proven ability to draw conclusions, Exceptional analytical skills, Exceptional problem-solving skills, Excellent documentation skills, Ability to work autonomously, Ability to identify tasks independently, Ability to apply learned procedures, Ability to apply best practices, Ability to take initiative, Ability to resolve issues, Verbal communication skills in English, Written communication skills in English", "qualificationsPreferred" : "Bachelor's degree in Finance, Bachelor's degree in Business Administration, Bachelor's degree in Law, Bachelor's degree in Criminal Justice, Bachelor's degree in related field, Experience in financial services, Experience in compliance, Experience in FinCrime investigations, Relevant certifications, Experience working in global financial institution, Experience working in fintech company, Knowledge of SQL, Knowledge of data analysis tools, Additional languages are a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). As a FinCrime Operations Investigator, you will play a critical role in safeguarding Wise and its customers from financial crime. You will be responsible for investigating and analyzing customer accounts, transactions and activities on our platform to detect and prevent money laundering, fraud, and other illicit activities. You will leverage your expertise to identify suspicious patterns, conduct thorough investigations, and ensure compliance with AML/CTF regulations and internal policies and procedures, all while adhering to Wise’s risk appetite. This role offers a unique opportunity to deepen your expertise in the FinCrime domain, contribute to a rapidly growing global company, and make a tangible impact on protecting our users and the integrity of our platform. Job Responsibilities * Conduct in-depth investigations of potentially suspicious activity, utilizing both internal and external data sources. * Analyze complex financial transactions and customer behavior to identify patterns indicative of money laundering, fraud, or other financial crimes. * Evaluate and assess alerts generated by transaction monitoring systems and other detection tools. * Gather and analyze supporting documentation, including KYC information, transaction records, and other relevant data. * Review and interpret data to identify patterns and potential risks associated with financial crime. Support the team in making informed decisions based on data insights. * Prepare detailed and comprehensive investigation reports, documenting findings and recommendations. * Act as a point of escalation for complex FinCrime cases from other operations teams, providing guidance and expertise. * Mentor and train other team members on FinCrime investigation techniques and best practices. * Collaborate with product and engineering teams to improve fraud detection rules, processes, and system enhancements. * Stay up-to-date on emerging FinCrime trends, typologies, and regulatory changes. * Communicate effectively with internal stakeholders, including compliance, legal, and customer support teams. * Liaise with financial institutions and law enforcement agencies as needed. * Participate in ad-hoc projects and initiatives related to FinCrime prevention and detection. * Maintain accurate and complete records of all investigations and related activities. * Provide input on process improvements and backlog exercises. * Complete all company-assigned mandatory, refresher or ad hoc trainings on time and with diligence. * Customer Communication: Communicate clearly, professionally, and empathetically with customers via approved channels to obtain necessary details or clarifications for reviews, always upholding our high customer experience standards. A key part of this involves avoiding unnecessary customer contacts and preventing delayed case resolutions. All communication must be precisely tailored to ensure clarity and efficiency. * KPIs: Take a proactive approach to consistently achieve individual and team targets (KPIs, SLAs, QA), demonstrating a strong commitment to both quality and speed. This includes meeting deadlines reliably, optimizing processing times, and taking full ownership and accountability for all responsibilities to deliver exceptional results. * Other: Perform additional tasks as assigned by your lead, demonstrating adaptability and a proactive approach. This includes actively participating in meetings, training, and internal events to support broader team and company objectives. ## Qualifications * Strong verbal and written communication skills in English, with the ability to produce clear, concise, accurate, and professional reports, summaries, and customer communications. Additional languages are a plus. * 2+ years of experience in operations, compliance, or a related field, preferably with exposure to financial crime or AML processes. * Proven ability to conduct thorough and objective investigations, analyze complex data, and draw logical conclusions. * Exceptional analytical and problem-solving skills, with a keen attention to detail. * Excellent documentation skills, with the ability to present complex information clearly, concisely, and accurately for both internal and external use, ensuring all decisions are thoroughly supported. * Ability to work independently and make decisions within well-defined procedures. * Strong organizational skills with the ability to multitask, prioritize effectively, and manage time efficiently in challenging situations. * Willingness to work flexible hours, including shifts, weekends, and public holidays as needed. * Proactive attitude with a willingness to learn and develop in the financial crime domain. * Ability to work autonomously within established procedures and practices. Ability to work autonomously, proactively identifying and addressing tasks independently by applying learned procedures and best practices. This role requires taking initiative and effectively resolving issues within established frameworks. Nice to have: * Bachelor’s degree in Finance, Business Administration, Law, Criminal Justice, or a related field. * Experience in financial services, compliance, or a related field, with a focus on FinCrime investigations * Relevant certifications such as CAMS, CFCS, ICA, or equivalent. * Experience working in a global financial institution or fintech company. * Knowledge of SQL or other data analysis tools. ## Additional Information * Location: São Paulo, Brazil (Hybrid) * Compensation: 8300 BRL gross per month * Language Requirement: Please submit your resume in English. Resumes in Portuguese will not be considered. * Work Eligibility: Candidates must already be authorized to work in Brazil. We are unable to provide visa sponsorship or relocation packages for this role. * Remote Status: This is a hybrid role requiring office presence; it is not a fully remote position. * Benefits:[ Click here to see the benefits we offer!](https://www.google.com/search?q=link) Hiring Process: * Application (Resume + Cover Letter) * Test Assignment * Recruiter Screening * Final Interview For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "FinCrime Investigator - AML Investigations at Wise. Skills: AML Investigations, Financial Crime. Conduct investigations of suspicious activity. Analyze financial transactions", "postedDate" : "2026-06-15T20:19:05.000", "createdAt" : "2026-06-16T01:42:41.189", "lastUpdated" : "2026-06-16T12:16:26.678", "ingestTimestamp" : "2026-06-16T01:42:41.189", "mongoId" : "6a30892ef292fd229c092f29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Investigation techniques", "AML Investigations", "Financial Crime", "Risk appetite", "Financial crime", "AML/CTF regulations", "Transaction monitoring", "KYC information", "Money laundering", "Fraud", "CAMS", "CFCS", "ICA", "Transaction monitoring systems" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 659.505, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e54c40e2acd1b99a64", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T05:29:52.309", "fingerprint" : "96231c747d3ad883c5a260ef32d319463d913c5c38d376ce827e24a90888f24a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "externalId" : "6df00c61-823c-44cc-a9a6-74b2121c30c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "MS Office, Scripting languages, Unix/Linux, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis" ], "softSkillsList" : [ "Organized", "Interpersonal skills", "Sense of humor", "Team work skills" ], "hardSkills" : [ { "name" : "Data collection procedure", "level" : "intermediate" }, { "name" : "Data recording", "level" : "intermediate" }, { "name" : "Information documentation", "level" : "intermediate" }, { "name" : "Data collection projects", "level" : "intermediate" }, { "name" : "Collection protocol changes", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Interpersonal skills" }, { "name" : "Sense of humor" }, { "name" : "Team work skills" } ], "majorSkills" : "Data collection, Data auditing, Data markup", "majorSkillsList" : [ "Data collection", "Data auditing", "Data markup" ], "coreResponsibilities" : "Learn collection procedure quickly, Execute collection procedure accurately, Record data, Document needed information, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Confluence", "JIRA", "Wiki" ], "documentationSkills" : "Information documentation", "innovationCreativity" : "Improvements in data collection projects", "problemSolvingSkills" : "Addressing issues and problems", "qualificationsBasic" : "Computer skills, Proficiency in MS Office, Moderating data collection, Conducting data collection, Data auditing, Data markup, Machine learning data processing needs, Experience with prototype assets, Experience in research, Experience with scripting languages, Unix/Linux environment, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing, Consumer electronic device readiness, Hardware testing experience, Software testing experience, Salesforce experience, JIRA experience, Agile/scrum workflow experience, Data collection evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders, Supporting quantitative research, Supporting qualitative research, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data auditing, Data markup. Learn collection procedure quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T12:05:13.166", "createdAt" : "2026-06-13T12:05:13.166", "lastUpdated" : "2026-06-15T05:29:52.309", "ingestTimestamp" : "2026-06-13T12:05:13.166", "mongoId" : "69fda4e54c40e2acd1b99a64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412513/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection procedure", "Data recording", "Information documentation", "Data collection projects", "Collection protocol changes", "Quantitative data analysis", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data collection", "Data auditing", "Data markup", "Machine learning data processing", "MS Office", "Confluence", "JIRA", "Wiki" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 642.0339, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6d0574d8ee00a091cc71", "title" : "Product Data Collection Specialist", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T13:30:59.027", "fingerprint" : "46e8f173cff12c4b62ebe7784b9412826af178044836519525ed78a4c7d78002", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4284817009", "externalId" : "4284817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Scripting", "Troubleshooting", "Debugging" ], "hardSkills" : [ { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" } ], "majorSkills" : "Product testing, Data collection, Field operations", "majorSkillsList" : [ "Product testing", "Data collection", "Field operations" ], "coreResponsibilities" : "Conduct product testing, Collect data, Travel to customer sites, Evaluate system performance, Collect datasets, Validate datasets, Analyze datasets, Test new features, Test mobile applications, Test workflows, Investigate bugs, Investigate edge cases, Investigate unexpected behavior, Provide feedback to engineering, Perform basic scripting, Perform troubleshooting, Perform debugging, Improve testing processes, Document testing processes, Improve data collection processes, Document data collection processes, Assist with map edits, Assist with data quality reviews, Assist with operational support", "teamCollaboration" : "Engineering teams; Product teams; Operations teams", "domainKnowledge" : "Indoor environments; Retail industry; In-store inventory visibility", "domainList" : [ "indoor-environments", "retail-industry", "in-store-inventory-visibility" ], "domainSpecificKnowledge" : [ "Indoor environments", "Retail industry", "In-store inventory visibility" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document processes", "continuousLearning" : "Learning; Execution", "problemSolvingSkills" : "Problem-solving; Investigating problems; Troubleshooting; Debugging", "specialRequirements" : "Regular travel, Occasional regional travel, Travel to retail locations", "outcomesObjectives" : "Improve product accuracy; Improve product reliability; Increase quality; Increase consistency; Increase efficiency; Prioritize issues; Drive improvements", "qualificationsBasic" : "1+ years experience, Associate's or Bachelor's degree, Technical field degree, Equivalent practical experience", "qualificationsPreferred" : "Product testing experience, Field testing experience, QA experience, Beta testing experience, Experience collecting data, Experience validating data, Experience analyzing data, Retail experience, Customer support experience, Customer success experience, Field operations experience, Deployment roles experience, Python familiarity, SQL familiarity, Data analysis tools familiarity, Data pipelines support, Data quality monitoring support, Operational tooling support, Spanish language proficiency, Startup experience, Early-stage company experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for a Product Data Collection Specialist to join Cartesian at a pivotal moment in our growth. This is a hands-on, impact-driven role focused on product testing, field operations, and data collection. You will spend significant time in retail environments evaluating product performance, collecting and validating data, identifying issues, and helping ensure our technology performs reliably in real-world conditions. Success in this role requires curiosity, attention to detail, and a strong sense of ownership. You should enjoy investigating problems, working directly with customers and retail environments, and collaborating closely with engineering, product, and operations teams to improve both our product and our processes. Location: In-person in Kendall Square, Cambridge, with regular travel to retail stores throughout the Boston area and occasional regional travel. Salary: $65,000 - $80,000 annually What You’ll Do Conduct product testing and data collection in retail store environments Travel to customer sites to evaluate system performance under real-world conditions Collect, validate, and analyze datasets used to improve product accuracy and reliability Test new product features, mobile applications, and workflows before deployment Investigate bugs, edge cases, and unexpected behavior, providing detailed feedback to engineering teams Perform basic scripting, troubleshooting, and debugging to support testing activities Improve and document testing and data collection processes to increase quality, consistency, and efficiency Assist with map edits, data quality reviews, and operational support activities Collaborate closely with engineering, product, and operations teams to prioritize issues and drive improvements Become a product expert and help represent customer and field perspectives within the organization Qualifications 1+ years of experience in a technical, operational, support, research, testing, or related role Strong attention to detail and ability to execute rigorous, repeatable testing processes Experience running scripts and working with technical tools Basic Python programming or scripting experience Strong problem-solving skills and ability to work independently in ambiguous environments Excellent written and verbal communication skills Professional, customer-facing demeanor Ability and willingness to travel regularly to retail locations Reliable, accountable, and highly organized Associate's or Bachelor's degree in a technical field or equivalent practical experience Nice to Have Experience with product testing, field testing, QA, or beta testing Experience collecting, validating, or analyzing data Experience in retail, customer support, customer success, field operations, or deployment roles Familiarity with Python, SQL, or data analysis tools Experience supporting data pipelines, data quality monitoring, or operational tooling Spanish language proficiency Startup or early-stage company experience Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution Opportunity to become a product expert and grow into roles across operations, deployment, testing, and product In-person team culture in the heart of Kendall Square, Cambridge If You’re Not Sure You’re a Perfect Fit We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives. Interview Process Introductory conversation focused on motivation, background, and fit Technical exercise involving testing, analysis, and basic coding/problem-solving Follow-up technical discussion focused on reasoning, troubleshooting, and decision-making Final conversation with the hiring manager focused on ownership, communication, and culture fit References and offer", "summaryDescription" : "Product Data Collection Specialist at Cartesian Systems. Skills: Product testing, Data collection, Field operations. Conduct product testing. Collect data", "postedDate" : "2026-06-14T08:43:04.758", "createdAt" : "2026-06-14T08:43:04.758", "lastUpdated" : "2026-06-15T13:30:59.027", "ingestTimestamp" : "2026-06-14T08:43:04.758", "mongoId" : "6a2c6d0574d8ee00a091cc71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scripting", "Troubleshooting", "Debugging", "Product testing", "Data collection", "Field operations", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Indoor environments", "Retail industry", "In-store inventory visibility" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 632.2078, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307fadf292fd229c05c28e", "title" : "Site Manager, Data Center Facility Operations", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager-level Site Manager in the Technology industry in Hamina, Finland, adjusted for seniority and industry." }, "location" : "[Hamina, Finland, [Hamina, Finland], Hamina, null, Kymenlaakso, FI]", "locations" : [ "[Hamina, Finland, [Hamina, Finland], Hamina, null, Kymenlaakso, FI]" ], "timestamp" : "2026-06-16T12:01:09.207", "fingerprint" : "6ffcdd23b4f69ceb60f2f14e2113529c0321dd714e3815bd606f3daa8165ce72", "source" : "google", "language" : "en", "externalId" : "84582401526637254", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamina", "state" : "Kymenlaakso", "country" : "Finland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "60.5683467,27.1925862" } ], "locationText" : "Hamina, Kymenlaakso, Finland", "experienceLevel" : "Manager", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Site Manager, Data Center Facility Operations", "postedDate" : "2026-06-16T01:49:38.046", "createdAt" : "2026-06-16T01:49:38.046", "lastUpdated" : "2026-06-16T12:01:09.207", "ingestTimestamp" : "2026-06-16T01:49:38.046", "mongoId" : "6a307fadf292fd229c05c28e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 629.25604, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ec72e84c40e2acd1d0b66f", "title" : "Investigator", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Investigator in El Paso, Texas, adjusted for government industry and full-time employment." }, "location" : "826948", "locations" : [ "826948", "
El Paso:1359 Lomaland Dr (320-4061) (320TX-4061)
1359 Lomaland Dr
Ste 300
El Paso, 79935-5201

" ], "timestamp" : "2026-06-16T00:37:23.704", "fingerprint" : "2e7519991fc412b3a086adc59db60b73d34a073f63820e774de3f032e7a59b64", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34735", "externalId" : "34735", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" } ], "locationText" : "El Paso, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Customer service", "Problem solving" ], "hardSkillsList" : [ "Unemployment rules application", "Benefit eligibility determination" ], "hardSkills" : [ { "name" : "Unemployment rules application", "level" : "intermediate" }, { "name" : "Benefit eligibility determination", "level" : "intermediate" } ], "majorSkills" : "Investigative work, Unemployment claims", "majorSkillsList" : [ "Investigative work", "Unemployment claims" ], "coreResponsibilities" : "Conduct investigations, Review eligibility for unemployment benefits, Determine employer liability for reimbursement, Interview claimants and employers, Gather facts on claims, Enter fact finding statements, Review claimant requests for additional wages, Review claimant requests for wage deletions, Document determination rationale, Provide information on unemployment insurance claims, Provide information on claims processes, Provide information on claims requirements, Check wage data for unreported earnings, Investigate improper payments, Provide information on appeal process", "teamCollaboration" : "Supportive team", "domainKnowledge" : "Unemployment insurance", "domainList" : [ "unemployment-insurance" ], "domainSpecificKnowledge" : [ "Unemployment insurance" ], "communicationSkills" : "Professional communication", "documentationSkills" : "Documenting rationale", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Lift up to 15 pounds, 25% travel, Security sensitive position, Criminal background investigation", "qualificationsBasic" : "Six months experience performing auditing, Six months experience investigating, Six months experience as unemployment insurance claims examiner, Six months experience gathering information, Six months experience interviewing, Six months experience counseling, Six months experience instructing, Six months experience demonstrating, Six months experience interpreting policies", "qualificationsPreferred" : "Acceptance into TWC Internship, Acceptance into TWC Apprenticeship", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 1359 Lomaland Dr, El Paso, Texas in the West Texas Tele-Center. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: An individual with professional communication skills, the ability to handle multiple priorities while meeting strict deadlines. An individual who can provide exemplary customer service while obtaining unemployment insurance benefit information, displays great problem-solving skills, can apply unemployment rules in issuing timely decisions with quality and is able to provide important unemployment program information to our customers so they understand their next steps. To be successful as an investigator, you will have a passion for serving people and be able to work both independently and collaboratively as a part of a supportive team. WHAT YOU WILL DO: The investigator I performs entry-level to routine (journey-level) investigative work. Work involves conducting investigations. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Review and determining eligibility for unemployment benefits including liability of employers for reimbursement -Interview claimants and employers to gather facts on claims being investigated and entering fact finding statements during this process -Review requests from claimants for additional wages and deletions of wages -Document reason for accepting one set of facts over another in the determination's rationale -Provide information on unemployment insurance claims provisions, processes, and requirements to claimants and employers -Check wage data for unreported earnings and investigating improper payments, when needed -Review requests from claimants for additional wages and deletions of wages -Provide information about the appeal process to claimants, as applicable -Perform other duties as assigned. YOU QUALIFY WITH: - Six months of full-time experience performing auditing or investigating work; or unemployment insurance claims examiner tasks; or gathering of information, interviewing, counseling, or in the instruction, demonstration, and interpretation of policies in a public or private enterprise. -Relevant academic credits may be applied toward experience qualifications for this position. -Acceptance into a TWC Internship or TWC Apprenticeship will satisfy the minimum qualifications. YOU ARE A GREAT FIT WITH: -Ability to lift and carry up to 15 pounds of job-related materials YOU GAIN: - A Family Friendly Certified Workplace. - Competitive salary: $3,311.14/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Position involves lifting and carrying up to 15 pounds of job-related materials. A skills test and/or written exercise will be required at the time of interview. This is a security sensitive position. A criminal background investigation will be conducted on the final candidates for the job. Incomplete applications may not be considered. TWC may use all available information, including past unemployment claims, to evaluate an applicant’s suitability for the position. Duty involves up to 25% travel within the state of Texas. This is a full-time position that will work 40 hours a week. Generally, the position will work from Monday through Friday from 8:00 AM – 5:00 PM local time. However, alternative hours may be available. You may be called upon to work outside of those hours, weekend, and holidays in the event of a disaster, unforeseen event, or special projects VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ComplianceInspectionandInvestigation.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-El Paso", "summaryDescription" : "Investigator at Texas Workforce Commission. Skills: Investigative work, Unemployment claims. Conduct investigations. Review eligibility for unemployment benefits", "createdAt" : "2026-06-14T18:54:54.411", "lastUpdated" : "2026-06-16T00:37:23.704", "ingestTimestamp" : "2026-06-14T18:54:54.411", "mongoId" : "69ec72e84c40e2acd1d0b66f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Unemployment rules application", "Benefit eligibility determination", "Investigative work", "Unemployment claims", "Customer service", "Problem solving", "Unemployment insurance" ], "skillCount" : 7, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 627.12854, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176b974d8ee00a0c1ab05", "title" : "Investigation Associate, PQ Ops", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 850000.0, "max" : 1300000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate, PQ Ops in Hyderabad, India, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T04:33:09.168", "fingerprint" : "7d4df2cb20f917628852b4195b743e0801a28c2dfa086b7ba8fca724e133df2a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435789/apply", "externalId" : "24c149f5-a0fa-4a79-90a6-46d9c21a44de", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace" ], "hardSkillsList" : [ "Investigate transactions", "Analyze data", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Judgment" ], "hardSkills" : [ { "name" : "Investigate transactions", "level" : "intermediate" }, { "name" : "Analyze data", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Judgment" } ], "majorSkills" : "Risk management, Transaction investigation, Data analysis", "majorSkillsList" : [ "Risk management", "Transaction investigation", "Data analysis" ], "coreResponsibilities" : "Investigate and eliminate online ecommerce risk, Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Frequent written and verbal communication; Internal customers and peers; Department management; Risk analysts; Risk engineers; Other company associates; Internal and external stakeholders", "domainKnowledge" : "Ecommerce risk; Online ecommerce risk; Transaction risk management", "domainList" : [ "ecommerce-risk", "online-ecommerce-risk", "transaction-risk-management" ], "domainSpecificKnowledge" : [ "Ecommerce risk", "Online ecommerce risk", "Transaction risk management" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Individual problem-solving; Analytical skills; Excellent judgment", "outcomesObjectives" : "Achieve productivity targets; Meet quality standards; Drive business goals", "qualificationsBasic" : "Bachelor's degree or above in a quantitative/technical field", "qualificationsPreferred" : "Experience using Microsoft Excel to analyze data, Ability to transform data into actionable insights", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications: - Experience using Microsoft Excel to analyze data, with the ability to transform data into actionable insights 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" : "Investigation Associate, PQ Ops at Amazon Dev Center India. Skills: Risk management, Transaction investigation, Data analysis. Investigate and eliminate online ecommerce risk. Research and evaluate facts surrounding seller transactions", "postedDate" : "2026-06-13T15:42:58.773", "createdAt" : "2026-06-13T15:42:58.773", "lastUpdated" : "2026-06-15T04:33:09.168", "ingestTimestamp" : "2026-06-13T15:42:58.773", "mongoId" : "6a2176b974d8ee00a0c1ab05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435789/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Investigate transactions", "Analyze data", "Problem-solving", "Analytical", "Judgment", "Risk management", "Transaction investigation", "Data analysis", "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace", "Ecommerce risk", "Online ecommerce risk", "Microsoft Excel" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 622.75006, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f092beec4dd3d93434b", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:58:29.389", "fingerprint" : "df2500f8314dde7ba09825a58565b96cc2620501e597eef78ac99626ee988721", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381246/apply", "externalId" : "d2f1069a-f16a-4d8f-83c9-0f79c03f8361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix, Linux", "professionalSkills" : [ "Data collection", "Data processing" ], "hardSkillsList" : [ "Data collection", "Data processing" ], "softSkillsList" : [ "Team work" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Fast-paced team environment; Highly collaborative environment; Dynamic work environment; Great team work", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "specialRequirements" : "Reliable transportation", "qualificationsBasic" : "Experience working in a fast-paced, team environment, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Comfortable working in a fast paced, highly collaborative, dynamic work environment, Practical knowledge of machine learning data processing needs and trade-offs, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Unix/Linux environment experience, A good sense of humor, A positive attitude, Great team work skills, Experience using MS Office, Excel experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience, Knowledge of Microsoft Office products and applications, Reliable transportation", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Confluence, Quip experience, Jira experience, Salesforce experience, End-to-end, hands-on experience with aspects of data collections, Experience moderating a 1:1 session with users independently in the field, Experience moderating sessions with users of different age and demographics, Consumer electronic research experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience working in a fast-paced, team environment - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. - Knowledge of Microsoft Office products and applications - Reliable transportation Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T05:54:27.865", "createdAt" : "2026-06-13T05:54:27.865", "lastUpdated" : "2026-06-15T01:58:29.389", "ingestTimestamp" : "2026-06-13T05:54:27.865", "mongoId" : "69cf3f092beec4dd3d93434b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381246/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data processing", "Team work", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools", "Quip", "Salesforce" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 622.2177, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176b974d8ee00a0c1aaeb", "title" : "Investigation Associate, PQ Ops", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 850000.0, "max" : 1300000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate, PQ Ops in Hyderabad, India, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:58:01.591", "fingerprint" : "dfb91841e589066a8d1140a9c707625b632623e492808d77db418544d61baed6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435803/apply", "externalId" : "dbc511a8-6eaa-4ce9-beb3-cc285f85f85a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace" ], "hardSkillsList" : [ "Investigate transactions", "Analyze data", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Judgment" ], "hardSkills" : [ { "name" : "Investigate transactions", "level" : "intermediate" }, { "name" : "Analyze data", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Judgment" } ], "majorSkills" : "Risk management, Transaction investigation, Data analysis", "majorSkillsList" : [ "Risk management", "Transaction investigation", "Data analysis" ], "coreResponsibilities" : "Investigate and eliminate online ecommerce risk, Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Frequent written and verbal communication with department management; Frequent written and verbal communication with risk analysts; Frequent written and verbal communication with risk engineers; Frequent written and verbal communication with other company associates", "domainKnowledge" : "Ecommerce risk; Online ecommerce risk", "domainList" : [ "ecommerce-risk", "online-ecommerce-risk" ], "domainSpecificKnowledge" : [ "Ecommerce risk", "Online ecommerce risk" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Individual problem-solving; Analytical skills", "outcomesObjectives" : "Achieve business goals; Meet productivity targets; Meet quality standards", "qualificationsBasic" : "Bachelor's degree or above in a quantitative/technical field", "qualificationsPreferred" : "Experience using Microsoft Excel to analyze data, Ability to transform data into actionable insights", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications: - Experience using Microsoft Excel to analyze data, with the ability to transform data into actionable insights 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" : "Investigation Associate, PQ Ops at Amazon Dev Center India. Skills: Risk management, Transaction investigation, Data analysis. Investigate and eliminate online ecommerce risk. Research and evaluate facts surrounding seller transactions", "postedDate" : "2026-06-13T15:25:43.331", "createdAt" : "2026-06-13T15:25:43.331", "lastUpdated" : "2026-06-15T07:58:01.591", "ingestTimestamp" : "2026-06-13T15:25:43.331", "mongoId" : "6a2176b974d8ee00a0c1aaeb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435803/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Investigate transactions", "Analyze data", "Problem-solving", "Analytical", "Judgment", "Risk management", "Transaction investigation", "Data analysis", "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace", "Ecommerce risk", "Online ecommerce risk", "Microsoft Excel" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 621.9854, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fda4e54c40e2acd1b99a61", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 17.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:45:30.956", "fingerprint" : "4887c84c75422dbce6c0cc503e1c3fc730dee584928ecc8bacb2ef0ed257dd36", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412515/apply", "externalId" : "7be0599e-57ce-48bc-9659-b699bb44101f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Unix/Linux, Mac OS", "professionalSkills" : [ "Data collection", "Data auditing", "Data markup" ], "hardSkillsList" : [ "Quantitative data analysis" ], "softSkillsList" : [ "Team work skills" ], "hardSkills" : [ { "name" : "Quantitative data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team work skills" } ], "majorSkills" : "Data collection", "majorSkillsList" : [ "Data collection" ], "coreResponsibilities" : "Learn data collection procedure, Execute data collection procedure, Record data, Document information associated to data, Contribute to improvements in data collection projects, Identify issues in tools, Suggest tool enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment; Great team work skills", "projectManagementSkills" : [ "Agile/scrum workflow" ], "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues and problems", "outcomesObjectives" : "Drive impact", "qualificationsBasic" : "Proficiency in MS Office, Data collection experience, Data auditing experience, Data markup experience, Scripting languages experience, Unix/Linux environment experience, Mac OS experience, Confluence experience, JIRA experience, Wiki tools experience", "qualificationsPreferred" : "Bachelor's degree or equivalent, Behavioral data collection experience, Scenario-driven data collection experience, Quantitative data analysis experience, Consumer electronic device flashing experience, Hardware and software testing experience, Salesforce experience, Agile/scrum workflow experience, Data collection and evaluation experience, Peer-to-peer feedback experience, Working with multiple stakeholders experience, Quantitative consumer research experience, Qualitative consumer research experience, iOS systems experience, Android systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint) - Experience in moderating and conducting data collection, data auditing, or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, scenario-driven data collection and quantitative data analysis - Experience with consumer electronic device flashing and readiness - Experience in hardware and software testing - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research - Experience with iOS and Android 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, VA, Arlington - 17.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection. Learn data collection procedure. Execute data collection procedure", "postedDate" : "2026-06-13T04:02:37.826", "createdAt" : "2026-06-13T04:02:37.826", "lastUpdated" : "2026-06-15T01:45:30.956", "ingestTimestamp" : "2026-06-13T04:02:37.826", "mongoId" : "69fda4e54c40e2acd1b99a61", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412515/apply", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quantitative data analysis", "Team work skills", "Data collection", "Data auditing", "Data markup", "Agile/scrum workflow", "Machine learning data processing", "MS Office", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 620.41315, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3764", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T03:43:25.429", "fingerprint" : "fb262e47f702be0e0f2114333024c42a788943bd46366f372d93a67f47dc7938", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194786/apply", "externalId" : "6cb58604-4a39-4548-a15f-6c7ac23accb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Identify issues; Address issues; Address problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree 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. 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T04:30:11.798", "createdAt" : "2026-06-13T04:30:11.798", "lastUpdated" : "2026-06-15T03:43:25.429", "ingestTimestamp" : "2026-06-13T04:30:11.798", "mongoId" : "69c94a6d9bc74574cbbb3764", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194786/apply", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 68640, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data annotation", "Data labeling", "Linguistic annotation", "Data markup", "Natural language data labeling", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 618.9992, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176b974d8ee00a0c1aaf6", "title" : "Investigation Associate, PQ Ops", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate in E-commerce in Hyderabad, India, adjusted for mid-seniority and Amazon's company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-14T23:44:22.162", "fingerprint" : "8664aabc048de50f91915674e70d444badcb8209e09339ff475e44bd38260f9b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435802/apply", "externalId" : "4bc3937a-3d8b-43e3-adc9-d951e26493b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace" ], "hardSkillsList" : [ "Problem-solving", "Analytical skills" ], "softSkillsList" : [ "Analytical", "Judgment" ], "hardSkills" : [ { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Judgment" } ], "majorSkills" : "Investigation, Risk management, Data analysis", "majorSkillsList" : [ "Investigation", "Risk management", "Data analysis" ], "coreResponsibilities" : "Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Frequent written and verbal communication with department management; Frequent written and verbal communication with risk analysts; Frequent written and verbal communication with risk engineers; Frequent written and verbal communication with other company associates", "domainKnowledge" : "Online ecommerce risk; Transaction risk management", "domainList" : [ "online-ecommerce-risk", "transaction-risk-management" ], "domainSpecificKnowledge" : [ "Online ecommerce risk", "Transaction risk management" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Individual problem-solving; Analytical skills; Excellent judgment", "outcomesObjectives" : "Elimination of online ecommerce risk; Achieve business goals; Meet productivity targets; Meet quality standards", "qualificationsBasic" : "Bachelor's degree or above in a quantitative/technical field", "qualificationsPreferred" : "Experience using Microsoft Excel to analyze data, Ability to transform data into actionable insights", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications: - Experience using Microsoft Excel to analyze data, with the ability to transform data into actionable insights 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" : "Investigation Associate, PQ Ops at Amazon Dev Center India. Skills: Investigation, Risk management, Data analysis. Research and evaluate facts surrounding seller transactions. Take appropriate action on investigated transactions", "postedDate" : "2026-06-13T08:04:26.921", "createdAt" : "2026-06-13T08:04:26.921", "lastUpdated" : "2026-06-14T23:44:22.162", "ingestTimestamp" : "2026-06-13T08:04:26.921", "mongoId" : "6a2176b974d8ee00a0c1aaf6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435802/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Problem-solving", "Analytical skills", "Analytical", "Judgment", "Investigation", "Risk management", "Data analysis", "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace", "Online ecommerce risk", "Microsoft Excel" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 615.8107, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb3765", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 21.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:37:09.708", "fingerprint" : "63871b582f22e1b394131df9c21974dc7ad34068876fa4337fbbb609fb528faa", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194798/apply", "externalId" : "eead4785-328b-4204-a345-c03136e2bbff", "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" : "Scripting languages, Unix, Linux, MS Office, Excel, Mac OS, Confluence, JIRA, Wiki", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "hardSkillsList" : [ "Data collection", "Data markup", "Data processing" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data collection, Data annotation, Data markup", "majorSkillsList" : [ "Data collection", "Data annotation", "Data markup" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Highly collaborative environment", "domainKnowledge" : "Machine learning data processing", "domainList" : [ "machine-learning-data-processing" ], "domainSpecificKnowledge" : [ "Machine learning data processing" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document information", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Data annotation experience, Linguistic annotation experience, Data markup experience, Excellent communication skills, Organizational skills, Very detailed-oriented, Experience working in a corporate environment, Practical knowledge of machine learning data processing needs, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Unix/Linux environment experience, Great team work skills, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience using Quip, Experience using Salesforce, End-to-end data collections experience, Recruiting experience, Moderation experience, Reporting experience, Moderating a 1:1 session independently, Moderating sessions with users of different age and demographics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Excellent communication, strong organizational skills and very detailed-oriented - Experience working in a corporate environment - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience in research or data collection - - Experience using Confluence, Quip, Jira, Salesforce - - End-to-end, hands-on experience with aspects of data collections (recruiting, moderation, reporting) - - Experience moderating a 1:1 session with users independently in the field - - Experience moderating sessions with users of different age and demographics is a big plus - - Consumer electronic research experience 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:21:05.827", "createdAt" : "2026-06-13T02:21:05.827", "lastUpdated" : "2026-06-15T01:37:09.708", "ingestTimestamp" : "2026-06-13T02:21:05.827", "mongoId" : "69c94a6d9bc74574cbbb3765", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194798/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Data markup", "Data processing", "Data annotation", "Data labeling", "Linguistic annotation", "Machine learning data processing", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki" ], "skillCount" : 13, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 613.04376, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a6d9bc74574cbbb376c", "title" : "Data Collection Specialist", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, customer service", "salary" : { "min" : 19.0, "max" : 33.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T00:04:16.939", "fingerprint" : "6edc2192ebb3a706cfc9832344c2d03f1a68aeb11c74e72e5748e11009f454e0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3194783/apply", "externalId" : "3fa0d337-f5ac-45c2-93bd-f67344cfa3ff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Unix/Linux", "professionalSkills" : [ "Data labeling", "Data annotation", "Linguistic annotation", "Data markup" ], "majorSkills" : "Data collection, Data annotation", "majorSkillsList" : [ "Data collection", "Data annotation" ], "coreResponsibilities" : "Learn quickly, Execute collection procedure accurately, Record data, Document needed information, Contribute to improvements in data collection projects, Identify issues in tools, Suggest enhancements, Understand changes to collection protocol", "teamCollaboration" : "Working with other employees; Communicate effectively and respectfully", "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "communicationSkills" : "Interpersonal skills", "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research, Experience in data collection, Experience with scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree 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. 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, CA, Sunnyvale - 19.00 - 33.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation. Learn quickly. 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Great team work skills", "domainKnowledge" : "Natural language data labeling; Data annotation; Linguistic annotation; Data markup; Machine learning data processing; Behavioral data collection; Quantitative data analysis; Agile/scrum workflow", "domainList" : [ "natural-language-data-labeling", "data-annotation", "linguistic-annotation", "data-markup", "machine-learning-data-processing", "behavioral-data-collection", "quantitative-data-analysis", "agile-scrum-workflow" ], "domainSpecificKnowledge" : [ "Natural language data labeling", "Data annotation", "Linguistic annotation", "Data markup", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow" ], "toolProficiency" : [ "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "documentationSkills" : "Document information", "innovationCreativity" : "Suggest enhancements", "problemSolvingSkills" : "Addressing issues; Addressing problems", "qualificationsBasic" : "Experience in natural language data labeling, Experience in data annotation, Experience in linguistic annotation, Experience in other forms of data markup, Experience working with prototype assets, Experience in research or data collection, Experience with any scripting languages, Experience with Unix/Linux environment, Experience using MS Office, Experience using Excel, Experience using Mac OS, Experience using Confluence, Experience using JIRA, Experience using Wiki tools", "qualificationsPreferred" : "Bachelor's degree or equivalent, Experience with behavioral data collection, Experience with quantitative data analysis, Experience with statistics, Experience with Salesforce, Experience with JIRA, Experience in agile/scrum, Experience in related collaborative workflow, Experience in data collection and evaluation, Experience in providing peer-to-peer feedback, Experience working with multiple groups of stakeholders, Experience in supporting quantitative and qualitative consumer research", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus. Basic Qualifications: - Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup - Comfortable working in a fast paced, highly collaborative, dynamic work environment Practical knowledge of machine learning data processing needs and trade-offs Experience working with prototype assets Experience in research or data collection Experience with any scripting languages and Unix/Linux environment is a plus - A good sense of humor, a positive attitude, and great team work skills are a must Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools. Preferred Qualifications: - Bachelor's degree or equivalent - Experience with behavioral data collection, quantitative data analysis, and statistics - Experience with Salesforce or JIRA, or experience in agile/scrum or related collaborative workflow - Experience in data collection and evaluation to drive impact - Experience in providing peer-to-peer feedback - Experience working with multiple groups of stakeholders - Experience in supporting quantitative and qualitative consumer research 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . USA, WA, Bellevue - 21.00 - 30.00 USD hourly", "summaryDescription" : "Data Collection Specialist at Amazon.com Services LLC. Skills: Data collection, Data annotation, Data markup. Learn quickly. Execute collection procedure accurately", "postedDate" : "2026-06-13T02:00:28.863", "createdAt" : "2026-06-13T02:00:28.863", "lastUpdated" : "2026-06-15T01:23:35.587", "ingestTimestamp" : "2026-06-13T02:00:28.863", "mongoId" : "69c94a6d9bc74574cbbb3762", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3194789/apply", "salaryAnnualMin" : 43680, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data markup", "Data collection", "Quantitative analysis", "Statistics", "Organized", "Interpersonal skills", "Sense of humor", "Team work skills", "Data annotation", "Data labeling", "Linguistic annotation", "Natural language data labeling", "Machine learning data processing", "Behavioral data collection", "Quantitative data analysis", "Agile/scrum workflow", "MS Office", "Excel", "Mac OS", "Confluence", "JIRA", "Wiki tools" ], "skillCount" : 22, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 612.0489, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176b974d8ee00a0c1aaee", "title" : "Investigation Associate, PQ Ops", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate in Hyderabad, India, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T06:12:38.475", "fingerprint" : "44ab5eb0f55e668f83723be126302e0d3ad208ab555f62502b004e844395f81a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435787/apply", "externalId" : "6a6ef0ae-ac38-49d2-aad2-d02ea48d3fdb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace" ], "hardSkillsList" : [ "Data analysis", "Problem-solving" ], "softSkillsList" : [ "Analytical", "Judgment" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Judgment" } ], "majorSkills" : "Investigation, Risk management, Data analysis", "majorSkillsList" : [ "Investigation", "Risk management", "Data analysis" ], "coreResponsibilities" : "Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Frequent written and verbal communication; Internal customers and peers; Department management; Risk analysts; Risk engineers; Other company associates", "domainKnowledge" : "Online ecommerce risk; Ecommerce payments", "domainList" : [ "online-ecommerce-risk", "ecommerce-payments" ], "domainSpecificKnowledge" : [ "Online ecommerce risk", "Ecommerce payments" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Individual problem-solving; Analytical skills; Excellent judgment", "outcomesObjectives" : "Elimination of online ecommerce risk; Accomplish goals; Achieve high degree of accuracy; Drive business goals; Meet productivity targets; Meet quality standards", "qualificationsBasic" : "Bachelor's degree or above in a quantitative/technical field", "qualificationsPreferred" : "Experience using Microsoft Excel to analyze data, Ability to transform data into actionable insights", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications: - Experience using Microsoft Excel to analyze data, with the ability to transform data into actionable insights 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" : "Investigation Associate, PQ Ops at Amazon Dev Center India. Skills: Investigation, Risk management, Data analysis. Research and evaluate facts surrounding seller transactions. Take appropriate action on investigated transactions", "postedDate" : "2026-06-13T06:42:42.165", "createdAt" : "2026-06-13T06:42:42.165", "lastUpdated" : "2026-06-15T06:12:38.475", "ingestTimestamp" : "2026-06-13T06:42:42.165", "mongoId" : "6a2176b974d8ee00a0c1aaee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435787/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Problem-solving", "Analytical", "Judgment", "Investigation", "Risk management", "Transaction risk management", "Ecommerce payments", "Trust and safety", "Customer-driven workplace", "Online ecommerce risk", "Microsoft Excel" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 612.00275, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e426f8b1b0376634c660", "title" : "Investigations Manager I, Investigations", "company" : "AOSP-V - M26", "industry" : "Investigation Loss Prevention, Investigation, selling partner services", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Investigations Manager I in Metro Manila, Philippines, adjusted for manager seniority and full-time employment." }, "location" : "PHL", "locations" : [ "PHL" ], "timestamp" : "2026-06-15T08:16:51.059", "fingerprint" : "3876706169b0ceb4f3cc9c27154815746a550def5ed7c46e6e75a397337993f1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071098/apply", "externalId" : "565753db-8927-468f-aeb7-05a498460d42", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5736108,121.0329706" }, { "city" : "Cavite", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.2554073,120.8671503" }, { "city" : "Bulacan", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "15.0000000,121.0833330" }, { "city" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.1696476,121.3336526" }, { "city" : "Rizal", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6500000,121.2500000" } ], "locationText" : "Metro Manila, Philippines; Cavite, Philippines; Bulacan, Philippines; Laguna, Philippines; Rizal, Philippines", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "People management", "Performance management", "Business operations management", "Process improvement", "Continuous improvement", "Data-driven decision making", "Operational excellence", "Cross-functional collaboration", "Root cause analysis", "Lean methodologies", "Strategic automation", "Data-driven process optimization" ], "hardSkillsList" : [ "Performance analytics", "Quality monitoring", "Process assessment", "Data analysis", "Problem-solving methodologies", "Process improvement methodologies", "Metrics-based decision making" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Performance analytics", "level" : "intermediate" }, { "name" : "Quality monitoring", "level" : "intermediate" }, { "name" : "Process assessment", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem-solving methodologies", "level" : "intermediate" }, { "name" : "Process improvement methodologies", "level" : "intermediate" }, { "name" : "Metrics-based decision making", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "People leadership, Process improvement, Data analysis", "majorSkillsList" : [ "People leadership", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Lead and develop investigations team, Manage team performance, Coordinate team performance, Evaluate team performance, Develop performance goals, Achieve performance goals, Track progress using analytics, Conduct interviews, Implement training programs, Allocate work, Conduct performance reviews, Mentor new managers, Mentor high-potential employees, Lead site level functional responsibilities, Implement digital solutions, Communicate policies and updates, Ensure compliance, Ensure consistency, Monitor processes, Document processes, Manage SLAs, Track SLAs in real-time, Monitor performance dashboards, Ensure quality of assigned team, Ensure productivity of assigned team, Identify customer issues, Analyze customer feedback, Analyze customer trends, Implement targeted solutions, Use AI tools for pattern recognition, Build process improvements, Drive process improvement culture, Drive continuous improvement culture, Apply kaizen methodologies, Apply lean methodologies, Apply strategic automation, Optimize processes using data, Collaborate cross-functionally, Identify barriers to accuracy, Identify barriers to productivity, Identify barriers to quality, Conduct process assessments, Implement automated solutions, Identify bottlenecks using analytics, Develop standardized operating procedures", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Project management methodologies", "Cross-functional projects" ], "domainKnowledge" : "Contact Center Operations", "domainList" : [ "contact-center-operations" ], "domainSpecificKnowledge" : [ "Contact Center Operations" ], "toolProficiency" : [ "Microsoft Office Suite", "Excel", "Pivot tables", "Reporting tools", "Analytical tools" ], "communicationSkills" : "Communicate complex problems; Communicate solutions; Document processes; Present process improvement initiatives", "documentationSkills" : "Document processes; Document findings", "problemSolvingSkills" : "Problem-solving methodologies; Root cause analysis; Data-driven decision making; Analytical skills; Identify trends; Identify patterns", "specialRequirements" : "Physically based in Metro Manila, Cavite, Bulacan, Laguna or Rizal, Reliable ISP (200 MBPS+), Internet and power backup, Private work area, Free of distractions", "qualificationsBasic" : "Bachelor's Degree, 2+ years people leadership, Contact Center Operations experience, English language fluency, Ability to document and present process improvement initiatives, Proven experience implementing process improvement methodologies, Knowledge of root cause analysis tools, Experience leading continuous improvement initiatives, Analytical skills, Experience in performance tracking, Capability to translate data insights into actionable improvements", "qualificationsPreferred" : "Advanced proficiency in Microsoft Office Suite, Experience with data visualization tools, Experience with process mapping tools, Demonstrated ability to use analytical tools, Understanding of project management methodologies, Experience in leading cross-functional process improvement projects, Ability to manage multiple initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "You must be physically based in Metro Manila, Cavite, Bulacan, Laguna or Rizal. Remote Work Requirement A reliable ISP (internet bandwidth of at least 200 MBPS speed or higher) connection, either through DSL, fiber or a cable modem, and should have at least 100 GB data from a reliable provider. Internet and power back up must be available in case of connectivity/power outages. Your work area should be a private space in which you are not overlooked or disturbed. Your work area must be free of distractions such as barking dogs, television noise, music, children, etc. You must be able to devote full attention to the Amazon customer. Key job responsibilities People Management: • Leading and developing a team of 18-21 investigations associates; responsible for the overall performance management, coordination, and evaluation of the team using both traditional and data-driven insights. • Develop and achieve performance goals and objectives aligned with network-wide vision, utilizing performance analytics tools to track progress. • Carrying out supervisory responsibilities in accordance with Amazon's policies and procedures; responsibilities include interviewing, implementing structured training programs, work allocation, and performance reviews supported by analytics tools. • Mentoring new managers and high-potential employees, including guidance on leveraging available technology and process improvement methodologies. • Leading Site Level initiatives; primary owner of functional responsibilities that impact overall site, with focus on implementing efficient digital solutions where applicable. • Communicating policies and updates to investigations associates through established channels and digital platforms. • Ensure compliance and consistency through systematic monitoring and documentation processes. Business/Operations Management: • Management of SLAs using real-time tracking systems and performance dashboards. • Responsible for quality and productivity of assigned team, leveraging both traditional metrics and AI-assisted quality monitoring tools. • Developing and achieving performance goals through data-driven decision making and operational excellence. • Identifying customer issues through: • Analysis of customer feedback and trends • Implementing targeted solutions • Using available AI tools for pattern recognition • Building process improvements based on findings • Drive process improvement and continuous improvement culture through: • Traditional 'kaizen' and lean methodologies • Strategic automation where applicable • Data-driven process optimization • Cross-functional collaboration • Identifying and eliminating barriers to accuracy, productivity, and quality by: • Conducting regular process assessments • Implementing automated solutions for routine tasks • Using analytics to identify bottlenecks • Developing standardized operating procedures • Leveraging appropriate technology solution Basic Qualifications: • Basic Qualifications: Education and Experience: • Bachelor's Degree from an accredited university • 2+ years people leadership experience managing teams of 10-25 direct reports • Contact Center Operations experience. Leadership and Change Management: • Demonstrated success in leading teams through process changes and improvements • Experience in developing and implementing standard operating procedures • Proven ability to coach teams on problem-solving methodologies. Communication: • English language fluency • Ability to effectively communicate complex problems and solutions to various stakeholders • Experience in documenting and presenting process improvement initiatives. Process Improvement Expertise: • Proven experience implementing process improvement methodologies • Knowledge of root cause analysis tools and techniques (5-Why, Fishbone diagrams, Pareto analysis) • Experience leading continuous improvement initiatives and measuring their impact. Analytical and Decision-Making: • Strong analytical skills with ability to identify trends and patterns in data • Experience in performance tracking and metrics-based decision making • Capability to translate data insights into actionable improvements. Preferred Qualifications: Technical Skills: • Advanced proficiency in Microsoft Office Suite, particularly Excel for data analysis, pivot tables, and reporting • Experience with data visualization and process mapping tools • Demonstrated ability to use analytical tools for root cause analysis and problem-solving. Project Management: • Understanding of project management methodologies and their practical application • Experience in leading cross-functional process improvement projects • Ability to manage multiple initiatives while maintaining operational excellence. 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" : "Investigations Manager I, Investigations at AOSP-V - M26. Skills: People leadership, Process improvement, Data analysis. Lead and develop investigations team. Manage team performance", "postedDate" : "2026-06-13T16:04:15.639", "createdAt" : "2026-06-13T16:04:15.639", "lastUpdated" : "2026-06-15T08:16:51.059", "ingestTimestamp" : "2026-06-13T16:04:15.639", "mongoId" : "68c2e426f8b1b0376634c660", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071098/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analytics", "Quality monitoring", "Process assessment", "Data analysis", "Problem-solving methodologies", "Process improvement methodologies", "Metrics-based decision making", "Leadership", "Mentoring", "People leadership", "Process improvement", "People management", "Performance management", "Business operations management", "Continuous improvement", "Data-driven decision making", "Operational excellence", "Cross-functional collaboration", "Root cause analysis", "Lean methodologies", "Strategic automation", "Data-driven process optimization", "Project 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"Receiving operations", "Inventory record maintenance", "Powered equipment operation", "Forklift operation", "Cherry picker operation", "Vendor relationship management", "RMA processing", "Replacement coordination", "Site coverage planning", "Escalation management", "Operational planning", "High availability maintenance", "Cost optimization", "Team metrics maintenance", "Report generation", "Leadership meeting representation", "Procurement coordination", "Hardware engineering coordination", "Inventory level management", "Vendor liaison", "Cluster pickup coordination", "Process issue identification", "Continuous improvement support", "Safety standards compliance", "Internal system use", "Training in Manassas", "Training in Fredericksburg", "Metric investigation", "Backlog review", "SLA adherence", "Management communication", "Site tech support", "Asset lifting", "Customer needs fulfillment", "Management information filtering", "Project support", "PR/PO submission", "Logistics space design", "Current standards adherence", "Approved standards adherence", "Periodic review planning", "Manager coordination", "Team sync hosting", "One-on-one hosting", "Process improvement implementation", "Operational needs travel", "Business needs on-call" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Logistics operations", "level" : "intermediate" }, { "name" : "Data center logistics", "level" : "intermediate" }, { "name" : "Asset lifecycle analysis", "level" : "intermediate" }, { "name" : "Shipping operations", "level" : "intermediate" }, { "name" : "Receiving operations", "level" : "intermediate" }, { "name" : "Inventory record maintenance", "level" : "intermediate" }, { "name" : "Powered equipment operation", "level" : "intermediate" }, { "name" : "Forklift operation", "level" : "intermediate" }, { "name" : "Cherry picker operation", "level" : "intermediate" }, { "name" : "Vendor relationship management", "level" : "intermediate" }, { "name" : "RMA processing", "level" : "intermediate" }, { "name" : "Replacement coordination", "level" : "intermediate" }, { "name" : "Site coverage planning", "level" : "intermediate" }, { "name" : "Escalation management", "level" : "intermediate" }, { "name" : "Operational planning", "level" : "intermediate" }, { "name" : "High availability maintenance", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" }, { "name" : "Team metrics maintenance", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Leadership meeting representation", "level" : "intermediate" }, { "name" : "Procurement coordination", "level" : "intermediate" }, { "name" : "Hardware engineering coordination", "level" : "intermediate" }, { "name" : "Inventory level management", "level" : "intermediate" }, { "name" : "Vendor liaison", "level" : "intermediate" }, { "name" : "Cluster pickup coordination", "level" : "intermediate" }, { "name" : "Process issue 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}, { "name" : "Logistics space design", "level" : "intermediate" }, { "name" : "Current standards adherence", "level" : "intermediate" }, { "name" : "Approved standards adherence", "level" : "intermediate" }, { "name" : "Periodic review planning", "level" : "intermediate" }, { "name" : "Manager coordination", "level" : "intermediate" }, { "name" : "Team sync hosting", "level" : "intermediate" }, { "name" : "One-on-one hosting", "level" : "intermediate" }, { "name" : "Process improvement implementation", "level" : "intermediate" }, { "name" : "Operational needs travel", "level" : "intermediate" }, { "name" : "Business needs on-call", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Logistics operations, Data center logistics, Process improvement, Vendor management", "majorSkillsList" : [ "Logistics operations", "Data center logistics", "Process improvement", "Vendor management" ], "coreResponsibilities" : "Manage daily logistics operations, Ensure service level agreements are met, Analyze data center asset lifecycles, Develop site coverage plans, Address escalations, Make strategic decisions, Maintain high availability, Optimize costs, Maintain team metrics, Generate reports for stakeholders, Represent team in leadership meetings, Manage inventory levels, Serve as primary liaison with vendors, Process RMA, Coordinate replacements, Coordinate cluster wide pickups, Conduct one-on-one meetings, Identify process-related issues, Support continuous improvement initiatives, Oversee shipping operations, Oversee receiving operations, Maintain accurate inventory records, Ensure compliance with safety standards, Operate powered equipment, Investigate metrics, Review backlogs, Develop strategy to eliminate backlogs, Delegate tasks to eliminate backlogs, Ensure sites meet customer expectations, Filter information from management, Filter information to site logistics, Support projects outside day to day, Submit necessary PRs/POs, Design logistics spaces, Plan site coverage, Coordinate with manager, Host team syncs, Host one-on-one conversations, Make process improvements, Travel between sites, Provide on-call coverage", "teamCollaboration" : "Cross-functional teams; Logistics Managers; Procurement teams; Hardware Engineering teams; Vendors", "domainKnowledge" : "Cloud computing infrastructure; Data center operations; Global infrastructure", "domainList" : [ "cloud-computing-infrastructure", "data-center-operations", "global-infrastructure" ], "domainSpecificKnowledge" : [ "Cloud computing infrastructure", "Data center operations", "Global infrastructure" ], "toolProficiency" : [ "Warehouse management systems" ], "communicationSkills" : "Written communication; Verbal communication; Report generation; Stakeholder communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data analysis", "specialRequirements" : "Lift up to 39lbs, Perform team lifts, Travel between sites, On-call coverage", "outcomesObjectives" : "Ensure all service level agreements are met; Maintain high availability; Optimize costs; Ensure sites meet customer needs", "qualificationsBasic" : "2+ years warehousing experience, Leadership abilities, Commitment to operational excellence, Deep analysis of asset lifecycles, Close collaboration with Logistics Managers, Strategic decision-making, Maintaining team metrics, Generating reports for stakeholders, Representing team in leadership meetings, Managing inventory levels, Primary liaison with vendors, Conducting one-on-one meetings, Overseeing shipping and receiving, Maintaining accurate inventory records, Ensuring compliance with safety standards, Hands-on involvement in logistics, Ability to operate powered equipment, Analytical and data interpretation skills, Excellence in written communication, Excellence in verbal communication, Thrive in fast-paced environment, Experience managing vendor relationships, Proficiency in warehouse management systems, Commitment to safety standards, Commitment to quality control, Balance strategic planning, Hands-on operational management, Maintain highest standards of quality, Maintain highest standards of efficiency, Investigating metrics, Reviewing backlogs, Develop strategy to eliminate backlogs, Delegate tasks to eliminate backlogs, Ensure set SLAs are met, Communicate progress/holdups with management, Assist in site tech responsibilities, Filter information from management, Filter information to site logistics, Submit all necessary PRs/POs, Design all Logistics spaces, Plan site coverage, Coordinate with manager, Host team syncs, Make process improvements, Travel between sites, On-call coverage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services seeks experienced professionals to lead logistics operations within our global cloud computing infrastructure. The ideal candidate will bring substantial warehousing experience, coupled with strong leadership abilities and a commitment to operational excellence. The Logistics site lead manages daily cluster data center logistics operations, ensuring all service level agreements are met. This role requires deep analysis of datacenter asset lifecycles and close collaboration with Logistics Managers to develop site coverage plans and address escalations. The position involves strategic decision-making regarding spare component lifecycles, customer engagements, and operational planning to maintain high availability while optimizing costs. The role encompasses maintaining team metrics, generating reports for stakeholders, and representing the team in leadership meetings. The lead will work closely with Procurement and Hardware Engineering teams to manage inventory levels and serve as the primary liaison with vendors for RMA processing and replacement coordination including coordinating cluster wide pickups as needed. They will also conduct regular one-on-one meetings with team members to identify process-related issues and support continuous improvement initiatives. Operational responsibilities include overseeing the team's shipping and receiving operations, maintaining accurate inventory records through internal systems, and ensuring compliance with safety standards. The position requires hands-on involvement in logistics operations, including the ability to operate powered equipment such as forklifts and cherry pickers when necessary. The ideal candidate should possess strong analytical and data interpretation skills, with excellence in written and verbal communication. They must be able to thrive in a fast-paced, complex environment while demonstrating experience in managing vendor relationships and leadership capabilities. Proficiency in warehouse management systems is essential, as is commitment to safety standards and quality control. The successful candidate must balance strategic planning with hands-on operational management while maintaining the highest standards of quality and efficiency in support of AWS's global infrastructure. Note - This role will initially require working in Manassas or Fredericksburg for training. Key job responsibilities - Investigating metrics and reviewing backlogs - Develop a strategy and delegate tasks to eliminate backlogs - Ensure set SLAs are met - Communicate progress/holdups with management - Assist in site tech responsibilities when needed. This will include but not limited to requiring to lift up to 39lbs individually and perform team lifts for assets over 39lbs - Ensure each site is meeting the needs/expectations of our customers/business - Filter information from management to site logistics and vice versa - A supporter of projects outside of day to day operations - The lead will submit all necessary PR’s/PO’s to design all Logistics spaces with the site(s) by using current and approved standards within IAD. - Plan site coverage for day to day and during periodic reviews by coordinating with manager - Host team syncs - Host one-one conversations with team and make process improvements - Travel between sites as per operational needs - On-call coverage as per business needs A day in the life As the Logistics Site Lead, you will lead your team to maintain successful daily operations within your cluster. You will review incoming deliveries, track weekly priorities, and ensure all SLAs are met. You will contribute to your teams development through assisting in projects, and drive projects and process improvements on your own. You will organize coverage needs with your cluster and assist the manager with organizing strategies to complete ongoing high-priority tasks. The Logistics team in IAD is responsible for providing end-to-end inventory management services for server and network equipment used within the Data Center including: receiving, RMA, media handling, parts transfers, maintaining inventory stock profiles, customer service, mitigating upstream/downstream barriers, establishing/enhancing processes, and general safety and security of the buildings and teams within. IAD is comprised of numerous Data Centers across NOVA and Central Virginia and are serviced by the Logistics remote site teams. About the team 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. 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. 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. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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: - 2+ years of logistics experience - 1+ years of material forecasting, shipping & receiving, inventory and warehousing practices. - Valid driver's license with access to personal vehicle for daily use Preferred Qualifications: - 1+ year experience in team leadership/supervisory experience 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 $52,500/year in our lowest geographic market up to $112,400/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" : "Data Center Logistics Site Lead at Amazon Data Services, Inc.. Skills: Logistics operations, Data center logistics, Process improvement, Vendor management. Manage daily logistics operations. Ensure service level agreements are met", "postedDate" : "2026-06-13T20:23:40.174", "createdAt" : "2026-06-13T20:23:40.174", "lastUpdated" : "2026-06-15T06:37:39.590", "ingestTimestamp" : "2026-06-13T20:23:40.174", "mongoId" : "68dd1eeace260f92cbea0d4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3098652/apply", "salaryAnnualMin" : 52500, "salaryAnnualMax" : 112400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Logistics operations", "Data center logistics", "Asset lifecycle analysis", "Shipping operations", "Receiving operations", "Inventory record maintenance", "Powered equipment operation", "Forklift operation", "Cherry picker operation", "Vendor relationship management", "RMA processing", "Replacement coordination", "Site coverage planning", "Escalation management", "Operational planning", "High availability maintenance", "Cost optimization", "Team metrics maintenance", "Report generation", "Leadership meeting representation", "Procurement coordination", "Hardware engineering coordination", "Inventory level management", "Vendor liaison", "Cluster pickup coordination", "Process issue identification", "Continuous improvement support", "Safety standards compliance", "Internal system use", "Training in Manassas", "Training in Fredericksburg", "Metric investigation", "Backlog review", "SLA adherence", "Management communication", "Site tech support", "Asset lifting", "Customer needs fulfillment", "Management information filtering", "Project support", "PR/PO submission", "Logistics space design", "Current standards adherence", "Approved standards adherence", "Periodic review planning", "Manager coordination", "Team sync hosting", "One-on-one hosting", "Process improvement implementation", "Operational needs travel", "Business needs on-call", "Leadership", "Process improvement", "Vendor management", "Process management", "Cross-functional coordination", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Supply chain management", "Customer engagement", "Inventory management", "Safety compliance", "Quality control", "Data interpretation", "Strategic planning", "Operational management", "Cloud computing infrastructure", "Data center operations", "Global infrastructure", "Warehouse management systems" ], "skillCount" : 72, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 601.8994, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7cc074d8ee00a094e2e2", "title" : "Data Center Site Security Manager", "company" : "CoreWeave", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager-level Data Center Site Security Manager in Kenilworth, United States, adjusted for industry and company size." }, "location" : "Kenilworth, NJ - DC", "locations" : [ "Kenilworth", "NJ - DC" ], "certifications" : [ "PSP", "CPP", "CPTED" ], "timestamp" : "2026-06-15T03:47:35.209", "fingerprint" : "923ca2a28ddffef051ee3d21fa5cc7d52924d21531cd15add24c2e616d77e13c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://coreweave.com/careers/job?4688846006&board=coreweave&gh_jid=4688846006", "externalId" : "4688846006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kenilworth", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6771374,-74.2870715" } ], "locationText" : "Kenilworth, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Security metrics tracking", "Incident reporting", "Trend analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Security metrics tracking", "level" : "intermediate" }, { "name" : "Incident reporting", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Physical security operations, Guard force management, Access control, Incident response", "majorSkillsList" : [ "Physical security operations", "Guard force management", "Access control", "Incident response" ], "coreResponsibilities" : "Own physical security operations, Scale security program, Manage on-site contract guard force, Coordinate with campus security, Administer access control policies, Enforce access control policies, Oversee physical security systems, Manage security event escalations, Ensure effective onsite response, Partner with GSOC on alarm response, Develop site-specific security plans, Maintain site-specific security plans, Improve site-specific security plans, Oversee visitor access programs, Oversee vendor access programs, Oversee contractor access programs, Track key security metrics, Report on key security metrics, Support security operations at regional facilities", "teamCollaboration" : "Data Center Operations; Global Security Operations Center (GSOC); Corporate security leadership; Campus security; Customer stakeholders; Local law enforcement; External vendors; Property management teams", "domainKnowledge" : "Critical infrastructure protection; Data center security; High-security environments", "domainList" : [ "critical-infrastructure-protection", "data-center-security", "high-security-environments" ], "domainSpecificKnowledge" : [ "Critical infrastructure protection", "Data center security", "High-security environments" ], "documentationSkills" : "Post orders; Standard operating procedures (SOPs); Emergency response procedures", "specialRequirements" : "Full-time onsite presence, Access to export controlled information, U.S. person status", "qualificationsBasic" : "Physical security operations, Contract guard force management, Electronic security systems, Access control, Incident response, Investigations, Compliance with security requirements, Site security standards", "qualificationsPreferred" : "Experience in law enforcement, Experience in military, Experience in intelligence, Experience in corporate security, Experience in security-focused operational environments, Professional security certifications, PSP, CPP, CPTED, Leading physical security programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do The Security organization at CoreWeave is responsible for protecting critical infrastructure across our growing data center footprint. This team partners closely with Data Center Operations, the Global Security Operations Center (GSOC), corporate security leadership, campus security, and customer stakeholders to maintain secure, compliant, and resilient operations across mission-critical environments. About the Role The Data Center Site Security Manager owns physical security operations for CoreWeave’s wholly-owned data center in Kenilworth, NJ. Responsible for protecting critical infrastructure across the facility, this role oversees all aspects of site security, including contract guard force management, electronic security systems, access control, incident response, investigations, and compliance with CoreWeave and customer security requirements. As the site continues to expand, you will scale security operations to support a growing footprint while partnering closely with campus security and property management teams across shared infrastructure and common areas. Success in this role requires strong cross-functional collaboration with the Global Security Operations Center (GSOC), Data Center Operations, corporate security leadership, local law enforcement, external vendors, and customer stakeholders. This is a highly visible, hands-on leadership role for someone who thrives in mission-critical environments and is comfortable owning security operations end-to-end. The ideal candidate brings experience managing physical security programs within data centers, critical infrastructure, or similarly high-security environments, along with strong organizational skills, sound judgment, and the ability to effectively engage with customers, executives, contractors, and operational teams. In this role, you will be responsible for maintaining site security standards, managing security incidents and investigations, supporting customer audits and site visits, overseeing vendor performance, and ensuring compliance with security policies and operational requirements. This position reports to the Security Operations Manager, requires full-time onsite presence in Kenilworth, NJ, and may provide support to other regional CoreWeave facilities as needed. In this role, you will: Site Security Operations Own physical security operations for the Kenilworth facility and scale the security program as the site grows. Manage the on-site contract guard force, including post orders, staffing, scheduling, performance management, vendor oversight, and accountability. Coordinate with campus security and property management teams on shared perimeter security, common areas, and campus-wide security protocols. Administer and enforce access control policies across multiple security layers, including perimeter gates, building entrances, interlocking vestibules, and data hall access, following the principle of least privilege. Oversee the operation, maintenance, and continuous improvement of physical security systems, including access control, video surveillance, intrusion detection, and alarm monitoring platforms. Receive and manage physical security and business-impacting event escalations, ensuring appropriate triage, stakeholder communication, and effective onsite response. Partner with the GSOC on alarm response, incident management, monitoring activities, and escalation procedures. Develop, maintain, and continuously improve site-specific security plans, post orders, standard operating procedures (SOPs), and emergency response procedures. Oversee visitor, vendor, and contractor access programs, including badging, escort requirements, and sign-in/sign-out processes. Track and report on key security metrics, incidents, trends, and operational performance indicators to support continuous improvement. Support security operations at other regional CoreWeave facilities as needed. Inspections, Audits equivalent professional experience will be considered. Preferred Experience in law enforcement, military, intelligence, corporate security, or other security-focused operational environments. Professional security certifications such as PSP, CPP, CPTED, or similar credentials. Experience administering leading physical security platforms such as Genetec, LenelS2, Axis, Milestone, or comparable systems. Experience supporting the launch, expansion, or scaling of security operations within new or rapidly growing facilities. Familiarity with data center operations and security-related compliance frameworks, including SOC 2, ISO 27001, and similar standards. Experience operating within shared-campus, multi-tenant, or high-security environments. Experience supporting GSOC operations, alarm monitoring, incident response, or security command center functions. Project management experience involving security system deployments, facility expansions, or operational improvement initiatives. Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love to lead and mentor a technical team to solve complex infrastructure challenges. You’re curious about the latest advancements in data center hardware and infrastructure management. You’re an expert in diagnosing and resolving critical hardware and network issues under pressure. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together The base salary range for this role is $79,000 to $102,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U. S. Government export regulations applicable to that information, applicant must either be (A) a U. S. person, defined as a (i) U. S. citizen or national, (ii) U. S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S. C. § 1157, or (iv) asylee under 8 U.S. C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U. S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.", "summaryDescription" : "Data Center Site Security Manager at CoreWeave. Skills: Physical security operations, Guard force management, Access control, Incident response. Own physical security operations. Scale security program", "postedDate" : "2026-06-13T22:26:01.917", "createdAt" : "2026-06-13T22:26:01.917", "lastUpdated" : "2026-06-15T03:47:35.209", "ingestTimestamp" : "2026-06-13T22:26:01.917", "mongoId" : "6a2c7cc074d8ee00a094e2e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Security metrics tracking", "Incident reporting", "Trend analysis", "Leadership", "Physical security operations", "Guard force management", "Access control", "Incident response", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Critical infrastructure protection", "Data center security", "High-security environments", "PSP", "CPP", "CPTED" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 601.6007, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305762f292fd229cf390d6", "title" : "Collection Manager", "company" : "Toss", "industry" : "FinTech", "salary" : { "min" : 6.5E7, "max" : 9.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Collection Manager in Seoul, South Korea, adjusted for the banking industry and company size." }, "location" : "Seoul, Seoul, South Korea", "locations" : [ "Seoul", "Seoul", "South Korea" ], "timestamp" : "2026-06-16T08:37:21.889", "fingerprint" : "3c76bb1850513c0599ccd712c85379d626012e1ff6679bada4c43ad391c05e37", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://toss.im/career/job-detail?gh_jid=7773277003", "externalId" : "7773277003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "state" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5534363,126.9697994" } ], "locationText" : "Seoul, Seoul, South Korea", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Data analysis", "Strategy planning", "Action item execution", "Recovery strategy", "Operational improvement", "Data analysis", "Strategy development", "Action item execution", "Recovery operations", "Operational improvement", "Data analysis", "Experimentation", "Collection management", "Innovation" ], "hardSkillsList" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Fee structure design", "level" : "intermediate" }, { "name" : "Recovery strategy design", "level" : "intermediate" }, { "name" : "Operational improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategy planning", "level" : "intermediate" }, { "name" : "Action item execution", "level" : "intermediate" }, { "name" : "Recovery operations management", "level" : "intermediate" }, { "name" : "Recovery efficiency improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Collection strategy, Outsourcing management, Recovery operations, Data analysis", "majorSkillsList" : [ "Collection strategy", "Outsourcing management", "Recovery operations", "Data analysis" ], "coreResponsibilities" : "Manage performance of collection outsourcing partners, Manage contracts with collection outsourcing partners, Operate and manage collection outsourcing business, Plan fee structures for outsourcing partners, Design and execute operational plans to increase recovery, Analyze delinquency and recovery performance metrics, Plan recovery strategies based on analysis, Execute action items for recovery strategies, Manage short-term recovery operations, Continuously improve outsourcing partner recovery efficiency, Innovate collection management through data analysis and experiments", "domainKnowledge" : "Post-loan management; Collection outsourcing; Fee structures; Recovery metrics; Regulatory changes; Personal debtor protection act; Personal business loan 119", "domainList" : [ "post-loan-management", "collection-outsourcing", "fee-structures", "recovery-metrics", "regulatory-changes", "personal-debtor-protection-act", "personal-business-loan-119" ], "domainSpecificKnowledge" : [ "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "communicationSkills" : "Stakeholder coordination", "problemSolvingSkills" : "Data analysis; Strategy development", "outcomesObjectives" : "Increase recovery rates; Improve outsourcing partner recovery efficiency; Innovate collection management", "qualificationsBasic" : "3+ years of experience in post-loan management in the financial sector, Experience operating collection outsourcing partners, Experience planning or changing fee structures, Experience changing operational methods, Domain knowledge of post-loan management policies and systems, High understanding of post-loan management, Ability to handle data proficiently, Ability to connect performance analysis to strategy development, Ability to proactively coordinate communication with various stakeholders", "qualificationsPreferred" : "Experience in write-offs, legal actions, or subrogation, Experience reflecting regulatory changes in collection operations, Communication experience with industry groups or regulatory authorities, Experience resolving internal discussion points", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "합류하게 될 팀에 대해 알려드려요 토스뱅크 Collection Manager는 Collection Tribe 내 Collection Strategy Team에 속하게 돼요. Collection Strategy Team은 NPL Management Team과 함께 토스뱅크의 여신 사후관리 업무를 담당해요. 그 중 Collection Strategy Team은 연체가 부실로 넘어가지 않도록 방어하고, 추심·회수 전략을 수립하여 명확한 액션아이템을 도출하는 역할을 맡고 있어요. 이번에 합류하실 분은 특히 채권추심 업무위탁사(위임사) 운영을 중심으로, 회수율을 높이기 위한 다양한 시도를 함께하실 분을 기대하고 있어요. 합류하면 함께할 업무예요 채권추심 업무위탁사(위임사)의 성과 관리, 계약 관리 등 채권추심 업무위탁 관련 업무 전반을 운영·관리해요. 위임사 수수료 체계(스킴)를 기획하고, 회수 성과를 높이기 위한 운영 방안을 설계·실행해요. 연체율 및 회수 관련 성과 지표를 분석하고, 분석 결과를 바탕으로 회수 전략을 기획하여 액션 아이템을 실행해요. 연체가 장기화되지 않도록 단기 회수 운영을 관리하며, 위임사의 회수 효율을 지속적으로 개선해요. 데이터 분석과 다양한 실험을 통해 기존 금융사의 관습과는 다른 채권관리의 혁신을 만들어요. 이런 분과 함께하고 싶어요 금융권에서 여신 사후관리 업무를 3년 이상 경험해오신 분을 찾고 있어요. 특히 채권추심 업무위탁사(위임사) 운영 경험이 있고, 수수료 스킴을 직접 기획하거나 운영 방식에 변화를 만들어본 경험이 있으신 분이 필요해요. 여신 사후관리 정책 및 제도에 대한 도메인 지식과 전문성을 갖춘 분이 필요해요. 사후관리 업무 전반에 대한 이해도가 높고, 데이터를 능숙하게 다루어 성과 분석과 전략 도출까지 연결할 수 있으면 좋아요. 다양한 이해관계자와의 커뮤니케이션을 주도적으로 조율할 수 있는 역량이 있으면 좋아요. 매상각·법조치·대위변제 등 사후관리 전반의 운영 경험이 있다면 좋아요. 이력서는 이렇게 작성하시는 걸 추천해요 채권추심 업무위탁(위임사) 운영 관련해서 회수 성과를 향상시킨 경험을 구체적으로 작성해주세요. 특히 수수료 스킴을 기획하거나 운영 방식에 변화를 준 사례가 있다면 꼭 담아주세요. 개인채무자보호법, 개인사업자대출119 등 제도 변화에 맞춰 채권추심이나 채권추심 업무위탁 등 실질적인 여신관리 업무에 이를 반영한 구체적인 경험을 작성해주세요. 그 과정에서 업권 단체 또는 감독 당국 등과 소통한 경험이나 내부 논의 과정에서 있었던 쟁점, 그리고 이를 어떻게 해결했는지가 드러나면 더욱 좋아요. 토스뱅크팀은 서류 내용의 구체성을 중요하게 생각해요. 기존 업무를 단순한 시계열로 나열하기보다는, JD를 기준으로 사례와 성과에 기반한 경험을 상세히 기재해주세요. 토스뱅크로의 합류 여정 서류접수 > 직무 인터뷰 > 문화적합성 인터뷰 > 레퍼런스 체크 > 처우협의 > 최종합격 및 입사 꼭 확인해주세요 이력서 및 제출 서류에 허위 사실이 발견되거나 근무 이력 중 징계사항이 확인될 경우, 채용이 취소될 수 있어요. 장애인 및 국가보훈대상자는 지원 시 관련법에 따라 우대하고 있어요. 토스뱅크 내부규정상 결격사유 해당자 또는 금융기관 인력 채용 상 결격사유 해당자는 채용이 취소될 수 있어요. 함께 할 동료를 위한 한마디 \"새로운 은행의 기반을 튼튼히 닦는 일에 임팩트있게 기여할 수 있어요.\" 토스뱅크는 중저신용 고객을 포용하여 새로운 은행을 만들고 있어요. 앞으로 토스뱅크의 대출이 더욱 다양해지고 늘어나더라도, 단단하게 운영할 수 있도록 하는 것이 저희의 가장 큰 목표예요. 이 목표 달성을 위해서 안정적인 연체율/회수율 관리에 자신 있는 동료를 기다리고 있으니 많은 지원과 관심 부탁드려요!", "summaryDescription" : "Collection Manager at Toss. Skills: Collection strategy, Outsourcing management, Recovery operations, Data analysis. Manage performance of collection outsourcing partners. Manage contracts with collection outsourcing partners", "postedDate" : "2026-06-15T23:29:25.135", "createdAt" : "2026-06-15T23:29:25.135", "lastUpdated" : "2026-06-16T08:37:21.889", "ingestTimestamp" : "2026-06-15T23:29:25.135", "mongoId" : "6a305762f292fd229cf390d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Fee structure design", "Recovery strategy design", "Operational improvement", "Data analysis", "Strategy planning", "Action item execution", "Recovery operations management", "Recovery efficiency improvement", "Experimentation", "Collection strategy", "Outsourcing management", "Recovery operations", "Performance management", "Contract management", "Fee structure planning", "Operational planning", "Recovery strategy", "Strategy development", "Collection management", "Innovation", "Post-loan management", "Collection outsourcing", "Fee structures", "Recovery metrics", "Regulatory changes", "Personal debtor protection act", "Personal business loan 119" ], "skillCount" : 28, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 600.40765, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e34c40e2acd1b997d7", "title" : "Investigation Specialist", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Specialist in Hyderabad, India, adjusted for mid-seniority and e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:59:59.262", "fingerprint" : "a24409130ad7ef06920fa33a5684b755bcd49e870c8a4e27f3b5e86b8883a6e4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413341/apply", "externalId" : "e4278e43-36b2-48e1-a6a0-97aa08cacb4f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Ecommerce payments", "Trust and safety", "Customer-driven workplace" ], "hardSkillsList" : [ "Transaction authentication" ], "softSkillsList" : [ "Analytical", "Individual problem-solving", "Judgment" ], "hardSkills" : [ { "name" : "Transaction authentication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Individual problem-solving" }, { "name" : "Judgment" } ], "majorSkills" : "Risk Management, Investigation, Ecommerce risk", "majorSkillsList" : [ "Risk Management", "Investigation", "Ecommerce risk" ], "coreResponsibilities" : "Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets and quality", "teamCollaboration" : "Department management; Risk analysts; Risk engineers; Company associates", "domainKnowledge" : "Online ecommerce risk; Ecommerce payments; Trust and safety", "domainList" : [ "online-ecommerce-risk", "ecommerce-payments", "trust-and-safety" ], "domainSpecificKnowledge" : [ "Online ecommerce risk", "Ecommerce payments", "Trust and safety" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Written communication; Verbal communication; Interpersonal skills", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Problem solving; Analytical skills; Logical analysis", "specialRequirements" : "Seasonal role (FTC) for 12 months", "outcomesObjectives" : "Elimination of online ecommerce risk; Fulfills department standards for time spent; Productivity and quality assurance", "qualificationsBasic" : "Bachelor's degree, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays, Experience in payments or e-commerce", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "***Please note that this job role is a seasonal role (FTC) for 12 months on the payroll of Amazon*** Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Risk Management Team. Candidates will be responsible for a wide range of duties related to the investigation and Elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. The position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Position will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Basic Qualifications . Candidate must hold a bachelor's degree . Speak, write, and read fluently in English . Experience with Microsoft Office products and applications . Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays . Experience in payments or e-commerce Communication Skills • Excellent written and spoken English skills and an ability to compose a grammatically correct, concise and accurate written response • Excellent interpersonal skills, with the ability to communicate complex transactional issues correctly and clearly to both internal and external customers Problem Solving Skills • Demonstrated ability to work independently and make complex investigation decisions with little to no guidance • Excellent problem solving skills • Demonstrated ability to analyze problems logically • Self disciplined, diligent, proactive and detail oriented • Strong time management and organizational skills • Effectively prioritizes work time to ensure productivity and fulfills department standards for time spent • Excellent ability to determine situational needs and provide appropriate solutions Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Experience with Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Experience in payments or e-commerce Preferred Qualifications: - Speak, write, and read fluently in English 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" : "Investigation Specialist at Amazon Dev Center India. Skills: Risk Management, Investigation, Ecommerce risk. Research and evaluate facts surrounding seller transactions. Take appropriate action on investigated transactions", "postedDate" : "2026-06-13T04:38:30.465", "createdAt" : "2026-06-13T04:38:30.465", "lastUpdated" : "2026-06-15T01:59:59.262", "ingestTimestamp" : "2026-06-13T04:38:30.465", "mongoId" : "69fda4e34c40e2acd1b997d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413341/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Transaction authentication", "Analytical", "Individual problem-solving", "Judgment", "Risk Management", "Investigation", "Ecommerce risk", "Ecommerce payments", "Trust and safety", "Customer-driven workplace", "Online ecommerce risk", "Microsoft Office" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 599.4013, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a719bc74574cbbb3aca", "title" : "Investigation Specialist (QA), Relay Product Excellence", "company" : "ADCI", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 650000.0, "max" : 1050000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Investigation Specialist in E-Commerce in Bengaluru, India, adjusted for company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:04:04.935", "fingerprint" : "5e2374c36179ad081450e3de4381b2a5eb9b55139f53b2d91b55250c0e73faa3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3196785/apply", "externalId" : "57281a8e-6137-47cf-bb27-9f79a4b31ec2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk management", "Data analysis", "Problem resolution" ], "majorSkills" : "Investigation, Data analysis, Risk management", "majorSkillsList" : [ "Investigation", "Data analysis", "Risk management" ], "coreResponsibilities" : "Provide data analysis, Conduct investigations, Pull data from databases, Perform ad hoc reporting, Perform ad hoc analysis, Take appropriate action to minimize risk, Identify fraud or abuse patterns, Identify fraud or abuse trends, Achieve weekly targets, Achieve quality standards, Identify root causes of defects, Drive efficiency in transportation operations, Understand business impact of trends, Make decisions based on data, Systematically escalate problems, Systematically escalate variance, Follow through on resolutions, Ensure resolutions are delivered, Work within time constraints, Meet critical business needs, Measure activities performed, Identify activities performed, Create narrative outlining findings, Create narrative outlining variances, Present findings in review forum, Participate in ad-hoc projects, Participate in ad-hoc assignments, Meet productivity metrics, Meet quality metrics, Meet hygiene metrics, Identify opportunities to Invent, Identify opportunities to Simplify processes, Deliver quicker with higher standards, Define SOPs, Document new methods of abuse, Document new methods of frauds, Partner with stakeholder teams, Drive gaps to closure", "teamCollaboration" : "Work with stakeholders; Partner with stakeholder teams", "domainKnowledge" : "Transportation operations; Identity verification; Fraud patterns; Abuse patterns", "domainList" : [ "transportation-operations", "identity-verification", "fraud-patterns", "abuse-patterns" ], "domainSpecificKnowledge" : [ "Transportation operations", "Identity verification", "Fraud patterns", "Abuse patterns" ], "toolProficiency" : [ "Excel", "Access" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document new methods", "innovationCreativity" : "Invent and Simplify processes", "problemSolvingSkills" : "Data driven problem resolution; Root-cause analyses", "specialRequirements" : "Rotational shifts, 24*7 shift environment, Rotational weekly off", "outcomesObjectives" : "Consistently achieve weekly targets; Achieve quality standards for investigations", "qualificationsBasic" : "1+ years of customer service experience, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Work a flexible schedule/shift/work area, Experience in payments or e-commerce", "qualificationsPreferred" : "Analyze basic case level inputs, Identify predictors/causes of business related problems, Take appropriate action to identify and help minimize risk, Identify patterns from investigations and data analysis, Highlight areas of opportunity to managers, Provide data analysis, Conduct complex investigations, Review investigations, Identify and eliminate root causes of defects, Share insights from investigations and audits, Collaborate with multiple resources, Carry out basic analyses, Ability to do root-cause analyses, Knowledge of 7QC tools, Knowledge of quality management methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a Investigation Specialist that has a background in transportation, risk management and data driven problem resolution skills. In this role the Investigation Specialist will continuously work with stakeholders to build trust-based relationships in order to investigate suspicious activity and address escalations while creating long-term, systemic solutions for a world-class customer experience. In this role, the Investigation Specialist will be responsible for a wide range of duties related to identity verification. • Shifts: Rotational (24*7 shift environment - changes based on business requirement) • Weekly Off: Rotational two consecutive days off (5-day working week) • Work from Office Role Key job responsibilities - Provide data analysis & conduct investigations - Pull data from numerous databases (using Excel,Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed - Take appropriate action to identify and help - minimize the risk posed by fraud or abuse patterns and trends - Consistently achieve weekly targets and quality standards for investigations - Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations - Understand the business impact of the trends and make decisions that make sense based on available data - Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams - Experience to follow through on the resolutions to ensure they are delivered - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed - Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum - Participate in ad-hoc projects and assignments as necessary A day in the life - Meet productivity, quality and other hygiene metrics/ goals - Identify opportunities to Invent and Simplify processes, and deliver quicker with higher standards of accuracy - Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure Basic Qualifications: - 1+ years of customer service experience - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Experience in payments or e-commerce Preferred Qualifications: - - Analyze basic case level inputs and identify predictors/causes of business related problems - - Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends through data analysis and investigations - - Identify patterns from investigations and data analysis to uncover areas of opportunity and highlight the same to managers - - Provide data analysis, conduct complex investigations and review investigations - - Identify and eliminate root causes of defects in order to drive efficiency in operations by sharing insights from investigations and audits performed - - Collaborate with multiple resources as per need and carry out basic analyses to help ensure efficiency and effectiveness of programs - - Ability to do root-cause analyses within the space subject to availability of data - - Knowledge of 7QC (Seven Quality Control) tools and quality management methodologies 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" : "Investigation Specialist (QA), Relay Product Excellence at ADCI. Skills: Investigation, Data analysis, Risk management. Provide data analysis. Conduct investigations", "postedDate" : "2026-06-13T12:33:59.644", "createdAt" : "2026-06-13T12:33:59.644", "lastUpdated" : "2026-06-15T06:04:04.935", "ingestTimestamp" : "2026-06-13T12:33:59.644", "mongoId" : "69c94a719bc74574cbbb3aca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3196785/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Investigation", "Data analysis", "Risk management", "Problem resolution", "Transportation operations", "Identity verification", "Fraud patterns", "Abuse patterns", "Excel", "Access" ], "skillCount" : 10, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 598.7609, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3050d0f292fd229cef5b07", "title" : "Director/Site Manager, Daleville, VA - Data Center", "company" : "WORLD WIDE PROFESSIONAL SOLUTIONS", "industry" : "Project Management", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director/Site Manager in the Construction industry in Daleville, VA, USA, adjusted for seniority and company size." }, "location" : "Daleville, VA", "locations" : [ "Daleville, VA", "Roanoke, VA" ], "timestamp" : "2026-06-16T14:59:56.674", "fingerprint" : "d764d8f2974f234b46f11790e606f6c8edc1adbdbc3da606a28405b8d97e417a", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/wwprosolutions/12559f90-0ca7-45c7-a71e-c0a8e015bf5c/apply", "externalId" : "12559f90-0ca7-45c7-a71e-c0a8e015bf5c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Daleville", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4093425,-79.9204774" } ], "locationText" : "Daleville, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "professionalSkills" : [ "Operations management", "Budget management", "Team leadership", "Process improvement", "Vendor management", "Stakeholder management", "Resource planning", "Performance metrics" ], "hardSkillsList" : [ "Budget forecasting", "Operational reporting", "Performance analysis" ], "hardSkills" : [ { "name" : "Budget forecasting", "level" : "intermediate" }, { "name" : "Operational reporting", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "majorSkills" : "Operations management, Process improvement, Team leadership", "majorSkillsList" : [ "Operations management", "Process improvement", "Team leadership" ], "coreResponsibilities" : "Oversee daily operations, Manage operational budgets, Lead and develop operational teams, Implement process improvements, Ensure operational efficiency, Monitor operational performance metrics, Manage vendor relationships, Collaborate with cross-functional teams, Develop and execute operational strategies, Ensure compliance with regulations", "teamCollaboration" : "Cross-functional teams; Vendor relationships; Stakeholder engagement", "projectManagementSkills" : [ "Process improvement methodologies" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting operational issues", "outcomesObjectives" : "Improve operational efficiency; Achieve budget targets; Enhance team performance; Meet regulatory compliance", "qualificationsBasic" : "5+ years of experience in operations management, Experience managing budgets, Experience managing teams, Experience with process improvement methodologies", "qualificationsPreferred" : "Master's degree in Business Administration or related field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description WORLD WIDE PROFESSIONAL SOLUTIONS is a project solutions organization committed to implementing lean constructions, collaborative contracting, and execution approaches to enable breakthroughs in performance. WWPS is seeking a Director / Site Manager to lead site execution for a large-scale, mission critical data center construction project. This is a full-time, 100% onsite role based in Daleville, VA – near Roanoke, VA supporting a multi-project campus environment. This individual will serve as the on-site leader for the Owner’s Representative team, with full responsibility for delivery across multiple concurrent projects on the campus. This is a leadership role with full ownership and accountability of safety, quality, schedule, cost, and risk across the site. The Site Manager operates as the WWPS leader on site, managing a team of Project Managers, Construction Managers, Project Coordinators, and BIM/VDC resources. This role is accountable for overall project success at the campus level, acting as the primary interface between the client, general contractors, trade partners, and key stakeholders. Wherever you are based, we provide full relocation or travel support including per diem, ensuring a smooth transition so you can hit the ground running from day one. Key Responsibilities Provide full site leadership for all phases of construction across multiple projects on the campus Lead and manage the on-site Owner’s Representative team, including PMs, CMs, Project Coordinators, and BIM/VDC resources Act as the primary representative of the client with general contractors, trade partners, and suppliers Drive performance across safety, quality, schedule, cost, and risk mitigation Oversee project planning, execution strategy, and resource alignment across all site activities Ensure coordination across disciplines including civil, structural, mechanical, electrical, plumbing, and controls Lead site-level decision making, issue resolution, and escalation management Monitor project progress, enforce accountability, and implement corrective actions as needed Champion Lean Construction principles to improve efficiency and reduce waste Ensure compliance with all safety standards, codes, and project requirements Oversee commissioning, turnover, and startup activities across multiple projects Provide consistent executive-level reporting on site performance, risks, and milestones Build and maintain strong relationships with stakeholders across the project ecosystem Qualifications 15+ years of progressive experience in construction project management Proven experience leading large-scale, mission-critical or advanced manufacturing projects Prior experience in a site leadership role overseeing multiple projects or a campus environment Strong background in MEP systems, critical infrastructure, and complex construction coordination Demonstrated success managing large teams and multi-contractor environments Experience with projects exceeding $500M+ preferred Strong leadership, communication, and decision-making skills Proficiency with tools such as Procore, Primavera P6, or MS Project Deep understanding of Safety, QA/QC, and construction best practices Preferred Background Data center, semiconductor, or advanced manufacturing construction Experience in Owner’s Representative or EPC/EPCM environments Bachelor’s degree in Construction Management, Engineering, or related field PMP or equivalent certification preferred LEED, CxA, or similar credentials are a plus Location & Travel 100% onsite role Relocation and mobilization assistance available Per diem available for non-local candidates Why Join WWPS This is a full-time, direct employment opportunity with Worldwide Professional Solutions. We offer a comprehensive benefits package. Benefits Medical, dental, and vision insurance Life insurance Short-term and long-term disability coverage 401(k) with company match Paid holidays and paid time off ## Additional Information This is a full-time position for World Wide Professional Solutions. We offer excellent benefits including medical, dental, vision, life, short term disability, long term disability, and a company match retirement plan. All benefits begin the first of the month following your start date. World Wide Professional Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.", "summaryDescription" : "Director/Site Manager, Daleville, VA - Data Center at WORLD WIDE PROFESSIONAL SOLUTIONS. Skills: Operations management, Process improvement, Team leadership. Oversee daily operations. Manage operational budgets", "postedDate" : "2026-06-15T18:02:15.949", "createdAt" : "2026-06-15T18:02:15.949", "lastUpdated" : "2026-06-16T14:59:56.674", "ingestTimestamp" : "2026-06-16T03:20:11.318", "mongoId" : "6a3050d0f292fd229cef5b07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Budget forecasting", "Operational reporting", "Performance analysis", "Operations management", "Process improvement", "Team leadership", "Budget management", "Vendor management", "Stakeholder management", "Resource planning", "Performance metrics", "Process improvement methodologies" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 593.7011, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "69164d9a70f0b99d586f2e2f", "title" : "Investigation Specialist", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 750000.0, "max" : 1100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Investigation Specialist in E-commerce in Hyderabad, India, adjusted for Amazon's size and industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:12:12.079", "fingerprint" : "98215057a96ad0eb8a622c519ab12363f2d2ead9872f25c57e373a4fc14e5c92", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3118601/apply", "externalId" : "bc2f43f0-d459-4d7c-9f5d-cdb39cb24265", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Transaction risk management", "eCommerce risk investigation", "Trust and safety" ], "hardSkillsList" : [ "Customer service", "Microsoft Office", "Payments experience", "E-commerce experience" ], "softSkillsList" : [ "Analytical", "Judgement", "Problem-solving", "Diligence", "Time management", "Organization" ], "hardSkills" : [ { "name" : "Customer service", "level" : "intermediate" }, { "name" : "Microsoft Office", "level" : "intermediate" }, { "name" : "Payments experience", "level" : "intermediate" }, { "name" : "E-commerce experience", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Judgement" }, { "name" : "Problem-solving" }, { "name" : "Diligence" }, { "name" : "Time management" }, { "name" : "Organization" } ], "majorSkills" : "Risk investigation, Transaction analysis, Customer service", "majorSkillsList" : [ "Risk investigation", "Transaction analysis", "Customer service" ], "coreResponsibilities" : "Investigate and eliminate online eCommerce risk, Authenticate customers, Authenticate complex transactions, Communicate with department management, Communicate with risk analysts, Communicate with risk engineers, Communicate with company associates, Communicate with third-party, Contact customers by phone", "teamCollaboration" : "Fast-paced team environment; Cross-functional communication", "domainKnowledge" : "eCommerce payments; Online eCommerce risk", "domainList" : [ "ecommerce-payments", "online-ecommerce-risk" ], "domainSpecificKnowledge" : [ "eCommerce payments", "Online eCommerce risk" ], "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Written English skills; Spoken English skills; Interpersonal skills; Verbal communication; Written communication", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Analyse problems logically; Independent decision making", "outcomesObjectives" : "Achieve high accuracy; Fulfill department standards", "qualificationsBasic" : "1+ years of customer service experience, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Experience in payments or e-commerce", "qualificationsPreferred" : "Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Hyderabad. Candidates will be responsible for a wide range of duties related to the investigation and Elimination of online eCommerce risk. Ideal applicants will have experience in the eCommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. The Transaction Risk Investigator position relies on excellent judgement to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates and third-party to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. · Basic Qualifications Communication Skills • Excellent written and spoken English skills and an ability to compose a grammatically correct, concise and accurate written response • Excellent interpersonal skills, with the ability to communicate complex transaction issues correctly and clearly to both internal and external customers Problem Solving Skills • Demonstrated ability to work independently and make complex investigation decisions with little to no guidance • Excellent problem solving skills • Demonstrated ability to analyse problems logically • Self disciplined, diligent, proactive and detail oriented • Strong time management and organizational skills • Effectively prioritize work time to ensure productivity and fulfills department standards for time spent • Excellent ability to determine situational needs and provide appropriate solutions Basic Qualifications: - 1+ years of customer service experience - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience in payments or e-commerce Preferred Qualifications: - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays 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" : "Investigation Specialist at Amazon Dev Center India. Skills: Risk investigation, Transaction analysis, Customer service. Investigate and eliminate online eCommerce risk. Authenticate customers", "postedDate" : "2026-06-13T00:15:03.001", "createdAt" : "2026-06-13T00:15:03.001", "lastUpdated" : "2026-06-15T02:12:12.079", "ingestTimestamp" : "2026-06-13T00:15:03.001", "mongoId" : "69164d9a70f0b99d586f2e2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3118601/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Customer service", "Microsoft Office", "Payments experience", "E-commerce experience", "Analytical", "Judgement", "Problem-solving", "Diligence", "Time management", "Organization", "Risk investigation", "Transaction analysis", "Transaction risk management", "eCommerce risk investigation", "Trust and safety", "eCommerce payments", "Online eCommerce risk" ], "skillCount" : 17, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 588.94604, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a210e8a74d8ee00a0af81d9", "title" : "Financial Investigations Accountant", "industry" : "FinTech", "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "certifications" : [ "CFA", "CPA", "ACAMS" ], "timestamp" : "2026-06-16T12:01:22.008", "fingerprint" : "31eea4ee9bcaae4f633690ad78b12e70940e19d0939854ae67dccd1717aa1ce6", "source" : "google", "language" : "en", "externalId" : "131556995713901254", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Financial investigations", "Data analysis", "Reporting" ], "hardSkillsList" : [ "Statistical analysis", "Data modeling", "Forensic accounting" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Forensic accounting", "level" : "intermediate" } ], "majorSkills" : "Financial investigations, Data analysis, SQL", "majorSkillsList" : [ "Financial investigations", "Data analysis", "SQL" ], "coreResponsibilities" : "Investigate financial discrepancies, Analyze financial data, Prepare detailed reports, Collaborate with legal teams, Ensure regulatory compliance, Develop data models, Automate data processes", "teamCollaboration" : "Cross-functional teams; Legal departments; Compliance officers", "domainKnowledge" : "Financial regulations; Anti-money laundering; Fraud detection", "domainList" : [ "financial-regulations", "anti-money-laundering", "fraud-detection" ], "domainSpecificKnowledge" : [ "Financial regulations", "Anti-money laundering", "Fraud detection" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Technical documentation; Audit trails", "problemSolvingSkills" : "Root cause analysis; Analytical thinking", "outcomesObjectives" : "Identify and report financial fraud; Improve data accuracy; Enhance compliance procedures", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "CFA or CPA required, 5 years financial modeling", "summaryDescription" : "Financial Investigations Accountant. Skills: Financial investigations, Data analysis, SQL. Investigate financial discrepancies. Analyze financial data", "postedDate" : "2026-06-16T01:52:20.501", "createdAt" : "2026-06-16T01:52:20.501", "lastUpdated" : "2026-06-16T12:01:22.008", "ingestTimestamp" : "2026-06-16T01:52:20.501", "mongoId" : "6a210e8a74d8ee00a0af81d9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data modeling", "Forensic accounting", "Financial investigations", "Data analysis", "SQL", "Reporting", "Financial regulations", "Anti-money laundering", "Fraud detection", "CFA", "CPA", "ACAMS", "Tableau", "Power BI", "Looker" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 587.1004, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.0 }, { "id" : "68d54a5ace260f92cbd2ec17", "title" : "Fraud Investigation Analyst", "company" : "Amazon Web Services Development Center Germany GmbH", "industry" : "Investigation Loss Prevention, Planning/Development, Cloud Computing", "salary" : { "min" : 52000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Fraud Investigation Analyst in Berlin, Germany, with adjustments for the technology industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T05:27:33.747", "fingerprint" : "478b130a02e182898062b8e2d45d35139473c17769c73d0994bc47fcdb78e061", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077434/apply", "externalId" : "30a0bd95-27e3-4ed8-a815-b8e9756c57a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Excel, VBA, Quicksight", "professionalSkills" : [ "Fraud investigation", "Business analysis", "Financial analysis" ], "hardSkillsList" : [ "Statistical analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Fraud detection, Data analysis", "majorSkillsList" : [ "Fraud detection", "Data analysis" ], "coreResponsibilities" : "Monitor fraud trends, Deep dive on fraud activity, Identify new fraud patterns, Take actions to improve efficiency, Reduce time to identify fraud, Use statistical analysis, Segment customer behavior, Develop targeted solutions, Prevent sophisticated fraud activity, Report on daily fraud trends, Report on cluster characteristics, Perform deep dives, Write fraud summaries, Analyze emerging fraud Modus Operandis, Design mitigation actions, Communicate mitigation actions, Partner with Data Scientists, Build long-term counter protections, Lead special projects, Contribute on special projects, Reduce fraud related losses, Maintain focus on customer experience, Design operational best practices, Influence operational best practices, Work with cross-functional teams, Collaborate on fraud risks, Collaborate on preventative measures, Mitigate fraud risk, Work with stakeholders, Drive process improvements", "teamCollaboration" : "Cross-functional teams; Data Scientists; Program Managers", "domainKnowledge" : "AWS platform; Account compromise fraud; Cloud industry fraud", "domainList" : [ "aws-platform", "account-compromise-fraud", "cloud-industry-fraud" ], "domainSpecificKnowledge" : [ "AWS platform", "Account compromise fraud", "Cloud industry fraud" ], "toolProficiency" : [ "Excel", "VBA", "Pivot tables", "Array functions", "Power pivots", "Quicksight" ], "documentationSkills" : "Write summaries", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Business or financial analysis experience, Bachelor's degree or equivalent, Experience with SQL, Experience making business recommendations, Experience influencing stakeholders, Experience in Excel, Experience with data visualization tools, National of an EU member state", "qualificationsPreferred" : "Experience with large scale databases, Experience with relational data set solutions, Ability to work in a fast-paced environment, Ability to prioritize responsibilities, Ability to manage multiple responsibilities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to join the team that protects the global AWS platform from fraud? Are you looking to solve exciting fraud challenges in the cloud? Do you want to work on a Cloud business that is growing multiple fold annually? Do you enjoy thinking like a fraudster and using your technical skills to help detect & mitigate AWS accounts from causing damage on our platform? If so, Amazon Web Services (AWS) Fraud Prevention has an exciting opportunity for you. AWS is the leading cloud services provider, offering both the largest amount of services and the biggest amount of features within those services. These services range from infrastructure technologies like Compute, Storage, and Databases, to emerging technologies, such as Machine Learning and Artificial Intelligence, Data Lakes and Analytics, and Internet of Things. AWS Platform Experience is the glue that holds the AWS ecosystem together. Whether it’s Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform Experience is always innovating with the customer in mind. Each day, hundreds of thousands of customers make billions of transactions worldwide on our cloud. However, there are always actors trying to gain unauthorized access to legitimate customers accounts for their personal benefit. The mission of the AWS Fraud Prevention Team is to keep the AWS platform a safe and trusted place for our customers and partners. We achieve this goal by identifying and preventing fraud for all AWS services, worldwide. Every day fraudsters attempt to steal our services. We use extensive data and machine learning models to build software solutions to detect and prevent such activities. The AWS Fraud Prevention Compromise team is responsible for preventing, detecting and mitigating AWS account compromise. You’ll be part of a team that consists of Data Scientists, Data Analysts and Program Managers. Our team’s mission is to protect AWS and its customers from the damage arising from compromise fraud. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Key job responsibilities As a Fraud Investigation Analyst, you will work closely with Data Scientists to monitor the fraud trends on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping under a tight control the issues impacting the Cloud industry to ensure AWS is leading the curve in identifying, mitigating and preventing fraud attacks. As a Business Analyst your responsibilities will include: - Identify new and emerging patterns of compromise fraud and proactively take actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures. - Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity. - Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries. - Analyze emerging fraud Modus Operandis, design mitigation actions and communicate it to the larger fraud community. Partner with Data Scientists to build long-term counter protections. - Lead and contribute on special projects which reduce fraud related losses, while maintaining focus on a positive customer experience. - Design and influence operational best practices within the AWS Fraud Prevention Compromise team. - Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk. - Work with stakeholders to drive process improvements that will impact internal and external customers. Basic Qualifications: - Experience in business or financial analysis - Bachelor's degree or equivalent - Experience with SQL - Experience making business recommendations and influencing stakeholders - Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Quicksight. - This role requires you to be a national of an EU member state. Preferred Qualifications: - Experience working with large scale databases and relational data set solutions. - Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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" : "Fraud Investigation Analyst at Amazon Web Services Development Center Germany GmbH. Skills: Fraud detection, Data analysis. Monitor fraud trends. 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"Baseball Operations", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level part-time position in the sports industry, adjusted for the San Francisco Bay Area." }, "location" : "Papago, AZ", "locations" : [ "Papago, AZ" ], "timestamp" : "2026-06-16T13:01:24.144", "fingerprint" : "6ce798d7618a0d56e254d3c5ffd15b61a1658ff383983721b414624869cfeff5", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/sfgiants/f855f7a0-9521-4aaa-b61a-968e30ce5d97/apply", "externalId" : "f855f7a0-9521-4aaa-b61a-968e30ce5d97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Papago", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1042115,-113.1390708" } ], "locationText" : "Papago, Arizona, United States", "employmentType" : "PART_TIME", "hardSkillsList" : [ "Interpretation", "Translation" ], "hardSkills" : [ { "name" : "Interpretation", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" } ], "majorSkills" : "Mandarin interpretation, English interpretation, Player development support", "majorSkillsList" : [ "Mandarin interpretation", "English interpretation", "Player development support" ], "coreResponsibilities" : "Provide interpretation and translation services, Accompany players to outside appointments, Assist with player paperwork, Assist with documentation, Assist with company card reconciliation, Assist in basic on-field activities, Assist teachers in planning, Assist teachers in implementation, Assist teachers in evaluation, Contribute to education curriculum development, Educate players and staff on cultural differences, Assist with travel logistics, Assist with hotel reservations, Assist with appointments for events, Assist in compiling schedules, Assist in updating rosters, Assist in updating databases, Communicate with staff regarding daily needs, Communicate with staff regarding scheduling, Work effectively with diverse individuals, Provide support to clubhouse staff, Assist with mailing and distribution, Assist with ordering office supplies, Assist with coordinating office equipment repairs, Maintain storage spaces at facilities, Assist with transportation, Aid in management of Trello, Aid in management of Contact List, Aid in management of schedules, Assist with miscellaneous tasks, Assist with ad hoc tasks", "teamCollaboration" : "Work effectively with individuals; Contribute to a team culture", "domainKnowledge" : "Baseball; Player development", "domainList" : [ "baseball", "player-development" ], "domainSpecificKnowledge" : [ "Baseball", "Player development" ], "toolProficiency" : [ "Google Drive", "Trello", "Microsoft Excel", "SQL" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Player paperwork; Documentation", "innovationCreativity" : "Creative recommendations", "specialRequirements" : "Willingness to work non-traditional hours, Ability to provide transportation support", "qualificationsBasic" : "Native or professional fluency in Mandarin and English, Ability to accurately interpret and translate baseball-related information, Valid driver's license", "qualificationsPreferred" : "Former baseball playing, coaching, or training experience, Fluency in Spanish, Proficiency with Google Drive, Proficiency with Trello, Proficiency with Microsoft Excel, Proficiency with SQL", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Position: Assistant, Player Development – Mandarin Interpreter Department: Baseball Department Duration: June 2026 – October 2026 Status: Hourly (non-exempt) Position Summary: The San Francisco Giants are seeking an Assistant, Player Development – Mandarin Interpreter to join the Baseball Operations Department. This position provides comprehensive support across multiple areas of Player Development. Within Player Education, responsibilities include Mandarin-English interpreting and translating, supporting cultural education, aiding in classroom material preparation, and facilitating educational programming. This role also assists the San Francisco Giants Player Development Department with player paperwork, documentation, appointments, transportation logistics, and other miscellaneous projects that support the daily administrative needs of the department. Additionally, this position may be asked to actively support the on-field coaching staff, including assisting with drills, playing catch, feeding machines, hitting fungos, and helping create a productive training environment when interpretation is not actively needed. Due to the nature of this position, relocation may be necessary should player(s) requiring interpreting services move within the minor leagues. This role is tied to organizational interpreting needs and may be reviewed if those needs change during the employment period. We value candidates who have a passion and understanding of the game of baseball while also being a detail-oriented team player. Position Responsibilities: Translation & Interpretation Provide accurate interpretation and translation services of Mandarin for players and staff in baseball and non-baseball social and informational settings, including but not limited to on-field, off-field, cages, training room, classroom, and clubhouse. Schedule and accompany players to outside appointments as needed. Assist with player paperwork, documents, company card reconciliation and other administrative tasks, as needed. Baseball Activity Support Provide support for on-field coaching staff when needed by being available to assist in basic on-field activities such as playing catch, feeding machines, hitting fungos, and supporting drill work. Education Assist teachers in the planning, implementation, and evaluation of players, as needed. Contribute to the development of the education curriculum by providing creative, appropriate and educationally enriching activity recommendations. Educate players and staff on cultural differences to support communication, understanding, and player integration. Administrative & Logistics Assist with travel logistics, hotel reservations, and appointments for various events. Assist in compiling and updating schedules, rosters, and databases for Player Development. Regular communication with staff regarding daily needs/scheduling. Work effectively with individuals of diverse educational, socio-economic, and cultural backgrounds. Provide support to the clubhouse staff, including assistance with mailing and distribution, ordering office supplies, coordinating office equipment repairs, and maintaining storage spaces at the facilities. Assist with transportation as needed (airport pick-up/drop-offs and appointments related to Social Security, banking, visas or travel documents) Aid in the management of Trello, Contact List, and schedules. Assist with miscellaneous and ad hoc tasks as needed. Skills and Qualifications: Native or professional fluency in Mandarin and English Ability to accurately interpret and translate baseball-related information between Mandarin and English on and off the field Former baseball playing, coaching, or training experience preferred Fluency in Spanish is a plus Proficiency with Google Drive, Trello, and Microsoft Excel is preferred. Proficiency with SQL is a plus. Strong work ethic, initiative, attention to detail, and ability to manage multiple priorities Excellent written and verbal communication skills Ability to handle confidential and sensitive information in a professional manner Willingness to work non-traditional hours, including nights, weekends, and holidays, as needed Ability to communicate effectively and build positive working relationships with players, coaches, staff, and affiliate front office personnel Positive attitude and commitment to contributing to a strong team culture Valid driver’s license and ability to provide transportation support as needed At the Giants, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.", "summaryDescription" : "Assistant, Player Development – Mandarin Interpreter at San Francisco Giants. Skills: Mandarin interpretation, English interpretation, Player development support. Provide interpretation and translation services. 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Partner with stakeholder teams", "domainKnowledge" : "Transportation operations; Fraud patterns; Abuse patterns", "domainList" : [ "transportation-operations", "fraud-patterns", "abuse-patterns" ], "domainSpecificKnowledge" : [ "Transportation operations", "Fraud patterns", "Abuse patterns" ], "toolProficiency" : [ "Excel", "Access", "SQL" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document new methods", "innovationCreativity" : "Invent and Simplify processes", "problemSolvingSkills" : "Data driven problem resolution; Root cause analysis", "specialRequirements" : "Rotational shifts, 24*7 shift environment, Rotational two consecutive days off", "outcomesObjectives" : "Create long-term solutions; Create systemic solutions; Deliver quicker with higher standards of accuracy", "qualificationsBasic" : "Bachelor's degree or equivalent, 10-24 months of work experience in audit, compliance, risk management and investigations, Good communication skills, Proficiency in Excel (pivot tables, VLOOKUP), Ability to pull data from numerous databases, Demonstrated ability to work in a team, Ability to follow Standard Operating Procedures (SOPs)", "qualificationsPreferred" : "Analyze basic case level inputs, Identify predictors/causes of business related problems, Take appropriate action to identify and help minimize risk, Identify patterns from investigations and data analysis, Provide data analysis, Conduct complex investigations, Review investigations, Identify and eliminate root causes of defects, Share insights from investigations and audits, Collaborate with multiple resources, Carry out basic analyses, Ability to do root-cause analyses, Knowledge of 7QC tools, Knowledge of quality management methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a Investigation Specialist that has a background in transportation, risk management and data driven problem resolution skills. In this role the Investigation Specialist will continuously work with stakeholders to build trust-based relationships in order to investigate suspicious activity and address escalations while creating long-term, systemic solutions for a world-class customer experience. In this role, the Investigation Specialist will be responsible for a wide range of duties related to identity verification. • Shifts: Rotational (24*7 shift environment - changes based on business requirement) • Weekly Off: Rotational two consecutive days off (5-day working week) • Work from Office Role Key job responsibilities - Provide data analysis & conduct investigations - Pull data from numerous databases (using Excel,Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed - Take appropriate action to identify and help - minimize the risk posed by fraud or abuse patterns and trends - Consistently achieve weekly targets and quality standards for investigations - Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations - Understand the business impact of the trends and make decisions that make sense based on available data - Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams - Experience to follow through on the resolutions to ensure they are delivered - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed - Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum - Participate in ad-hoc projects and assignments as necessary A day in the life - Meet productivity, quality and other hygiene metrics/ goals - Identify opportunities to Invent and Simplify processes, and deliver quicker with higher standards of accuracy - Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure Basic Qualifications: - Bachelor's degree or equivalent - 10-24 months of work experience in audit, compliance, risk management and investigations - Good communication skills - should be able to facilitate flow of information between teams internal/external - Proficiency in Excel (pivot tables, VLOOKUP) and ability to pull data from numerous databases (using Excel, SQL and/or other database tools) to perform ad hoc reporting and analysis as needed - Demonstrated ability to work in a team in a very dynamic environment - Ability to follow Standard Operating Procedures (SOPs) to perform manual audits and resolve outliers/exceptions Preferred Qualifications: - Analyze basic case level inputs and identify predictors/causes of business related problems - Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends through data analysis and investigations - Identify patterns from investigations and data analysis to uncover areas of opportunity and highlight the same to managers - Provide data analysis, conduct complex investigations and review investigations - Identify and eliminate root causes of defects in order to drive efficiency in operations by sharing insights from investigations and audits performed - Collaborate with multiple resources as per need and carry out basic analyses to help ensure efficiency and effectiveness of programs - Ability to do root-cause analyses within the space subject to availability of data - Knowledge of 7QC (Seven Quality Control) tools and quality management methodologies 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" : "Investigation Specialist (QA), Relay Product Excellence at ADCI. Skills: Investigation, Risk management, Data analysis. Provide data analysis. Conduct investigations", "postedDate" : "2026-06-13T05:13:53.814", "createdAt" : "2026-06-13T05:13:53.814", "lastUpdated" : "2026-06-15T01:44:07.750", "ingestTimestamp" : "2026-06-13T05:13:53.814", "mongoId" : "69c94a719bc74574cbbb3ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198325/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data management", "Ad hoc reporting", "Investigation", "Risk management", "Data analysis", "Problem resolution", "Identity verification", "Fraud patterns", "Abuse patterns", "Root cause analysis", "Transportation operations", "Excel", "Access", "SQL" ], "skillCount" : 14, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 579.3138, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21770d74d8ee00a0c1ba46", "title" : "Investigation Specialist (QA), Relay Product Excellence", "company" : "ADCI", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Investigation Specialist in E-Commerce in Bengaluru, India, adjusted for company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:05:08.984", "fingerprint" : "0e08887b9a1b0f3113a71d62037a015b93a2ffe27d4687efce6f65faa5029189", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435353/apply", "externalId" : "5e578192-2d21-496e-aed9-1707445631db", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Risk management" ], "hardSkillsList" : [ "Data analysis", "Ad hoc reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Ad hoc reporting", "level" : "intermediate" } ], "majorSkills" : "Investigation, Data analysis, Risk management", "majorSkillsList" : [ "Investigation", "Data analysis", "Risk management" ], "coreResponsibilities" : "Provide data analysis, Conduct investigations, Pull data from numerous databases, Perform ad hoc reporting and analysis, Take appropriate action to identify and help minimize, Address escalations, Create long-term, systemic solutions, Consistently achieve weekly targets and quality standards, Identify and eliminate root causes of defects, Drive efficiency in Amazon’s transportation operations, Understand business impact of trends, Make decisions based on available data, Systematically escalate problems or variance, Follow through on resolutions, Work within various time constraints, Meet critical business needs, Measure and identify activities performed, Create a narrative outlining weekly findings, Present findings in a review forum, Participate in ad-hoc projects and assignments, Meet productivity, quality and other hygiene metrics/ goals, Identify opportunities to Invent and Simplify processes, Deliver quicker with higher standards of accuracy, Define SOPs, Document new methods of abuse/frauds, Partner with stakeholder teams to drive gaps to", "teamCollaboration" : "Work with stakeholders; Partner with stakeholder teams", "domainKnowledge" : "Transportation; Identity verification; Fraud patterns; Abuse patterns", "domainList" : [ "transportation", "identity-verification", "fraud-patterns", "abuse-patterns" ], "domainSpecificKnowledge" : [ "Transportation", "Identity verification", "Fraud patterns", "Abuse patterns" ], "toolProficiency" : [ "Excel", "Access", "SQL" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document new methods", "innovationCreativity" : "Invent and Simplify processes", "problemSolvingSkills" : "Root-cause analyses; Data-driven decision making", "specialRequirements" : "Rotational shifts, 24*7 shift environment, Rotational weekly off", "outcomesObjectives" : "Meet productivity, quality and other hygiene metrics/ goals", "qualificationsBasic" : "1+ years of customer service experience, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Experience in payments or e-commerce", "qualificationsPreferred" : "Analyze basic case level inputs and identify predictors/causes of business related problems, Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends through data analysis and investigations, Identify patterns from investigations and data analysis to uncover areas of opportunity and highlight the same to managers, Provide data analysis, conduct complex investigations and review investigations, Identify and eliminate root causes of defects in order to drive efficiency in operations by sharing insights from investigations and audits performed, Collaborate with multiple resources as per need and carry out basic analyses to help ensure efficiency and effectiveness of programs, Ability to do root-cause analyses within the space subject to availability of data, Knowledge of 7QC (Seven Quality Control) tools and quality management methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a Investigation Specialist that has a background in transportation, risk management and data driven problem resolution skills. In this role the Investigation Specialist will continuously work with stakeholders to build trust-based relationships in order to investigate suspicious activity and address escalations while creating long-term, systemic solutions for a world-class customer experience. In this role, the Investigation Specialist will be responsible for a wide range of duties related to identity verification. • Shifts: Rotational (24*7 shift environment - changes based on business requirement) • Weekly Off: Rotational two consecutive days off (5-day working week) • Work from Office Role Key job responsibilities - Provide data analysis & conduct investigations - Pull data from numerous databases (using Excel,Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed - Take appropriate action to identify and help - minimize the risk posed by fraud or abuse patterns and trends - Consistently achieve weekly targets and quality standards for investigations - Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations - Understand the business impact of the trends and make decisions that make sense based on available data - Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams - Experience to follow through on the resolutions to ensure they are delivered - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed - Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum - Participate in ad-hoc projects and assignments as necessary A day in the life - Meet productivity, quality and other hygiene metrics/ goals - Identify opportunities to Invent and Simplify processes, and deliver quicker with higher standards of accuracy - Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure Basic Qualifications: - 1+ years of customer service experience - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience in payments or e-commerce Preferred Qualifications: - - Analyze basic case level inputs and identify predictors/causes of business related problems - - Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends through data analysis and investigations - - Identify patterns from investigations and data analysis to uncover areas of opportunity and highlight the same to managers - - Provide data analysis, conduct complex investigations and review investigations - - Identify and eliminate root causes of defects in order to drive efficiency in operations by sharing insights from investigations and audits performed - - Collaborate with multiple resources as per need and carry out basic analyses to help ensure efficiency and effectiveness of programs - - Ability to do root-cause analyses within the space subject to availability of data - - Knowledge of 7QC (Seven Quality Control) tools and quality management methodologies 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" : "Investigation Specialist (QA), Relay Product Excellence at ADCI. Skills: Investigation, Data analysis, Risk management. Provide data analysis. Conduct investigations", "postedDate" : "2026-06-13T04:00:20.992", "createdAt" : "2026-06-13T04:00:20.992", "lastUpdated" : "2026-06-15T01:05:08.984", "ingestTimestamp" : "2026-06-13T04:00:20.992", "mongoId" : "6a21770d74d8ee00a0c1ba46", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435353/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Ad hoc reporting", "Investigation", "Risk management", "Transportation", "Identity verification", "Fraud patterns", "Abuse patterns", "Excel", "Access", "SQL" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 576.02405, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b9e74d8ee00a091399b", "title" : "Data Consultant", "company" : "Artefact", "industry" : "Consulting", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Consultant in North America, adjusted for the technology industry and entry-level experience." }, "location" : "North America", "locations" : [ "North America" ], "timestamp" : "2026-06-15T04:55:40.800", "fingerprint" : "50cb344b1f8a9c36000b49624023f230f598859e8e14862da7dc9fbc917dbd24", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/artefactus/jobs/8425217002", "externalId" : "8425217002", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, R, Python", "professionalSkills" : [ "Data analysis", "Business needs analysis", "Strategy development", "Digital transformation" ], "hardSkillsList" : [ "Data collection", "Data organization", "Data cleaning", "Data preparation", "Statistical techniques", "Data interpretation", "Data-driven recommendations" ], "softSkillsList" : [ "Curious", "Independent", "Eager to learn", "Forward-thinkers", "Quick studies" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data organization", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data-driven recommendations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Independent" }, { "name" : "Eager to learn" }, { "name" : "Forward-thinkers" }, { "name" : "Quick studies" } ], "majorSkills" : "Data analysis, Client interaction, Data interpretation", "majorSkillsList" : [ "Data analysis", "Client interaction", "Data interpretation" ], "coreResponsibilities" : "Collect data, Organize data, Prepare data for analysis, Analyze data, Interpret data insights, Present data insights, Understand business needs, Develop data-driven recommendations, Participate in professional development", "teamCollaboration" : "Client-facing capacity; Diverse team engagement; Intercultural communication", "domainKnowledge" : "Data and AI; Digital transformation; AI-powered solutions", "domainList" : [ "data-and-ai", "digital-transformation", "ai-powered-solutions" ], "domainSpecificKnowledge" : [ "Data and AI", "Digital transformation", "AI-powered solutions" ], "toolProficiency" : [ "Excel", "PowerPoint", "R", "Python" ], "communicationSkills" : "Client presentations; Data insights presentation", "continuousLearning" : "Ongoing professional development", "innovationCreativity" : "Position Artefact at forefront of innovation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Turn data into business impact; Create lasting value", "qualificationsBasic" : "Undergraduate degree, 1-2 years experience, Excel proficiency, PowerPoint proficiency, Verbal communication, Written communication", "qualificationsPreferred" : "Consulting experience preferred, Data/analytics experience preferred, Marketing experience preferred, Advertising experience preferred, Finance experience preferred, Tech experience preferred, Strategy consulting knowledge desirable, Digital marketing knowledge desirable, Intercultural communication skills a must", "rawDescription" : "About the job Do you think like a management consultant, thrive in fast-paced environments, and get excited about the intersection of data, technology, and AI? Join Artefact, a global consulting firm helping leading brands turn data into real business impact. With 2,000+ employees across 34 offices worldwide, we partner with world-class clients such as Samsung, L'Oréal, and LVMH to accelerate digital transformation through data and AI. Founded in Paris, Artefact combines strategy, data, and technology to deliver measurable results. Our teams of consultants, data scientists, engineers, and digital experts work side by side to design business-centric, AI-powered solutions that create lasting value across the entire value chain. Find out more at artefact.com. What you will be doing As a data consultant you will help make data-driven decisions by collecting, analyzing, and interpreting data. Work with clients to understand their business needs and goals, and use data analysis techniques to identify trends and patterns that can inform decision-making and strategy. Our most successful consultants quickly gain additional responsibilities. Some specific responsibilities of a junior data consultant may include: Collecting and organizing data from various sources, including databases, spreadsheets, and web-based tools Cleaning and preparing data for analysis, including correcting errors and formatting data for use in statistical software Analyzing data using statistical techniques and tools, such as Excel, SQL, and R or Python Interpreting and presenting data insights to clients in clear, easy-to-understand language Collaborating with clients to understand their business needs and goals, and developing data-driven recommendations to meet those needs Participating in ongoing professional development to stay up-to-date on the latest data analysis techniques and tools. To be successful in this role, a data consultant should have strong analytical skills, attention to detail, and the ability to work with large datasets. They should also have excellent communication and interpersonal skills, as they will be interacting with clients and presenting data insights to both technical and non-technical audiences. Familiarity with statistical software and programming languages, such as R or Python, is also helpful for this role. What we are looking for We’re looking for forward-thinkers and “quick studies” who are poised to make impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U. S. office, we need a consultant who’s naturally curious, independent, team-oriented, and eager to learn. We’ll give you the tools and training to be successful, and you’ll come armed with the following: Undergraduate degree with strong academic performance 1-2 years of full-time work experience, ideally in one or more of the following areas: consulting, data/analytics, marketing, advertising, finance, or tech. Strong verbal and written communication skills; ability to represent Artefact in a client-facing capacity Demonstrated ability to engage with diverse team members; strong intercultural communication skills are a must Advanced familiarity with Excel and PowerPoint Interest in digital, data and the tech economy as a whole Strong teaching orientation; demonstrated ability to mentor more junior members of the team Knowledge of strategy consulting and/or digital marketing (within a start-up, agency, etc.) is highly desirable, but not required Why you should join us We are united by our values and strengthened by our hybrid expertise. There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed. Client trust is won on the field: Addressing client needs flows better hands on at their side. If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact. If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues. We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.", "summaryDescription" : "Data Consultant at Artefact. Skills: Data analysis, Client interaction, Data interpretation. Collect data. Organize data", "postedDate" : "2026-06-14T03:45:03.008", "createdAt" : "2026-06-14T03:45:03.008", "lastUpdated" : "2026-06-15T04:55:40.800", "ingestTimestamp" : "2026-06-14T03:45:03.008", "mongoId" : "6a2c6b9e74d8ee00a091399b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data collection", "Data organization", "Data cleaning", "Data preparation", "Statistical techniques", "Data interpretation", "Data-driven recommendations", "Curious", "Independent", "Eager to learn", "Forward-thinkers", "Quick studies", "Data analysis", "Client interaction", "Business needs analysis", "Strategy development", "Digital transformation", "Data and AI", "AI-powered solutions", "Excel", "PowerPoint", "R", "Python" ], "skillCount" : 23, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 568.6921, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e426f8b1b0376634c669", "title" : "Investigations Manager I, Investigations", "company" : "AOSP-V - M26", "industry" : "Investigation Loss Prevention, Investigation, selling partner services", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Investigations Manager I in Metro Manila, Philippines, adjusted for manager seniority and full-time employment." }, "location" : "PHL", "locations" : [ "PHL" ], "timestamp" : "2026-06-15T03:43:46.454", "fingerprint" : "aa186b514d968f58d39e6feecd761dabb3ba650b8faad0fcf632864edec092c1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076887/apply", "externalId" : "9a6030a1-ee9a-4a0e-9be8-9d1679d304a7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5736108,121.0329706" }, { "city" : "Cavite", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.2554073,120.8671503" }, { "city" : "Bulacan", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "15.0000000,121.0833330" }, { "city" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.1696476,121.3336526" }, { "city" : "Rizal", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6500000,121.2500000" } ], "locationText" : "Metro Manila, Philippines; Cavite, Philippines; Bulacan, Philippines; Laguna, Philippines; Rizal, Philippines", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Data visualization, Process mapping", "professionalSkills" : [ "Performance management", "Process improvement", "Problem-solving", "Data analysis", "Decision making" ], "hardSkillsList" : [ "Root cause analysis", "Performance tracking", "Metrics-based decision making" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "Metrics-based decision making", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "People management, Business operations, Process improvement", "majorSkillsList" : [ "People management", "Business operations", "Process improvement" ], "coreResponsibilities" : "Lead investigations team, Develop team performance, Achieve performance goals, Implement training programs, Allocate work, Conduct performance reviews, Mentor new managers, Mentor high-potential employees, Lead site functional responsibilities, Implement digital solutions, Communicate policies and updates, Ensure compliance and consistency, Manage SLAs, Track real-time performance, Monitor quality and productivity, Use AI quality monitoring, Make data-driven decisions, Identify customer issues, Analyze customer feedback, Implement targeted solutions, Use AI for pattern recognition, Build process improvements, Drive process improvement culture, Implement lean methodologies, Automate processes, Optimize processes with data, Collaborate cross-functionally, Eliminate accuracy barriers, Eliminate productivity barriers, Eliminate quality barriers, Conduct process assessments, Implement automated solutions, Identify bottlenecks with analytics, Develop operating procedures", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Contact Center Operations", "domainList" : [ "contact-center-operations" ], "domainSpecificKnowledge" : [ "Contact Center Operations" ], "toolProficiency" : [ "Microsoft Office Suite", "Excel", "AI tools" ], "communicationSkills" : "Communicate complex problems; Present process improvements", "documentationSkills" : "Documentation processes", "problemSolvingSkills" : "Root cause analysis; Problem-solving methodologies; Data-driven decision making; Analytical skills", "specialRequirements" : "Physically based in Metro Manila, Cavite, Bulacan, Laguna or Rizal, Reliable ISP 200 MBPS, 100 GB data, Internet backup, Power backup, Private work area, Free of distractions", "outcomesObjectives" : "Achieve performance goals; Achieve network-wide vision", "qualificationsBasic" : "Bachelor's Degree, 2+ years people leadership, Contact Center Operations experience", "qualificationsPreferred" : "Advanced proficiency Microsoft Office, Excel for data analysis, Data visualization tools, Process mapping tools, Analytical tools for root cause analysis, Project management methodologies, Cross-functional process improvement projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "You must be physically based in Metro Manila, Cavite, Bulacan, Laguna or Rizal. Remote Work Requirement A reliable ISP (internet bandwidth of at least 200 MBPS speed or higher) connection, either through DSL, fiber or a cable modem, and should have at least 100 GB data from a reliable provider. Internet and power back up must be available in case of connectivity/power outages. Your work area should be a private space in which you are not overlooked or disturbed. Your work area must be free of distractions such as barking dogs, television noise, music, children, etc. You must be able to devote full attention to the Amazon customer. Key job responsibilities People Management: • Leading and developing a team of 18-21 investigations associates; responsible for the overall performance management, coordination, and evaluation of the team using both traditional and data-driven insights. • Develop and achieve performance goals and objectives aligned with network-wide vision, utilizing performance analytics tools to track progress. • Carrying out supervisory responsibilities in accordance with Amazon's policies and procedures; responsibilities include interviewing, implementing structured training programs, work allocation, and performance reviews supported by analytics tools. • Mentoring new managers and high-potential employees, including guidance on leveraging available technology and process improvement methodologies. • Leading Site Level initiatives; primary owner of functional responsibilities that impact overall site, with focus on implementing efficient digital solutions where applicable. • Communicating policies and updates to investigations associates through established channels and digital platforms. • Ensure compliance and consistency through systematic monitoring and documentation processes. Business/Operations Management: • Management of SLAs using real-time tracking systems and performance dashboards. • Responsible for quality and productivity of assigned team, leveraging both traditional metrics and AI-assisted quality monitoring tools. • Developing and achieving performance goals through data-driven decision making and operational excellence. • Identifying customer issues through: • Analysis of customer feedback and trends • Implementing targeted solutions • Using available AI tools for pattern recognition • Building process improvements based on findings • Drive process improvement and continuous improvement culture through: • Traditional 'kaizen' and lean methodologies • Strategic automation where applicable • Data-driven process optimization • Cross-functional collaboration • Identifying and eliminating barriers to accuracy, productivity, and quality by: • Conducting regular process assessments • Implementing automated solutions for routine tasks • Using analytics to identify bottlenecks • Developing standardized operating procedures • Leveraging appropriate technology solution Basic Qualifications: • Basic Qualifications: Education and Experience: • Bachelor's Degree from an accredited university • 2+ years people leadership experience managing teams of 10-25 direct reports • Contact Center Operations experience. Leadership and Change Management: • Demonstrated success in leading teams through process changes and improvements • Experience in developing and implementing standard operating procedures • Proven ability to coach teams on problem-solving methodologies. Communication: • English language fluency • Ability to effectively communicate complex problems and solutions to various stakeholders • Experience in documenting and presenting process improvement initiatives. Process Improvement Expertise: • Proven experience implementing process improvement methodologies • Knowledge of root cause analysis tools and techniques (5-Why, Fishbone diagrams, Pareto analysis) • Experience leading continuous improvement initiatives and measuring their impact. Analytical and Decision-Making: • Strong analytical skills with ability to identify trends and patterns in data • Experience in performance tracking and metrics-based decision making • Capability to translate data insights into actionable improvements. Preferred Qualifications: Technical Skills: • Advanced proficiency in Microsoft Office Suite, particularly Excel for data analysis, pivot tables, and reporting • Experience with data visualization and process mapping tools • Demonstrated ability to use analytical tools for root cause analysis and problem-solving. Project Management: • Understanding of project management methodologies and their practical application • Experience in leading cross-functional process improvement projects • Ability to manage multiple initiatives while maintaining operational excellence. 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" : "Investigations Manager I, Investigations at AOSP-V - M26. Skills: People management, Business operations, Process improvement. Lead investigations team. Develop team performance", "postedDate" : "2026-06-13T19:40:08.192", "createdAt" : "2026-06-13T19:40:08.192", "lastUpdated" : "2026-06-15T03:43:46.454", "ingestTimestamp" : "2026-06-13T19:40:08.192", "mongoId" : "68c2e426f8b1b0376634c669", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076887/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Root cause analysis", "Performance tracking", "Metrics-based decision making", "Leadership", "Mentoring", "People management", "Business operations", "Process improvement", "Performance management", "Problem-solving", "Data analysis", "Decision making", "Project management", "Contact Center Operations", "Microsoft Office Suite", "Excel", "AI tools" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 561.96094, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ffef292fd229cf84000", "title" : "Collections Clerical Associate", "company" : "Old Second National Bank", "industry" : "Banking", "salary" : { "min" : 1700.0, "max" : 2060.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Reno, Nevada, United States", "locations" : [ "Reno", "Nevada", "United States" ], "timestamp" : "2026-06-16T07:35:33.192", "fingerprint" : "fdd4bcf5fb9681f5546cd882d5f32898fb152f8001c1b18df84458b0552d850c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.oldsecond.com/resources-services/current-opportunities?gh_jid=7770375003", "externalId" : "7770375003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reno", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5261788,-119.8126580" } ], "locationText" : "Reno, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "hardSkillsList" : [ "Data entry", "10-key" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "10-key", "level" : "intermediate" } ], "majorSkills" : "Data entry, Clerical duties", "majorSkillsList" : [ "Data entry", "Clerical duties" ], "coreResponsibilities" : "Enter data, Post invoices, Perform general clerical duties, Pull files, File documents, Scan documents, Fax documents, Handle returned mail, Process outgoing mail, Ensure operational integrity, Comply with policies, Comply with procedures, Comply with regulations, Train to take collections calls, Perform customer service", "qualificationsBasic" : "High school diploma, Six months related experience", "qualificationsPreferred" : "Prior office experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are At Old Second, you're first! For more than 150 years, Old Second has consistently put businesses and individuals throughout the Chicago area first, and we're only getting started. With great employees we've grown from a single location in the back of a general store to 50 locations and over $6 billion dollars in assets. At Old Second we embrace values that foster an environment of community and growth. Recently, we've been voted a Forbes Best-In-State Bank for Illinois by our customers. Be a part of something big as we continue our growth story together! Position Overview This position’s responsibilities will include data entry, posting invoices, and general clerical duties (filing, scanning, faxing). Essential Job Functions General clerical duties: pulling files, filing, scanning, faxing, etc. Posting invoices from vendors. Data entry assignments. Handling returned mail. Processing outgoing mail for the department. Ensure operational integrity through compliance with all policies, procedures, and regulations. Perform other duties as assigned. May train to take collections calls and perform customer service. Minimum Requirements High school diploma and six months or more of related experience. Competencies Data entry or 10-key Attention to detail Strong organizational and time management skills Works well in a team environment. Preferred, but not required Prior office experience a plus. NOTE: This job description is not intended to be all-inclusive. Employee may perform other duties as assigned to meet the ongoing needs of the organization. Location This is an onsite position at the Reno, NV office. Must be able to work onsite daily. Base pay: $17.00 - $20.60/hour. Old Second is committed to fair and equitable pay practices. Pay is dependent upon the pay range and the incumbent’s knowledge, skills and experience. Benefits: How We Support You - Old Second Thanks for considering Old Second!", "summaryDescription" : "Collections Clerical Associate at Old Second National Bank. Skills: Data entry, Clerical duties. Enter data. Post invoices", "postedDate" : "2026-06-15T23:28:34.299", "createdAt" : "2026-06-15T23:28:34.299", "lastUpdated" : "2026-06-16T07:35:33.192", "ingestTimestamp" : "2026-06-15T23:28:34.299", "mongoId" : "6a305ffef292fd229cf84000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3536000, "salaryAnnualMax" : 4284800, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data entry", "10-key", "Clerical duties" ], "skillCount" : 3, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 560.3654, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8c70f0b99d5843fe3b", "title" : "Investigation Specialist II, Ops Trust Team", "company" : "ADCI", "industry" : "Supply Chain/Transportation Management, Investigation, transportation and logistics", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Investigation Specialist II in Bengaluru, India, adjusted for mid-seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:50:04.068", "fingerprint" : "2058eeb11f3ee77220be851a11006fd415190575d344704ec151f6642f27c7f6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138076/apply", "externalId" : "27e686fb-c01d-43da-9ec0-0d47a37f2f7d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Undergraduate degree", "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Risk reviews", "Fraud detection", "Account detection", "Risk management", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Ad hoc reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Ad hoc reporting", "level" : "intermediate" } ], "majorSkills" : "Fraud mitigation, Risk assessment, Data investigation", "majorSkillsList" : [ "Fraud mitigation", "Risk assessment", "Data investigation" ], "coreResponsibilities" : "Conduct risk reviews, Validate identity, Take appropriate actions on accounts, Protect Amazon from risk, Prevent / mitigate fraud, Identify bad actors, Provide data analysis, Conduct investigations, Pull data from databases, Perform ad hoc reporting, Perform analysis, Minimize risk posed by fraud, Minimize risk posed by abuse, Identify root causes of defects, Drive efficiency in operations, Understand business impact of trends, Make decisions based on data, Escalate problems or variance, Meet critical business needs, Create a narrative outlining findings, Create a narrative outlining variances, Present findings in a review forum, Participate in ad-hoc projects, Participate in assignments, Partner with cross functional teams, Collaborate on fraud risks, Collaborate on investigations, Apply risk management best practices, Mitigate issues, Identify operational inefficiencies, Improve processes, Define SOPs, Document new methods of abuse, Document new methods of frauds, Drive gaps to closure, Monitor metrics to identify deviations, Spot emerging frauds, Spot emerging MOs, Drive program goals independently, Drive process goals independently", "teamCollaboration" : "Cross functional teams; Stakeholder teams; Fraud/abuse teams", "domainKnowledge" : "Related accounts identification; Fraud patterns; Abuse patterns; Identity verification", "domainList" : [ "related-accounts-identification", "fraud-patterns", "abuse-patterns", "identity-verification" ], "domainSpecificKnowledge" : [ "Related accounts identification", "Fraud patterns", "Abuse patterns", "Identity verification" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Document new methods", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Work towards zero fraud; Minimize risk related losses; Err towards customer experience", "qualificationsBasic" : "Undergraduate degree", "qualificationsPreferred" : "Experience in data analysis, Experience in reporting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This role conducts risk reviews on carriers with investigatory resources and tools to validate identity. Has responsibility for taking appropriate actions on or accounts to protect Amazon from risk of account Related Account Detection and to prevent /mitigate fraud. The role works towards zero fraud and identify bad actors in the system. The team seeks the best possible trade-off between customer experience and risk related losses, and when they have to make difficult choices, they will err towards the customer experience. Key job responsibilities - Understanding of related accounts identification - Provide data analysis & conduct investigations - Pull data from numerous databases (using Excel, SQL and/or other database) and to perform ad hoc reporting and analysis as needed - Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends - Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations - Understand the business impact of the trends and make decisions that make sense based on available data - Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed - Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum - Participate in ad-hoc projects and assignments as necessary - Partner with cross functional teams across Amazon for collaboration on fraud risks and investigations - Apply risk management best practices to mitigate issues, identify operational inefficiencies and improve processes A day in the life - Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure - Constantly monitor metrics to identify deviations, and spot emerging frauds/ MOs that are adopted by bad actors - Drive program/ process goals independently with minimal to no intervention from leadership - Partner with multiple fraud/abuse teams to learn and implement industry wide best practices and other identity verification mechanisms Basic Qualifications: - Undergraduate degree Preferred Qualifications: - Experience in data analysis and reporting 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" : "Investigation Specialist II, Ops Trust Team at ADCI. Skills: Fraud mitigation, Risk assessment, Data investigation. Conduct risk reviews. Validate identity", "postedDate" : "2026-06-13T04:24:41.104", "createdAt" : "2026-06-13T04:24:41.104", "lastUpdated" : "2026-06-15T02:50:04.068", "ingestTimestamp" : "2026-06-13T04:24:41.104", "mongoId" : "693c2b8c70f0b99d5843fe3b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3138076/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Ad hoc reporting", "Fraud mitigation", "Risk assessment", "Data investigation", "Risk reviews", "Fraud detection", "Account detection", "Risk management", "Process improvement", "Related accounts identification", "Fraud patterns", "Abuse patterns", "Identity verification", "Excel", "SQL" ], "skillCount" : 16, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 558.9087, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6af174d8ee00a090f51d", "title" : "Fraud Prevention Investigation Lead", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Fraud Prevention Investigation role in Abu Dhabi, UAE, within the FinTech industry, adjusted for seniority and company size." }, "location" : "Abu Dhabi", "locations" : [ "Abu Dhabi" ], "timestamp" : "2026-06-15T09:30:49.593", "fingerprint" : "452da7ccbd59036b0f448335479378e1e90d590381146959c700890297b596a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4856964101", "externalId" : "4856964101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abu Dhabi", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.4538352,54.3774014" } ], "locationText" : "Abu Dhabi, United Arab Emirates", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Hive, SQL, Excel", "professionalSkills" : [ "Risk management", "Fraud analysis", "Operational analysis" ], "hardSkillsList" : [ "Data analysis", "Fraud detection", "Risk control operations" ], "softSkillsList" : [ "Logical thinking", "Risk sensitivity" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Risk control operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical thinking" }, { "name" : "Risk sensitivity" } ], "majorSkills" : "Risk management, Fraud analysis, Operational metrics", "majorSkillsList" : [ "Risk management", "Fraud analysis", "Operational metrics" ], "coreResponsibilities" : "Review risk tickets, Evaluate user submissions, Propose optimization suggestions, Drive review tool enhancements, Reduce unnecessary work orders, Identify fraud cases, Analyze fraudulent methods, Reconstruct attack chains, Characterize fraud patterns, Provide prevention strategies, Provide mitigation strategies, Monitor risk trends, Monitor strategy effectiveness, Monitor operational workflows, Build risk early warning capabilities, Identify potential threats, Embed risk controls into business processes, Embed risk controls into new product launches", "teamCollaboration" : "Cross-functional collaboration; Business, product, technology teams; Legal and compliance teams", "domainKnowledge" : "Risk control operations; Fraud analysis methodologies; Fraud detection", "domainList" : [ "risk-control-operations", "fraud-analysis-methodologies", "fraud-detection" ], "domainSpecificKnowledge" : [ "Risk control operations", "Fraud analysis methodologies", "Fraud detection" ], "toolProficiency" : [ "Hive", "SQL", "Excel" ], "communicationSkills" : "Cross-functional alignment", "continuousLearning" : "Professional development; Continuous learning", "problemSolvingSkills" : "Case analysis; Fraud pattern identification; Risk assessment", "outcomesObjectives" : "Improve review process; Enhance review tools; Reduce work orders; Identify fraud cases; Mitigate fraud risks; Proactively identify threats; Align cross-functional teams", "qualificationsBasic" : "Bachelor's degree or higher, Minimum 3 years experience, Risk management background, Finance, fintech, or consulting background, Prior experience in case analysis, Prior experience in risk review", "qualificationsPreferred" : "Higher education in related fields", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Overview This role is to oversee the company’s risk control operations with a keen eye for identifying potential risks. Conduct routine inspections and case analyses to uncover typical fraud risks, refine fraud patterns and characteristics, and propose risk control optimization recommendations. Key Responsibilities Risk Tickets Review: Evaluate materials submitted by users flagged for potential risk. Based on submission quality and approval rates, propose optimization suggestions to improve the review process, drive enhancements in review tools, and reduce unnecessary work orders. Case Analysis: Utilize operational analysis tools to identify fraud cases, analyze fraudulent methods, reconstruct attack chains, and accurately characterize fraud patterns. Provide targeted prevention and mitigation strategies. Monitoring & Warning: Monitor risk trends, strategy effectiveness, and operational workflows. Build risk early warning capabilities to proactively identify potential threats, enabling more efficient risk perception and control through a combination of operational measures and strategic deployments. Cross-Functional Collaboration: Work closely with business, product, technology, legal, and compliance teams to embed risk controls into business processes and new product launches, ensuring alignment across departments. Key Qualifications Education: Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Finance, or related fields. Experience: Minimum 3 years of experience in risk management, with a background in finance, fintech, or consulting. Prior experience in case analysis, risk review, or related roles is required Technical Skills: Proficient in data analysis tools such as Hive, SQL, and Excel Risk Control Expertise: Familiarity with risk control operations and fraud analysis methodologies. Understand key breakthrough points in fraud detection and possess the ability to rapidly deploy and validate risk strategies. Soft Skills: Strong logical thinking and risk sensitivity, with the ability to quickly identify fraud patterns, reconstruct cases, summarize characteristics, and drive improvements in operational tools and products. Excellent communication and collaboration skills to align cross-functional teams and drive project success. Passion for risk management with a commitment to continuous learning about industry trends and technologies. Meticulous attention to detail, strong accountability, and resilience under pressure. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Fraud Prevention Investigation Lead at Bybit. Skills: Risk management, Fraud analysis, Operational metrics. Review risk tickets. Evaluate user submissions", "postedDate" : "2026-06-14T08:34:37.751", "createdAt" : "2026-06-14T08:34:37.751", "lastUpdated" : "2026-06-15T09:30:49.593", "ingestTimestamp" : "2026-06-14T08:34:37.751", "mongoId" : "6a2c6af174d8ee00a090f51d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Fraud detection", "Risk control operations", "Logical thinking", "Risk sensitivity", "Risk management", "Fraud analysis", "Operational metrics", "Operational analysis", "Fraud analysis methodologies", "Hive", "SQL", "Excel" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 551.23944, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104422beec4dd3def28b7", "title" : "Investigation Specialist [ENG]", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 750000.0, "max" : 1100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Investigation Specialist in Hyderabad, India, adjusted for the e-commerce industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T05:28:07.434", "fingerprint" : "9c987c2866921a50417ccf0b37475d9137861253211535d7820e9016dcccde7d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382734/apply", "externalId" : "30d930d1-5c31-4521-8688-8b2376bdde12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "coreResponsibilities" : "Investigate suspicious buyer activity and behavior, Communicate via email and telephone with buyers, merchants,, Make informed decisions about risk, Maintain Amazon's site quality by enforcing Amazon's Policy, Take appropriate action to identify and help minimize, Follow established escalation paths to ensure resolution, Participate in other special projects/assignments, Partner with appropriate business teams as necessary, Consistently achieve/exceed weekly productivity and quality standards", "domainKnowledge" : "e-commerce risk; fraud patterns", "domainList" : [ "e-commerce-risk", "fraud-patterns" ], "domainSpecificKnowledge" : [ "e-commerce risk", "fraud patterns" ], "toolProficiency" : [ "Microsoft Office" ], "qualificationsBasic" : "1+ years of customer service experience, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays, Experience in payments or e-commerce", "qualificationsPreferred" : "Comfortable working in rotational shifts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our overall mission is simple: We want Amazon to be the place where our customers can find, discover and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will continue to enable people to discover new worlds. This is your chance to make history. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills and value your passion to discover, invent, simplify and build trust of our customers and sellers. We’re looking for Investigators to evaluate transactions and safeguard Amazon's global customer base, profitability, and brand while maintaining a high bar of customer experience. Investigators are responsible for a wide range of duties related to the investigation and elimination of online e-commerce risk. The team's schedule is organized in shifts and weekends to accommodate Amazon's opening hours 7 days a week. Please note, the shifts cannot be confirmed prior to joining Amazon as they are not determined until after the training period, therefore flexibility is required. Key job responsibilities As part of your role, you will have the opportunity to: - Investigate suspicious buyer activity and behavior that could pose a risk to Amazon, our customer’s, or merchants. - Communicate via email and telephone with buyers, merchants, and other external and internal customers to make informed decisions about risk. - Maintain Amazon's site quality by enforcing Amazon's Policy Guidelines. - Take appropriate action to identify and help minimize the risk posed by fraud patterns and trends. When procedures are not available, follow established escalation paths to ensure resolution. - Participate in other special projects/assignments and Partner with appropriate business teams as necessary. - Consistently achieve/exceed weekly productivity and quality standards. About the team The Customer Trust and Partner Support (CTPS) team aims to make Amazon the safest place to transact online. CTPS safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, CTPS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. Basic Qualifications: - 1+ years of customer service experience - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Experience in payments or e-commerce Preferred Qualifications: - Comfortable working in rotational shifts 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" : "Investigation Specialist [ENG] at Amazon Dev Center India. Investigate suspicious buyer activity and behavior. Communicate via email and telephone with buyers, merchants,", "postedDate" : "2026-06-13T12:42:30.586", "createdAt" : "2026-06-13T12:42:30.586", "lastUpdated" : "2026-06-15T05:28:07.434", "ingestTimestamp" : "2026-06-13T12:42:30.586", "mongoId" : "69e104422beec4dd3def28b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382734/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "e-commerce risk", "fraud patterns", "Microsoft Office" ], "skillCount" : 3, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "_score" : 549.6165, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693c2b8a70f0b99d5843fccf", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 3.5E7, "max" : 5.5E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Solutions role in Heredia, Costa Rica, adjusted for the technology industry and Amazon's company size." }, "location" : "Heredia, Heredia, CRI", "locations" : [ "Heredia, Heredia, CRI" ], "timestamp" : "2026-06-15T01:37:15.165", "fingerprint" : "475e6e88806db91de1fbe2130004f55252b2788eafd54a9b3ecf8b74ea3b5fb7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139141/apply", "externalId" : "f190b93e-53eb-4fd9-b17b-573ddd4fd104", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Heredia", "state" : "Heredia", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9984272,-84.1171215" } ], "locationText" : "Heredia, Heredia, Costa Rica", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "ML data operations", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios" ], "hardSkillsList" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data creation strategies", "level" : "intermediate" }, { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data solutions, Customer consultation, Data collection requirements", "majorSkillsList" : [ "ML data solutions", "Customer consultation", "Data collection requirements" ], "coreResponsibilities" : "Drive and document ML/GenAI solutions, Transform research objectives into requirements, Coordinate across teams for delivery, Align stakeholders, Own relationships with customer scientists, Provide consultation on ML workflow capabilities, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Customer scientists; Implementation teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "GenAI data collections" ], "communicationSkills" : "Customer communication; Technical consultation", "documentationSkills" : "Technical documentation; Technical guidelines", "outcomesObjectives" : "Deliver meaningful change for models; Maximize customer value", "qualificationsBasic" : "2+ years of experience in ML data operations, Understanding of data annotation/ML workflows, Outstanding customer communication and management skills, Technical consultation skills", "qualificationsPreferred" : "Bachelor's degree in Business, Computer Science, or related field, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Project management expertise, Technical account management experience, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Demonstrated experience in effectively defining optimal data creation strategies and executing them - Associate's degree or equivalent work experience - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Outstanding customer communication and management skills, especially in technical consultation - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Business, Computer Science, or related field - Working knowledge of JSON, Command Line, and Python - Project management expertise - Technical account management experience - Background in customer success or solution consulting 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" : "Data Solutions Lead, Data Collection Excellence at Amazon Support Services Costa Rica SRL. Skills: ML data solutions, Customer consultation, Data collection requirements. Drive and document ML/GenAI solutions. Transform research objectives into requirements", "postedDate" : "2026-06-13T02:59:19.198", "createdAt" : "2026-06-13T02:59:19.198", "lastUpdated" : "2026-06-15T01:37:15.165", "ingestTimestamp" : "2026-06-13T02:59:19.198", "mongoId" : "693c2b8a70f0b99d5843fccf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139141/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data creation strategies", "ML data operations", "Data annotation", "ML workflows", "Leadership", "ML data solutions", "Customer consultation", "Data collection requirements", "Customer relationship management", "Technical advisory", "Partnership building", "ML workflow capabilities", "Annotation scenarios", "Project management", "GenAI data collections" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 547.3245, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307adef292fd229c04129a", "title" : "Supervisor, Fraud Investigations", "company" : "Airbnb", "industry" : "Hospitality", "salary" : { "min" : 1370000.0, "max" : 1790000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Gurugram, India", "locations" : [ "Gurugram", "India" ], "timestamp" : "2026-06-16T12:13:45.864", "fingerprint" : "51156ff8d06c56dbb7f783c95e7c2c8c204994eab1552d94eeadf8bb0cea8546", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.airbnb.com/positions/8007130?gh_jid=8007130", "externalId" : "8007130", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Risk management", "Fraud investigations", "People management", "Performance management", "Coaching" ], "hardSkillsList" : [ "Fraud detection", "Fraud prevention", "Risk mitigation", "Claim assessment", "Data analytics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Fraud prevention", "level" : "intermediate" }, { "name" : "Risk mitigation", "level" : "intermediate" }, { "name" : "Claim assessment", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Fraud Investigations, Risk Management, Team Leadership", "majorSkillsList" : [ "Fraud Investigations", "Risk Management", "Team Leadership" ], "coreResponsibilities" : "Lead fraud investigations team, Identify fraudulent Aircover claims, Investigate fraudulent Aircover claims, Mitigate fraudulent Aircover claims, Oversee fraud investigation process, Search for syndicated bad actors, Mitigate risks from bad actors, Collaborate with internal stakeholders, Ensure accurate claim assessments, Prevent financial losses, Lead investigations of major incidents, Contain major incidents, Manage emerging risks, Manage emerging threats, Enable business growth, Identify intelligence gaps, Identify risk gaps, Work with risk management teams, Strengthen Airbnb platform, Adapt function to priorities, Own planning, Own strategy, Set targets for team, Present findings, Build team, Foster team, Support team, Hold team accountable, Manage team with care, Manage team with empathy, Challenge team members, Meet expectations, Exceed expectations, Take ownership for team quality, Take ownership for team accuracy, Take ownership for metrics performance, Hold team members accountable for performance, Hold team members accountable for quality, Monitor result trends, Set clear expectations, Follow-up individually, Coach regularly, Develop team skills, Improve team skills, Develop team behaviors, Improve team behaviors, Manage risks, Manage threats, Maintain good customer experience, Look for new capabilities, Collect risk intelligence, Analyze risk intelligence, Disseminate risk intelligence, Develop team knowledge, Develop team expertise, Oversee team performance, Communicate with internal partners, Provide guidance to team, Provide direction to team, Develop strategies to detect fraud, Develop strategies to prevent fraud, Share fraud-related insights, Improve fraud prevention measures, Enhance operational efficiency, Utilize data analytics techniques, Identify patterns indicative of fraud, Identify trends indicative of fraud, Identify anomalies indicative of fraud, Develop training programs, Deliver training programs, Enhance fraud awareness, Promote fraud prevention culture, Prepare comprehensive reports, Highlight key fraud metrics, Highlight key fraud trends, Provide recommendations for process improvements", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; Risk management teams; Other Aircover Ops teams; Legal; Trust; CS Safety; Product Management; Global Crisis Management; Community Support; Policy; Privacy Legal teams", "domainKnowledge" : "Fraud investigations; Fraud prevention; Risk management; Aircover platform", "domainList" : [ "fraud-investigations", "fraud-prevention", "risk-management", "aircover-platform" ], "domainSpecificKnowledge" : [ "Fraud investigations", "Fraud prevention", "Risk management", "Aircover platform" ], "toolProficiency" : [ "Data analytics tools" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Problem solving; Conflict resolution; Root cause analysis", "specialRequirements" : "24*7 rotational shifts, Weekend days, Company holidays", "outcomesObjectives" : "Mitigate fraudulent claims; Prevent financial losses; Strengthen Airbnb platform; Meet performance goals; Exceed performance goals; Improve fraud prevention measures; Enhance operational efficiency", "qualificationsBasic" : "5+ years experience in risk management, 2+ years experience in people management, Experience in fast-paced fraud investigations, Thorough knowledge of fraud investigations, Knowledge of intelligence tradecraft, Knowledge of fraud investigation systems, Knowledge of fraud investigation processes, Knowledge of governance metrics-based performance management, Knowledge of coaching skills, Ability to solve problems independently, Ability to solve problems collaboratively, Ability to resolve conflict independently, Ability to resolve conflict collaboratively, Ability to manage competing priorities, Ability to establish clear expectations, Ability to establish clarity among stakeholders, Ability to identify key stakeholders, Ability to cultivate relationships with stakeholders, Analytical skills to review customer feedback, Analytical skills to review data, Ability to identify trends, Ability to identify issues, Ability to identify opportunities, Ability to work independently, Ability to balance fraud prevention, Ability to balance positive customer experience, Ability to work in 24*7 rotational shifts, Ability to work in a global environment, Ability to work in a fluid environment, Ability to execute at high quality, Ability to execute to completion", "qualificationsPreferred" : "Experience in high tech organizations, Experience in matrixed global organizations, Experience in fintech space, Experience in insurance space, Understanding of Third Party Administrators concepts, Understanding of Third Party Adjusters concepts, Knowledge of fraud prevention techniques, Knowledge of investigative methodologies, Knowledge of legal aspects related to fraud investigations", "rawDescription" : "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The AirCover team is charged with ideating, building, launching, and managing the AirCover business inside of Airbnb. We have a huge responsibility to our community of Hosts and guests to be there when things don’t go exactly as planned with their reservations. We have a lot of work to do in the coming years and we are looking for someone who will help us manage all of the things that need to be done to deliver best-in-class services to our community. The Difference You Will Make: As the Lead of the Fraud Investigations Team, you will play a vital leadership role in safeguarding the integrity of our Aircover platform by effectively identifying, investigating, and mitigating instances of fraudulent Aircover claims. You will lead a team of talented fraud investigators, oversee the end-to-end fraud investigation process, search for fingerprints of syndicated bad actors, mitigate those risks, and collaborate closely with internal stakeholders to ensure accurate claim assessments and prevent financial losses. Your team will also lead investigations and containment of major incidents related to policies that Aircover Scaled Ops and Optimization team currently enforce. You will work closely with cross-functional teams to manage emerging risks / threats while enabling business growth in various markets. Philosophy will be to identify intelligence / risk gaps and work with other internal risk management teams (such as Trust team, and Safety team), third party adjusters, our partners, Product Management, Global Crisis Management, Community support, Policy, Privacy Legal teams to strengthen Airbnb’s platform. You will adapt your function to Aircover Scaled Operation and Optimization Priorities, in addition to owning planning and strategy while also helping to set targets for your team. You will present findings at Monthly, Quarterly and Annual Business Reviews. You will build, foster and support your team, while holding team members accountable to expectations and performance. A Typical Day: Manage a team of Fraud Investigators with care and empathy, challenging them to meet and exceed expectations in terms of service delivery Take ownership for the team’s quality, accuracy and metrics performance whilst holding team members accountable to their own individual performance & quality goals by closely monitoring result trends, setting clear expectations, following-up individually and coaching regularly to develop and improve their skills and behaviors in a tailored way. Work closely with cross-functional teams to manage emerging Aircover related risks / threats while enabling business growth and main good customer experience in various markets. Proactively look for new capabilities to help collect, analyze, and disseminate actionable risk intelligence Develop the knowledge and expertise of the Fraud Investigation team. Oversight of team performance and communication with internal partners. Guidance and direction for the team on specific complex fraud investigations. Develop and implement effective strategies to detect and prevent fraudulent Aircover claims. Collaborate with internal departments, such as other Aircover Ops teams, legal, Trust, CS safety to share fraud-related insights, improve fraud prevention measures, and enhance overall operational efficiency. Utilize data analytics tools and techniques to identify patterns, trends, and anomalies indicative of fraudulent activities. Work with internal stakeholders to develop and deliver training programs to enhance fraud awareness among staff members and promote a culture of fraud prevention throughout the organization. Prepare comprehensive reports and present findings to senior management, highlighting key fraud-related metrics, trends, and recommendations for process improvements. Your Expertise: 5+ years’ experience in risk management space, preferably in high tech and/or matrixed global organizations. 2+ years’ experience in a people manager role and strong track record of leading, recruiting, and coaching high performing teams. Demonstrated abilities and experience in fast paced fraud investigations space, preferably in the fintech / insurance space Thorough knowledge of fraud investigations, intelligence tradecraft, systems, processes and governance Strong metrics-based performance management & coaching skills. Ability to solve problems and resolve conflict independently, collaboratively, or through delegation including handling challenging customer conversations. Strong verbal and written communication skills, with the ability to explain complex topics to diverse audiences. Skilled in presenting complex and sensitive customer issues, and making clear, concise recommendations on the course of action. Should have an excellent track record of leading with empathy and inspiring teams to achieve exceptional results in performance and quality Should have a deep understanding of the customer journey and what great looks like for the claims handling experience Should work independently to manage end-to-end people strategy and operations within the team, seeking additional guidance only in complex situations Can manage competing priorities whilst establishing clear expectations and clarity among key stakeholders Should be passionate about developing and mentoring your team to reach their full potential Proven ability to identify and cultivate relationships with key stakeholders representing a broad range of functions and levels. Analytical skills to review customer feedback and data to identify trends, issues, and opportunities for challenging the status quo through process improvement. Use data to make informed decisions and work independently with rapidly changing priorities. Solution and outcome-oriented with an ability to balance fraud prevention alongside a positive customer experience. A regular work schedule of 5 days per week (40 hours), mutually agreed with your Manager, which may include weekend days and company wide / public holidays, in 24*7 rotational shifts environment. Ability to work in a global, fluid environment while possessing an intense focus to execute at a high quality to completion Understanding of ‘Third Party Administrators/Adjusters’ concepts is a plus Strong knowledge of fraud prevention: Understand techniques, investigative methodologies, and legal aspects related to fraud investigations Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. India Annual Pay Range ₹1,370,000—₹1,790,000 INR", "summaryDescription" : "Supervisor, Fraud Investigations at Airbnb. Skills: Fraud Investigations, Risk Management, Team Leadership. Lead fraud investigations team. Identify fraudulent Aircover claims", "postedDate" : "2026-06-16T01:17:47.888", "createdAt" : "2026-06-16T01:17:47.888", "lastUpdated" : "2026-06-16T12:13:45.864", "ingestTimestamp" : "2026-06-16T01:17:47.888", "mongoId" : "6a307adef292fd229c04129a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Fraud detection", "Fraud prevention", "Risk mitigation", "Claim assessment", "Data analytics", "Leadership", "Mentoring", "Fraud Investigations", "Risk Management", "Team Leadership", "Risk management", "Fraud investigations", "People management", "Performance management", "Coaching", "Aircover platform", "Data analytics tools" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 547.16925, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176b974d8ee00a0c1aae9", "title" : "Investigation Associate, PQ Ops", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate in Hyderabad, India, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T06:59:37.670", "fingerprint" : "621812866577261fc2c5af56da2ce8b164388a9f892791161c6b66a93098910b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435805/apply", "externalId" : "152b829c-e37a-4cac-9180-596f820be01b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Risk management", "Process management" ], "hardSkillsList" : [ "Transaction investigation", "Data analysis" ], "hardSkills" : [ { "name" : "Transaction investigation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Risk investigation, Transaction analysis", "majorSkillsList" : [ "Risk investigation", "Transaction analysis" ], "coreResponsibilities" : "Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External stakeholders", "domainKnowledge" : "Ecommerce payments; Trust and safety", "domainList" : [ "ecommerce-payments", "trust-and-safety" ], "domainSpecificKnowledge" : [ "Ecommerce payments", "Trust and safety" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Problem-solving; Analytical skills; Judgment", "outcomesObjectives" : "Eliminate online ecommerce risk; Achieve high accuracy; Drive business goals", "qualificationsBasic" : "Bachelor's degree or above in a quantitative/technical field", "qualificationsPreferred" : "Experience using Microsoft Excel to analyze data, Ability to transform data into actionable insights", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications: - Experience using Microsoft Excel to analyze data, with the ability to transform data into actionable insights 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" : "Investigation Associate, PQ Ops at Amazon Dev Center India. Skills: Risk investigation, Transaction analysis. Research and evaluate facts surrounding seller transactions. Take appropriate action on investigated transactions", "postedDate" : "2026-06-13T18:39:02.892", "createdAt" : "2026-06-13T18:39:02.892", "lastUpdated" : "2026-06-15T06:59:37.670", "ingestTimestamp" : "2026-06-13T18:39:02.892", "mongoId" : "6a2176b974d8ee00a0c1aae9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435805/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Transaction investigation", "Data analysis", "Risk investigation", "Transaction analysis", "Risk management", "Process management", "Ecommerce payments", "Trust and safety", "Microsoft Excel" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 545.64844, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176b974d8ee00a0c1aaf1", "title" : "Investigation Associate, PQ Ops", "company" : "Amazon Dev Center India", "industry" : "Administrative Support, Investigation, no business category", "salary" : { "min" : 850000.0, "max" : 1350000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Investigation Associate, PQ Ops in Hyderabad, India, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T10:49:19.996", "fingerprint" : "a340512aae498e6b7c9a666a2a40bc2dd92ef1a8312a259810ff898a040918f6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435799/apply", "externalId" : "954961bc-e4ff-432d-9971-88bbee497b54", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Risk management", "Transaction investigation" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Risk investigation, Process adherence", "majorSkillsList" : [ "Risk investigation", "Process adherence" ], "coreResponsibilities" : "Research and evaluate facts surrounding seller transactions, Take appropriate action on investigated transactions, Document actions by providing detailed annotations, Communicate with external customers via phone or email, Communicate with internal customers and peers, Understand the issue and make best use of, Systematically escalate problems or variance in information, Communicate with internal and external stakeholders, Understand performance metrics to create analysis, Meet predetermined and assigned productivity targets, Meet quality standards", "teamCollaboration" : "Internal customers and peers; Department management; Risk analysts; Risk engineers; Other company associates", "domainKnowledge" : "Ecommerce payments; Trust and safety", "domainList" : [ "ecommerce-payments", "trust-and-safety" ], "domainSpecificKnowledge" : [ "Ecommerce payments", "Trust and safety" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Detailed annotations", "problemSolvingSkills" : "Individual problem-solving; Analytical skills", "outcomesObjectives" : "Elimination of online ecommerce risk; Achieve productivity targets; Meet quality standards", "qualificationsBasic" : "Bachelor's degree or above in a quantitative/technical field", "qualificationsPreferred" : "Experience using Microsoft Excel to analyze data, Ability to transform data into actionable insights", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon India is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Transaction Risk Management Team in Bangalore. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. Ideal applicants will have experience in the ecommerce payments space, previous trust and safety experience, and experience succeeding in a customer-driven workplace. All candidates will be analytical and capable of succeeding in a fast-paced team environment. These Investigators position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate customers and complex transactions. Nearly all decisions are expected to be made independently with little to no guidance and a high degree of accuracy. The Transaction Risk Investigator will be required to engage in frequent written and verbal communication with department management, risk analysts, risk engineers, other company associates to accomplish goals. They may also be required to contact customers by phone. Productivity and quality assurance will be evaluated along with the overall contribution to the development of the department. Key job responsibilities This includes, but is not limited to: • Researches and evaluates facts surrounding seller transactions • Takes appropriate action on investigated transactions based on established standard operation procedure and tools • Documents their actions by providing detailed annotations • Communicates with external customers via phone or email during the investigation process • Communicates with internal customers and peers in person, via email, annotations and phone during and following the investigation process • Understand the issue and make best use of the available resources to resolve it • Systematically escalate problems or variance in the information to the relevant owners/ teams according to processes and standard • Communicate with internal and external stakeholders • Understand performance metrics to create analysis for driving business goals • Meet predetermined and assigned productivity targets and quality standards Basic Qualifications: - Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications: - Experience using Microsoft Excel to analyze data, with the ability to transform data into actionable insights 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" : "Investigation Associate, PQ Ops at Amazon Dev Center India. Skills: Risk investigation, Process adherence. Research and evaluate facts surrounding seller transactions. Take appropriate action on investigated transactions", "postedDate" : "2026-06-13T18:33:07.789", "createdAt" : "2026-06-13T18:33:07.789", "lastUpdated" : "2026-06-15T10:49:19.996", "ingestTimestamp" : "2026-06-13T18:33:07.789", "mongoId" : "6a2176b974d8ee00a0c1aaf1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435799/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Risk investigation", "Process adherence", "Risk management", "Transaction investigation", "Ecommerce payments", "Trust and safety", "Microsoft Excel" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 545.42426, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f082beec4dd3d9342ef", "title" : "Data Solutions Lead, Data Collection Excellence", "company" : "ADCI HYD 16 SEZ", "industry" : "Machine Learning Science, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Data Solutions role in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:22:24.653", "fingerprint" : "e7590585d0d2ab9c8981ce8bccc7bb0a7781de3282c0cd88d31b894a2cd4f95b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381454/apply", "externalId" : "8e5c74de-fec5-435a-8ef8-565055fb6f00", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python", "professionalSkills" : [ "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios" ], "hardSkillsList" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "ML data operations", "level" : "intermediate" }, { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "ML workflows", "level" : "intermediate" }, { "name" : "ML concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "ML data solutions, GenAI data collections", "majorSkillsList" : [ "ML data solutions", "GenAI data collections" ], "coreResponsibilities" : "Drive ML/GenAI solutions, Document ML/GenAI solutions, Transform research objectives, Coordinate across teams, Ensure seamless delivery, Ensure stakeholder alignment, Own customer relationships, Provide consultation on ML workflow capabilities, Monitor collection health metrics, Optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Guide customers on workflow feasibility, Guide customers on data collection best practices, Collaborate with implementation teams, Define technical requirements, Validate technical requirements, Evaluate scalability of annotation scenarios, Provide strategic recommendations, Influence technical documentation, Influence technical guidelines", "teamCollaboration" : "Cross-functional teams; Customer scientists", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "ML data operations; Data annotation; ML workflows; ML concepts; GenAI data collections", "domainList" : [ "ml-data-operations", "data-annotation", "ml-workflows", "ml-concepts", "genai-data-collections" ], "domainSpecificKnowledge" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts", "GenAI data collections" ], "toolProficiency" : [ "JSON", "Command Line" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Deliver meaningful change for models; Delight customers", "qualificationsBasic" : "Bachelor's degree or equivalent work experience, Experience working with customers, Analytical skills, Attention to detail, Effective communication abilities, Experience defining data creation strategies, 2+ years ML data operations, Understanding of data annotation/ML workflows, Translate complex technical concepts", "qualificationsPreferred" : "Bachelor's degree in Computer Science or related field, Experience in project management, 2+ years technical support experience, Experience in leadership, Experience in account management, Working knowledge of JSON, Working knowledge of Command Line, Working knowledge of Python, Background in customer success, Background in solution consulting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them. Key job responsibilities Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements Coordinate across teams to ensure seamless delivery and stakeholder alignment Own relationships with customer scientists, becoming their go-to partner for ML data solutions Provide consultation on ML workflow capabilities, helping customers maximize value Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Guide customers on workflow feasibility and data collection best practices Collaborate with implementation teams to define and validate technical requirements Evaluate scalability of annotation scenarios and provide strategic recommendations Influence technical documentation and guidelines Basic Qualifications: - Bachelor's degree in a relevant field or equivalent work experience - Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Demonstrated experience in effectively defining optimal data creation strategies and executing them - 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts - Ability to translate complex technical concepts into tactical applications Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - Experience in project management - 2+ years of technical support experience, or experience in leadership or account management positions - Working knowledge of JSON, Command Line, and Python - Background in customer success or solution consulting 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" : "Data Solutions Lead, Data Collection Excellence at ADCI HYD 16 SEZ. Skills: ML data solutions, GenAI data collections. Drive ML/GenAI solutions. Document ML/GenAI solutions", "postedDate" : "2026-06-13T01:30:07.233", "createdAt" : "2026-06-13T01:30:07.233", "lastUpdated" : "2026-06-15T01:22:24.653", "ingestTimestamp" : "2026-06-13T01:30:07.233", "mongoId" : "69cf3f082beec4dd3d9342ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381454/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ML data operations", "Data annotation", "ML workflows", "ML concepts", "Leadership", "ML data solutions", "GenAI data collections", "Technical advisory", "Partnership building", "Customer relationships", "Workflow capabilities", "Collection health metrics", "Workflow feasibility", "Annotation scenarios", "Project management", "JSON", "Command Line" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 545.328, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 32807, "totalPages" : 657, "hasNext" : true, "hasPrevious" : false } }

Interpretation Of Data Collected During Site Investigation Jobs in Toronto

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Common Questions