{ "count" : 29308, "data" : [ { "id" : "6a2176d474d8ee00a0c1afeb", "title" : "Program Manager (Speed and Contingency), BR Speed and Ops Excellence Team", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Project/Program/Product Management--Non-Tech, Supply Chain Management, fulfillment ops", "salary" : { "min" : 180000.0, "max" : 275000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Program Manager in Sao Paulo, Brazil, adjusted for the Logistics industry and Manager experience level." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T04:35:46.678", "fingerprint" : "444465870dec80b7e422cce5e71b6bd919a03f6452df330e8b2e5352fe8616cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438135/apply", "externalId" : "ae56ba2d-9067-417f-b654-c9223cefafcb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Process improvement", "Supply chain" ], "hardSkillsList" : [ "Excel", "SQL", "Program management", "Project management", "Process improvement", "Data analysis", "Metrics analysis", "Supply chain management" ], "hardSkills" : [ { "name" : "Excel", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics analysis", "level" : "intermediate" }, { "name" : "Supply chain management", "level" : "intermediate" } ], "majorSkills" : "Program management, Operational contingency, Speed initiatives, Stakeholder management", "majorSkillsList" : [ "Program management", "Operational contingency", "Speed initiatives", "Stakeholder management" ], "coreResponsibilities" : "Own end-to-end project management of speed initiatives, Track milestones, dependencies, and risks, Ensure on-time deployment of speed improvements, Manage padding configurations, Align UDD across all miles, Identify and resolve misalignment, Build Brazil's operational contingency plan, Partner with central teams, Serve as centralized point of contact, Drive cross-mile alignment for speed plan execution, Synchronize FC departure times, Synchronize Sort Center processing windows, Synchronize linehaul schedules, Synchronize last-mile delivery windows, Inspect and report on speed plan deployment health, Track initiatives on track, at risk, or blocked, Drive accountability across mile owners, Own contingency activation process during disruptions, Coordinate across operations teams, Trigger contingency protocols, Adjust paddings in real-time, Communicate impact to stakeholders, Lead post-event retrospectives, Maintain risk register for speed initiatives, Proactively identify dependencies, Proactively identify resource constraints, Proactively identify cross-team blockers, Escalate early, Propose mitigation paths, Document operational playbooks, Standardize operational playbooks, Test contingency plans, Update contingency plans", "teamCollaboration" : "Cross-mile alignment; Partner with central teams; Work cross functionally", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Transportation network; Operational contingency; Speed initiatives; Customer experience; Prime Day; Black Friday; Regional peaks", "domainList" : [ "transportation-network", "operational-contingency", "speed-initiatives", "customer-experience", "prime-day", "black-friday", "regional-peaks" ], "domainSpecificKnowledge" : [ "Transportation network", "Operational contingency", "Speed initiatives", "Customer experience", "Prime Day", "Black Friday", "Regional peaks" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Business English", "documentationSkills" : "Document playbooks", "problemSolvingSkills" : "Root cause analysis; Mitigation paths", "outcomesObjectives" : "Ensure on-time deployment; Protect customer experience; Maintain deployment timelines; Improve future resilience", "qualificationsBasic" : "Bachelor's degree, Advanced Excel (Pivot Tables, VLookUps), Advanced SQL, Business English skills, Program or project management experience, Experience defining and implementing process improvement initiatives using data and metrics, Supply chain experience", "qualificationsPreferred" : "Stakeholder management experience, Experience building processes, Project management experience, Schedule building experience, Experience defining and executing program requirements, Experience using data and metrics to determine improvements, Experience working cross functionally with tech and non-tech teams, Experience driving end to end delivery, Experience communicating results to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Brazil is seeking a Program Manager to own the deployment of speed initiatives and operational contingency planning across all miles of the transportation network. This role ensures that speed programs loaded in OP cycles are executed on time, with proper cross-mile alignment, and that Brazil's operations maintain resilience through robust contingency mechanisms. The candidate will act as the central PM connecting planning to execution — ensuring paddings, UDDs, and mile-level configurations are aligned with speed commitments, while building and maintaining contingency playbooks that protect customer experience during disruptions. This role requires strong stakeholder management across local and international teams (ROW), operating as the connective tissue between strategy and operational deployment. Key job responsibilities Own the end-to-end project management of speed initiatives loaded in operational plans, tracking milestones, dependencies, and risks across all miles (FCs, First Mile, Middle Mile, Last Mile) to ensure on-time deployment of speed improvements committed in planning cycles. Manage padding configurations and UDD alignment across all miles, ensuring that padding values reflect operational reality, speed targets are achievable, and any misalignment between miles is identified and resolved before it impacts customer promises/deliveries. Build and maintain Brazil's operational contingency plan, partnering with central teams, and serving as a point of contact centralized for BR operations. Drive cross-mile alignment for speed plan execution: ensuring FC departure times, Sort Center processing windows, linehaul schedules, and last-mile delivery windows are synchronized to deliver the speed promise without creating upstream or downstream bottlenecks. Inspect and report on speed plan deployment health through WBR/MBR mechanisms — tracking which initiatives are on track, at risk, or blocked, and driving accountability across mile owners to maintain deployment timelines. Own the contingency activation process during disruptions: coordinating across operations teams to trigger contingency protocols, adjust paddings in real-time, communicate impact to stakeholders, and lead post-event retrospectives to improve future resilience. Maintain a risk register for all active speed initiatives, proactively identifying dependencies, resource constraints, and cross-team blockers — escalating early and proposing mitigation paths. Document and standardize operational playbooks for recurring events (Prime Day, Black Friday, regional peaks), ensuring contingency plans are tested, updated, and ready for activation with minimal lead time. Basic Qualifications: - Bachelor's degree - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience in Business English skills, both verbal and written - Experience in program or project management - Experience in defining and implementing process improvement initiatives using data and metrics - Experience in supply chain Preferred Qualifications: - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules - Experience defining and executing program requirements and using data and metrics to determine improvements - Experience working cross functionally with tech and non-tech teams - Experience in driving end to end delivery, and communicating results to senior leadership 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" : "Program Manager (Speed and Contingency), BR Speed and Ops Excellence Team at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Program management, Operational contingency, Speed initiatives, Stakeholder management. Own end-to-end project management of speed initiatives. Track milestones, dependencies, and risks", "postedDate" : "2026-06-13T15:55:18.693", "createdAt" : "2026-06-13T15:55:18.693", "lastUpdated" : "2026-06-15T04:35:46.678", "ingestTimestamp" : "2026-06-13T15:55:18.693", "mongoId" : "6a2176d474d8ee00a0c1afeb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438135/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Excel", "SQL", "Program management", "Project management", "Process improvement", "Data analysis", "Metrics analysis", "Supply chain management", "Operational contingency", "Speed initiatives", "Stakeholder management", "Supply chain", "Transportation network", "Customer experience", "Prime Day", "Black Friday", "Regional peaks" ], "skillCount" : 17, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a10b5a258b93c861e1f9e45", "title" : "Electrical Design and Test Engineer Battery/Power", "company" : "Jacobs", "industry" : "Government", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical Design and Test Engineer in Houston, adjusted for mid-seniority and the aerospace industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-16T07:29:28.784", "fingerprint" : "d4a23abf21dec9739a85bda0832586c7ed3b870bc696d14171f976b4d148ffea", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324975", "externalId" : "324975", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Electrical Engineering, Voltmeters, Oscilloscopes, Power supplies, Data acquisition, LabView, CAD, FPGA, CREO, MatLab, Altium, Igor, Graphite", "professionalSkills" : [ "Work priorities", "Technical excellence", "Technical products" ], "hardSkillsList" : [ "Electrical design", "Electrical testing", "System troubleshooting", "Drawing creation", "Procedure creation" ], "hardSkills" : [ { "name" : "Electrical design", "level" : "intermediate" }, { "name" : "Electrical testing", "level" : "intermediate" }, { "name" : "System troubleshooting", "level" : "intermediate" }, { "name" : "Drawing creation", "level" : "intermediate" }, { "name" : "Procedure creation", "level" : "intermediate" } ], "majorSkills" : "Electrical Design, Test Fixtures, Energy Systems", "majorSkillsList" : [ "Electrical Design", "Test Fixtures", "Energy Systems" ], "coreResponsibilities" : "Provide sustaining support, Work with hardware, Work with software, Design hardware, Design software, Install hardware, Install software, Test hardware, Test software, Troubleshoot hardware, Troubleshoot software, Create hardware drawings, Create software drawings, Create hardware procedures, Create software procedures, Troubleshoot with electrical test equipment, Design unique test fixtures, Design unique test methods, Provide support in Energy Systems Test Area, Perform electrical engineering design, Perform test functions, Perform maintenance functions, Maintain technical excellence, Ensure quality of technical products, Generate documentation", "teamCollaboration" : "Work in a team environment", "projectManagementSkills" : [ "Planning", "Work priorities" ], "domainKnowledge" : "Electrical Engineering field; Energy Systems; Space exploration; International Space Station; Orion; Commercial Crew", "domainList" : [ "electrical-engineering-field", "energy-systems", "space-exploration", "international-space-station", "orion", "commercial-crew" ], "domainSpecificKnowledge" : [ "Electrical Engineering field", "Energy Systems", "Space exploration", "International Space Station", "Orion", "Commercial Crew" ], "toolProficiency" : [ "MS Office", "Excel", "PowerPoint", "Word", "Outlook", "National Instruments", "LabView", "Diadem", "CREO", "MatLab", "Altium", "Igor", "Graphite" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Documentation generation", "continuousLearning" : "Personal career growth; Professional career growth", "innovationCreativity" : "Creative ideas", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Proof of U.S. Citizenship, U.S Permanent Residency, Background investigation, Office environment, Inside work, Outside work, Sitting for extended periods, Standing for extended periods, Lifting up to 25 lbs, Standard office equipment, Regular attendance, Work outside normal schedule, Adjust schedule, Professional behavior, Appropriate grooming, Appropriate dress", "qualificationsBasic" : "Bachelor's degree in Engineering, 2-5 years of experience, Familiar with standard concepts, Electrical design experience, Familiar with electrical test equipment, Experience troubleshooting systems, Creating drawings and procedures, Proficient in MS Office programs, Experience planning work priorities", "qualificationsPreferred" : "BS degree in engineering, 5 years of related experience, MS degree in engineering, 4 years of related experience, Ph.D. in engineering, 0 years of related experience, Experience with National Instruments, Experience with LabView, Experience with Diadem, Experience with CAD, Experience with instrumentation, Experience with data acquisition, Experience with controls, Experience with FPGA, Experience with real time Data Acquisition, Experience with Control systems, Exposure to thermal systems, Exposure to vacuum systems, Experience with CREO, Experience with MatLab, Experience with Altium, Experience with Igor, Experience with Graphite", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. Jacobs is NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We are looking for an Electrical Design and Test Engineer Battery/Power to join our team with JETS II teammate company. The selected candidate will: Provide support including sustaining and working with hardware and software in the areas of design, installation, testing and troubleshooting. This includes creating hardware and software system design and installation drawings and procedures, troubleshooting with electrical test equipment (i.e. voltmeters, oscilloscopes, power supplies, etc.). Design unique tests fixtures and methods for advanced development test programs for the International Space Station, Orion and Commercial Crew. Provide support in the Energy Systems Test Area with electrical engineering design, test and maintenance functions. Maintain the high level of technical excellence for all tasks to ensure the highest quality of technical products including test setups, development setups, and documentation generation. Perform other tasks assigned. Required Education/Experience/Skills: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor's degree in Engineering and a minimum of 2- 5 years of experience in the field or in a related area. Must be familiar with standard concepts, practices, and procedures within the Electrical Engineering field. Must have electrical design experience. Must be familiar with electrical test equipment (i.e. voltmeters, oscilloscopes, power supplies, etc.). Must have experience troubleshooting systems as well as creating drawings and procedures for electrical systems. Proficient in MS Office programs, particularly Excel, PowerPoint, Word and Outlook. Experience planning and establishing work priorities. Excellent communication and organizational skills and the ability to work in a team environment. Requisition Preferences: BS degree in engineering from an accredited engineering school and five (5) years of related engineering experience, or a MS degree from an accredited engineering school and four (4) years of related engineering experience, or Ph.D. from an accredited engineering school and zero (0) years of related experience. Experience with National Instruments data acquisition equipment and software (LabView) and Diadem. Experience with CAD, instrumentation, data acquisition and controls. Experience with FPGA and real time Data Acquisition and Control systems. Exposure to environments such as thermal and vacuum systems. Experience with other software packages such as CREO, MatLab, Altium, Igor, and Graphite. Why Work on Our Team? Click on the below links to view just a small sample of all that we do! Come join our team and be part of our future. We look forward to seeing you! See What We Do Jacobs Aerospace Solutions Overview (Please view in Chrome or Microsoft Edge) In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off) Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center(JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency is a requirement for this position . Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Electrical Design and Test Engineer Battery/Power at Jacobs. Skills: Electrical Design, Test Fixtures, Energy Systems. Provide sustaining support. Work with hardware", "createdAt" : "2026-06-14T18:52:59.859", "lastUpdated" : "2026-06-16T07:29:28.784", "ingestTimestamp" : "2026-06-14T18:52:59.859", "mongoId" : "6a10b5a258b93c861e1f9e45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Electrical design", "Electrical testing", "System troubleshooting", "Drawing creation", "Procedure creation", "Electrical Design", "Test Fixtures", "Energy Systems", "Work priorities", "Technical excellence", "Technical products", "Planning", "Electrical Engineering field", "Space exploration", "International Space Station", "Orion", "Commercial Crew", "MS Office", "Excel", "PowerPoint", "Word", "Outlook", "National Instruments", "LabView", "Diadem", "CREO", "MatLab", "Altium", "Igor", "Graphite" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. 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" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a210e6374d8ee00a0af740a", "title" : "Senior UX Researcher, Advertising and Measurement", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior UX Researcher in Mountain View, USA, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T12:15:13.414", "fingerprint" : 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"69e1043f2beec4dd3def246a", "title" : "Sr Product Manager, Delivery Speed, Canada Delivery Speed and Experience", "company" : "Amazon.com LLC", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, Retail", "salary" : { "min" : 136000.0, "max" : 184100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:14:53.611", "fingerprint" : "7305f7298bd0d8692cb847902fa3b9b717646ad36f94e82cd94b95324cbcb33d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10388006/apply", "externalId" : "e8faf166-2aaf-4abd-a6ab-8a1cd345f5e7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business model analysis", "Strategic thinking", "Retail supply chain" ], "hardSkillsList" : [ "Data analysis", "Pricing structures" ], "softSkillsList" : [ "Leadership", "Thought clarity", "Analytical skills", "Judgment" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pricing structures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Thought clarity" }, { "name" : "Analytical skills" }, { "name" : "Judgment" } ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Drive vision for new initiative, Drive requirements for new initiative, Build product from ground up, Build feature from ground up, Convert complex data into insights, Propel program growth, Ensure scalability, Lead high-visibility projects, Enhance end-to-end delivery experiences, Optimize customer experience, Partner with Operations teams, Implement on-the-ground improvements, Develop pricing structures, Refine pricing structures, Design A/B tests, Execute A/B tests, Validate improvements", "teamCollaboration" : "Cross-functional collaboration; Collaborate with Operations; Collaborate with Technology; Collaborate with Business Analytics; Collaborate with Design", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition", "Product delivery" ], "domainKnowledge" : "Delivery experience; Customer impact; Retail invention; Canadian marketplaces; Customer-centricity; Supply chain", "domainList" : [ "delivery-experience", "customer-impact", "retail-invention", "canadian-marketplaces", "customer-centricity", "supply-chain" ], "domainSpecificKnowledge" : [ "Delivery experience", "Customer impact", "Retail invention", "Canadian marketplaces", "Customer-centricity", "Supply chain" ], "innovationCreativity" : "Customer impact; Retail invention", "problemSolvingSkills" : "Analytical skills; Data analysis", "outcomesObjectives" : "Improve delivery experience; Meet delivery promises", "qualificationsBasic" : "5+ years product management, 5+ years program management, 5+ years product marketing, 5+ years business development, 5+ years technology experience, Experience with feature delivery, Experience with product tradeoffs, Experience owning roadmap strategy, Experience driving roadmap definition, Experience with end to end product delivery, Experience as product manager, Experience as product owner, Experience owning technology products", "qualificationsPreferred" : "Experience influencing senior leadership, Experience working across functional teams, Experience with senior stakeholders, Generative AI tools usage, Willingness to learn AI prompting, Willingness to learn AI evaluation, Recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we are working to be the most customer-centric company on earth. For millions of customers worldwide, the Amazon name is synonymous with delivery – and the Canada Delivery Speed and Experience (DSE) team provides Canadian customers with innovative ways to get what they want and when they need it, enabling the choices they make on every order, every day. We combine customer impact with retail invention, solving huge technical challenges along the way. As a Sr Product Manager for team Canada, you will have an opportunity to work with one of Amazon’s fastest growing marketplaces and help improve the delivery experience for our Canadian customers. You will be responsible for shaping the future of our delivery experience and help Amazon meet our delivery promises seamlessly. As a Product Leader, you will use a combination of leadership skills, thought clarity, analytical skills, cross-functional partnership, business model analysis, and strategic thinking to innovate on behalf of our customers. You thrive on working with cutting-edge technology and have a strong understanding of retail supply chain. You also have a proven track record of owning and delivering world-class experiences that raise-the-bar from an innovation, usability, and design perspective. Lastly, you deliver results in an ambiguous, fast-paced, dynamic business environment and are highly comfortable exercising fantastic judgment across a spectrum of highly diverse problems. Key job responsibilities * Drive the vision and requirements for a new strategic initiative, building the product or feature from the ground up * Convert complex data into actionable insights to propel program growth and ensure scalability * Lead high-visibility projects focused on enhancing end-to-end delivery experiences * Collaborate cross-functionally with Operations, Technology, Business Analytics, Design, and other Amazon teams * Optimize customer experience across Amazon platforms and apps * Partner with Operations teams to implement on-the-ground improvements * Develop and refine pricing structures * Design and execute A/B tests to validate improvements Basic Qualifications: - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree or equivalent - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience as a product manager or owner - Experience owning technology products Preferred Qualifications: - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 136,000.00 - 184,100.00 USD annually", "summaryDescription" : "Sr Product Manager, Delivery Speed, Canada Delivery Speed and Experience at Amazon.com LLC. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Drive vision for new initiative. 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Electrical teams; Firmware teams; Mechanical teams", "domainKnowledge" : "Robotics; Humanoid robots; Embedded systems; PCB design", "domainList" : [ "robotics", "humanoid-robots", "embedded-systems", "pcb-design" ], "domainSpecificKnowledge" : [ "Robotics", "Humanoid robots", "Embedded systems", "PCB design" ], "toolProficiency" : [ "Oscilloscopes", "Logic analyzers", "DMMs", "Power supplies", "Altium" ], "documentationSkills" : "Document test results; Document procedures", "problemSolvingSkills" : "Problem-solving; Debugging skills; Hands-on mindset", "qualificationsBasic" : "PCBA bring-up experience, Electrical validation experience, Hardware debugging experience, Oscilloscope experience, Logic analyzer experience, DMM experience, Power supply experience, Electronics fundamentals understanding, Power systems understanding, Communication interfaces understanding, Embedded hardware troubleshooting, Electrical subsystems troubleshooting, Read schematics, Debug board-level issues", "qualificationsPreferred" : "Robotics experience, Electromechanical systems experience, Embedded platforms experience, Manufacturing test environments experience, Production support experience, DFT concepts familiarity, Functional test methodologies familiarity, EVT/DVT/PVT builds experience, Test fixture design experience, Hardware-in-the-loop systems experience, Linux-based development experience, Linux-based integration experience, Altium experience, PCB design tools experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. ABOUT THE ROLE As an Electrical Test Engineer on the Core Platform team in Boston, you will support the development and validation of Humanoid’s advanced robotic platforms through hands-on electrical testing, debugging, and integration work. This role is focused on PCBA validation, board bring-up, subsystem testing, and supporting prototype and early production hardware. This is an ideal role for someone who enjoys working directly with hardware in the lab, diagnosing electrical issues, building test setups, and collaborating closely with cross-functional engineering teams. WHAT YOU'LL DO - Perform PCBA Bring-Up & Validation: Support board-level bring-up, electrical validation, and functional testing of PCBAs and electrical subsystems. Execute test procedures and assist in identifying hardware issues during development and integration. - Execute Electrical Debug & Failure Analysis: Debug electrical failures using oscilloscopes, logic analyzers, DMMs, power supplies, and other lab equipment. Assist with root cause analysis and verification of corrective actions across boards and integrated systems. - Build & Maintain Test Fixtures: Assemble and maintain test fixtures, harnesses, breakout boards, and lab setups used for engineering validation and production testing. - Support System Integration Testing: Work closely with electrical, firmware, and mechanical teams to validate subsystem functionality within robotic platforms. Help troubleshoot issues spanning power systems, communication interfaces, sensors, and embedded hardware. - Assist with Manufacturing & Production Test: Support EVT/DVT/PVT builds and early manufacturing activities by executing functional testing, troubleshooting failures, and improving test processes. - Document Test Results & Procedures: Maintain clear documentation for test procedures, validation results, debugging findings, and hardware issues to support engineering and manufacturing teams. WHAT WE'RE LOOKING FOR - Experience with PCBA bring-up, electrical validation, and hardware debugging - Hands-on experience working with oscilloscopes, logic analyzers, DMMs, power supplies, and related lab equipment - Strong understanding of electronics fundamentals, including power systems and communication interfaces - Experience troubleshooting embedded hardware and electrical subsystems - Ability to read schematics and debug board-level issues - Comfortable working in fast-paced hardware development environments - Strong problem-solving and debugging skills with a hands-on mindset NICE TO HAVE - Experience with robotics, electromechanical systems, or embedded platforms - Exposure to manufacturing test environments or production support - Familiarity with DFT concepts and functional test methodologies - Experience supporting EVT/DVT/PVT builds - Experience with test fixture design or hardware-in-the-loop systems - Familiarity with Linux-based development or integration environments - Exposure to Altium or other PCB design tools WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.", "summaryDescription" : "Electrical Test Engineer at Humanoid. 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We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. This new highly cross-functional initiative brings together critical expertise from a wide-range of Amazon teams dedicated to meeting and exceeding customer expectations through innovative validation processes and Amazon operational excellence. We are seeking a Manager, Test and Technical Engineering to lead a global team of critical to quality engineering teams across Manufacturing Test Engineers, System Engineers, Automation and Process Engineers. This leader will work in conjunction with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment. This is a rare opportunity to shape manufacturing test strategy from the ground up, directly impacting the speed and quality at which AI infrastructure reaches customers. We're looking for an engineering leader who thrives at the intersection of hardware, software, and manufacturing and re-manufacturing operations. You'll own the end-to-end manufacturing network and test ecosystem — from early prototype builds through high-volume production and sustaining — across server (L10) and rack-level (L11/L12) integration. This role requires someone who doesn't just find problems but owns the fix, builds self-remedy capabilities, and relentlessly drives uptime and automation. AWS Manufacturing & Repair is a part of the broader AWS Infrastructure Services team which owns the design, planning, delivery, and operation of all AWS global infrastructure. We are the teams 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. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! This role directly supports physical manufacturing environments across multiple locations with travel expected 25% of the time. Key job responsibilities Lead and develop a team of engineers to support the reliability of the products being manufactured where the automation and build/test is critical to safety for our Builders and critical to quality for customers. Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking. Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines. Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line. Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale. Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions Own Uptime & Yield: Monitor functional test yield across shifts, lead triage efforts for test-station failures, and drive weekly production quality reviews with cross-functional partners. Collaborate Across Teams: Work closely with hardware design, firmware, process engineering, quality, and operations teams to ensure test requirements are aligned and products are designed for efficient, high-quality manufacturing. Guide Fixture & Infrastructure Design: Partner on test fixture design and procurement, ensuring alignment to cost, scalability, and schedule requirements; engage in RFQ processes for optimal end-to-end test solutions. Support New Product Introduction (NPI): Support partner teams in the development of test solutions for new product builds, from concept prototypes through production ramp, ensuring readiness at each phase gate. Sustain & Improve: Provide ongoing support for deployed test systems, implement configuration changes for new product variants, and maintain comprehensive documentation of test procedures, specifications, and infrastructure. Provide Feedback Upstream: Deliver actionable design-for-test (DFT) feedback to hardware and firmware development teams to improve testability and manufacturing efficiency for future platforms. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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. Basic Qualifications: - 5+ years of management experience - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Knowledge of the electrical and mechanical systems involved in critical data center operations including systems such as feeders, transformers, generators, switchgear, UPS systems, ATS units, PDU units, chillers, pumps, air handling units, and CRAC units - Experience hiring, developing, and managing high-performing technical teams - Experience in manufacturing environment for data center hardware components or other critical to quality technical industries Preferred Qualifications: - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, and OSHA - Experience owning the operation of a mission-critical team or product - Experience with large-scale technical operations or large-scale compute farms - Experience with process improvement techniques such as Kaizen, Lean Manufacturing or Six Sigma 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, KY, Florence - 153,200.00 - 254,500.00 USD annually USA, TX, Austin - 153,200.00 - 254,500.00 USD annually USA, WA, Bellevue - 153,200.00 - 254,500.00 USD annually", "summaryDescription" : "Manager, Test and Technical Engineering at Amazon Data Services, Inc.. Skills: Software development, People management, Cloud computing. Manage a team of software engineers. Design and develop scalable software solutions", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:56:46.891", "lastUpdated" : "2026-06-16T07:22:57.615", "ingestTimestamp" : "2026-06-15T21:56:46.891", "mongoId" : "6a30564bf292fd229cf26f23", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448533/apply", "salaryAnnualMin" : 153200, "salaryAnnualMax" : 254500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "People management", "Cloud platforms", "Distributed systems", "Cloud computing", "System design", "Project management", "Team leadership", "Agile methodologies", "Machine learning", "Large-scale data processing" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26122beec4dd3d90b446", "title" : "EVS Equipment and Supply Tech", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 37000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level EVS Equipment and Supply Tech in Tampa, FL, adjusted for the healthcare industry and company size." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "timestamp" : "2026-06-16T02:28:17.203", "fingerprint" : "c5b18cac3775d61d2989b2513dc76f0f30fef1bcdd5baf0fa9056a64d1c8a2e8", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676634", "externalId" : "676634", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "High School", "experienceMinYears" : 3, "experienceMaxYears" : 6, "coreResponsibilities" : "Prepare supply orders for Environmental Services Aide, Conduct weekly inventory of supplies, Prepare supply request and submit to purchasing, Wash and dry mops, Wash and dry dust mops, Wash and dry window treatments, Wash and dry cubicle curtains", "domainKnowledge" : "Environmental services; Hospital setting", "domainList" : [ "environmental-services", "hospital-setting" ], "domainSpecificKnowledge" : [ "Environmental services", "Hospital setting" ], "specialRequirements" : "Direct supervision of Director and Assistant Director", "qualificationsBasic" : "Completion of 10th grade, 3-6 months experience in environmental services, Ability to follow oral and written instructions, Ability to lift minimum of 25lbs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under the direct supervision of Director and Assistant Director of Environmental Services, the storeroom aide is responsible for preparing supply orders for the Environmental Services Aide, as well as conducts weekly inventory of supplies. Once weekly, prepares orders supply request and submits to purchasing. Daily washes and dries mops/dust mops/window treatments and cubicle curtains for the department by utilizing department washer and dryer. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Ability to follow oral and written instructions. Ability to lift minimum of 25lbs. Completion of 10th grade or Three to six months (3-6) of experience in environmental services in a hospital setting. Tampa", "summaryDescription" : "EVS Equipment and Supply Tech at Tampa General Hospital. Prepare supply orders for Environmental Services Aide. Conduct weekly inventory of supplies", "createdAt" : "2026-06-14T18:49:55.750", "lastUpdated" : "2026-06-16T02:28:17.203", "ingestTimestamp" : "2026-06-14T18:49:55.750", "mongoId" : "69cf26122beec4dd3d90b446", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Environmental services", "Hospital setting" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f7274d8ee00a0955693", "title" : "Automation and Equipment Engineering Intern", "company" : "Veracyte", "industry" : "Biotech", "salary" : { "min" : 48000.0, "max" : 68000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Automation and Equipment Engineering Intern in San Diego, biotech industry, adjusted for company size and seniority." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-15T09:15:22.701", "fingerprint" : "3e6cbd3c83942fefb0b74c3e6bf52cef862d14ebfc0f0fba82522e26562d92eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://veracyte.com/job-detail?gh_jid=5162435007", "externalId" : "5162435007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python", "professionalSkills" : [ "Process improvement", "Inventory management" ], "hardSkillsList" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods" ], "hardSkills" : [ { "name" : "Equipment calibration", "level" : "intermediate" }, { "name" : "Equipment verification", "level" : "intermediate" }, { "name" : "Equipment validation", "level" : "intermediate" }, { "name" : "Equipment reliability", "level" : "intermediate" }, { "name" : "Equipment repair", "level" : "intermediate" }, { "name" : "Liquid handling methods", "level" : "intermediate" } ], "majorSkills" : "Automation Engineering, Equipment Engineering, Laboratory Automation", "majorSkillsList" : [ "Automation Engineering", "Equipment Engineering", "Laboratory Automation" ], "coreResponsibilities" : "Support process improvement projects, Support automation projects, Explore development of lab automation scripts, Explore integration with multiple devices, Assist with inventory management, Maintain a safe lab environment, Adhere to safety protocols, Adhere to quality protocols, Present project progress, Present data, Present technical insights", "teamCollaboration" : "Working with software systems; Working with physical systems; Contributing as part of a team", "domainKnowledge" : "Cancer diagnostics; Laboratory Automation", "domainList" : [ "cancer-diagnostics", "laboratory-automation" ], "domainSpecificKnowledge" : [ "Cancer diagnostics", "Laboratory Automation" ], "documentationSkills" : "Document work clearly", "continuousLearning" : "Learn and grow within a purpose driven environment", "innovationCreativity" : "Pursue bold ideas", "problemSolvingSkills" : "Solving practical problems", "specialRequirements" : "Part time, 20-30 hours a week, Approximately 12 weeks, June-September", "qualificationsBasic" : "Bachelor's degree in engineering, Bachelor's degree in computer science, Bachelor's degree in biology, Minimum cumulative GPA of 3.0, Working knowledge of Python, Attention to detail, Organizational skills, Ability to follow written procedures, Document work clearly", "qualificationsPreferred" : "Previous lab experience in biotech, Working in an academic lab is a plus, Communication skills, Willingness to collaborate across teams", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position: Veracyte is seeking an exceptional candidate for a summer internship in the Automation and Equipment Engineering teams. The Automation team is responsible for designing, programming, implementing, and maintaining complex automated liquid handling methods to support cancer patient diagnostics. Additionally, the Equipment Engineering team is responsible for the calibration, verification, validation, reliability, and repair of common and complex equipment within Veracyte’s laboratories. This role is a fantastic opportunity to gain hands-on, applied skills in the cutting-edge field of Laboratory Automation and Equipment Engineering, gaining experience with industry-leading equipment and tools. The role will be part time, 20-30 hours a week, for approximately 12 weeks from June-September at our labs in San Diego, California. What You’ll do: Support process improvement and automation projects within the laboratory Explore development of lab automation scripts and integration with multiple devices using python Assist with inventory management of equipment spare parts Maintain a safe and organized lab environment, strictly adhering to all safety and quality protocols Present project progress, data, and technical insights to the team and department Who You Are: You are curious, organized, and motivated to learn by doing. You enjoy solving practical problems, working with both software and physical systems, and contributing as part of a team. Candidates must be able to work from 9:00 a. m. - 5:30 p.m., Monday through Friday in our San Diego, CA laboratory facilities. Qualifications Currently pursuing a Bachelor's degree in engineering, computer science, biology, or a related technical field minimum cumulative GPA of 3.0 Working knowledge of Python Strong attention to detail and organizational skills Ability to follow written procedures and document work clearly Comfortable working in a laboratory or technical environment Previous lab experience in biotech or working in an academic lab is a plus Strong communication skills and willingness to collaborate across teams #LI-Onsite The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $23—$27 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com", "summaryDescription" : "Automation and Equipment Engineering Intern at Veracyte. Skills: Automation Engineering, Equipment Engineering, Laboratory Automation. Support process improvement projects. Support automation projects", "postedDate" : "2026-06-14T02:14:00.757", "createdAt" : "2026-06-14T02:14:00.757", "lastUpdated" : "2026-06-15T09:15:22.701", "ingestTimestamp" : "2026-06-14T02:14:00.757", "mongoId" : "6a2c7f7274d8ee00a0955693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 68000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment calibration", "Equipment verification", "Equipment validation", "Equipment reliability", "Equipment repair", "Liquid handling methods", "Automation Engineering", "Equipment Engineering", "Laboratory Automation", "Process improvement", "Inventory management", "Cancer diagnostics" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c91be74d8ee00a0984048", "title" : "Electrical Test Engineer", "company" : "Amca", "industry" : "Manufacturing", "salary" : { "min" : 105000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "El Segundo, California, United States", "locations" : [ "El Segundo", "California", "United States" ], "timestamp" : "2026-06-15T12:40:38.205", "fingerprint" : "d26bf0e4a2cf4a8b4da494f0f92ee533cb1b022b1ab03f5a33f6c3863522cb46", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/amca/jobs/4227275009", "externalId" : "4227275009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "technicalSkills" : "Python, C#, C++, Java, Firmware", "professionalSkills" : [ "First-principles thinking", "Test bed design", "Hardware builds", "Factory diligence", "Company development", "Catalog expansion", "Factory design evaluation", "Manufacturing evaluation", "Test capabilities evaluation" ], "hardSkillsList" : [ "Electrical schematic creation", "Component selection", "PCBA layout", "Hardware builds", "Test execution" ], "softSkillsList" : [ "Curious", "Practical" ], "hardSkills" : [ { "name" : "Electrical schematic creation", "level" : "intermediate" }, { "name" : "Component selection", "level" : "intermediate" }, { "name" : "PCBA layout", "level" : "intermediate" }, { "name" : "Hardware builds", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Practical" } ], "majorSkills" : "Electrical Test Engineering, Test Equipment Development, Hardware Qualification", "majorSkillsList" : [ "Electrical Test Engineering", "Test Equipment Development", "Hardware Qualification" ], "coreResponsibilities" : "Develop rapid solutions for test equipment, Develop qualification testing equipment, Develop acceptance testing equipment, Work with design engineers, Understand end-use applications, Develop qualification test plans, Take ownership of test bed design, Take ownership of test bed build, Create electrical schematics, Select components, Layout PCBA, Build hardware, Support integration with environmental test equipment, Support execution of qualification tests, Build necessary software to operate test bed, Build acceptance test solutions for production, Develop acceptance test plans, Leverage qualification test equipment, Build acceptance testing hardware, Optimize reliability, Optimize lead time, Optimize labor, Work closely with Build Engineering, Work closely with Production, Make electrical tests production friendly, Develop software to interface with test bed, Simplify test execution, Support factory diligence, Support company development, Evaluate product catalogs, Determine opportunities for catalog expansion, Assist in evaluation of factory design, Assist in evaluation of manufacturing capabilities, Assist in evaluation of test capabilities", "teamCollaboration" : "Work with electrical design engineers; Work with design engineers; Work closely with Build Engineering; Work closely with Production", "projectManagementSkills" : [ "Ownership" ], "domainKnowledge" : "Avionics; Hydraulic components; Electrical components; F-35; F-16; F/A-18; 737MAX; 787; A320neo; A321; Mk-48; M1 Abrams; DO-160; MIL-STD", "domainList" : [ "avionics", "hydraulic-components", "electrical-components", "f-35", "f-16", "f-a-18", "737max", "787", "a320neo", "a321", "mk-48", "m1-abrams", "do-160", "mil-std" ], "domainSpecificKnowledge" : [ "Avionics", "Hydraulic components", "Electrical components", "F-35", "F-16", "F/A-18", "737MAX", "787", "A320neo", "A321", "Mk-48", "M1 Abrams", "DO-160", "MIL-STD" ], "toolProficiency" : [ "Oscilloscopes", "Multimeters", "Logic analyzers" ], "problemSolvingSkills" : "First-principles thinking; Challenge requirements; Simplify requirements; Troubleshooting", "specialRequirements" : "U.S. persons only, ITAR restrictions", "qualificationsBasic" : "Electrical design experience, Power, filtering, logic experience, Software/firmware experience, Production constraints experience, Python, C#, C++, Java proficiency, Electrical schematic layout experience, Component selection experience, Simulation experience, Hands-on debugging experience, Use oscilloscopes, multimeters, logic analyzers, Engineering first principles, Independent and thrives with ownership", "qualificationsPreferred" : "Familiarity with DO-160, Familiarity with MIL-STD, Familiarity with other qualification frameworks, Familiarity with certification frameworks", "workSiteFlexibility" : "Onsite", "rawDescription" : "Amca is building America’s new industrial base. Since the 1990s, our ability to build new aviation and military systems and maintain the ones we already have has eroded. Today, the gap between what the nation needs to produce and what it is capable of producing is the largest it has been in generations. To help close that gap, Amca rapidly develops and manufactures new critical components and subsystems required to build and sustain the planes, military vehicles, and core infrastructure America needs. Today, we operate seven factories nationwide, including our advanced prototyping and testing headquarters in El Segundo, and deliver avionics, hydraulic, and electrical components for platforms such as the F-35, F-16, F/A-18, 737MAX, 787, A320neo, A321, Mk-48, and M1 Abrams. Overview: You will develop both the qualification and acceptance testing equipment to validate new electrical product designs. Your primary function will be to work with the electrical design engineers to make test systems that rapidly ensure the reliability of Amca's products. Responsibilities: Develop rapid solutions for test equipment for qualification testing of electrical hardware Work with design engineers to understand end-use applications and develop qualification test plans for hardware Take full ownership of test bed design and build, including electrical schematic creation, component selection, PCBA layout, and hardware builds Support integration of test beds with environmental test equipment (thermal chambers, vibration shakers, shock systems, humidity, salt fog, etc) Support execution of qualification tests for new hardware Build and deploy the necessary software to operate the test bed Build acceptance test solutions for production test Work with design engineers to develop acceptance test plans for new hardware. Leveraging test equipment developed for qualification testing, build out acceptance testing hardware that optimizes reliability, lead time, and labor. Work closely with Build Engineering and Production to make electrical tests as production friendly as possible. Develop the software that interfaces with the test bed to simplify test execution Support Amca with factory diligence and company development Evaluate product catalogs and help determine where largest opportunities lie for catalog expansion Assist in the evaluation of factory design, manufacturing, and test capabilities Qualifications: Experience with electrical design, applying first-principles thinking to power, filtering, logic, software/firmware, and production constraints. Proficient in a standard software language (Python, C#, C++, java, etc.) Experience in electrical schematic layout, component selection, and simulation to meet customer requirements. Comfortable with hands-on debugging using oscilloscopes, multimeters, and logic analyzers. Exceptionally curious and fast learner; able to contribute across diverse part categories and manufacturing processes. Demonstrated ability to use engineering first principles to challenge and simplify requirements Hands-on and practical—comfortable building, testing, and troubleshooting in real-world environments Independent and creative; thrives with ownership and minimal oversight Plus: familiarity with DO-160, MIL-STD, or other qualification and certification frameworks Annual Salary Range $105,000—$135,000 USD This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U. S. persons within the meaning of ITAR. ITAR defines a US person as: any individual who is granted U. S. citizenship; or. any individual who is granted U. S. permanent residence (\"Green Card\" holder); or. any individual who is granted status as a \"protected person\" under 8 U.S.C 1324b(a)(3). The Advanced Manufacturing Company of America prohibits discrimination or harassment based on the following categories: race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), domestic violence victim status, political affiliation, and any other status protected by state or federal law.", "summaryDescription" : "Electrical Test Engineer at Amca. Skills: Electrical Test Engineering, Test Equipment Development, Hardware Qualification. Develop rapid solutions for test equipment. Develop qualification testing equipment", "postedDate" : "2026-06-14T05:49:06.871", "createdAt" : "2026-06-14T05:49:06.871", "lastUpdated" : "2026-06-15T12:40:38.205", "ingestTimestamp" : "2026-06-14T05:49:06.871", "mongoId" : "6a2c91be74d8ee00a0984048", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical schematic creation", "Component selection", "PCBA layout", "Hardware builds", "Test execution", "Curious", "Practical", "Electrical Test Engineering", "Test Equipment Development", "Hardware Qualification", "First-principles thinking", "Test bed design", "Factory diligence", "Company development", "Catalog expansion", "Factory design evaluation", "Manufacturing evaluation", "Test capabilities evaluation", "Ownership", "Avionics", "Hydraulic components", "Electrical components", "F-35", "F-16", "F/A-18", "737MAX", "787", "A320neo", "A321", "Mk-48", "M1 Abrams", "DO-160", "MIL-STD", "Oscilloscopes", "Multimeters", "Logic analyzers" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "68e0a7e2ce260f92cbf8ea62", "title" : "Data Engineer, Speed Products, Science and Analytics", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Data Engineering, transportation and logistics", "salary" : { "min" : 118900.0, "max" : 205600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T05:46:53.211", "fingerprint" : "2949250d13161d5d4b07f4a1aee9e5f09a85811ff8e7e42017368eebb24b6163", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100735/apply", "externalId" : "a7282069-9ef7-47e1-b7c6-11bb7e7e8581", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Scala", "professionalSkills" : [ "Data infrastructure", "Data integration", "Release management" ], "hardSkillsList" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code" ], "softSkillsList" : [ "Business communication" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data loading", "level" : "intermediate" }, { "name" : "Code deployment", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Release coordination", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Orchestration code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business communication" } ], "majorSkills" : "Data engineering, Data infrastructure, Data pipelines", "majorSkillsList" : [ "Data engineering", "Data infrastructure", "Data pipelines" ], "coreResponsibilities" : "Design data infrastructure solutions, Integrate data from sources, Aggregate data, Retrieve data, Curate data, Manage Redshift clusters, Design pipelines, Develop pipelines, Extract data, Transform data, Load data, Oversee production operations, Improve data delivery, Redesign infrastructure, Deploy code, Fix bugs, Coordinate release management, Establish best practices, Develop data integration solutions, Explore new data sources, Deliver data, Read data processing code, Write data processing code, Debug data processing code, Read orchestration code, Write orchestration code, Debug orchestration code", "teamCollaboration" : "Business owners; Tech leaders; Product teams; Data Scientists; Software developers; Business Intelligence Engineer", "projectManagementSkills" : [ "Release management" ], "domainKnowledge" : "Data warehousing; Distributed systems; Big data technologies", "domainList" : [ "data-warehousing", "distributed-systems", "big-data-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing", "Distributed systems", "Big data technologies" ], "toolProficiency" : [ "Redshift", "SQL", "Python", "AWS" ], "communicationSkills" : "Business communication", "documentationSkills" : "Documentation", "continuousLearning" : "Investigate emerging technologies", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Experience as Data Engineer, Knowledge of distributed systems, Bachelor's degree", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities - Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies. - Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination. - Establish and maintain best practices for the design, development and support of data integration solutions, including documentation. - Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data. - Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.) Basic Qualifications: - Experience as a Data Engineer or in a similar role - Knowledge of distributed systems as it pertains to data storage and computing - Bachelor's degree Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Data Engineer, Speed Products, Science and Analytics at Amazon.com Services LLC. Skills: Data engineering, Data infrastructure, Data pipelines. Design data infrastructure solutions. Integrate data from sources", "postedDate" : "2026-06-13T11:39:35.182", "createdAt" : "2026-06-13T11:39:35.182", "lastUpdated" : "2026-06-15T05:46:53.211", "ingestTimestamp" : "2026-06-13T11:39:35.182", "mongoId" : "68e0a7e2ce260f92cbf8ea62", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100735/apply", "salaryAnnualMin" : 118900, "salaryAnnualMax" : 205600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data pipelines", "Data curation", "Data modeling", "Data extraction", "Data transformation", "Data loading", "Code deployment", "Bug fixing", "Release coordination", "Data processing", "Orchestration code", "Business communication", "Data engineering", "Data infrastructure", "Data integration", "Release management", "Distributed systems", "Big data technologies", "Redshift", "SQL", "Python", "AWS" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307f46f292fd229c05781c", "title" : "Test Engineering Manager, Android and Pixel System Test", "industry" : "Technology", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Technology in New Taipei City, Taiwan, adjusted for seniority and industry." }, "location" : "[New Taipei, Banqiao District, New Taipei City, Taiwan, [Banqiao District, New Taipei City, Taiwan 220], null, 220, New Taipei City, TW]", "locations" : [ "[New Taipei, Banqiao District, New Taipei City, Taiwan, [Banqiao District, New Taipei City, Taiwan 220], null, 220, New Taipei City, TW]" ], "timestamp" : "2026-06-16T13:17:03.604", "fingerprint" : "b2fc1aee9f569946da9ec0ae6ce47147bab62208623e99beaade6f04491b29d5", "source" : "google", "language" : "en", "externalId" : "95961659780014790", "industryFunction" : { }, 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Test Architect", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 117000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T04:15:27.608", "fingerprint" : "f9934d08b61021dfd3321e32ec064f51a3ebfe2edf76ff64f33d94418cd4bfb4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444003/apply", "externalId" : "894d43d1-8f51-4ccf-bedf-ab494fbc627d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, MATLAB, LabVIEW, PCBA", "professionalSkills" : [ "Optical systems development", "Opto-mechanical systems development", "System verification", "Root cause analysis", "Design corrective actions", "Manufacturing processes", "Test system improvements", "Measurement processes", "Volume manufacturing", "Data acquisition", "Environmental control", "Instrument communication", "Test data analysis", "Performance trends", "Technical problems", "Optical measurement", "Test station architectures", "Automation", "Robustness", "Throughput", "Industrialization-grade production" ], "hardSkillsList" : [ "Electro-mechanical testing", "Optical testing", "Opto-mechanical testing", "System verification", "Root cause analysis", "Optical metrology", "Wavefront error", "Boresight alignment", "Radiometric calibration", "Pointing accuracy", "Thermal transitions", "Signal degradation", "Power integrity", "Thermal drift", "Structural anomalies", "Environmental stress testing", "Manufacturing screening", "First-pass yield", "Repeatability", "Data analysis", "Physical optics", "Geometric optics", "Beam propagation", "Precision assemblies", "Pointing mechanisms" ], "softSkillsList" : [ "Ambiguity", "Problem solving" ], "hardSkills" : [ { "name" : "Electro-mechanical testing", "level" : "intermediate" }, { "name" : "Optical testing", "level" : "intermediate" }, { "name" : "Opto-mechanical testing", "level" : "intermediate" }, { "name" : "System verification", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Optical metrology", "level" : "intermediate" }, { "name" : "Wavefront error", "level" : "intermediate" }, { "name" : "Boresight alignment", "level" : "intermediate" }, { "name" : "Radiometric calibration", "level" : "intermediate" }, { "name" : "Pointing accuracy", "level" : "intermediate" }, { "name" : "Thermal transitions", "level" : "intermediate" }, { "name" : "Signal degradation", "level" : "intermediate" }, { "name" : "Power integrity", "level" : "intermediate" }, { "name" : "Thermal drift", "level" : "intermediate" }, { "name" : "Structural anomalies", "level" : "intermediate" }, { "name" : "Environmental stress testing", "level" : "intermediate" }, { "name" : "Manufacturing screening", "level" : "intermediate" }, { "name" : "First-pass yield", "level" : "intermediate" }, { "name" : "Repeatability", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Physical optics", "level" : "intermediate" }, { "name" : "Geometric optics", "level" : "intermediate" }, { "name" : "Beam propagation", "level" : "intermediate" }, { "name" : "Precision assemblies", "level" : "intermediate" }, { "name" : "Pointing mechanisms", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ambiguity" }, { "name" : "Problem solving" } ], "majorSkills" : "Electro-optical systems, Opto-mechanical systems, Test station design, Root cause analysis", "majorSkillsList" : [ "Electro-optical systems", "Opto-mechanical systems", "Test station design", "Root cause analysis" ], "coreResponsibilities" : "Design electro-mechanical optical test stations, Build electro-mechanical optical test stations, Qualify electro-mechanical optical test stations, Develop test architectures, Execute test architectures, Validate performance, Define DVT plans, Implement DVT plans, Conduct optical metrology, Identify board level failures, Diagnose board level failures, Lead root cause analysis, Drive design corrective actions, Feed findings back into hardware, Feed findings back into manufacturing, Feed findings back into test systems, Develop measurement processes, Develop measurement procedures, Transfer measurement processes, Transfer measurement procedures, Write Python/MATLAB/LabVIEW scripts, Automate data acquisition, Automate environmental control, Automate instrument communication, Automate test data analysis, Analyze test datasets, Identify performance trends, Correlate failures to root causes, Develop strategies for resolving problems, Develop new optical measurement methods, Improve optical measurement methods, Develop test station architectures, Improve test station architectures", "teamCollaboration" : "Multi-discipline team; Technical teams", "domainKnowledge" : "Optical satellites communication; Electro-optical systems; Opto-mechanical systems; Thermal cycling; Thermal vacuum; Optical metrology; Wavefront error; Boresight alignment; Radiometric calibration; Pointing accuracy; Signal degradation; Power integrity; Physical optics; Geometric optics; Gaussian beam propagation", "domainList" : [ "optical-satellites-communication", "electro-optical-systems", "opto-mechanical-systems", "thermal-cycling", "thermal-vacuum", "optical-metrology", "wavefront-error", "boresight-alignment", "radiometric-calibration", "pointing-accuracy", "signal-degradation", "power-integrity", "physical-optics", "geometric-optics", "gaussian-beam-propagation" ], "domainSpecificKnowledge" : [ "Optical satellites communication", "Electro-optical systems", "Opto-mechanical systems", "Thermal cycling", "Thermal vacuum", "Optical metrology", "Wavefront error", "Boresight alignment", "Radiometric calibration", "Pointing accuracy", "Signal degradation", "Power integrity", "Physical optics", "Geometric optics", "Gaussian beam propagation" ], "toolProficiency" : [ "Python", "MATLAB", "LabVIEW" ], "problemSolvingSkills" : "Problem solving; Root cause analysis; Troubleshooting; Data-driven decision making", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into the U. S.", "outcomesObjectives" : "Increase first-pass yield; Meet FPY targets; Increase automation; Increase robustness; Increase throughput", "qualificationsBasic" : "Bachelor's degree in engineering, physics, or equivalent, 4+ years industry experience, Experience with lasers, detectors, modulators, Experience with optical fiber and devices, Experience with testing and characterization, Experience with optical metrology, Experience running TC/TVAC test profiles, Experience with end-to-end system-level testing, Experience demonstrating problem solving, Experience with root cause analysis", "qualificationsPreferred" : "Master's degree or above, Experience leading and influencing team, Experience with general troubleshooting/debugging, Experience leading technical initiatives, Experience influencing senior leaders, Experience with analytical skills, Experience with attention to detail, Experience with effective communication, Experience with physical and geometric optics, Experience with Gaussian beam propagation, Experience with detection, Experience with precision electro-mechanical optical assemblies, Experience with actuators and pointing mechanisms, Experience with fiber optics components, Experience with handling optical fiber, Experience with precision optical components, Experience with precision optical systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon LEO is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. You will join a multi-discipline team responsible for development for optical satellites communication system. You will be responsible for the design, build, and verification of custom electro-mechanical optical test stations integrated into the manufacturing flow, supporting design validation testing (DVT), end-to-end (E2E) system verification, and root cause analysis (RCA) of optical and opto-mechanical failures. Key job responsibilities * Design, build, and qualify electro-mechanical optical test stations for manufacturing-line integration, supporting build, test, and volume production of optical intersatellite link systems. * Develop and execute end-to-end (E2E) test architectures that simulate operational environments for electro-optical systems, validating performance across thermal cycling (TC) and thermal vacuum (TVAC) profiles. * Define and implement design validation test (DVT) plans for optical and opto-mechanical assemblies, ensuring structural and optical stability under environmental stress. * Conduct optical metrology including wavefront error, boresight alignment, radiometric calibration, and pointing accuracy during thermal transitions. * Leverage PCBA-level electrical knowledge to identify and diagnose failures that originate at the board level, including connector intermittencies, solder joint reliability issues, signal degradation, and power integrity anomalies that impact optical system performance. * Lead root cause analysis (RCA) for opto-mechanical and electrical failures, including performance degradation, thermal drift, and structural anomalies identified during environmental stress testing and manufacturing screening. * Drive design corrective actions and feed findings back into hardware design, manufacturing processes, and test system improvements to increase first-pass yield (FPY). * Develop measurement processes and procedures for volume manufacturing and transfer them to the production team, ensuring repeatability and FPY targets are met. * Write Python/MATLAB/LabVIEW scripts to automate data acquisition, environmental control, instrument communication, and test data analysis. * Analyze complex test datasets to identify performance trends, correlate optical and electrical failures to root causes, and develop optimal strategies for resolving technical problems in testing and manufacturing. * Develop new and improve existing optical measurement methods and test station architectures to increase automation, robustness, and throughput for industrialization-grade production. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. You will bridge hardware design and system integration to ensure optical payload performance in environments, while driving manufacturing test systems toward full automation and production readiness. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people. Basic Qualifications: - Bachelor's degree in engineering, physics, or equivalent - Experience demonstrating problem solving and root cause analysis - 4+ years of industry experience in electro-optical or opto-mechanical systems development across full product life cycles, from concept to production - Experience with lasers, detectors, modulators, optical fiber and devices, testing and characterization - Experience with optical metrology for component and system test and qualification - Direct experience running thermal cycling (TC) and/or thermal vacuum (TVAC) test profiles for high-precision optical or electro-mechanical systems - Experience with end-to-end system-level testing in a manufacturing or production environment Preferred Qualifications: - Master's degree or above in engineering, physics, or equivalent - Experience leading and influencing your team or organization, or experience with general troubleshooting/debugging of hardware - Experience leading technical initiatives and key deliverables - Experience influencing senior leaders/stakeholders - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience with physical and geometric optics, Gaussian beam propagation and detection - Experience with precision electro-mechanical optical assemblies, actuators, and pointing mechanisms - Proficiency with automated testing, system characterization, and manufacturing test automation (Python, MATLAB, LabVIEW) - Experience with fiber optics components and handling of optical fiber - Knowledge and experience with precision optical components and systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Redmond - 117,300.00 - 160,000.00 USD annually", "summaryDescription" : "Electro-Optical Test Architect at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Electro-optical systems, Opto-mechanical systems, Test station design, Root cause analysis. Design electro-mechanical optical test stations. 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optics", "Beam propagation", "Precision assemblies", "Pointing mechanisms", "Ambiguity", "Problem solving", "Electro-optical systems", "Opto-mechanical systems", "Test station design", "Optical systems development", "Opto-mechanical systems development", "Design corrective actions", "Manufacturing processes", "Test system improvements", "Measurement processes", "Volume manufacturing", "Data acquisition", "Environmental control", "Instrument communication", "Test data analysis", "Performance trends", "Technical problems", "Optical measurement", "Test station architectures", "Automation", "Robustness", "Throughput", "Industrialization-grade production", "Optical satellites communication", "Thermal cycling", "Thermal vacuum", "Gaussian beam propagation", "Python", "MATLAB", "LabVIEW" ], "skillCount" : 56, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b0874d8ee00a090fd64", "title" : "Electrical Engineer- Warranty and Quality", "company" : "LG Magna e-Powertrain USA, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical Engineer in Troy, United States, adjusted for mid-seniority and the automotive industry." }, "location" : "Troy, MI", "locations" : [ "Troy", "MI" ], "timestamp" : "2026-06-15T10:01:42.937", "fingerprint" : "8006468bdaa2b9f5c6c6a7f3c3816ebd8f52d18063eb1750f2e9f7b6dafa118a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lgelectronics/jobs/5253699008", "externalId" : "5253699008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Troy", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6055893,-83.1499304" } ], "locationText" : "Troy, Michigan, United States", "technicalSkills" : "Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Test Engineering, Quality Engineering, Process improvement, Quality system, APQP, PPAP, FMEA, SPC, PCBA", "professionalSkills" : [ "Problem solving", "Analytics", "Organizational skills", "Stakeholder management", "Risk identification", "Escalation" ], "hardSkillsList" : [ "Root Cause Analysis", "Process improvement", "Quality engineering methodologies", "Quality system", "APQP", "PPAP", "FMEA", "SPC" ], "hardSkills" : [ { "name" : "Root Cause Analysis", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Quality engineering methodologies", "level" : "intermediate" }, { "name" : "Quality system", "level" : "intermediate" }, { "name" : "APQP", "level" : "intermediate" }, { "name" : "PPAP", "level" : "intermediate" }, { "name" : "FMEA", "level" : "intermediate" }, { "name" : "SPC", "level" : "intermediate" } ], "majorSkills" : "Warranty analysis, Root cause analysis, Quality engineering, Electrical engineering", "majorSkillsList" : [ "Warranty analysis", "Root cause analysis", "Quality engineering", "Electrical engineering" ], "coreResponsibilities" : "Manage customer's warranty center operations, Ship/receive returned e-PT components, Analyze returned components, Investigate root causes, Troubleshoot defective parts, Repair defective parts, Refurbish defective parts, Validate with chamber/TAS, Test EOL equipment, Maintain test EOL equipment, Manage Charger/Discharger, Manage Leak Tester, Oversee quality issues for e-PT components, Provide field support, Act as Plant Liaison, Manage RMA process, Analyze warranty claims, Determine root cause of product returns, Perform tear down analysis, Perform failure analysis, Conduct SWAP testing with sub-suppliers, Trace issues with sub-suppliers, Lead APQP activities, Coordinate PPAP documentation, Lead response to emerging quality issues, Track containment activities, Perform containment activities, Communicate quality concerns with customer, Communicate quality concerns with internal teams, Lead PRR investigations, Identify potential root cause of failed parts, Prepare technical reports, Collect data for reports, Analyze data for reports, Summarize data for reports, Provide recommendations in reports, Report quality status internally, Report quality status to customer, Use PRTS for reporting, Use 5 Phase for reporting, Use GQTS for reporting, Use 8D methodologies for reporting", "teamCollaboration" : "Internal teams; Overseas teams; Customer communication", "projectManagementSkills" : [ "APQP", "PPAP", "8D methodologies" ], "domainKnowledge" : "e-PT components; Inverter; Convertor; Motor; Electric vehicle industry; e-Mobility solution", "domainList" : [ "e-pt-components", "inverter", "convertor", "motor", "electric-vehicle-industry", "e-mobility-solution" ], "domainSpecificKnowledge" : [ "e-PT components", "Inverter", "Convertor", "Motor", "Electric vehicle industry", "e-Mobility solution" ], "toolProficiency" : [ "Chamber", "TAS", "EOL equipment", "Charger/Discharger", "Leak Tester", "PRTS", "5 Phase", "GQTS" ], "communicationSkills" : "Written communication; Verbal communication; Technical reports", "documentationSkills" : "PPAP documentation; Technical reports", "problemSolvingSkills" : "Root Cause Analysis; Troubleshooting; Problem solving; Analytics; Failure analysis", "specialRequirements" : "Authorized to work in US, No work visa sponsorship", "qualificationsBasic" : "Bachelor's degree in Electrical, Electronics or Mechatronics Engineering, Minimum of 5 years of Electrical/ Electronics Application or Test Engineering, Skill in Quality Engineering, Root Cause Analysis, Experience in process improvement and quality engineering methodologies, Knowledge of Quality system (TS16949), Knowledge of APQP, PPAP, FMEA, SPC, Understanding of electrical printed circuit board assembly (PCBA), Ability in problem solving and analytics, Expert written / verbal communication, Advanced organizational skills, Ability to effectively manage stakeholder relationships, Ability to identify risks and escalate appropriately, Ability to work under pressure to meet deadlines, Superior attention to detail, Ability to learn quickly, Willingness and flexibility to learn and adapt to company working culture and processes", "workSiteFlexibility" : "Onsite", "rawDescription" : "Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, \"Jeong-do Management,\" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. LG Magna e-Powertrain USA, Inc. is a newly established US subsidiary headquartered in South Korea, formed through a joint venture by LG Electronics Vehicle Solution and Magna International, created to bring new synergies based on LG’s electric vehicle component capabilities and Magna’s experience in the traditional automotive industry. Located in Southeast Michigan, LG Magna USA provides engineering, sales, and quality solutions for developing various electric vehicle products such as drive motors, power conversion devices, and related integrated systems. LG Magna USA, as part of the global LG Magna team, strives to become the global No.1 e-Mobility solution partner by providing the highest value technologies and products, securing profitable growth together with customers, and contributing to a sustainable society. Our team takes pride in driving progress by developing innovative solutions for electric vehicle industry customers. Powered by a culture of passion, teamwork, customer focus, initiative, and creativity, we are pushing the boundaries every day. With the philosophy that \"people are the source of corporate competitiveness,\" we are committed to actively seeking out top talent and investing in career growth and development to retain exceptional people. We invite people to join our mission to create innovative solutions leading the trend in creating an eco-friendly, clean future through the electric vehicle industry, to drive a better life. Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visa. Overall Responsibilities: Our Electrical Engineer supporting our Quality Warranty team is a collaborative and highly impactful role that will be responsible as a direct contact person in the all the quality area for e-PT components (Inverter, Convertor and Motor) returned from the customer plant, including analyzing, repairing, and identifying root causes. Major Tasks Listed Below: Responsible to management of Customer’s warranty center operations: shipping/receiving returned e-PT components from Customer warehouse/ plants. analyzing, root investigation, troubleshooting, and repair/refurbishing the defective parts validation with chamber/TAS and test EOL equipment Maintain and manage test equipment; EOL, Charger/Discharger, Leak Tester, etc. Oversee all quality issues for e-PT components including field support, Plant Liaison and RMA process management. Analyzes all warranty claims to determine root cause of product returns. Perform tear down and failure analysis of returned product to determine root causes. Conduct SWAP testing with tracked removed parts with sub-suppliers to trace issues. Lead APQP activates and coordinates PPAP documentation (PFD, PCP, PFMEA) for customer approval. Lead the response to emerging quality issues by tracking and performing containment activities. communication effectively with customer and internal teams (locally and overseas) regarding quality concerns Lead Product Review Report (PRR) investigations to identify potential root cause of failed parts. Prepare technical reports by collecting, analyzing, and summarizing data with recommendations. Report quality status internally (locally and overseas) and to the customer, using PRTS, 5 Phase, GQTS, 8D methodologies. Required Qualifications: Bachelor’s degree in Electrical, Electronics or Mechatronics Engineering Minimum of 5 years of Electrical/ Electronics Application or Test Engineering Skill in Quality Engineering Root Cause Analysis Experience in process improvement and quality engineering methodologies Knowledge of Quality system (TS16949) and APQP, PPAP, FMEA, SPC, etc. Understanding of electrical printed circuit board assembly (PCBA) Ability to interpret and create electrical schematics. Ability to travel up to 10% to customers, warehouse required. Ability to use independent judgment and exercise discretion while performing job tasks. Ability to occasionally lift and manipulate (bending, twisting,) with physical dexterity parts up to 60 lbs. and to stand and/or stoop for extended periods of time. Preferred Qualifications: Technical Knowledge of automotive electronics Experienced in Electrical Vehicle components such (Inverter, Converter, Motor, etc.) Certified Quality Engineer (CQE) or Certified Reliability Engineer (CRE) Ability to read and understand programming languages such as C Languages, Visual Basic, and/or others. Knowledge of OEM quality related processes and requirements Ability to be self-driven and results-oriented with a keen sense of initiative to tackle complex tasks. Advanced skills in problem solving and analytics. Expert written / verbal communication. Advanced organizational skills and the ability to effectively manage stakeholder relationships. Ability to identify risks and escalate appropriately. Ability to work under pressure to meet deadlines. Superior attention to detail. Ability to learn quickly with the willingness and flexibility to learn and adapt to company working culture and processes. Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visa. Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.", "summaryDescription" : "Electrical Engineer- Warranty and Quality at LG Magna e-Powertrain USA, Inc.. Skills: Warranty analysis, Root cause analysis, Quality engineering, Electrical engineering. Manage customer's warranty center operations. Ship/receive returned e-PT components", "postedDate" : "2026-06-14T09:30:26.786", "createdAt" : "2026-06-14T09:30:26.786", "lastUpdated" : "2026-06-15T10:01:42.937", "ingestTimestamp" : "2026-06-14T09:30:26.786", "mongoId" : "6a2c6b0874d8ee00a090fd64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Root Cause Analysis", "Process improvement", "Quality engineering methodologies", "Quality system", "APQP", "PPAP", "FMEA", "SPC", "Warranty analysis", "Root cause analysis", "Quality engineering", "Electrical engineering", "Problem solving", "Analytics", "Organizational skills", "Stakeholder management", "Risk identification", "Escalation", "8D methodologies", "e-PT components", "Inverter", "Convertor", "Motor", "Electric vehicle industry", "e-Mobility solution", "Chamber", "TAS", "EOL equipment", "Charger/Discharger", "Leak Tester", "PRTS", "5 Phase", "GQTS" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c934074d8ee00a0987b4a", "title" : "Electrical Test Engineer", "company" : "Ōura", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Electrical Test Engineer in San Diego, United States, adjusted for the technology industry and company size." }, "location" : "San Diego, CA, United States", "locations" : [ "San Diego", "CA", "United States" ], "timestamp" : "2026-06-15T07:11:20.904", "fingerprint" : "a59291d52b8c35c2ceb89e5964d82772fb0b79585bca1ffd15bbc41d3f35671d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4113749009", "externalId" : "4113749009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Diego, California, United States; San Francisco, California, United States", "technicalSkills" : "Python, UART, BLE", "professionalSkills" : [ "Systems engineering", "Infrastructure engineering" ], "hardSkillsList" : [ "Test development", "Data collection", "Result validation", "Test automation", "Failure analysis" ], "hardSkills" : [ { "name" : "Test development", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Result validation", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" } ], "majorSkills" : "Electrical Test Engineering, Hardware Testing, Test System Development", "majorSkillsList" : [ "Electrical Test Engineering", "Hardware Testing", "Test System Development" ], "coreResponsibilities" : "Develop manufacturing tests, Maintain manufacturing tests, Develop development tests, Maintain development tests, Automate tests, Collect data, Validate results, Interface with hardware, Build tooling, Maintain tooling, Support engineer workflows, Support handoff of test systems, Support handoff of tooling, Document test systems, Stabilize test systems, Scale test systems, Translate engineering needs, Feed manufacturing constraints, Support component testing, Support subsystem testing, Debug issues, Validate issues, Interpret datasheets, Interpret specifications, Interpret application notes, Convert requirements, Convert datasheet limits, Create automated test cases, Ensure test coverage", "teamCollaboration" : "Hardware teams; Firmware teams; Test teams; Manufacturing teams; Quality teams; Product engineering; Global hardware teams; Global firmware teams; Global test teams; Global manufacturing teams; Global quality teams", "domainKnowledge" : "Electronic components; Embedded systems; Hardware communication protocols; Wearable devices", "domainList" : [ "electronic-components", "embedded-systems", "hardware-communication-protocols", "wearable-devices" ], "domainSpecificKnowledge" : [ "Electronic components", "Embedded systems", "Hardware communication protocols", "Wearable devices" ], "communicationSkills" : "Written English; Spoken English", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Root-cause analysis; Troubleshooting", "specialRequirements" : "Occasional travel, Travel to Finland", "qualificationsBasic" : "5+ years experience, Hardware communication protocols, Support electronic components, Read electronic datasheets, Work close to hardware, Work with contract manufacturers, Design infrastructure systems, Support data-intensive environments, Troubleshoot complex systems, Structured root-cause analysis, Collaboration and communication skills, Self-motivated, Detail-oriented, Fast-paced environment, Fluent English", "qualificationsPreferred" : "Testing low-power devices, Testing wearable devices, Develop electrical timing tests, Develop protocol-level tests, Support hardware development infrastructure, Support manufacturing infrastructure, Support test environments, Manufacturing test environments, Factory test stations, Build test jigs", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for an Electrical Test Engineer to design, build, and maintain scalable infrastructure and test systems that support engineers throughout product development and manufacturing. This role serves as a key bridge between engineering and manufacturing, working closely with hardware, firmware, test, manufacturing, and quality teams to ensure reliable tools, tests, and data enable efficient development and high-quality production. What you will do: Test development & coding Develop and maintain manufacturing and development tests using Python, including test automation, data collection, and result validation Act as a technical bridge between product engineering and manufacturing, ensuring alignment from development through production.. Implement test logic that interfaces with hardware communication protocols such as UART and BLE. Build and maintain tooling that supports engineers’ development, validation, and debug workflows Support the handoff of test systems and tooling from engineering to manufacturing, including documentation, stabilization, and scaling. Translate engineering needs into manufacturing-ready infrastructure and test solutions, and feed manufacturing constraints back into engineering. Hardware & protocol-level testing Support electronics component- and subsystem-level testing, from early development through manufacturing. Debug and validate issues across hardware, firmware, and test infrastructure boundaries. Translating specifications into tests Read and interpret electronic component datasheets, specifications, and application notes. Convert component requirements and datasheet limits into clear, repeatable, and automated test cases suitable for development and manufacturing. Ensure test coverage reflects real electrical, timing, and protocol requirements, not just functional pass/fail. This is an onsite US based role for our San Diego or San Francisco offices. REQUIREMENTS 5+ years of experience in infrastructure engineering, systems engineering, or a related technical role. practical understanding of hardware communication interfaces and protocols (e. g. UART, BLE). Experience supporting or developing tests for electronic components or embedded systems Ability to read and understand electronic component datasheets and translate specifications into test requirements Comfortable working close to hardware, including bring-up, debugging, and failure analysis. Experience working with external contract manufacturers. Hands-on experience designing, deploying, and maintaining infrastructure systems in engineering or production environments. Experience supporting infrastructure for data-intensive or test-driven environments. Ability to troubleshoot complex technical systems and perform structured root-cause analysis. Strong collaboration and communication skills, with the ability to work across multiple engineering disciplines. Self-motivated, detail-oriented, and comfortable working in a fast-paced environment. Fluent written and spoken English. Preferred Experience testing low-power or wearable devices. Experience developing tests that validate electrical, timing, and protocol-level behavior. Experience supporting infrastructure for hardware development, manufacturing, or test environments. Exposure to manufacturing test environments or factory test stations. Experience of building test jigs for manufacturing Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Systems Engineering, or a related field. Work Model On-site role in San Diego, CA or San Francisco, CA Close collaboration with Oura’s global hardware, firmware, Rel testing, manufacturing, and quality teams Occasional travel to supplier locations or Finland required Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. $151,300 - $178,000 (Region 1) $138,550 - $163,000 (Region 2) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Electrical Test Engineer at Ōura. Skills: Electrical Test Engineering, Hardware Testing, Test System Development. Develop manufacturing tests. Maintain manufacturing tests", "postedDate" : "2026-06-13T21:29:37.535", "createdAt" : "2026-06-13T21:29:37.535", "lastUpdated" : "2026-06-15T07:11:20.904", "ingestTimestamp" : "2026-06-13T21:29:37.535", "mongoId" : "6a2c934074d8ee00a0987b4a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Test development", "Data collection", "Result validation", "Test automation", "Failure analysis", "Electrical Test Engineering", "Hardware Testing", "Test System Development", "Systems engineering", "Infrastructure engineering", "Electronic components", "Embedded systems", "Hardware communication protocols", "Wearable devices" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7e3474d8ee00a0951cce", "title" : "Electrical Test Engineer", "company" : "Ōura", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Electrical Test Engineer in San Diego, United States, adjusted for the technology industry and company size." }, "location" : "San Diego, CA, United States", "locations" : [ "San Diego", "CA", "United States" ], "timestamp" : "2026-06-15T06:34:38.308", "fingerprint" : "69237aa528aacdccf1303c913788964c68cbc2168c1f92be509933195d41bc27", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4113749009", "externalId" : "4113749009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Diego, California, United States; San Francisco, California, United States", "technicalSkills" : "Python, UART, BLE", "professionalSkills" : [ "Infrastructure engineering", "Systems engineering", "Test development", "Data collection", "Result validation", "Hardware communication", "Protocol interfacing", "Debug workflows", "System stabilization", "System scaling", "Component testing", "Subsystem testing", "Failure analysis", "Specification translation", "Test case automation", "Electrical requirements", "Timing requirements", "Protocol requirements" ], "hardSkillsList" : [ "Electronics testing", "Embedded systems", "Root cause analysis" ], "hardSkills" : [ { "name" : "Electronics testing", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Test development, Hardware testing, Protocol testing", "majorSkillsList" : [ "Test development", "Hardware testing", "Protocol testing" ], "coreResponsibilities" : "Develop manufacturing tests, Maintain manufacturing tests, Develop development tests, Maintain development tests, Automate tests, Collect data, Validate results, Interface with hardware, Build tooling, Maintain tooling, Support engineer workflows, Support validation workflows, Support debug workflows, Support test system handoff, Support tooling handoff, Stabilize test systems, Scale test systems, Translate engineering needs, Feed manufacturing constraints, Support component testing, Support subsystem testing, Debug issues, Validate issues, Interpret datasheets, Interpret specifications, Interpret application notes, Convert requirements, Create automated test cases, Ensure test coverage", "teamCollaboration" : "Hardware teams; Firmware teams; Test teams; Manufacturing teams; Quality teams; Product engineering; Global teams", "domainKnowledge" : "Wearable devices; Low-power devices; Embedded systems; Electrical engineering; Firmware; Manufacturing processes", "domainList" : [ "wearable-devices", "low-power-devices", "embedded-systems", "electrical-engineering", "firmware", "manufacturing-processes" ], "domainSpecificKnowledge" : [ "Wearable devices", "Low-power devices", "Embedded systems", "Electrical engineering", "Firmware", "Manufacturing processes" ], "communicationSkills" : "Collaboration; Communication", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Troubleshoot complex systems; Root-cause analysis", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "5+ years experience, Understand hardware communication, Support/develop electronic tests, Read electronic datasheets, Work close to hardware, Work with contract manufacturers, Design/deploy/maintain infrastructure, Support data-intensive environments, Troubleshoot complex systems, Structured root-cause analysis, Collaboration and communication skills, Fluent English", "qualificationsPreferred" : "Test low-power devices, Develop electrical/timing tests, Support hardware development infrastructure, Exposure to manufacturing test environments, Build test jigs, Bachelor's or Master's degree", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for an Electrical Test Engineer to design, build, and maintain scalable infrastructure and test systems that support engineers throughout product development and manufacturing. This role serves as a key bridge between engineering and manufacturing, working closely with hardware, firmware, test, manufacturing, and quality teams to ensure reliable tools, tests, and data enable efficient development and high-quality production. What you will do: Test development & coding Develop and maintain manufacturing and development tests using Python, including test automation, data collection, and result validation Act as a technical bridge between product engineering and manufacturing, ensuring alignment from development through production.. Implement test logic that interfaces with hardware communication protocols such as UART and BLE. Build and maintain tooling that supports engineers’ development, validation, and debug workflows Support the handoff of test systems and tooling from engineering to manufacturing, including documentation, stabilization, and scaling. Translate engineering needs into manufacturing-ready infrastructure and test solutions, and feed manufacturing constraints back into engineering. Hardware & protocol-level testing Support electronics component- and subsystem-level testing, from early development through manufacturing. Debug and validate issues across hardware, firmware, and test infrastructure boundaries. Translating specifications into tests Read and interpret electronic component datasheets, specifications, and application notes. Convert component requirements and datasheet limits into clear, repeatable, and automated test cases suitable for development and manufacturing. Ensure test coverage reflects real electrical, timing, and protocol requirements, not just functional pass/fail. This is an onsite US based role for our San Diego or San Francisco offices. REQUIREMENTS 5+ years of experience in infrastructure engineering, systems engineering, or a related technical role. practical understanding of hardware communication interfaces and protocols (e. g. UART, BLE). Experience supporting or developing tests for electronic components or embedded systems Ability to read and understand electronic component datasheets and translate specifications into test requirements Comfortable working close to hardware, including bring-up, debugging, and failure analysis. Experience working with external contract manufacturers. Hands-on experience designing, deploying, and maintaining infrastructure systems in engineering or production environments. Experience supporting infrastructure for data-intensive or test-driven environments. Ability to troubleshoot complex technical systems and perform structured root-cause analysis. Strong collaboration and communication skills, with the ability to work across multiple engineering disciplines. Self-motivated, detail-oriented, and comfortable working in a fast-paced environment. Fluent written and spoken English. Preferred Experience testing low-power or wearable devices. Experience developing tests that validate electrical, timing, and protocol-level behavior. Experience supporting infrastructure for hardware development, manufacturing, or test environments. Exposure to manufacturing test environments or factory test stations. Experience of building test jigs for manufacturing Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Systems Engineering, or a related field. Work Model On-site role in San Diego, CA or San Francisco, CA Close collaboration with Oura’s global hardware, firmware, Rel testing, manufacturing, and quality teams Occasional travel to supplier locations or Finland required Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits! What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Amazing culture of collaborative and passionate coworkers Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. $151,300 - $178,000 (Region 1) $138,550 - $163,000 (Region 2) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Electrical Test Engineer at Ōura. Skills: Test development, Hardware testing, Protocol testing. Develop manufacturing tests. Maintain manufacturing tests", "postedDate" : "2026-06-13T21:05:21.970", "createdAt" : "2026-06-13T21:05:21.970", "lastUpdated" : "2026-06-15T06:34:38.308", "ingestTimestamp" : "2026-06-13T21:05:21.970", "mongoId" : "6a2c7e3474d8ee00a0951cce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electronics testing", "Embedded systems", "Root cause analysis", "Test development", "Hardware testing", "Protocol testing", "Infrastructure engineering", "Systems engineering", "Data collection", "Result validation", "Hardware communication", "Protocol interfacing", "Debug workflows", "System stabilization", "System scaling", "Component testing", "Subsystem testing", "Failure analysis", "Specification translation", "Test case automation", "Electrical requirements", "Timing requirements", "Protocol requirements", "Wearable devices", "Low-power devices", "Electrical engineering", "Firmware", "Manufacturing processes" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe574d8ee00a09d8274", "title" : "Lead Electrical Test Engineer", "company" : "Humanoid", "industry" : "Engineering", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US, Boston, MA", "locations" : [ "US, Boston, MA" ], "timestamp" : "2026-06-16T01:48:48.388", "fingerprint" : "7d39ee55d809085ef6a3f0058a24188a9aaf1be0633ef71de13ba463b2861fd6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/humanoid/73351fc8-2716-42c8-b5d8-8ef9d899da9a/application", "externalId" : "73351fc8-2716-42c8-b5d8-8ef9d899da9a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, LabVIEW, MATLAB, PCIe, Ethernet, USB, Microcontrollers, FPGA", "professionalSkills" : [ "Test strategy", "Failure analysis", "Root cause investigation", "Design for Test", "Manufacturing readiness" ], "hardSkillsList" : [ "Electrical integration", "PCBA validation", "Subassembly test", "Automated test systems", "Electrical design", "Hardware debugging", "Embedded systems", "System-level testing", "Test fixtures", "Test tooling" ], "softSkillsList" : [ "Leadership", "Technical leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Electrical integration", "level" : "intermediate" }, { "name" : "PCBA validation", "level" : "intermediate" }, { "name" : "Subassembly test", "level" : "intermediate" }, { "name" : "Automated test systems", "level" : "intermediate" }, { "name" : "Electrical design", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "System-level testing", "level" : "intermediate" }, { "name" : "Test fixtures", "level" : "intermediate" }, { "name" : "Test tooling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Technical leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Electrical Test, PCBA Validation, Automated Test Systems", "majorSkillsList" : [ "Electrical Test", "PCBA Validation", "Automated Test Systems" ], "coreResponsibilities" : "Define electrical test strategy, Implement test strategies, Build scalable test systems, Automate test systems, Lead PCBA bring-up, Validate PCBA functionality, Perform failure analysis, Develop test procedures, Develop test fixtures, Validate electrical designs, Design automated test frameworks, Automate validation, Automate data collection, Automate analysis, Validate integrated subsystems, Debug hardware issues, Debug power issues, Debug signal integrity, Debug communication protocols, Debug embedded systems, Ensure PCBAs are testable, Define test points, Define test coverage, Define test methodologies, Lead root cause investigations, Identify electrical failures, Reproduce electrical failures, Resolve electrical issues, Design custom test fixtures, Deploy custom test fixtures, Design test harnesses, Deploy test harnesses, Design hardware setups, Deploy hardware setups, Ensure smooth integration, Ensure high system reliability, Provide technical leadership, Set technical direction, Elevate test capabilities", "teamCollaboration" : "Electrical engineers; Firmware developers; Manufacturing teams; Systems teams; Design engineering", "domainKnowledge" : "Robotic platforms; Humanoid robots; Electrical systems; PCBA; Subassemblies; Power systems; Signal integrity; Communication protocols; Embedded systems; High-speed interfaces; Manufacturing test; Electromechanical systems", "domainList" : [ "robotic-platforms", "humanoid-robots", "electrical-systems", "pcba", "subassemblies", "power-systems", "signal-integrity", "communication-protocols", "embedded-systems", "high-speed-interfaces", "manufacturing-test", "electromechanical-systems" ], "domainSpecificKnowledge" : [ "Robotic platforms", "Humanoid robots", "Electrical systems", "PCBA", "Subassemblies", "Power systems", "Signal integrity", "Communication protocols", "Embedded systems", "High-speed interfaces", "Manufacturing test", "Electromechanical systems" ], "toolProficiency" : [ "Python", "LabVIEW", "MATLAB", "Oscilloscopes", "Logic analyzers", "DMMs", "Power supplies", "Altium" ], "problemSolvingSkills" : "Failure analysis; Root cause investigations; Debugging", "qualificationsBasic" : "PCBA bring-up, validation, and debug, Building automated test systems, Electronics fundamentals, Power systems, Signal integrity, Communication protocols, Hardware debugging tools, High-speed interfaces, Manufacturing test, Failure analysis, Root cause investigations, Embedded systems, Systems mindset", "qualificationsPreferred" : "Test fixture design, Hardware-in-the-loop systems, DFT methodologies, Test coverage analysis, EVT/DVT/PVT builds, Production ramp support, Linux-based systems, Robotics or electromechanical systems, Altium or other PCB design tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. ABOUT THE ROLE As the Lead Electrical Test Engineer on the Core Platform team in Boston, you will define and build the test and validation systems that ensure the reliability of Humanoid’s advanced robotic platforms. This is a hands-on leadership role focused on electrical integration, PCBA validation, and subassembly test at both the prototype and early production stages. This role is ideal for someone who enjoys building robust test infrastructure, diagnosing complex hardware issues, and bridging the gap between design engineering and real-world system performance. WHAT YOU'LL DO - Own Electrical Test Strategy & Infrastructure: define and implement test strategies for PCBAs and electrical subassemblies, covering bring-up, validation, regression, and production test. Build scalable, automated test systems to support rapid development and iteration. - Lead PCBA Bring-Up & Debug: drive board-level bring-up, validation, and failure analysis. Develop test procedures and fixtures to validate functionality, performance, and reliability of complex electrical designs. - Develop Automated Test Systems: design and build test frameworks using Python, LabVIEW, or similar tools to automate validation, data collection, and analysis across boards and subsystems. - Integration & System-Level Testing: work across electrical, firmware, and mechanical boundaries to validate integrated subsystems within robotic platforms. Debug issues spanning power, signal integrity, communication protocols, and embedded systems. - Design for Test (DFT) & Manufacturing Readiness: partner with design engineers to ensure PCBAs and systems are testable at scale. Define test points, coverage, and methodologies for EVT/DVT/PVT and early production. - Failure Analysis & Reliability: lead root cause investigations for electrical failures across boards and systems. Develop structured approaches to identify, reproduce, and resolve issues quickly. - Build Test Fixtures & Tooling: design and deploy custom test fixtures, harnesses, and hardware setups to support validation and production testing. - Collaborate Across Teams: work closely with electrical engineers, firmware developers, manufacturing, and systems teams to ensure smooth integration and high system reliability. - Mentor & Set Technical Direction: provide technical leadership in test methodologies, best practices, and debugging approaches. Help elevate test capabilities across the team. WHAT WE'RE LOOKING FOR - Strong experience in PCBA bring-up, validation, and debug of complex electrical systems - Proven experience building automated test systems (Python, LabVIEW, MATLAB, or similar) - Deep understanding of electronics fundamentals, including power systems, signal integrity, and communication protocols - Experience with hardware debugging tools (oscilloscopes, logic analyzers, DMMs, power supplies, etc.) - Familiarity with high-speed interfaces such as PCIe, Ethernet, USB, or similar - Experience designing or supporting manufacturing test (ICT, functional test, boundary scan, etc.) - Ability to lead failure analysis and root cause investigations across hardware systems - Experience working with embedded systems (microcontrollers, firmware interaction, or FPGA-based systems) - Strong systems mindset with the ability to debug across hardware, firmware, and software boundaries NICE TO HAVE - Experience with test fixture design and hardware-in-the-loop (HIL) systems - Familiarity with DFT methodologies and test coverage analysis - Experience supporting EVT/DVT/PVT builds and production ramp - Knowledge of Linux-based systems for test and integration - Exposure to robotics or electromechanical systems - Experience with Altium or other PCB design tools (for DFT collaboration) WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $120K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.", "summaryDescription" : "Lead Electrical Test Engineer at Humanoid. Skills: Electrical Test, PCBA Validation, Automated Test Systems. Define electrical test strategy. Implement test strategies", "createdAt" : "2026-06-14T19:19:17.887", "lastUpdated" : "2026-06-16T01:48:48.388", "ingestTimestamp" : "2026-06-14T19:19:17.887", "mongoId" : "6a2cafe574d8ee00a09d8274", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical integration", "PCBA validation", "Subassembly test", "Automated test systems", "Electrical design", "Hardware debugging", "Embedded systems", "System-level testing", "Test fixtures", "Test tooling", "Leadership", "Technical leadership", "Mentoring", "Electrical Test", "PCBA Validation", "Automated Test Systems", "Test strategy", "Failure analysis", "Root cause investigation", "Design for Test", "Manufacturing readiness", "Robotic platforms", "Humanoid robots", "Electrical systems", "PCBA", "Subassemblies", "Power systems", "Signal integrity", "Communication protocols", "High-speed interfaces", "Manufacturing test", "Electromechanical systems", "Python", "LabVIEW", "MATLAB", "Oscilloscopes", "Logic analyzers", "DMMs", "Power supplies", "Altium" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "69fda4e34c40e2acd1b99767", "title" : "Software Development Engineer, Media Planning and Measurement", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 158100.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:10:50.572", "fingerprint" : "f3975393ae49de1a55d62fe317f2c0b1e6c219b6b7f86e2c09f9b969aa02a69f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413575/apply", "externalId" : "b3b1e272-d2d0-48a7-9138-40783948bf7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "TypeScript, Python, AWS, Lambda, DDB, EMR, S3, C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "majorSkills" : "AI agents, Optimization systems, Advertising technology", "majorSkillsList" : [ "AI agents", "Optimization systems", "Advertising technology" ], "coreResponsibilities" : "Design agentic skills, Integrate MCP tools, Expose budget optimization, Design multi-step workflows, Compose forecasting services, Compose optimization services, Compose explainability services, Deliver planning recommendations, Build scalable APIs, Build batch endpoints, Serve real-time consumers, Serve programmatic consumers, Develop ML-informed optimization, Allocate budgets across channels", "domainKnowledge" : "Budget optimization; Media planning; Advertising channels; Reach curves; Audience overlap; Seasonal models; AI agents; Optimization systems; Advertising technology; Model Context Protocol", "domainList" : [ "budget-optimization", "media-planning", "advertising-channels", "reach-curves", "audience-overlap", "seasonal-models", "ai-agents", "optimization-systems", "advertising-technology", "model-context-protocol" ], "domainSpecificKnowledge" : [ "Budget optimization", "Media planning", "Advertising channels", "Reach curves", "Audience overlap", "Seasonal models", "AI agents", "Optimization systems", "Advertising technology", "Model Context Protocol" ], "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture, 1+ years software development engineer experience, 1+ years large-scale software applications experience, 1+ years Object Oriented Design experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 6, 2026 Amazon Ads is the fastest-growing segment of Amazon's business, and Budget Planning Services (BPS) is the intelligence engine behind how advertisers allocate billions in ad spend across Amazon's ecosystem. BPS powers budget optimization, reach forecasting, and media planning recommendations for some of the world's largest brands — helping them decide where to invest across Streaming TV, Display, Sponsored Ads, and emerging channels. We're building the next generation of AI-powered planning infrastructure: a standalone BPS Agent that exposes budget optimization as composable skills via Model Context Protocol (MCP). Our systems serve multiple consumers — from the Ads Planner UI to AI agents (Smart DVA, Sales Assistant) to programmatic APIs used by agencies globally. Think multi-step optimization workflows, agentic orchestration, real-time forecasting, and intelligent budget allocation at scale. Key job responsibilities We're looking for software engineers who want to build at the intersection of AI agents, optimization systems, and advertising technology. You'll design and deliver: - Agentic skills and MCP tool integrations that expose budget optimization to consuming agents and platforms - Multi-step orchestration workflows that compose forecasting, optimization, and explainability services into coherent planning recommendations - Scalable APIs and batch endpoints serving real-time and programmatic consumers (internal agents, agency platforms, sales tools) - Machine learning-informed optimization services that allocate budgets across 40+ advertising channels using reach curves, audience overlap, and seasonal models You'll work across the stack — from TypeScript-based agent infrastructure to Python optimization services to distributed systems on AWS (Lambda, DDB, EMR, S3). Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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, CO, Boulder - 143,700.00 - 194,400.00 USD annually USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Media Planning and Measurement at Amazon.com Services LLC. Skills: AI agents, Optimization systems, Advertising technology. Design agentic skills. Integrate MCP tools", "postedDate" : "2026-06-13T14:03:36.922", "createdAt" : "2026-06-13T14:03:36.922", "lastUpdated" : "2026-06-15T08:10:50.572", "ingestTimestamp" : "2026-06-13T14:03:36.922", "mongoId" : "69fda4e34c40e2acd1b99767", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413575/apply", "salaryAnnualMin" : 158100, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "AI agents", "Optimization systems", "Advertising technology", "Reliability", "Scaling", "Budget optimization", "Media planning", "Advertising channels", "Reach curves", "Audience overlap", "Seasonal models", "Model Context Protocol" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a305198f292fd229cf02f3c", "title" : "Sr Specialist, Special Tools and Workshop Equipment", "company" : "Scout Motors", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbia, South Carolina, United States", "locations" : [ "Columbia", "South Carolina", "United States" ], "timestamp" : "2026-06-16T11:04:16.391", "fingerprint" : "292c6ee141ac5522c06598e30bd3d7a2344ba8b1561377e72ef501bb4d259bc5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5159039007", "externalId" : "5159039007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Columbia, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Analyze repair concepts for Scout vehicles (new programs, technologies, and engineering changes) to define requirements for special tools and workshop equipment, ensuring repair quality and operational efficiency across workshops and mobile services. Drive early serviceability integration by collaborating with Engineering to ensure tool requirements are identified and validated during vehicle development phases. Evaluate and define make-or-buy strategies for special tools and equipment supporting Scout Motors workshops, mobile services, and third-party partners. Lead the design, development, validation, and release of new special tools and workshop equipment. Establish and maintain global standards and specifications for workshop tools and equipment to ensure consistency across markets. Conduct technical assessments to support Purchasing in the selection and qualification of suppliers, including cost, quality, and scalability considerations. Own the lifecycle management of special tools (introduction, updates, obsolescence, and replacement strategies). .Coordinate the inclusion and governance of tools and equipment within official catalogues and digital systems (e.g., integration with parts and workshop information media). Ensure compliance with legal, homologation, safety, and product regulatory requirements across all markets. Define and implement tool validation processes, including field testing, durability, and usability in real workshop conditions. Support digitalization initiatives, enabling integration of tools with diagnostics, connected services, and future AI-enabled workshop solutions. Develop and maintain technical documentation and training concepts for special tools and equipment (usage, maintenance, calibration, safety). Provide technical support to workshops and mobile services on tool usage, diagnostics, maintenance, and warranty topics. Monitor field feedback and repair data to continuously improve tool design, usability, and effectiveness. Collaborate cross-functionally with Engineering, Aftersales, Quality, and Operations to ensure closed-loop feedback into product and process improvements. Contribute to budget planning and cost optimization for special tools and workshop equipment programs. Location & Travel Expectations: This role will be based out of the Scout Motors location in Columbia, South Carolina. This role requires 4-5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: The role requires regular attendance at meetings and events in other Scout locations, such as Novi, MI, and Fremont, CA. Domestic and international travel is expected for approximately 10% of working days, with potentially more frequent international travel for training and coordination during the first two years. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Bachelor's degree in a relevant field such as Mechanical Engineering, Automotive Engineering, Information Technology, Technical Communication or related field. Several years of experience in Special tools and workshop equipment. Strong understanding of vehicle technologies, repair concepts, and technical documentation. Familiarity with automotive engineering principles. Proficiency in managing multiple projects, prioritizing tasks, and meeting deadlines. Proven ability to identify complex problems, develop innovative solutions, and implement effective strategies to address challenges. Strong critical thinking and decision-making skills to navigate ambiguous situations and drive results. Ability to work independently and collaboratively as part of a team. What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = 130,000.00 - $160,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Sr Specialist, Special Tools and Workshop Equipment at Scout Motors", "postedDate" : "2026-06-15T23:19:43.363", "createdAt" : "2026-06-15T23:19:43.363", "lastUpdated" : "2026-06-16T11:04:16.391", "ingestTimestamp" : "2026-06-15T23:19:43.363", "mongoId" : "6a305198f292fd229cf02f3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb09674d8ee00a09da6bb", "title" : "Satellite Quality and Test Technician", "company" : "Lynk Global", "industry" : "Engineering", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Satellite Quality and Test Technician in Chantilly, United States, with 2+ years of experience, adjusted for industry and company size." }, "location" : "Lynk US Headquarters", "locations" : [ "Lynk US Headquarters", "Chantilly, VA" ], "timestamp" : "2026-06-15T09:44:34.693", "fingerprint" : "962468a53c71f098c00cfc126dba031058da5366995a0e79a8562c23267c099e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lynk/7d9ccf57-6a66-424b-a23d-94d8b9e48a66/application", "externalId" : "7d9ccf57-6a66-424b-a23d-94d8b9e48a66", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chantilly", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8852190,-77.4486772" } ], "locationText" : "Chantilly, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "technicalSkills" : "RF testing, Spectrum analyzers, Network analyzers, Oscilloscopes", "professionalSkills" : [ "Quality specifications review", "Technical design review", "Test plan execution" ], "hardSkillsList" : [ "Component testing", "Subsystem testing", "Environmental testing", "Mechanical QA", "Electrical QA", "Wiring harness construction", "Mechanical support construction", "Tool maintenance", "Equipment maintenance" ], "hardSkills" : [ { "name" : "Component testing", "level" : "intermediate" }, { "name" : "Subsystem testing", "level" : "intermediate" }, { "name" : "Environmental testing", "level" : "intermediate" }, { "name" : "Mechanical QA", "level" : "intermediate" }, { "name" : "Electrical QA", "level" : "intermediate" }, { "name" : "Wiring harness construction", "level" : "intermediate" }, { "name" : "Mechanical support construction", "level" : "intermediate" }, { "name" : "Tool maintenance", "level" : "intermediate" }, { "name" : "Equipment maintenance", "level" : "intermediate" } ], "majorSkills" : "Quality assurance, Test technician, Satellite systems", "majorSkillsList" : [ "Quality assurance", "Test technician", "Satellite systems" ], "coreResponsibilities" : "Perform testing and inspections, Perform component level testing, Perform subsystem and flight testing, Perform environmental testing, Perform mechanical QA inspections, Perform electrical QA inspections, Construct wiring harnesses, Construct mechanical support equipment, Identify electrical modifications, Identify mechanical modifications, Propose rework, Review quality specifications, Review technical design documents, Provide feedback, Review test plans, Execute test plans, Maintain test equipment, Maintain certifications on tools", "domainKnowledge" : "Satellite systems; Spacecraft hardware", "domainList" : [ "satellite-systems", "spacecraft-hardware" ], "domainSpecificKnowledge" : [ "Satellite systems", "Spacecraft hardware" ], "toolProficiency" : [ "3D printers", "Machine tools", "Torque wrenches", "Precision tools" ], "specialRequirements" : "ITAR requirements", "qualificationsBasic" : "2+ years experience, Ability to use standard electronic assembly tools, Ability to perform soldering, Ability to use standard fabrication equipment, Ability to use standard electronic and environmental test equipment", "qualificationsPreferred" : "High school diploma or equivalent experience, Technical Associate degree equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Lynk Global Lynk is the inventor of satellite direct to device or D2D technology, and has the world’s only commercial license from the FCC to operate a commercial D2D system. Today, Lynk allows mobile network operators' subscribers to send and receive text messages to and from space via standard unmodified, mobile devices. Lynk’s service has been tested and proven on all seven continents, has regulatory approvals in more than 30 countries and is currently being deployed commercially based on more than 40 MNO commercial service contracts covering approximately 50 countries. Our technology will enable all 8 billion people on the planet to stay connected with the existing standard phone in their pocket. Everywhere. No matter what. By joining Lynk, you will have the opportunity to directly touch the lives of billions. Your mission will be to bring mobile broadband to billions, pull hundreds of millions out of poverty, and save countless lives. Core Responsibilities The Satellite Quality & Test Technician will perform testing and inspections on ground and flight systems, subsystems, and components in a rapid pace development environment where documentation and guidance may be limited. This includes: - Component level testing to include electrical power and baseline performance, mechanical fit checks and helicoil inspections, and RF testing. - Subsystem and flight testing, including RF performance, signal loss, power, and performance. - Environmental testing including component and subsystem level vibration, thermal, vacuum. - Mechanical QA inspections using schematics, drawings, and oral instructions. - Electrical QA inspections using schematics, drawings, and oral instructions. - Constructing wiring harnesses and other support equipment to aid test campaigns. - Constructing mechanical support equipment and fixtures to aid test campaigns. - Identifying and proposing electrical or mechanical modifications, rework. - Reviewing quality specifications and technical design documents to provide timely and meaningful feedback. - Review and execute detailed test plans. - Maintain test equipment such as spectrum analyzers, network analyzers, and oscilloscopes. - Maintain and keep certifications on tools and equipment such as, torque wrenches, precision tools, etc. Qualifications - High school diploma, or equivalent experience/combined education; specialized technical training equivalent to a technical Associate degree is preferred. - 2+ years of experience performing assigned related technical tasks or similar. - Ability to use standard electronic assembly tools and materials. - Ability to perform soldering to standards required for spacecraft flight hardware. - Ability to use standard fabrication equipment such as 3D printers and machine tools. - Ability to use standard electronic and environmental test equipment. ITAR REQUIREMENTS To comply with U.S. Government export control regulations (ITAR), applicants must be one of the following: (i) a U.S. citizen or national, (ii) a lawful permanent resident (green card holder), (iii) a refugee under 8 U.S.C. § 1157, or (iv) an asylee under 8 U.S.C. § 1158. Individuals who do not meet these criteria must be eligible to obtain the necessary authorizations from the U.S. Department of State. For more information, please refer to the ITAR guidelines. Learn about ITAR here. https://www.pmddtc.state.gov/ddtc_public?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987 LOCATION: Chantilly, VA", "summaryDescription" : "Satellite Quality and Test Technician at Lynk Global. Skills: Quality assurance, Test technician, Satellite systems. Perform testing and inspections. Perform component level testing", "createdAt" : "2026-06-14T04:17:11.304", "lastUpdated" : "2026-06-15T09:44:34.693", "ingestTimestamp" : "2026-06-14T04:17:11.304", "mongoId" : "6a2cb09674d8ee00a09da6bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Component testing", "Subsystem testing", "Environmental testing", "Mechanical QA", "Electrical QA", "Wiring harness construction", "Mechanical support construction", "Tool maintenance", "Equipment maintenance", "Quality assurance", "Test technician", "Satellite systems", "Quality specifications review", "Technical design review", "Test plan execution", "Spacecraft hardware", "3D printers", "Machine tools", "Torque wrenches", "Precision tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931aba", "title" : "Software Development Engineer, Media Planning and Measurement", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:22:12.679", "fingerprint" : "fc1117a9c12bfd25f3ca142753384268ea21a1619fb6d2db6e82803561d401e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384607/apply", "externalId" : "046afb74-f9e7-4e05-aa84-b2084f268fd0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Object Oriented Design" ], "hardSkills" : [ { "name" : "Object Oriented Design", "level" : "intermediate" } ], "majorSkills" : "Media planning, Agentic experience, Natural language conversation", "majorSkillsList" : [ "Media planning", "Agentic experience", "Natural language conversation" ], "coreResponsibilities" : "Design core system, Build core system, Own development lifecycle, Own technical solutions, Decompose problem statements, Write code, Ship to customers, Deliver production software, Iterative development cycles", "domainKnowledge" : "Media planning; Reach planning; Media strategies; Media mixes; Cross-product reach forecasting; Full-funnel budget allocation", "domainList" : [ "media-planning", "reach-planning", "media-strategies", "media-mixes", "cross-product-reach-forecasting", "full-funnel-budget-allocation" ], "domainSpecificKnowledge" : [ "Media planning", "Reach planning", "Media strategies", "Media mixes", "Cross-product reach forecasting", "Full-funnel budget allocation" ], "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, 1+ years large-scale software applications, 1+ years Object Oriented Design, Experience programming one language", "qualificationsPreferred" : "3+ years full software development lifecycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads is a fast-growing business at Amazon, delivering billions of ad impressions and millions of clicks daily through a portfolio of self-service performance advertising products that drive discovery and sales for our Retail and Marketplace businesses. We're seeking a Software Development Engineer to own and evolve our media planning tools and advance reach planning functionality to deliver more accurate, actionable media plans for agencies and advertisers. You will focus on building the new agentic experience, enabling media planners and strategists to build media strategies and optimize media mixes through natural language conversation. These agentic skills help planners from getting instant answers to simple questions to exploring complex topics, including cross-product reach forecasting and full-funnel budget allocation strategies. This is a high-visibility role where shared ownership, intellectual curiosity, and customer obsession drive everything we build. Key job responsibilities - Design and build the core system of the agent workflow, owning the full development lifecycle from problem definition through production deployment. - Own technical solutions end-to-end: decompose broad problem statements into concrete designs, write the code, and ship to customers. - Deliver production-ready software through iterative development cycles with frequent releases. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Media Planning and Measurement at Amazon.com Services LLC. Skills: Media planning, Agentic experience, Natural language conversation. Design core system. Build core system", "postedDate" : "2026-06-13T08:14:17.261", "createdAt" : "2026-06-13T08:14:17.261", "lastUpdated" : "2026-06-15T02:22:12.679", "ingestTimestamp" : "2026-06-13T08:14:17.261", "mongoId" : "69d5e4972beec4dd3d931aba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384607/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object Oriented Design", "Media planning", "Agentic experience", "Natural language conversation", "System design", "Architecture", "Reach planning", "Media strategies", "Media mixes", "Cross-product reach forecasting", "Full-funnel budget allocation" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f9b8034c40e2acd11140a4", "title" : "Principal Measurement Partnerships Lead, Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Advertising", "salary" : { "min" : 60000.0, "max" : 206500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:05:27.852", "fingerprint" : "9248b7233eff6662ed48f9a614182b8ace55cc737855d4ed363d1820913d55a9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409963/apply", "externalId" : "eee99a31-ab46-43cf-adea-426f954a356e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Advertising measurement", "Client delivery", "Program management" ], "hardSkillsList" : [ "Market analysis", "Industry analysis", "Opportunity analysis" ], "softSkillsList" : [ "Persistence", "Conciseness" ], "hardSkills" : [ { "name" : "Market analysis", "level" : "intermediate" }, { "name" : "Industry analysis", "level" : "intermediate" }, { "name" : "Opportunity analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Persistence" }, { "name" : "Conciseness" } ], "majorSkills" : "Measurement products, Ad tech, Data science", "majorSkillsList" : [ "Measurement products", "Ad tech", "Data science" ], "coreResponsibilities" : "Drive progress on business KPIs, Serve as single threaded owner, Facilitate overall program execution, Harness and organize internal teams, Set long-term vision, Influence product roadmaps, Influence business roadmaps, Serve as primary point of contact, Relentlessly follow up to communicate, Triage customer issues, Deliver best-in-class solutions, Exhibit deep analytical ability, Develop expertise in proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Planning and prioritizing across complex inputs, Prioritizing activities, Drive innovation and roadmap decisions, Increase ease of data availability, Increase availability of data, Create standard operating procedure documentation, Update standard operating procedure documentation, Maintain standard operating procedure documentation, Create training materials, Update training materials, Maintain training materials, Procure feedback from partner teams, Implement feedback from partner teams", "teamCollaboration" : "Work with external partners; Work with internal teams; Work with operations teams; Work with product teams; Work with business teams; Lead global program; Participate in senior leader discussions; Influence senior leader discussions", "projectManagementSkills" : [ "Program strategy", "End to end delivery", "Process implementation", "Automation", "Standardization" ], "domainKnowledge" : "Advertising measurement; Ad tech; Data science", "domainList" : [ "advertising-measurement", "ad-tech", "data-science" ], "domainSpecificKnowledge" : [ "Advertising measurement", "Ad tech", "Data science" ], "communicationSkills" : "Concise communication", "documentationSkills" : "Standard operating procedure documentation; Training materials", "innovationCreativity" : "Experimentation; Innovation", "problemSolvingSkills" : "Anticipating bottlenecks; Making tradeoffs; Balancing needs", "outcomesObjectives" : "Enhance advertiser experience; Understand full-funnel impact; Increase ease of data; Increase availability of data", "qualificationsBasic" : "10+ years cross functional project delivery, MBA and 5+ years cross functional project delivery, 7+ years working cross functionally, Managing, analyzing, and communicating results, Owning program strategy and end to end delivery, Using data and metrics to drive improvements, Implementing repeatable processes and driving automation, Defining and executing program requirements", "qualificationsPreferred" : "Background in advertising measurement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Advertising, we sit at the intersection of advertising and eCommerce. With millions of customers visiting us every day to find, discover, and buy products, we believe that advertising, when done well, can enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We strive to make advertising relevant so that customers welcome it and advertisers can easily implement it. If you’re interested in innovative advertising solutions with a relentless focus on the customer, you’ve come to the right place! Our team's mandate is to launch and accelerate adoption of advertising measurement products and services that enhance advertiser experience on Amazon. We are responsible for defining and delivering a collection of self-service measurement solutions that enable Advertisers to understand the full-funnel impact of their Advertising. With a broad mandate to experiment and innovate, we are growing with a seemingly endless range of new opportunities. As a Principal Measurement Partnerships Lead you are responsible for the client delivery of some of the most exciting and innovative measurement products Amazon Advertising has to offer. You are the operations and measurement expert to the client and will work closely with external partners as well as internal teams (operations, product, business). You are detail-oriented, persistent, and concise in your communications. You care about client quality. You flawlessly execute and also care about scaling processes and tools. The ideal candidate must be willing to work hard in a fast paced, dynamic and demanding environment. The right candidate will have experience leading medium to large products and projects, and excel at written and verbal communications. A background in advertising measurement is a significant plus. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means anticipating bottlenecks, making tradeoffs and balancing the needs of various key stakeholders. You will be expected to have strong opinions about tradeoffs as well as the analytic background necessary to track adoption and performance of your program. You will be able to lead a global program at scale, and participate/influence other senior leaders across the company future direction-setting. Finally, you will direct in-depth market, industry, and opportunity analysis, and will work with technology and business teams to define program requirements, understand customer needs, and define success metrics and performance tracking methods for product launches. Development, testing, and delivery is performed in partnership with dedicated product teams. Key job responsibilities - Drive progress on business KPIs by serving as a single threaded owner for a large-scale measurement program - Facilitate overall program execution, harnessing and organizing multiple internal Amazon teams in the process, setting long-term vision, and influencing product and business roadmaps - Serve as the primary point of contact for measurement and data partners; relentlessly follow up to communicate, triage, and deliver best-in-class solutions for customers - Exhibit deep analytical ability, and develop expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data to our advertisers. - Planning and prioritizing across complex inputs and activities - Drive innovation and roadmap decisions that increase the ease and availability of data to both internal teams and external partners. - Create, update and maintain standard operating procedure documentation and other training materials. Procure and implement feedback from partner teams regarding SOP usability. Basic Qualifications: - 10+ years of cross functional project delivery experience, or a MBA and 5+ years of cross functional project delivery experience - 7+ years of working cross functionally across several teams experience - Experience managing, analyzing and communicating results to senior leadership - Experience owning program strategy and end to end delivery - Experience using data and metrics to drive improvements - Experience implementing repeatable processes and driving automation or standardization - Experience defining and executing program requirements Preferred Qualifications: - Experience delivering projects within scope, time, budget and quality Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 152,600.00 - 206,500.00 USD annually", "summaryDescription" : "Principal Measurement Partnerships Lead, Measurement, Ad Tech, and Data Science (MADS) at Amazon.com Services LLC. Skills: Measurement products, Ad tech, Data science. Drive progress on business KPIs. Serve as single threaded owner", "postedDate" : "2026-06-13T03:52:37.957", "createdAt" : "2026-06-13T03:52:37.957", "lastUpdated" : "2026-06-15T03:05:27.852", "ingestTimestamp" : "2026-06-13T03:52:37.957", "mongoId" : "69f9b8034c40e2acd11140a4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409963/apply", "salaryAnnualMin" : 60000, "salaryAnnualMax" : 206500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Market analysis", "Industry analysis", "Opportunity analysis", "Persistence", "Conciseness", "Measurement products", "Ad tech", "Data science", "Advertising measurement", "Client delivery", "Program management", "Program strategy", "End to end delivery", "Process implementation", "Automation", "Standardization" ], "skillCount" : 16, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1d370f0b99d58d66662", "title" : "Speed Programs Analyst, EU Speed Programs", "company" : "Amazon EU Sarl", "industry" : "Supply Chain/Transportation Management, Buying/Planning, transportation and logistics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority Logistics Analyst in Luxembourg, adjusted for company size and industry." }, "location" : "Luxembourg, LUX", "locations" : [ "Luxembourg, LUX" ], "timestamp" : "2026-06-15T05:59:18.468", "fingerprint" : "1c020b34dcd0f47ca6f1bbf9609529e6b2cfcb37a91551cc857cbf4feb23f42e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103053/apply", "externalId" : "ee908b10-e441-4da5-b078-924dee803ebf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" }, { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" }, { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.6033540,1.8883335" }, { "city" : "Milan", "state" : "Lombardy", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" }, { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Luxembourg, Luxembourg; London, United Kingdom; Munich, Bavaria, Germany; Paris, France; Milan, Lombardy, Italy; Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "VBA", "professionalSkills" : [ "Process management", "Network optimization", "Cost optimization", "Quality assurance", "Data analysis" ], "hardSkillsList" : [ "Pivot tables", "Index/match", "Vlookup", "Data links" ], "hardSkills" : [ { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Index/match", "level" : "intermediate" }, { "name" : "Vlookup", "level" : "intermediate" }, { "name" : "Data links", "level" : "intermediate" } ], "majorSkills" : "Network performance, Process improvement, Cross-functional projects", "majorSkillsList" : [ "Network performance", "Process improvement", "Cross-functional projects" ], "coreResponsibilities" : "Drive network performance, Develop network speed initiatives, Deploy network speed initiatives, Improve customer order cut offs, Drive cost out activities, Improve asset utilization, Identify design solutions, Implement design solutions, Identify process solutions, Implement process solutions, Increase reliability, Increase consistent delivery, Remove pipeline defects, Deliver performance improvement, Own approval from leaders, Improve performance, Schedule resource allocation, Support cross-functional projects, Support action plans, Generate solutions, Communicate risks, Mitigate risks", "teamCollaboration" : "Cross-functional environment; Business partnership; First mile stakeholders; Middle mile stakeholders; Operational AMZL Teams; Transportation functions; Senior management; Senior stakeholders; Functional teams; Individuals at all levels", "projectManagementSkills" : [ "Cross-functional projects", "Action plans" ], "domainKnowledge" : "EU Operations; Fast network; Ultra fast network; SD network programs; In-station operations; Seasonal peak demand; Customer order cut offs; End to end performance", "domainList" : [ "eu-operations", "fast-network", "ultra-fast-network", "sd-network-programs", "in-station-operations", "seasonal-peak-demand", "customer-order-cut-offs", "end-to-end-performance" ], "domainSpecificKnowledge" : [ "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand", "Customer order cut offs", "End to end performance" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Presentations to customers; Presentations to stakeholders; Presentations to teammates; Communication with senior management", "problemSolvingSkills" : "Solving complex problems; Solving ambiguous problems", "outcomesObjectives" : "Deliver actionable insights; Impact daily business; Improve customer experience; Increase reliability; Increase consistent delivery; Remove pipeline defects; Deliver performance improvement", "qualificationsBasic" : "Bachelor's degree, Experience building measures and metrics, Developing reporting solutions, Experience in logistics, Transportation experience, Supply chain experience, Import/export operations experience, Data entry experience, Data administration experience, Experience working with cross-functional teams, Advanced Microsoft Excel knowledge, Fluent English speaking, Fluent English writing, Fluent English reading", "qualificationsPreferred" : "Master's degree, Experience communicating presentations, Experience delivering presentations, Experience managing multiple projects, Meeting aggressive deadlines, Managing multiple competing priorities, Engaging senior executives, Influencing senior executives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "[This role can be based in Luxembourg, London, Munich, Paris, Milan, Madrid] Speed is one of the key growth pillar for EU Operations. We are the forefront of this transformational change offering and building services and network that are at the leading end of Fast and ultra fast network. The Speed Program Team drives the SD network programs with cost-optimal and speed and quality aware solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems. We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate to support network optimization. The Speed Programs Analyst act as the lead on driving network performance (quality, speed and cost) through projects and network initiatives, and will form a business partnership with first and middle mile stakeholders and operational AMZL Teams. You will play a key role in developing and deploying network speed initiatives, delivering our vision to improve customer order cut offs and driving great customer experience, as well as in our cost out activities and asset utilization. A significant proportion of role will be identifying and implementing design and process solutions that increase the reliability and consistent delivery of end to end performance, removing defects from the pipeline and deliver a corresponding improvement. The role will own the approval from senior functional leaders to enable strategies to improve performance and schedule cross-functional resource allocation efficiently and effectively. You will work closely with our Transportation functions and will be a natural self-starter who is comfortable supporting complex cross functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator. This position involves regular communication with senior management on network performance, risks and time critical mitigation activities. In order to be successful in this position, you need to be comfortable interfacing with senior stakeholders as well as driving various functional teams and individuals at all levels of the organization. Keeping an open mind, sense of humor, drive and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities. Basic Qualifications: - Bachelor's degree - Experience building measures and metrics, and developing reporting solutions - Experience in logistics, transportation, supply chain, import/export operations, or data entry/data administration - Experience working with cross-functional teams - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Speak, write, and read fluently in English Preferred Qualifications: - Master's degree - Experience communicating and delivering presentations to customers, stakeholders, and/or teammates - Experience managing multiple projects and meeting aggressive deadlines - Experience in managing multiple, competing priorities simultaneously - Experience engaging and influencing senior executives, demonstrating a strong familiarity with decision-making processes in enterprise customers 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. 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" : "Speed Programs Analyst, EU Speed Programs at Amazon EU Sarl. Skills: Network performance, Process improvement, Cross-functional projects. Drive network performance. Develop network speed initiatives", "postedDate" : "2026-06-13T19:37:58.365", "createdAt" : "2026-06-13T19:37:58.365", "lastUpdated" : "2026-06-15T05:59:18.468", "ingestTimestamp" : "2026-06-13T19:37:58.365", "mongoId" : "68e6b1d370f0b99d58d66662", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103053/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Pivot tables", "Index/match", "Vlookup", "Data links", "Network performance", "Process improvement", "Cross-functional projects", "Process management", "Network optimization", "Cost optimization", "Quality assurance", "Data analysis", "Action plans", "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand", "Customer order cut offs", "End to end performance", "Microsoft Excel" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bb074d8ee00a0914045", "title" : "Senior Electrical Test Engineer", "company" : "Emporia Energy", "industry" : "Climate Tech", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Electrical Test Engineer in Boulder, United States, adjusted for industry and company size." }, "location" : "Boulder, CO, United States", "locations" : [ "Boulder", "CO", "United States" ], "certifications" : [ "UL", "FCC", "Energy Star" ], "timestamp" : "2026-06-15T07:39:16.960", "fingerprint" : "483fdf2c3e2c980d9641c7fe28439a3fc682e2c99a8235f8f3c631eb6e876b11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/emporiarevolutionizinghomeenergy/jobs/5255216008", "externalId" : "5255216008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Altium Designer, PCBA design", "professionalSkills" : [ "Requirements tracking", "Test plan development", "Fixture design", "Root cause analysis", "Failure analysis", "Component replacement" ], "hardSkillsList" : [ "Electrical systems", "Reliability testing", "Environmental testing", "Thermal fatigue testing", "Thermal shock testing", "Corrosion testing", "Weathering testing", "Ingress testing", "Electrical design changes", "Automotive communication protocols", "Safety test standards", "Certification testing", "Wiring requirements", "Installation requirements", "MTBF analysis", "High voltage design", "High speed signaling", "EV charger testing", "Consumer product testing" ], "hardSkills" : [ { "name" : "Electrical systems", "level" : "intermediate" }, { "name" : "Reliability testing", "level" : "intermediate" }, { "name" : "Environmental testing", "level" : "intermediate" }, { "name" : "Thermal fatigue testing", "level" : "intermediate" }, { "name" : "Thermal shock testing", "level" : "intermediate" }, { "name" : "Corrosion testing", "level" : "intermediate" }, { "name" : "Weathering testing", "level" : "intermediate" }, { "name" : "Ingress testing", "level" : "intermediate" }, { "name" : "Electrical design changes", "level" : "intermediate" }, { "name" : "Automotive communication protocols", "level" : "intermediate" }, { "name" : "Safety test standards", "level" : "intermediate" }, { "name" : "Certification testing", "level" : "intermediate" }, { "name" : "Wiring requirements", "level" : "intermediate" }, { "name" : "Installation requirements", "level" : "intermediate" }, { "name" : "MTBF analysis", "level" : "intermediate" }, { "name" : "High voltage design", "level" : "intermediate" }, { "name" : "High speed signaling", "level" : "intermediate" }, { "name" : "EV charger testing", "level" : "intermediate" }, { "name" : "Consumer product testing", "level" : "intermediate" } ], "majorSkills" : "Electrical Test Engineering, Sustaining Engineering, Hardware Testing, PCBA Design", "majorSkillsList" : [ "Electrical Test Engineering", "Sustaining Engineering", "Hardware Testing", "PCBA Design" ], "coreResponsibilities" : "Own requirements tracking, Determine verification method, Develop test profiles, Generate high-quality reports, Share test results, Share test analysis, Develop product test strategies, Turn prototype designs into production units, Validate new product features, Own in-house test equipment, Own in-house test methods, Own in-house test documentation, Own in-house test execution, Define required pre-screens, Define risk reduction testing, Design PCBAs for test fixtures, Review production line test solutions, Assist design engineers with development testing, Perform detailed engineering investigations, Execute root cause analysis on field failures, Present findings to triage teams, Present findings to design engineers, Present findings to management, Make targeted electrical design changes, Replace obsolete components, Correct failures identified through analysis, Collaborate cross-functionally with firmware engineers, Collaborate cross-functionally with mechanical engineers, Collaborate cross-functionally with quality engineers, Collaborate cross-functionally with manufacturing engineers", "teamCollaboration" : "Partner with external test labs; Partner with contract manufacturers; Partner with automotive OEM customers; Partner with internal firmware teams; Partner with internal mechanical teams; Partner with internal compliance teams; Collaborate with customer support; Collaborate with design engineers; Collaborate cross-functionally", "domainKnowledge" : "Home energy management; EV charging hardware; Virtual Power Plant; High-power AC systems; High-power DC systems; Automotive communication protocols; UL safety standards; Automotive OEMs; Certification testing; National Electric Code; Level 2 EV chargers", "domainList" : [ "home-energy-management", "ev-charging-hardware", "virtual-power-plant", "high-power-ac-systems", "high-power-dc-systems", "automotive-communication-protocols", "ul-safety-standards", "automotive-oems", "certification-testing", "national-electric-code", "level-2-ev-chargers" ], "domainSpecificKnowledge" : [ "Home energy management", "EV charging hardware", "Virtual Power Plant", "High-power AC systems", "High-power DC systems", "Automotive communication protocols", "UL safety standards", "Automotive OEMs", "Certification testing", "National Electric Code", "Level 2 EV chargers" ], "toolProficiency" : [ "Altium Designer" ], "documentationSkills" : "Test reports", "problemSolvingSkills" : "Root cause analysis; Failure analysis", "qualificationsBasic" : "Experience with high-power AC, Experience with high-power DC, Custom PCBA design experience, Expert-level Python lab automation, Knowledge of automotive communication protocols, Familiarity with UL safety standards, Experience with automotive OEMs, Experience with certification testing, Familiarity with National Electric Code, Ability to perform MTBF analysis, Experience designing complex PCBA, Experience implementing high voltage, Experience implementing high speed signaling, Experience testing Level 2 EV chargers, Experience testing high-volume consumer products, Expert-level Altium Designer proficiency", "qualificationsPreferred" : "MSEE degree preferred, Experience with ISO 15118-2, Experience with J1772, Familiarity with UL 2231-1/2, Experience managing OEM deliverables, Experience with Energy Star certification, Experience designing PCBA for test fixtures, Experience reviewing production line test solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Reporting to: VP of Engineering Location: Onsite in Boulder, CO About Emporia Energy Emporia is a leading technology company revolutionizing home energy by providing affordable, integrated solutions that empower homeowners to optimize energy usage to reduce costs and carbon footprint. Emporia’s Home Energy Management Platform is a powerful software system that connects their Vue Home Energy Monitor, Level 2 EV Charger, Smart Plugs, Home Battery, and third-party thermostats and appliances. By automating energy use through real-time monitoring and scheduling, the platform optimizes consumption, reduces costs, and simplifies home energy management—all within one intuitive app. With over 400,000 U. S. homes running Emporia’s energy management and EV charging hardware, we are now launching a national Third-Party Owned (TPO) home battery Virtual Power Plant — placing industrial-rated home batteries in residential homes to deliver power redundancy, utility cost savings, and grid peak demand services. By reducing energy waste and saving customers money, we’re helping create a healthier planet and a brighter future. For more information, visit emporiaenergy.com. Mission, Vision and Values Emporia was founded in 2018 with a clear purpose to revolutionize home energy, generate tangible customer savings, and accelerate the transition to a lower carbon future. We are striving to become the world's leading home energy management platform and build the largest virtual power plant. Customers First: We deliver exceptional service with empathy and responsiveness, building lasting trust in every interaction. Own the Outcome: We think like owners, taking responsibility for results and holding ourselves and each other accountable. Win Together: We succeed together through honesty, humility and humanity. Grit Gets it Done: We work hard, stay passionate, and persevere through challenges. Better Every Day: We challenge the status quo, take smart risks and aim to improve 1% every day. About the Role Our Hardware Engineering team is seeking a Senior Electrical Test Engineer to lead hardware testing across our EVSE product line and new products in development, while also contributing to sustaining engineering activities. The ideal candidate brings deep expertise in all phases of hardware test; from requirements tracking and test plan development through fixture design, in-house and out-of-house test execution, and production line validation, combined with hands-on sustaining engineering skills including field failure investigation, root cause analysis, and minor PCBA design changes. This role will partner closely with external test labs, contract manufacturers, automotive OEM customers, and internal firmware, mechanical, and compliance teams. Experience with high-power AC and DC electrical systems and custom PCBA design is essential. We are a small, collaborative team where versatility and ownership are highly valued. Responsibilities Electrical Test Engineering (75%) Own requirements tracking and verification, including verification method determination Develop test profiles for reliability and accelerated environmental testing including thermal fatigue, thermal shock, corrosion/weathering, and ingress testing Generate high-quality reports to share test results and analysis with customers and internal stakeholders Work with engineering and factory test teams to develop overall product test strategies to help turn prototype designs into production units Validate new product features in collaboration with the engineering team Own both in-house test equipment, methods, documentation, and execution Work closely with our in-house compliance team on definition of required pre-screens and risk reduction testing for UL, FCC, and other standards Partner with contract manufacturers and in-house operations teams to design PCBAs used in custom test fixture or review proposed production line test solutions Assist design engineers with development testing as needed Sustaining Engineering (25%) Perform detailed engineering investigations of RMA units coordinating with customer support and engineering teams as necessary Execute root cause analysis on field failures and present findings and recommended mitigations to triage teams, design engineers, and management Make targeted electrical design changes for minor improvements to existing products, including obsolete component replacements and corrections identified through failure analysis Collaborate cross-functionally with firmware, mechanical, quality and manufacturing engineers as required Required Skills experience developing in-house test systems including test racks and harnessing Experience designing and bringing up low-complexity PCBAs, including schematic capture and layout in Altium Designer or equivalent Demonstrated experience managing workload and project deliverables Strong writing, interpersonal, and communication skills Strongly Preferred Master’s degree in Electrical Engineering (MSEE) Expert-level Python-based lab automation Knowledge of automotive communication protocols and standards (ISO 15118-2, J1772) Familiarity with UL safety test standards such as UL 2231-1/2 Experience working with automotive OEMs and managing deliverables for their product development processes Experience with certification testing including UL, FCC, and Energy Star Familiarity with National Electric Code wiring and installation requirements Ability to perform MTBF analysis Experience designing and owning complex PCBA designs implementing high voltage and high speed signaling Experience testing and debugging Level 2 EV chargers Experience testing high-volume consumer products Expert-level Altium Designer proficiency What We Offer \uD83D\uDCB0 Compensation: The expected base salary range is $135,000 - $165,000, plus stock options. The offered salary will depend on numerous factors, including but not limited to work experience, skills, and internal equity considerations. The base salary does not include benefits or other incentives. \uD83C\uDFE5 Benefits: medical/dental/vision insurance, 401(k), employee stock option program, paid holidays plus unlimited PTO, discounts on Emporia products and partner offerings \uD83D\uDCC8 Career Growth: Be part of a fast-growing company at the forefront of home energy innovation. Emporia Energy is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, service in the military, or any other characteristic protected by applicable federal, state or local laws. We will make reasonable accommodations for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business. Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview at the company. New employees will be required to successfully complete a background check. Any communication to applicants relating to the Emporia Energy hiring process will only come from email addresses with the domains emporiaenergy.com or no-reply@us.greenhouse-mail.io. If in the course of the application or hiring process with Emporia Energy you are contacted through another domain, are requested to provide banking or other sensitive information, or you note any other suspicious activity, please contact cybersecurity@emporiaenergy.com.", "summaryDescription" : "Senior Electrical Test Engineer at Emporia Energy. Skills: Electrical Test Engineering, Sustaining Engineering, Hardware Testing, PCBA Design. Own requirements tracking. Determine verification method", "postedDate" : "2026-06-13T20:14:12.580", "createdAt" : "2026-06-13T20:14:12.580", "lastUpdated" : "2026-06-15T07:39:16.960", "ingestTimestamp" : "2026-06-13T20:14:12.580", "mongoId" : "6a2c6bb074d8ee00a0914045", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical systems", "Reliability testing", "Environmental testing", "Thermal fatigue testing", "Thermal shock testing", "Corrosion testing", "Weathering testing", "Ingress testing", "Electrical design changes", "Automotive communication protocols", "Safety test standards", "Certification testing", "Wiring requirements", "Installation requirements", "MTBF analysis", "High voltage design", "High speed signaling", "EV charger testing", "Consumer product testing", "Electrical Test Engineering", "Sustaining Engineering", "Hardware Testing", "PCBA Design", "Requirements tracking", "Test plan development", "Fixture design", "Root cause analysis", "Failure analysis", "Component replacement", "Home energy management", "EV charging hardware", "Virtual Power Plant", "High-power AC systems", "High-power DC systems", "UL safety standards", "Automotive OEMs", "National Electric Code", "Level 2 EV chargers", "UL", "FCC", "Energy Star", "Altium Designer" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cda0c74d8ee00a0a4a9b7", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T01:58:38.641", "fingerprint" : "68616fac2842ed528effc6ac3a6a3a8511ffbb8a8109440c50c0002428d2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003675", "externalId" : "8003675", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement strategy, Data analysis, Client advising", "majorSkillsList" : [ "Measurement strategy", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage study process, Deliver study results, Advocate for measurement solutions, Ensure effective implementation, Lead presentation of results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create actionable best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore new AI applications", "teamCollaboration" : "Sales teams; Account management teams; Product teams; Internal teams; Client conversations", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging measurement trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-measurement-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging measurement trends" ], "toolProficiency" : [ "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Senior stakeholder presentations", "documentationSkills" : "Playbook creation", "problemSolvingSkills" : "Solve complex client problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's degree in quantitative field, 0-2 years experience in digital analytics, Understanding of measurement landscape, Demonstrated client service background, Partnering across teams, Comfortable extracting and analyzing datasets, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Master's degree preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement strategy, Data analysis, Client advising. Lead measurement research studies. Manage study process", "postedDate" : "2026-06-14T19:21:54.924", "createdAt" : "2026-06-14T19:21:54.924", "lastUpdated" : "2026-06-16T01:58:38.641", "ingestTimestamp" : "2026-06-14T19:21:54.924", "mongoId" : "6a2cda0c74d8ee00a0a4a9b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis", "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation", "Measurement landscape", "Foot traffic", "Conversion lift", "Emerging measurement trends", "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104412beec4dd3def2715", "title" : "Principal, Technical Program Mgr. , Brand Measurement, Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon Advertising LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, Advertising", "salary" : { "min" : 194000.0, "max" : 263400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T07:19:07.793", "fingerprint" : "f23ace4cf5dd32a4159f41b80b98d659c3bb1d9253349029718307425cc1661a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386699/apply", "externalId" : "0ef77078-b564-4268-aadb-fcb86335a548", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Science, Ad Tech, Measurement", "professionalSkills" : [ "Program Management", "Product Management", "Project Management", "Stakeholder Management", "Cross-functional Team Leadership" ], "hardSkillsList" : [ "Technical Program Management", "Product Development", "Data Analysis" ], "hardSkills" : [ { "name" : "Technical Program Management", "level" : "intermediate" }, { "name" : "Product Development", "level" : "intermediate" }, { "name" : "Data Analysis", "level" : "intermediate" } ], "majorSkills" : "Technical Program Management, Brand Measurement, Ad Tech, Data Science", "majorSkillsList" : [ "Technical Program Management", "Brand Measurement", "Ad Tech", "Data Science" ], "coreResponsibilities" : "Define and launch products and features, Manage complex, cross-functional programs, Drive alignment across multiple teams, Identify and mitigate risks, Communicate program status to stakeholders, Develop and execute program plans, Influence product strategy, Contribute to the overall success of the MADS", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Data Science teams; Marketing teams", "projectManagementSkills" : [ "Program Management", "Product Management", "Agile Methodologies" ], "domainKnowledge" : "Brand Measurement; Advertising Technology; Data Science; Measurement; Ad Tech; MADS", "domainList" : [ "brand-measurement", "advertising-technology", "data-science", "measurement", "ad-tech", "mads" ], "domainSpecificKnowledge" : [ "Brand Measurement", "Advertising Technology", "Data Science", "Measurement", "Ad Tech", "MADS" ], "communicationSkills" : "Executive communication; Stakeholder communication", "problemSolvingSkills" : "Risk Mitigation; Problem Solving", "outcomesObjectives" : "Launch products and features; Drive alignment across teams; Mitigate program risks; Contribute to MADS success", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 7+ years of experience in program or project management, Experience defining and launching products and features", "qualificationsPreferred" : "Master's degree or MBA, Experience in advertising technology, Experience in data science, Experience in brand measurement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced, customer-focused Principal Technical Program Manager to lead the development of innovative solutions in brand measurement. This role will play a pivotal part in helping advertisers measure, analyze, and optimize their brand-building campaigns across Amazon Ads. By delivering performance reporting and actionable AI driven insights, our team empowers global advertisers to connect their media investments with real customer outcomes. If you’re passionate about data-driven decision-making and developing solutions that impact millions of customers, this is the role for you! Key job responsibilities As a Principal TPM, you will own the planning, execution, and delivery of large-scale technical programs that span multiple engineering teams, product organizations, and business stakeholders. You'll work at the intersection of advertising technology, machine learning, and distributed systems to solve ambiguous problems that shape the future of digital advertising. - Own end-to-end program management for strategic advertising technology initiatives spanning multiple teams and organizations - Drive technical strategy and roadmap alignment across engineering, product, science, and business teams - Lead cross-functional teams through complex technical challenges in areas such as ad serving, campaign management, measurement, and optimization - Establish program governance, metrics, and reporting mechanisms to ensure visibility and accountability at the VP level - Identify and mitigate technical and operational risks across large-scale distributed systems serving billions of ad requests daily - Partner with engineering leaders to influence architecture decisions and ensure scalability, reliability, and performance - Build and maintain relationships with senior stakeholders across Amazon Ads, AWS, and Retail organizations - Drive operational excellence through process improvements, automation, and best practices - Mentor and develop other TPMs across the organization - Represent Amazon Ads technical programs in executive-level reviews and planning sessions Basic Qualifications: - 7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - 5+ years of software development experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience owning/driving roadmap strategy and definition Preferred Qualifications: - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 194,700.00 - 263,400.00 USD annually", "summaryDescription" : "Principal, Technical Program Mgr. , Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) at Amazon Advertising LLC. Skills: Technical Program Management, Brand Measurement, Ad Tech, Data Science. Define and launch products and features. Manage complex, cross-functional programs", "postedDate" : "2026-06-13T19:03:53.501", "createdAt" : "2026-06-13T19:03:53.501", "lastUpdated" : "2026-06-15T07:19:07.793", "ingestTimestamp" : "2026-06-13T19:03:53.501", "mongoId" : "69e104412beec4dd3def2715", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386699/apply", "salaryAnnualMin" : 194000, "salaryAnnualMax" : 263400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Technical Program Management", "Product Development", "Data Analysis", "Brand Measurement", "Ad Tech", "Data Science", "Program Management", "Product Management", "Project Management", "Stakeholder Management", "Cross-functional Team Leadership", "Agile Methodologies", "Advertising Technology", "Measurement", "MADS" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660474d8ee00a062b86b", "title" : "Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Advertising", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T02:59:06.406", "fingerprint" : "97610574ab46b3fa55e5589b408c38971765d85f5bedb2562ffdbe34fd9e0609", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443829/apply", "externalId" : "a2c17fad-2bd4-48b1-9434-b97d5a9fc2ca", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Spark, Linux", "professionalSkills" : [ "Data engineering", "Scalable web services", "Analytical solutions" ], "hardSkillsList" : [ "Machine learning", "Data science" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Scalable systems", "majorSkillsList" : [ "Data engineering", "Machine learning", "Scalable systems" ], "coreResponsibilities" : "Build scalable systems, Manage streaming systems, Apply machine learning, Drive optimizations, Generate insights, Develop analytical solutions", "teamCollaboration" : "Agile software development", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Ad Tech; Data Science; Streaming systems; Big Data", "domainList" : [ "ad-tech", "data-science", "streaming-systems", "big-data" ], "domainSpecificKnowledge" : [ "Ad Tech", "Data Science", "Streaming systems", "Big Data" ], "innovationCreativity" : "Innovative", "problemSolvingSkills" : "Problem solving; Analytical skills; Simplify complex problems", "outcomesObjectives" : "Drive customer trust; Drive business growth; Generate actionable insights", "qualificationsBasic" : "3+ years software development experience, 2+ years system design or architecture, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a data-driven problem solver passionate about building scalable systems that drive customer trust and business growth? Join our innovative MADS Ads Data systems in Toronto, where we're expanding to meet increasing customer demand. We provide a secure, privacy-safe, and cloud-based environment for advertisers to perform advanced analytics across multiple data sets and generate actionable insights. Our services ingest and process billions of behavioral signals daily, making speed, scale, and accuracy critical to our success. You'll work in exciting computer science domains, managing massive-scale streaming systems, applying machine learning and data science expertise using Big Data (e.g. Spark) technology to drive optimizations and insights. We're seeking experienced, motivated software engineers with a proven track record in data engineering and scalable web services. If you're passionate about developing analytical solutions to solve complex business problems and driving results that impact Amazon's business, this is the right opportunity for you. The ideal candidate is innovative, with excellent problem-solving, analytical, and technical skills. You're comfortable working on Linux systems and have a deep understanding of agile software development. You excel at building exceptional customer relationships, uncovering the true requirements behind feature requests, and simplifying complex problems to tackle challenges. Join our team and be part of a dynamic and collaborative environment where you can make a significant impact on Amazon's advertising solutions. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS) at Amazon Development Centre Canada ULC. Skills: Data engineering, Machine learning, Scalable systems. Build scalable systems. Manage streaming systems", "postedDate" : "2026-06-13T08:45:47.488", "createdAt" : "2026-06-13T08:45:47.488", "lastUpdated" : "2026-06-15T02:59:06.406", "ingestTimestamp" : "2026-06-13T08:45:47.488", "mongoId" : "6a2a660474d8ee00a062b86b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443829/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data science", "Data engineering", "Scalable systems", "Scalable web services", "Analytical solutions", "Agile", "Ad Tech", "Data Science", "Streaming systems", "Big Data" ], "skillCount" : 11, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ad Tech" }, { "id" : "6a3066fbf292fd229cfb7df1", "title" : "Tupande Biochar Production and Electrical Engineer (Fixed-Term)", "company" : "One Acre Fund", "industry" : "Manufacturing", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior-level Biochar Production and Electrical Engineer in Sagana, Kenya, adjusted for mid-level experience and the agriculture industry." }, "location" : "Kenya", "locations" : [ "Kenya" ], "certifications" : [ "Valid electrical competency certification" ], "timestamp" : "2026-06-16T08:06:26.447", "fingerprint" : "6d61333c659f5cd774864dfd68d8fc6973453045232f1f6c2e0abf9e806d6518", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oafkenya/jobs/8006984", "externalId" : "8006984", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sagana", "country" : "Kenya", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-0.6665310,37.2081510" } ], "locationText" : "Sagana, Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Mid", "technicalSkills" : "Electrical Engineering, Control systems, PLCs, SCADA, Industrial instrumentation, Electrical schematics, Wiring diagrams, PLC configurations, SCADA configurations", "professionalSkills" : [ "Production coordination", "Electrical maintenance", "Quality control", "Budget performance", "Preventive maintenance", "Corrective maintenance", "Condition-based maintenance", "Data analysis" ], "hardSkillsList" : [ "Production planning", "KPI tracking", "MRV documentation", "Electrical fault finding", "Instrumentation calibration" ], "hardSkills" : [ { "name" : "Production planning", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "MRV documentation", "level" : "intermediate" }, { "name" : "Electrical fault finding", "level" : "intermediate" }, { "name" : "Instrumentation calibration", "level" : "intermediate" } ], "majorSkills" : "Biochar production, Electrical maintenance, Production coordination, Control systems", "majorSkillsList" : [ "Biochar production", "Electrical maintenance", "Production coordination", "Control systems" ], "coreResponsibilities" : "Manage production schedules, Forecast production inputs, Design production cycles, Coordinate feedstock supply, Plan production around maintenance, Revise production schedules, Liaise with utility providers, Track utility usage, Resolve utility outages, Coordinate maintenance staff, Partner with lab on quality, Coordinate with Logistics, Track production KPIs, Report budget performance, Implement standard operating procedures, Develop maintenance plan, Lead electrical work, Supervise maintenance technicians, Diagnose electrical faults, Resolve control system errors, Maintain electrical schematics, Maintain wiring diagrams, Maintain control panel documentation, Maintain PLC configurations, Maintain SCADA configurations, Ensure electrical compliance, Manage sensors, Calibrate instrumentation, Calibrate control systems, Liaise with vendors, Liaise with contractors", "teamCollaboration" : "Maintenance staff; Lab staff; Logistics staff; Utility providers; Equipment vendors; External contractors", "projectManagementSkills" : [ "Production planning", "Maintenance planning" ], "domainKnowledge" : "Biochar production; Pyrolysis lines; Avocado oil value chain; Macadamia value chain; Electrical regulations Kenya; Site safety standards", "domainList" : [ "biochar-production", "pyrolysis-lines", "avocado-oil-value-chain", "macadamia-value-chain", "electrical-regulations-kenya", "site-safety-standards" ], "domainSpecificKnowledge" : [ "Biochar production", "Pyrolysis lines", "Avocado oil value chain", "Macadamia value chain", "Electrical regulations Kenya", "Site safety standards" ], "toolProficiency" : [ "Google Sheets", "Excel" ], "documentationSkills" : "Electrical schematics; Wiring diagrams; Control panel documentation; PLC configurations; SCADA configurations", "continuousLearning" : "Mentorship programs; Training programs", "problemSolvingSkills" : "Diagnostic skills; Fault-finding skills; Troubleshooting", "specialRequirements" : "On-call for emergencies", "outcomesObjectives" : "Meet output targets; Ensure consistent feedstock supply; Ensure uninterrupted facility operations; Improve standard operating procedures", "qualificationsBasic" : "Electrical Degree or diploma, 2+ years electrical maintenance, Valid electrical competency certification", "qualificationsPreferred" : "Experience with control systems, Experience with PLCs, Experience with SCADA, Experience with industrial instrumentation, Diagnostic and fault-finding skills", "workSiteFlexibility" : "Onsite", "rawDescription" : "About One Acre Fund Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post. Our Kenya program, founded in 2006, operates under the local brand Tupande. Close to 500 staff in our Kakamega headquarters support 1,747 field staff and serve more than 1 million farmers. In Nairobi, around 50 staff support global functions like procurement, recruitment, government relations, and communications. About the Role Seeking an exceptional Production Coordinator and Electrical Engineer with 2-4 years' experience to plan biochar production across pyrolysis lines and lead the electrical maintenance programme. Responsibilities Production Coordination Manage production schedules across pyrolysis lines, forecasting inputs and designing production cycles to meet output targets Coordinate with avocado oil and macadamia value chains to ensure consistent feedstock supply quality, volume, and delivery timing Plan production around the weekly maintenance window and any planned shutdowns Revise production schedules in response to staff absence, equipment downtime, or feedstock supply shortfalls Liaise with utility providers (electricity, water, diesel) to ensure uninterrupted facility operation; track utility usage and resolve outages Coordinate with the maintenance staff on preventative maintenance execution, breakdown response, and shift coverage Partner with the lab on quality control and non-conformance management Coordinate with the Logistics conduct performance reviews, and development planning for direct reports Track and report production KPIs (output, yield, downtime, quality), budget performance, and MRV completeness as required Implement and continuously improve standard operating procedures across both production lines Electrical Engineering Leadership Develop and own the facility’s preventive electrical maintenance plan, aligned to the 48-hour run / 12-hour maintenance cycle Lead or supervise all electrical and instrumentation work during planned maintenance windows Supervise and mentor on-shift Maintenance Technicians on electrical tasks and safety procedures Diagnose and resolve electrical faults, control system errors, and instrumentation issues during production Maintain electrical schematics, wiring diagrams, control panel documentation, and PLC/SCADA configurations Ensure all electrical work complies with Kenyan electrical regulations and site safety standards Manage and calibrate sensors, instrumentation, and control systems across both production lines Liaise with utility providers, equipment vendors, and external electrical contractors as needed Career Growth and Development We have a strong culture of constant learning and we invest in developing our people. You'll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You'll have the opportunity to shape a growing organization and build a rewarding long-term career. Qualifications Across all roles, these are the general qualifications we look for. For this role specifically, you will have: Electrical Degree or diploma in Electrical Engineering or a related field 2+ years of experience in electrical maintenance in an industrial or manufacturing environment Experience with control systems, PLCs, SCADA, or industrial instrumentation strongly preferred Valid electrical competency certification (Kenya Power or equivalent) preferred Strong diagnostic and fault-finding skills under operational pressure Knowledge Ability to forecast inputs, design production cycles, and manage production data from source to final storage Experience coordinating with maintenance, quality, and external supplier teams in a multi-shift environment Strong analytical skills with proficiency in Google Sheets / Excel for production planning, KPI tracking, and MRV documentation Knowledge of preventive, corrective, and condition-based maintenance principles, including developing and implementing preventative maintenance programmes Familiarity with lockout/tagout (LOTO) procedures, electrical safety standards, and Kenyan electrical regulations (EPRA) Other Willingness to be on-call for electrical emergencies outside of standard hours Preferred Start Date As soon as possible Job Location Sagana, Kenya Benefits Health insurance, paid time off Contract Duration 1 Year Eligibility This role is only open to citizens or permanent residents of Kenya. Application Deadline 13 September 2026. Please note that we hire on a rolling basis, which means that applications are reviewed and processed on a continuous basis until a hire is made. One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address. Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organization's mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.", "summaryDescription" : "Tupande Biochar Production and Electrical Engineer (Fixed-Term) at One Acre Fund. Skills: Biochar production, Electrical maintenance, Production coordination, Control systems. Manage production schedules. Forecast production inputs", "postedDate" : "2026-06-15T23:29:43.826", "createdAt" : "2026-06-15T23:29:43.826", "lastUpdated" : "2026-06-16T08:06:26.447", "ingestTimestamp" : "2026-06-15T23:29:43.826", "mongoId" : "6a3066fbf292fd229cfb7df1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Production planning", "KPI tracking", "MRV documentation", "Electrical fault finding", "Instrumentation calibration", "Biochar production", "Electrical maintenance", "Production coordination", "Control systems", "Quality control", "Budget performance", "Preventive maintenance", "Corrective maintenance", "Condition-based maintenance", "Data analysis", "Maintenance planning", "Pyrolysis lines", "Avocado oil value chain", "Macadamia value chain", "Electrical regulations Kenya", "Site safety standards", "Valid electrical competency certification", "Google Sheets", "Excel" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Agriculture", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ce3b974d8ee00a0a612c3", "title" : "High School Physical Education and Health Instructor", "industry" : "Education", "salary" : { "min" : 58500.0, "max" : 87500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level High School Physical Education and Health Instructor in Columbus, United States, adjusted for industry and seniority." }, "location" : "Columbus, OH", "locations" : [ "Columbus, OH" ], "certifications" : [ "Teaching certification in Physical Education and Health" ], "timestamp" : "2026-06-16T03:18:32.661", "fingerprint" : "5bb8e7ba96794b1267dcff6b28e882a31b0bcfd5983f90f77138d3abb73b191e", "source" : "jazzhr", "language" : "en", "externalId" : "eg9Gj1ZYkO", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "professionalSkills" : [ "Curriculum development", "Student assessment", "Classroom management" ], "hardSkillsList" : [ "Physical education instruction", "Health education", "Lesson planning" ], "hardSkills" : [ { "name" : "Physical education instruction", "level" : "intermediate" }, { "name" : "Health education", "level" : "intermediate" }, { "name" : "Lesson planning", "level" : "intermediate" } ], "majorSkills" : "Physical Education, Health Education, Teaching", "majorSkillsList" : [ "Physical Education", "Health Education", "Teaching" ], "coreResponsibilities" : "Teach physical education classes, Teach health education classes, Develop lesson plans, Assess student progress, Manage classroom behavior, Promote student health and wellness, Collaborate with other teachers, Communicate with parents", "teamCollaboration" : "Departmental meetings; School-wide initiatives", "domainKnowledge" : "Adolescent development; Health and safety standards; Sports and fitness principles", "domainList" : [ "adolescent-development", "health-and-safety-standards", "sports-and-fitness-principles" ], "domainSpecificKnowledge" : [ "Adolescent development", "Health and safety standards", "Sports and fitness principles" ], "communicationSkills" : "Parent communication", "documentationSkills" : "Student records", "problemSolvingSkills" : "Student behavior management", "outcomesObjectives" : "Improve student physical fitness; Promote healthy lifestyle choices; Ensure student safety", "qualificationsBasic" : "High School Diploma or GED, Bachelor's degree in Physical Education or related field, Teaching certification in Physical Education and Health, Experience teaching high school students", "qualificationsPreferred" : "Master's degree in Education or related field, Coaching experience, Experience with curriculum development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "High School Physical Education and Health Instructor. Skills: Physical Education, Health Education, Teaching. Teach physical education classes. Teach health education classes", "createdAt" : "2026-06-14T18:46:45.848", "lastUpdated" : "2026-06-16T03:18:32.661", "ingestTimestamp" : "2026-06-14T18:46:45.848", "mongoId" : "6a2ce3b974d8ee00a0a612c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58500, "salaryAnnualMax" : 87500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Physical education instruction", "Health education", "Lesson planning", "Physical Education", "Health Education", "Teaching", "Curriculum development", "Student assessment", "Classroom management", "Adolescent development", "Health and safety standards", "Sports and fitness principles", "Teaching certification in Physical Education and Health" ], "skillCount" : 13, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e3ce260f92cbf8ea71", "title" : "Speed Programs Analyst, EU Speed Programs", "company" : "Amazon Business EU SARL (UK)", "industry" : "Supply Chain/Transportation Management, Buying/Planning, transportation and logistics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Speed Programs Analyst in Luxembourg, Luxembourg, adjusted for company size and industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T05:45:12.928", "fingerprint" : "2d3fba1b5b608747e4b7eaa6d46c21491df5ee39589741c5218a9b671678c701", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100653/apply", "externalId" : "a3131340-2f7f-421e-9b6e-d86d08af02d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" }, { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" }, { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" }, { "city" : "Milan", "state" : "Lombardy", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" }, { "city" : "Madrid", "state" : "Community of Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Luxembourg, Luxembourg; London, United Kingdom; Munich, Bavaria, Germany; Paris, France; Milan, Lombardy, Italy; Madrid, Community of Madrid, Spain", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Network performance", "Process management", "Resource allocation" ], "hardSkillsList" : [ "Data analysis", "Problem solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "majorSkills" : "Network optimization, Operational metrics, Cross-functional execution", "majorSkillsList" : [ "Network optimization", "Operational metrics", "Cross-functional execution" ], "coreResponsibilities" : "Drive network performance, Develop network speed initiatives, Improve customer order cut offs, Drive cost out activities, Improve asset utilization, Identify design solutions, Implement process solutions, Increase reliability, Deliver end to end performance, Remove defects from pipeline, Obtain approval from senior leaders, Schedule cross-functional resource allocation, Support complex cross functional projects, Support action plans, Generate solutions, Communicate network performance, Communicate risks, Communicate mitigation activities, Drive functional teams, Drive individuals", "teamCollaboration" : "Cross-functional environment; First and middle mile stakeholders; Operational AMZL Teams; Transportation functions; Senior stakeholders; Functional teams; Individuals at all levels", "projectManagementSkills" : [ "Project execution", "Complex projects", "Action plans" ], "domainKnowledge" : "EU Operations; Fast network; Ultra fast network; SD network programs; In-station operations; Seasonal peak demand", "domainList" : [ "eu-operations", "fast-network", "ultra-fast-network", "sd-network-programs", "in-station-operations", "seasonal-peak-demand" ], "domainSpecificKnowledge" : [ "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand" ], "toolProficiency" : [ "Microsoft Excel" ], "communicationSkills" : "Communicating with senior management; Communicating with senior stakeholders; Effective communicator", "problemSolvingSkills" : "Problem solving; Analytical thinking", "outcomesObjectives" : "Deliver actionable insights; Impact daily business; Improve customer experience; Increase reliability; Deliver performance improvement; Improve performance", "qualificationsBasic" : "Bachelor's degree or equivalent, Deep dive operational metrics, Network planning or logistics/operations management role, Interacting with cross-functional teams, Proficient with Microsoft Excel, Fluent in written and spoken English", "qualificationsPreferred" : "Master's degree or equivalent, Presentations and whiteboarding skills, Prioritizing and handling multiple assignments, Completing complex tasks quickly, Sound business judgment, Proven ability to influence others, Analytical thinking skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "[This role can be based in Luxembourg, London, Munich, Paris, Milan, Madrid] Speed is one of the key growth pillar for EU Operations. We are the forefront of this transformational change offering and building services and network that are at the leading end of Fast and ultra fast network. The Speed Program Team drives the SD network programs with cost-optimal and speed and quality aware solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems. We are now looking to hire a passionate, dynamic, analytical, innovative, hands-on and customer-obsessed candidate to support network optimization. The Speed Programs Analyst act as the lead on driving network performance (quality, speed and cost) through projects and network initiatives, and will form a business partnership with first and middle mile stakeholders and operational AMZL Teams. You will play a key role in developing and deploying network speed initiatives, delivering our vision to improve customer order cut offs and driving great customer experience, as well as in our cost out activities and asset utilization. A significant proportion of role will be identifying and implementing design and process solutions that increase the reliability and consistent delivery of end to end performance, removing defects from the pipeline and deliver a corresponding improvement. The role will own the approval from senior functional leaders to enable strategies to improve performance and schedule cross-functional resource allocation efficiently and effectively. You will work closely with our Transportation functions and will be a natural self-starter who is comfortable supporting complex cross functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator. This position involves regular communication with senior management on network performance, risks and time critical mitigation activities. In order to be successful in this position, you need to be comfortable interfacing with senior stakeholders as well as driving various functional teams and individuals at all levels of the organization. Keeping an open mind, sense of humor, drive and ambition will help you remain innovative in our culture. This will be an exciting opportunity for you to possess a high level of autonomy, drive real operational improvements while managing a variety of job responsibilities. Basic Qualifications: - - Bachelor's degree or equivalent - - Experience in deep diving operational metrics and problem solving - - Work experience within a network planning or logistics/operations management role - - Experience interacting with cross-functional teams - Proficient with Microsoft Excel - Fluent in written and spoken English Preferred Qualifications: - Master's degree or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience with Microsoft Office products and applications - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround - - Sound business judgment, proven ability to influence others, and strong analytical thinking skills Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Speed Programs Analyst, EU Speed Programs at Amazon Business EU SARL (UK). Skills: Network optimization, Operational metrics, Cross-functional execution. Drive network performance. Develop network speed initiatives", "postedDate" : "2026-06-13T11:40:50.299", "createdAt" : "2026-06-13T11:40:50.299", "lastUpdated" : "2026-06-15T05:45:12.928", "ingestTimestamp" : "2026-06-13T11:40:50.299", "mongoId" : "68e0a7e3ce260f92cbf8ea71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100653/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Problem solving", "Network optimization", "Operational metrics", "Cross-functional execution", "Network performance", "Process management", "Resource allocation", "Project execution", "Complex projects", "Action plans", "EU Operations", "Fast network", "Ultra fast network", "SD network programs", "In-station operations", "Seasonal peak demand", "Microsoft Excel" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7f0074d8ee00a0954452", "title" : "Product Test Engineer (Electrical & Firmware)", "company" : "iFIT", "industry" : "Manufacturing", "salary" : { "min" : 85000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "Six Sigma", "Process improvement certification" ], "timestamp" : "2026-06-16T06:21:18.075", "fingerprint" : "e1dde1356c011c1c6e2b9974f4a6b17146fa5f485f07d504e5dce3a5137f0534", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.ifit.com/careers?gh_jid=4284327009", "externalId" : "4284327009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Logan", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.7313063,-111.8349140" } ], "locationText" : "Logan, Utah, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Firmware Engineering, Electrical Engineering, AI", "professionalSkills" : [ "Process improvement", "Root cause analysis", "Troubleshooting" ], "hardSkillsList" : [ "Test planning", "Test execution", "Validation planning", "Data collection", "Automated reporting" ], "softSkillsList" : [ "Problem-solving", "Solutions-oriented" ], "hardSkills" : [ { "name" : "Test planning", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" }, { "name" : "Validation planning", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Automated reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Solutions-oriented" } ], "majorSkills" : "Product testing, Firmware testing, Electrical testing, Validation", "majorSkillsList" : [ "Product testing", "Firmware testing", "Electrical testing", "Validation" ], "coreResponsibilities" : "Support increased product sales, Design test protocols for new products, Design test protocols for product changes, Document each test procedure, Document test results, Document test changes, Document test blockers, Integrate AI solutions into tasks, Develop automated systems for data collection, Develop automated systems for data saving, Make technical contributions, Develop comprehensive test plans, Validate product designs, Verify product designs, Participate in NPI testing, Ensure products meet quality standards, Ensure products meet performance standards, Ensure products meet safety standards, Define test requirements, Drive process improvements, Refine test protocols, Execute test protocols, Execute validation plans, Ensure robust product performance, Lead root cause analysis, Troubleshoot product test failures, Troubleshoot non-conformance issues, Resolve test failures, Prevent future test failures, Ensure compliance with standards, Ensure compliance with industry standards, Champion continuous improvement initiatives, Enhance test efficiency, Enhance product quality, Provide detailed reports, Provide actionable reports, Communicate test findings, Communicate mitigation strategies", "teamCollaboration" : "Cross-functional teams; Product development teams; Manufacturing teams; Quality assurance teams; R&D teams; Design teams", "projectManagementSkills" : [ "NPI testing procedures" ], "domainKnowledge" : "Product testing; Firmware engineering; Electrical engineering; Consumer products; Medical devices; UL standards; CE standards; RoHS standards", "domainList" : [ "product-testing", "firmware-engineering", "electrical-engineering", "consumer-products", "medical-devices", "ul-standards", "ce-standards", "rohs-standards" ], "domainSpecificKnowledge" : [ "Product testing", "Firmware engineering", "Electrical engineering", "Consumer products", "Medical devices", "UL standards", "CE standards", "RoHS standards" ], "toolProficiency" : [ "Test equipment", "Automated testing systems" ], "communicationSkills" : "Present technical data", "documentationSkills" : "Document test procedures; Document test results", "innovationCreativity" : "AI solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Problem-solving; Solutions-oriented", "specialRequirements" : "Authorized to work in the United States", "outcomesObjectives" : "Ensure products meet standards; Enhance test efficiency; Enhance product quality", "qualificationsBasic" : "Bachelor's degree in Engineering, 2+ years of experience, Familiarity with NPI process, Hands-on experience with product testing, Hands-on experience with product validation, Hands-on experience with troubleshooting, Background in test methodologies, Background in test equipment, Background in automated testing processes, Proven ability to work within a cross-functional team, Authorized to work in the United States without sponsorship", "qualificationsPreferred" : "Ability to use AI creatively, Knowledge of industry standards, Knowledge of regulatory requirements, Experience in testing consumer products, Experience in testing medical devices, Familiarity with test automation tools, Familiarity with test automation software, Six Sigma certification, Process improvement certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey. We are currently seeking an ambitious pacesetter to join our team as a Product Test Engineer (Electrical/Firmware) onsite in Logan, Utah. iFIT is looking for a driven and detail-oriented Product Test Engineer to play a pivotal role in ensuring the quality and reliability of our products through robust testing, validation, and process improvement initiatives. In this role, you will work closely with cross-functional teams — including product development, manufacturing, and quality assurance — to ensure that all products meet or exceed our high standards before they reach the market. Your contributions will drive the testing strategy and ensure the seamless execution of NPI testing procedures, identifying potential risks and improving testing efficiency and accuracy. COMPENSATION $85,000 - $95,000 ROLE COMMITMENTS Support increased product sales by effectively designing test protocols for new products and product changes. Facilitate accurate dissemination of information by properly documenting each test procedure and its results, changes, and blockers. Integrate AI solutions into routine everyday tasks in order to increase efficiency and productivity. Develop automated systems for collecting and saving data to enable more accurate reporting. ESSENTIAL DUTIES AND RESPONSIBILITIES Make technical contributions as part of a team of product test engineers. Develop and implement comprehensive test plans for new product development, ensuring thorough validation and verification of product designs. Participate in the NPI testing process for new designs, ensuring that all products meet quality, performance, and safety standards. Collaborate with cross-functional teams including R&D, Design, Manufacturing, and Quality Assurance to define test requirements, ensure alignment, and drive process improvements. Establish, refine, and execute test protocols, methodologies, and validation plans to ensure robust product performance under various conditions. Lead root cause analysis and troubleshooting for product test failures and non-conformance issues, working with teams to resolve and prevent future occurrences. Ensure compliance and industry standards are met during the testing and validation processes. Champion continuous improvement initiatives, leveraging data and insights to enhance test efficiency and product quality. Provide detailed, actionable reports to senior leadership on test results, progress, and risks, ensuring clear communication of findings and mitigation strategies. EDUCATION & EXPERIENCE Education and Basic Qualifications Bachelor's degree in Engineering, Firmware Engineering, Electrical Engineering, or a related field. 2+ years of experience in product test engineering or validation. Familiarity with the NPI process and hands-on experience with product testing, validation, and troubleshooting. Strong background in test methodologies, test equipment, and automated testing processes. Proven ability to work within a cross-functional team, collaborating with other team members and supporting multiple projects concurrently. Excellent communication skills, with the ability to present complex technical data to non-technical stakeholders. Strong problem-solving skills with a proactive, solutions-oriented mindset. Highly motivated to achieve both team and individual goals. Authorized to work in the United States without sponsorship. Preferred Qualifications Ability to use AI to creatively solve complex problems and create automated testing solutions. Knowledge of industry standards and regulatory requirements related to product testing such as UL, CE, and RoHS. Experience in testing consumer products, medical devices, or similar industries. Familiarity with test automation tools and software. Six Sigma or similar process improvement certification. DISCLAIMER Compensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status. Although we currently may consider hiring in the states listed below, not all positions are available in all locations, and work in a particular state is not guaranteed. Current list of states where iFIT may consider hiring: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY. Subject to applicable state laws, your employment at iFIT is \"at-will\". At-will employment means that you and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all. Pay Range: $85,000—$95,000 USD iFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.", "summaryDescription" : "Product Test Engineer (Electrical & Firmware) at iFIT. Skills: Product testing, Firmware testing, Electrical testing, Validation. Support increased product sales. Design test protocols for new products", "postedDate" : "2026-06-14T18:33:11.621", "createdAt" : "2026-06-14T18:33:11.621", "lastUpdated" : "2026-06-16T06:21:18.075", "ingestTimestamp" : "2026-06-14T18:33:11.621", "mongoId" : "6a2c7f0074d8ee00a0954452", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Test planning", "Test execution", "Validation planning", "Data collection", "Automated reporting", "Problem-solving", "Solutions-oriented", "Product testing", "Firmware testing", "Electrical testing", "Validation", "Process improvement", "Root cause analysis", "Troubleshooting", "NPI testing procedures", "Firmware engineering", "Electrical engineering", "Consumer products", "Medical devices", "UL standards", "CE standards", "RoHS standards", "Six Sigma", "Process improvement certification", "Test equipment", "Automated testing systems" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677b00", "title" : "eDrive System Test-Concepts and Management", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior eDrive System Test-Concepts and Management role in Beijing, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "certifications" : [ "Driver license" ], "timestamp" : "2026-06-15T11:43:06.967", "fingerprint" : "bb8a810864f8b8e25b0c4216611f7db15c8f903ac83f33955492402b3af51c0b", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=880787", "externalId" : "880787", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Matlab", "professionalSkills" : [ "Logical thinking", "Technical judgement" ], "hardSkillsList" : [ "Data analysis", "Data mining" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" } ], "majorSkills" : "EDrive system testing, Data analysis, Test planning", "majorSkillsList" : [ "EDrive system testing", "Data analysis", "Test planning" ], "coreResponsibilities" : "Develop eDrive testing catalogue, Add test case definition, Evaluate dependencies to other domains, Create test cases, Benchmark testing strategies, Improve efficiency, Improve test coverage, Improve test concept, Improve test coverage, Drive global testing initiative, Replace vehicle testing, Develop data mining tools, Monitor KPI, Detect mis-behavior, Work with stakeholders, Test new feature implementation, Validate bug-fix", "teamCollaboration" : "Work with stakeholders; Project team; Function owner; Component responsible", "projectManagementSkills" : [ "Test planning", "Project specific test methods" ], "domainKnowledge" : "eDrive system; eDrive HV system; eDrive architecture; Networking; Powernet; Diagnose; Drivetrain system; e-drive/PHEV; High voltage battery; Charging system; Chinese customer driving scenario; MB system requirement; ADAS; Telematics", "domainList" : [ "edrive-system", "edrive-hv-system", "edrive-architecture", "networking", "powernet", "diagnose", "drivetrain-system", "e-drive-phev", "high-voltage-battery", "charging-system", "chinese-customer-driving-scenario", "mb-system-requirement", "adas", "telematics" ], "domainSpecificKnowledge" : [ "eDrive system", "eDrive HV system", "eDrive architecture", "Networking", "Powernet", "Diagnose", "Drivetrain system", "e-drive/PHEV", "High voltage battery", "Charging system", "Chinese customer driving scenario", "MB system requirement", "ADAS", "Telematics" ], "toolProficiency" : [ "Vector CANape", "Vector CANoe", "INCA", "DTS Monaco" ], "communicationSkills" : "Excellent communication", "problemSolvingSkills" : "Logical thinking; Technical judgement; Mis-behavior detection", "outcomesObjectives" : "Deliver best product; Ensure final quality", "qualificationsBasic" : "5 years E-drive powertrain testing, 5 years data analysis, 5 years data mining, In-depth understanding eDrive system, In-depth understanding eDrive HV system, In-depth understanding testing, In-depth understanding validation, In-depth understanding integration, Fluent written/spoken English", "qualificationsPreferred" : "Understanding eDrive architecture, Understanding networking, Understanding powernet, Understanding diagnose, German language beneficial, Understanding drivetrain system, Understanding e-drive/PHEV, Understanding high voltage battery, Understanding Charging system", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "China as our most important and greatest market globally and is pushing massively towards electric mobility. Within this fast growing and developing business of Mercedes-Benz in China, the drivetrain system department is continuously developing and plays a signification role for deliver best product to our customer. While series production for BEVs will soon be running under full steam, new electric products need to be implemented. For our drivetrain integration team, this means massive integration relevant testing & validation & release need to be done soon. To ensure the final quality for our product, efficiency test planning & project specific test methods are the key. This means you will: Ø Further develop the eDrive testing catalogue and add test case definition based on Chinese customer driving scenario and MB system requirement Ø Evaluate dependencies to other domains like ADAS and Telematics and create test cases to ensure prober interoperability between the domains Ø Benchmark testing strategies from other OEMs or other domains to continuously improve efficiency and test coverage or eDrive system related testing Ø Using Big-Data methods, to further improve test concept and coverage based on existing field/development data Ø Drive global testing initiative with the “move left” approach, to replace vehicle testing by test benches like HIL and eDribe Lab Ø Development of data mining tools for KPI monitoring & mis-behavior detection from big fleet of development vehicles, e.g. Python or Matlab Ø Work with other stakeholders, e.g. project team, function owner, component responsible, for smooth and fast iteration regarding new added feature implementation test and bug-fix validation. Education: M aster’s degree in automotive or similar. Experience: At least 5 years working experience in E-drive powertrain testing and data analysis/data mining relevant area In-depth understanding of eDrive system or eDrive HV system design, testing, validation, integration and relevant areas. Understanding on eDrive architecture, such as networking, powernet, diagnose etc. is beneficial. Understanding drivetrain system working principle, e.g. e-drive/PHEV, high voltage battery , Charging system . Logical thinking for mis-behavior detection & technical judgement providing based on data analysis result. Specific knowledge fluent written/spoken English, German beneficial Software skills in Vector (CANape/CANoe), INCA and DTS Monaco mandatory Excellent communication skills (for effective communication with stakeholders) Team-Oriented working attitude, ability to work independently, fast learning and self-motivated. Driver license Mercedes-Benz Group China Ltd.", "summaryDescription" : "eDrive System Test-Concepts and Management at Mercedes-Benz Group China Ltd.. Skills: EDrive system testing, Data analysis, Test planning. Develop eDrive testing catalogue. Add test case definition", "createdAt" : "2026-06-14T04:43:10.205", "lastUpdated" : "2026-06-15T11:43:06.967", "ingestTimestamp" : "2026-06-14T04:43:10.205", "mongoId" : "69ce5e3b9bc74574cb677b00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data mining", "EDrive system testing", "Test planning", "Logical thinking", "Technical judgement", "Project specific test methods", "eDrive system", "eDrive HV system", "eDrive architecture", "Networking", "Powernet", "Diagnose", "Drivetrain system", "e-drive/PHEV", "High voltage battery", "Charging system", "Chinese customer driving scenario", "MB system requirement", "ADAS", "Telematics", "Driver license", "Vector CANape", "Vector CANoe", "INCA", "DTS Monaco" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308a5df292fd229c0960c1", "title" : "Electrical and Automation Engineer - NEMA, NPFA 79, NEC.", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical and Automation Engineer in Blythewood, United States, adjusted for mid-seniority and the manufacturing industry." }, "location" : "Blythewood, SC, United States", "locations" : [ "Blythewood", "SC", "United States" ], "timestamp" : "2026-06-16T11:39:29.089", "fingerprint" : "95e32c2fb944560065b8b01ee59c28ff877ef377d190302f4eb952829b91a4f2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132225825-electrical-and-automation-engineer-nema-npfa-79-nec-", "externalId" : "744000132225825", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Blythewood", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.2143159,-80.9739770" } ], "locationText" : "Blythewood, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School Diploma or Equivalent", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Automation technology, Production systems, Industrial network structures, PLCs, Control units, Siemens TIA Portal, SCADA, MES, Electrical designing, Torque data management, NEMA, NFPA 79, NEC", "professionalSkills" : [ "Technical drawings interpretation", "Equipment electric planning", "Presenting results" ], "hardSkillsList" : [ "Assembly experience", "Equipment automation", "Electrical specifications", "Torque data management" ], "softSkillsList" : [ "Problem-solving skills" ], "hardSkills" : [ { "name" : "Assembly experience", "level" : "intermediate" }, { "name" : "Equipment automation", "level" : "intermediate" }, { "name" : "Electrical specifications", "level" : "intermediate" }, { "name" : "Torque data management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving skills" } ], "majorSkills" : "Electrical design, Automation technology, Production systems, NEMA, NFPA 79, NEC", "majorSkillsList" : [ "Electrical design", "Automation technology", "Production systems", "NEMA", "NFPA 79", "NEC" ], "coreResponsibilities" : "Ensure production processes and electrical function of equipment", "teamCollaboration" : "Presenting results to the team; Presenting results to the management; Presenting results to the board", "domainKnowledge" : "Automotive production; Assembly; Equipment electric; Equipment automation; Automotive equipment; Automotive conveyors; Semi-automatic stations; Cockpit installation; Automatic windshield installation; Roof system installation; Filling systems; Torque data management; Local electrical regulations; Industrial machines; Shopfloor IT; Building infrastructure; Pilot hall; EHS department", "domainList" : [ "automotive-production", "assembly", "equipment-electric", "equipment-automation", "automotive-equipment", "automotive-conveyors", "semi-automatic-stations", "cockpit-installation", "automatic-windshield-installation", "roof-system-installation", "filling-systems", "torque-data-management", "local-electrical-regulations", "industrial-machines", "shopfloor-it", "building-infrastructure", "pilot-hall", "ehs-department" ], "domainSpecificKnowledge" : [ "Automotive production", "Assembly", "Equipment electric", "Equipment automation", "Automotive equipment", "Automotive conveyors", "Semi-automatic stations", "Cockpit installation", "Automatic windshield installation", "Roof system installation", "Filling systems", "Torque data management", "Local electrical regulations", "Industrial machines", "Shopfloor IT", "Building infrastructure", "Pilot hall", "EHS department" ], "toolProficiency" : [ "Siemens TIA Portal" ], "communicationSkills" : "Presenting results", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Work in a fast-paced environment, Manage multiple projects simultaneously", "qualificationsBasic" : "High School Diploma or Equivalent required, 5+ years professional experience in automotive production, 3+ years of experience in Assembly, 3+ years of experience in equipment electric and equipment automation, Ability to interpret technical drawings and specifications, Basic technical knowledge in automation technology and/or production systems, Basic knowledge of production systems in the field of production, Knowledge in local electrical regulations, guidelines and standards like NEMA, NFPA 79, NEC, Knowledge in equipment electric planning processes", "qualificationsPreferred" : "Bachelor's degree in mechanical, electrical engineering, or related fields preferred, Master’s degree is a plus, Knowledge about stakeholders and interfaces to the assembly area, Knowledge in equipment electric planning processes starting from the concept up to the final handover to production, Skills in web-based applications, Costumer orientated skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Here's what else you'll bring: • Bachelor's degree in mechanical, electrical engineering, or related fields preferred. Master’s degree is a plus. • Minimum of High School Diploma, GED or equivalent required for all roles. • 5+ years of professional experience in automotive production. • 3+ years of experience in Assembly. • 3+ years of experience in equipment electric and equipment automation. • Ability to interpret technical drawings and specifications. • Basic technical knowledge in automation technology and/or production systems (e.g. industrial network structures, PLCs and control units, Siemens TIA Portal). • Basic knowledge of production systems in the field of production (e.g. SCADA, Back-up and Recovery systems, MES). Special skills in electrical designing and specification general assembly equipment, like: • Automotive equipment and automotive conveyors. • Semi-automatic stations like Cockpit installation and similar. • Fully automatic stations like automatic windshield installation, roof system installation filling systems or similar. • Torque data management. • Knowledge in local electrical regulations, guidelines and standards like NEMA (National Electrical Manufacturers Association), NFPA 79 – Electrical Standard for Industrial Machines, NEC (National Electrical Code) and similar. Desirable skills: • Knowledge about stakeholders and interfaces to the assembly area (like production, IT, shopfloor IT, building, infrastructure, pilot hall, EHS department). • Knowledge in equipment electric planning processes starting from the concept up to the final handover to production. • Ensure production processes and electrical function of equipment according to local regulations and standards. • Fundamental skills in office applications and presenting results to the team, the management or the board. • Skills in web-based applications. • Costumer orientated skills. • Excellent problem-solving skills and attention to detail. • Ability to work in a fast-paced environment and manage multiple projects simultaneously. Skills and Certifications [note: bold skills and certification are required]: • Knowledge in equipment electric planning processes. • Basic technical knowledge in automation technology and/or production systems. • Knowledge in local electrical regulations, guidelines and standards like NEMA, NPFA 79, NEC. Candidate Details: • 5+ to 7 years experience. • Seniority Level: Mid-Senior. • Management Experience Required: No. • Minimum Education: High School Diploma or Equivalent. Regards, Mohammed ilyas, PH - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Electrical and Automation Engineer - NEMA, NPFA 79, NEC. at Syncreon Consulting. Skills: Electrical design, Automation technology, Production systems, NEMA, NFPA 79, NEC. Ensure production processes and electrical function of equipment", "postedDate" : "2026-06-15T14:55:45.000", "createdAt" : "2026-06-16T01:43:20.794", "lastUpdated" : "2026-06-16T11:39:29.089", "ingestTimestamp" : "2026-06-16T01:43:20.794", "mongoId" : "6a308a5df292fd229c0960c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Assembly experience", "Equipment automation", "Electrical specifications", "Torque data management", "Problem-solving skills", "Electrical design", "Automation technology", "Production systems", "NEMA", "NFPA 79", "NEC", "Technical drawings interpretation", "Equipment electric planning", "Presenting results", "Automotive production", "Assembly", "Equipment electric", "Automotive equipment", "Automotive conveyors", "Semi-automatic stations", "Cockpit installation", "Automatic windshield installation", "Roof system installation", "Filling systems", "Local electrical regulations", "Industrial machines", "Shopfloor IT", "Building infrastructure", "Pilot hall", "EHS department", "Siemens TIA Portal" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30592df292fd229cf458d0", "title" : "Electrical and Automation Engineer - NEMA, NPFA 79, NEC.", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Electrical and Automation Engineer in Blythewood, United States, adjusted for mid-seniority and the manufacturing industry." }, "location" : "Blythewood, SC, United States", "locations" : [ "Blythewood", "SC", "United States" ], "timestamp" : "2026-06-16T08:03:24.819", "fingerprint" : "97c9e602847a9fdb9152fc8d0c947951c4f141906c924b4c95d2964c543ee2fa", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132225825-electrical-and-automation-engineer-nema-npfa-79-nec-", "externalId" : "744000132225825", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Blythewood", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.2143159,-80.9739770" } ], "locationText" : "Blythewood, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School Diploma or Equivalent", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Automation technology, Production systems, Industrial network structures, PLCs, Control units, Siemens TIA Portal, SCADA, MES, Torque data management", "professionalSkills" : [ "Electrical designing" ], "hardSkillsList" : [ "Equipment electric planning" ], "softSkillsList" : [ "Problem-solving skills" ], "hardSkills" : [ { "name" : "Equipment electric planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving skills" } ], "majorSkills" : "Electrical designing, Automation technology, NEMA, NFPA 79, NEC", "majorSkillsList" : [ "Electrical designing", "Automation technology", "NEMA", "NFPA 79", "NEC" ], "coreResponsibilities" : "Ensure production processes, Ensure electrical function of equipment", "teamCollaboration" : "Presenting results to the team; Presenting results to management; Presenting results to the board", "domainKnowledge" : "Automotive equipment; Automotive conveyors; Semi-automatic stations; Cockpit installation; Roof system installation; Filling systems; Assembly area", "domainList" : [ "automotive-equipment", "automotive-conveyors", "semi-automatic-stations", "cockpit-installation", "roof-system-installation", "filling-systems", "assembly-area" ], "domainSpecificKnowledge" : [ "Automotive equipment", "Automotive conveyors", "Semi-automatic stations", "Cockpit installation", "Roof system installation", "Filling systems", "Assembly area" ], "toolProficiency" : [ "Siemens TIA Portal" ], "problemSolvingSkills" : "Excellent problem-solving skills", "qualificationsBasic" : "High School Diploma or Equivalent, 5+ years professional experience, 3+ years experience in Assembly, 3+ years experience in equipment electric, 3+ years experience in equipment automation, Ability to interpret technical drawings, Basic technical knowledge in automation technology, Basic knowledge of production systems, Knowledge in local electrical regulations, Knowledge in NEMA, Knowledge in NFPA 79, Knowledge in NEC, Knowledge in equipment electric planning processes", "qualificationsPreferred" : "Bachelor's degree in mechanical engineering, Bachelor's degree in electrical engineering, Master's degree is a plus, Knowledge about stakeholders and interfaces, Skills in web-based applications, Costumer orientated skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Here's what else you'll bring: • Bachelor's degree in mechanical, electrical engineering, or related fields preferred. Master’s degree is a plus. • Minimum of High School Diploma, GED or equivalent required for all roles. • 5+ years of professional experience in automotive production. • 3+ years of experience in Assembly. • 3+ years of experience in equipment electric and equipment automation. • Ability to interpret technical drawings and specifications. • Basic technical knowledge in automation technology and/or production systems (e.g. industrial network structures, PLCs and control units, Siemens TIA Portal). • Basic knowledge of production systems in the field of production (e.g. SCADA, Back-up and Recovery systems, MES). Special skills in electrical designing and specification general assembly equipment, like: • Automotive equipment and automotive conveyors. • Semi-automatic stations like Cockpit installation and similar. • Fully automatic stations like automatic windshield installation, roof system installation filling systems or similar. • Torque data management. • Knowledge in local electrical regulations, guidelines and standards like NEMA (National Electrical Manufacturers Association), NFPA 79 – Electrical Standard for Industrial Machines, NEC (National Electrical Code) and similar. Desirable skills: • Knowledge about stakeholders and interfaces to the assembly area (like production, IT, shopfloor IT, building, infrastructure, pilot hall, EHS department). • Knowledge in equipment electric planning processes starting from the concept up to the final handover to production. • Ensure production processes and electrical function of equipment according to local regulations and standards. • Fundamental skills in office applications and presenting results to the team, the management or the board. • Skills in web-based applications. • Costumer orientated skills. • Excellent problem-solving skills and attention to detail. • Ability to work in a fast-paced environment and manage multiple projects simultaneously. Skills and Certifications [note: bold skills and certification are required]: • Knowledge in equipment electric planning processes. • Basic technical knowledge in automation technology and/or production systems. • Knowledge in local electrical regulations, guidelines and standards like NEMA, NPFA 79, NEC. Candidate Details: • 5+ to 7 years experience. • Seniority Level: Mid-Senior. • Management Experience Required: No. • Minimum Education: High School Diploma or Equivalent. Regards, Mohammed ilyas, PH - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Electrical and Automation Engineer - NEMA, NPFA 79, NEC. at Syncreon Consulting. Skills: Electrical designing, Automation technology, NEMA, NFPA 79, NEC. Ensure production processes. Ensure electrical function of equipment", "postedDate" : "2026-06-15T14:55:45.000", "createdAt" : "2026-06-15T23:51:32.046", "lastUpdated" : "2026-06-16T08:03:24.819", "ingestTimestamp" : "2026-06-15T23:51:32.046", "mongoId" : "6a30592df292fd229cf458d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Equipment electric planning", "Problem-solving skills", "Electrical designing", "Automation technology", "NEMA", "NFPA 79", "NEC", "Automotive equipment", "Automotive conveyors", "Semi-automatic stations", "Cockpit installation", "Roof system installation", "Filling systems", "Assembly area", "Siemens TIA Portal" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176f474d8ee00a0c1b5ee", "title" : "Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning", "company" : "Amazon EU SARL (Spain Branch)", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Business Intelligence Engineer in Barcelona, Spain, adjusted for Amazon's company size and the e-commerce industry." }, "location" : "Barcelona, Catalonia, ESP", "locations" : [ "Barcelona, Catalonia, ESP" ], "timestamp" : "2026-06-15T08:57:57.042", "fingerprint" : "115d44ab58506b0e9b6dcc650636e191ec8c99cd989b19cb0a77fa82648cc4a3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436660/apply", "externalId" : "e4d4054e-531b-443a-82ac-bab47edb61db", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Catalonia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Catalonia, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, AWS", "professionalSkills" : [ "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Stakeholder management", "Project management" ], "hardSkillsList" : [ "Data quality checks", "Data analysis", "Statistical analysis", "Machine learning", "Data mining" ], "hardSkills" : [ { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Delivery Speed, Long-term Planning", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Delivery Speed", "Long-term Planning" ], "coreResponsibilities" : "Influence build a 3 year roadmap, Lead regular business review, Monitor progress of projects, Consolidate progress into status updates, Develop advanced metrics, Lead design of advanced metrics, Lead execution of advanced metrics, Develop reporting capabilities, Lead design of reporting capabilities, Lead execution of reporting capabilities, Develop bridging capabilities, Lead design of bridging capabilities, Lead execution of bridging capabilities, Turn data into business insights, Prioritize fixing system defects, Perform detailed data quality checks, Identify data discrepancies, Fix data discrepancies, Identify data inaccuracies, Fix data inaccuracies, Perform deep-dives, Perform data analysis, Uncover actionable insights, Provide recommendation on new metrics, Provide recommendation on business decision", "teamCollaboration" : "Partner teams; Cross-functional teams; Fulfillment centers; Transportation teams; Software developers; Finance teams; Retail teams", "projectManagementSkills" : [ "Roadmap planning", "Project management" ], "domainKnowledge" : "Delivery speed; Long-term planning; Supply chain; Logistics infrastructure; Fulfillment acceleration; Operations", "domainList" : [ "delivery-speed", "long-term-planning", "supply-chain", "logistics-infrastructure", "fulfillment-acceleration", "operations" ], "domainSpecificKnowledge" : [ "Delivery speed", "Long-term planning", "Supply chain", "Logistics infrastructure", "Fulfillment acceleration", "Operations" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Data-driven status updates", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Improve customer experience; Make deliveries faster; Deliver next-day", "qualificationsBasic" : "Experience programming data sets, Experience with design of experiments, Experience with statistical analysis, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills, Experience with data science, Experience with machine learning, Experience with data mining, Experience working with business stakeholders, Experience with SQL, Experience with data visualization, Experience with Tableau, Experience with Quicksight", "qualificationsPreferred" : "Experience managing results, Experience communicating results to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you! The team: Same Day Speed Data - Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. - We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. - Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. - We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. - Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day. Key job responsibilities This role will particularly suit someone with deep data engineering skills and an ability to navigate complex systems The role includes 80% analytical activities and 20% of stakeholder/project management. Innovation & Stakeholder/Project management: - Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to accelerate speed of deliveries - Lead regular business review with partner teams to monitor the progress of projects in the roadmap. - Consolidate progress into crisp and concise data-driven status updates. Data Analytics: - Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America - Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects. - Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies. - Perform deep-dives and data analysis using SQL (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision A day in the life An Amazon Business Intelligence Engineer starts the day by analyzing delivery speed data, collaborating with cross-functional teams to optimize processes. They create insightful reports and dashboards to aid decision-making for stakeholders like Operations and Logistics. By leveraging data science techniques, they forecast long-term trends to enhance delivery efficiency and customer satisfaction. They work closely with software developers, applying BI tools to improve system performance. Solving complex problems related to delivery speed and planning, they contribute to Amazon's goal of providing exceptional customer experiences. About the team GTS SLTP acts as the internal consulting team to help teams across Amazon achieves the right balance between customer experience and investments. Team members have a very large scope of impact and regularly interact with leadership two levels above them. Basic Qualifications: - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space Preferred Qualifications: - Experience managing, analyzing and communicating results to senior leadership 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning at Amazon EU SARL (Spain Branch). Skills: Business Intelligence, Data Engineering, Delivery Speed, Long-term Planning. Influence build a 3 year roadmap. Lead regular business review", "postedDate" : "2026-06-13T20:01:07.362", "createdAt" : "2026-06-13T20:01:07.362", "lastUpdated" : "2026-06-15T08:57:57.042", "ingestTimestamp" : "2026-06-14T01:26:53.519", "mongoId" : "6a2176f474d8ee00a0c1b5ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436660/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data quality checks", "Data analysis", "Statistical analysis", "Machine learning", "Data mining", "Business Intelligence", "Data Engineering", "Delivery Speed", "Long-term Planning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Stakeholder management", "Project management", "Roadmap planning", "Delivery speed", "Long-term planning", "Supply chain", "Logistics infrastructure", "Fulfillment acceleration", "Operations", "Tableau", "Quicksight" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3061aff292fd229cf976a0", "title" : "Optical Assistant", "company" : "Ace & Tate", "industry" : "Retail", "salary" : { "min" : 14.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:09:56.106", "fingerprint" : "fa8d19fe85279a41ecebb395fdfc1f9f66050c0f0955d556dad6935a8e3c5401", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AceTate/744000132222747-optical-assistant", "externalId" : "744000132222747", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "PART_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Create welcoming vibe, Deliver style advice, Share knowledge about lenses, Adjust frames, Polish lenses, Handle sales with care, Guide customers through upgrades", "communicationSkills" : "Style advice", "continuousLearning" : "Internal learning portal", "specialRequirements" : "8 hours", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hi, we’re Ace & Tate – and yes, we make glasses. But more than that, we make working here worth your while. We are looking for anOptical Assistant in London Duke Street, 8 hours. What our Optical Assistant do * Create a welcoming vibe by making every customer feel seen and excited to be in store. * Deliver clear style advice by helping customers find frames that feel right for them and sharing helpful style tips. * Share your knowledge by explaining the differences between lenses, coatings, and fits so customers can make the right choice. * Get every detail right by polishing lenses, adjusting frames, and ensuring every pair leaves looking sharp and ready to wear. * Handle sales with care by guiding customers through lens upgrades, coatings, and add-ons to make sure they leave with exactly what they need. What we offer * £14.80 per hour, plus up to 16% monthly bonus when store targets are reached. * Time to recharge with 28 days of holiday entitlement, increasing up to 33 days after two years of service based on full-time employment. * We care about you by offering wellbeing support, including healthy snacks, a collaboration with ClassPass, and the opportunity to book free sessions with a certified psychologist through OpenUp. * See in style with up to two free pairs of glasses per year, plus discounts for friends and family. * A culture to love through frequent and memorable team events. * Time to grow with unlimited access to our internal learning portal.", "summaryDescription" : "Optical Assistant at Ace & Tate. Create welcoming vibe. Deliver style advice", "postedDate" : "2026-06-15T14:47:24.000", "createdAt" : "2026-06-16T00:19:57.298", "lastUpdated" : "2026-06-16T10:09:56.106", "ingestTimestamp" : "2026-06-16T00:19:57.298", "mongoId" : "6a3061aff292fd229cf976a0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25146274d8ee00a00bb700", "title" : "Principal Product Mgr. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS)", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Advertising", "salary" : { "min" : 197000.0, "max" : 267800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:08:46.292", "fingerprint" : "c09fd032d3f396b01c30bbb5a69922faf7fde41c632b51f4574ac377b0d913e7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440511/apply", "externalId" : "cae909b3-455f-4f63-870d-79ce070c7e4d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "Data-driven products", "Scalable architectures", "Event-driven architectures" ], "hardSkillsList" : [ "Problem solving", "Analytical skills" ], "hardSkills" : [ { "name" : "Problem solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Brand measurement, Ad tech, Data science, Product management", "majorSkillsList" : [ "Brand measurement", "Ad tech", "Data science", "Product management" ], "coreResponsibilities" : "Define strategy, roadmap, delivery, Build data-driven reporting products, Help advertisers understand effectiveness, Identify optimization opportunities, Drive tangible business outcomes, Work backward from customer needs, Partner with engineering, Build scalable event-driven architectures, Drive adoption with stakeholders, Deliver campaign reporting, Produce analytics and reporting insights", "teamCollaboration" : "Engineering teams; Data science teams; Design teams; Internal stakeholders; External stakeholders", "projectManagementSkills" : [ "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Brand measurement; Ad tech; Data science", "domainList" : [ "brand-measurement", "ad-tech", "data-science" ], "domainSpecificKnowledge" : [ "Brand measurement", "Ad tech", "Data science" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Experiment and innovate", "problemSolvingSkills" : "Analytical skills; Problem solving skills", "outcomesObjectives" : "Grow their business", "qualificationsBasic" : "4+ years end to end product delivery, 8+ years technical product management, Bachelor's degree, Experience feature delivery tradeoffs, Experience owning roadmap strategy, Experience leading engineering discussions, Experience technical product management", "qualificationsPreferred" : "Experience working with Engineers, Experience project management methodologies, Experience business analysis, Experience process improvement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced, customer-focused Principal Product Manager – Technical to lead the development of innovative solutions in brand measurement. This role will play a pivotal part in helping advertisers measure, analyze, and optimize their brand-building campaigns across Amazon Ads. By delivering performance reporting and actionable insights, our team empowers global advertisers to connect their media investments with real customer outcomes. If you’re passionate about data-driven decision-making and developing solutions that impact millions of customers, this is the role for you! As part of the Brand Measurement team, you will define the strategy, roadmap, and delivery of technical solutions designed to help advertisers maximize their brand-building efforts. You will collaborate closely with engineering, data science, and design teams to build robust, data-driven reporting products. You will help advertisers understand the effectiveness of their campaigns, identify optimization opportunities, and drive tangible business outcomes. Your responsibilities will include working backward from the customer to identify needs, partnering with engineering to build scalable event-driven architectures to process billions of impressions and conversions daily, and driving adoption through close collaboration with internal and external stakeholders. Amazon is investing heavily in building a world class advertising business and we are at the forefront of that explosive growth. We deliver campaign reporting for all of Amazon Ads and produce analytics and reporting insights that are used by advertisers to grow their business every day. We are highly motivated and collaborative with an entrepreneurial spirit and agile bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team with a relentless focus on the customer, you’ve come to the right place. The ideal candidate will have a proven track record of delivering data-driven products at scale, with strong analytical and problem-solving skills. They will have excellent written and verbal communication skills, enabling them to effectively influence stakeholders and drive cross-functional collaboration. Basic Qualifications: - 4+ years of end to end product delivery experience - 8+ years of technical product or program management experience - Bachelor's degree - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience leading engineering discussions around technology decisions and strategy related to a product - Experience technical product management Preferred Qualifications: - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 197,900.00 - 267,800.00 USD annually USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually", "summaryDescription" : "Principal Product Mgr. - Tech, Brand Measurement, Measurement, Ad Tech, and Data Science (MADS) at Amazon.com Services LLC. Skills: Brand measurement, Ad tech, Data science, Product management. Define strategy, roadmap, delivery. Build data-driven reporting products", "postedDate" : "2026-06-13T09:17:38.070", "createdAt" : "2026-06-13T09:17:38.070", "lastUpdated" : "2026-06-15T04:08:46.292", "ingestTimestamp" : "2026-06-13T09:17:38.070", "mongoId" : "6a25146274d8ee00a00bb700", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440511/apply", "salaryAnnualMin" : 197000, "salaryAnnualMax" : 267800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Problem solving", "Analytical skills", "Brand measurement", "Ad tech", "Data science", "Product management", "Product strategy", "Roadmap development", "Data-driven products", "Scalable architectures", "Event-driven architectures", "Roadmap strategy", "Roadmap definition" ], "skillCount" : 13, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cda0c74d8ee00a0a4a9b6", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:32:15.710", "fingerprint" : "d7e3dceb65465e1fd815ee1f33e8c98fe96ac047e740bb412dbdb11509658999", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003681", "externalId" : "8003681", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client service", "Data analysis" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Work with sales team; Partner with sales; Partner with account management; Partner with product teams", "domainKnowledge" : "Measurement landscape; First party measurement; Third party measurement; AI-first environment", "domainList" : [ "measurement-landscape", "first-party-measurement", "third-party-measurement", "ai-first-environment" ], "domainSpecificKnowledge" : [ "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "Participate in events, Attend trainings, Attend off-sites, Volunteer days, Team building exercises, Build in-person relationships", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-14T04:20:08.444", "createdAt" : "2026-06-14T04:20:08.444", "lastUpdated" : "2026-06-15T08:32:15.710", "ingestTimestamp" : "2026-06-14T04:20:08.444", "mongoId" : "6a2cda0c74d8ee00a0a4a9b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis", "Measurement", "Data analysis", "Client advising", "Measurement strategy", "Client service", "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f17f292fd229c0551b2", "title" : "Principal Account Manager, Measurement and ROI Strategy", "company" : "Bazaarvoice", "industry" : "Client Services - General", "salary" : { "min" : 130000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Remote, United States", "locations" : [ "Remote, United States" ], "timestamp" : "2026-06-16T12:21:05.558", "fingerprint" : "7dda342e3bf887578d99bf203084c981cec7c0024d04ee8d55be88c953034425", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/bazaarvoice/500e1911-04c2-489e-9ea7-61eab407a028/apply", "externalId" : "500e1911-04c2-489e-9ea7-61eab407a028", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Principal Account Manager, Measurement & ROI Strategy is a high-impact, client-facing role situated within the Account Management organization. Acting as a critical bridge between data infrastructure and commercial strategy. This role is designed for a strategic translator who can stand in front of executive-level clients to command a room, while possessing the deep technical acumen to independently extract data and architect measurement frameworks. Positioned at the intersection of product capability and commercial execution, the individual will collaborate with Product Engineering to define data requirements, partner with Product Marketing to benchmark methodologies, and ultimately deliver compelling, data-driven ROI narratives that protect and expand bookings and ## What You'll Do Co-create comprehensive business plans with strategic partners, aligning data-driven insights with their revenue, growth, and operational goals. Serve as the trusted, executive-level point of contact for top enterprise accounts. Elevate everyday conversations from tactical campaign delivery to high-impact business outcomes. Co-lead Executive Business Reviews and strategic planning sessions, developing compelling narratives that connect program outcomes to the partner's broader goals. Independently pull, aggregate, and validate disparate datasets from internal databases. Measure the direct financial and brand ROI of sampling and creator campaigns. Act as the internal architect for how we measure success. Master our proprietary ROI frameworks while proactively partnering with product marketing on competitor methodologies, A/B testing models, and market trends to ensure our tracking infrastructure remains best-in-class. Design and monitor rigorous client success metrics, usage trackers, and data scorecards to track performance against shared partnership goals. Partner closely with Sales and Account Management leadership on account planning, whitespace identification, and deal shaping to drive renewal/rebuy strategy. Serve as the primary insights stakeholder to Product and Engineering teams. Translate complex partner reporting needs into precise technical requirements and specifications to automate and scale our data pipelines and internal ROI dashboards. Package complex data into clear, concise, and visually compelling presentations/dashboards to be shared directly with clients Participate in strategic client meetings to present data findings, answer technical methodologies questions, and demonstrate product value. ## What You'll Bring Deep understanding of market research, consumer trends, and brand marketing Deep analytical expertise with experience in gathering and interpreting data from numerous resources. Very proficient with Excel, Powerpoint, Google Analytics, Postico, and Amazon Web Services Superior organizational skills and attention to detail Strong and effective communication, both written and verbal, with excellent presentation skills. Experience with Database reporting and data visualization tools. Excellent teamwork and interpersonal skills with a proven record of building strong relationships with key stakeholders. Demonstrated thought-leadership with proven ability to influence strategies and achieve goals. Desire to work in a fast-paced, ever-changing and sometimes ambiguous environment. Must be driven, resourceful, curious, and a fast learner. Ability to translate raw datasets into clean, digestible charts and scorecards. Translating technical metrics (e.g., click-through rates, sentiment, impressions) into business value/revenue outcomes for the client. ## Additional Information #LI-Hybrid #LI-JM1 Why join Bazaarvoice? Customer is key We see our own success through our customers’ outcomes. We approach every situation with a customer first mindset. Transparency & Integrity Builds Trust We believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. Passionate Pursuit of Performance Our energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission. Innovation over Imitation We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage. Stronger Together We bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community. Want to see our culture in action? Explore our global Linkedin Life Page, Life at Bazaarvoice to see the bigger picture, or visit our North America Life Page to meet our regional teams and see what life is like in our local offices. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers. As part of our final selection process, the successful candidate will be required to undergo a routine pre-employment background check. This process is strictly conditional upon your prior written consent.", "summaryDescription" : "Principal Account Manager, Measurement and ROI Strategy at Bazaarvoice", "postedDate" : "2026-06-12T16:02:15.728", "createdAt" : "2026-06-12T16:02:15.728", "lastUpdated" : "2026-06-16T12:21:05.558", "ingestTimestamp" : "2026-06-16T03:26:46.331", "mongoId" : "6a307f17f292fd229c0551b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f18f292fd229cfe50cd", "title" : "Optical Technician", "company" : "Clarkson Eyecare", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Entry-level Optical Technicians in Wentzville, United States, adjusted for industry and company size." }, "location" : "Wentzville, Missouri, United States", "locations" : [ "Wentzville", "Missouri", "United States" ], "timestamp" : "2026-06-16T09:05:12.627", "fingerprint" : "42fe02e81f2e5d1b577e33c5ddbb6e731bc19da1b72f24cf9168479de31029a7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.clarksoneyecare.com/careers/?gh_jid=8593193002", "externalId" : "8593193002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wentzville", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8244136,-90.8683119" } ], "locationText" : "Wentzville, Missouri, United States", "minimumEducation" : "High School", "coreResponsibilities" : "Assist patients with selection of eyewear, Perform lensometry and other diagnostic tests, Adjust and repair eyewear, Manage inventory and order supplies, Maintain patient records, Schedule appointments, Process insurance claims, Provide customer service", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SUMMARY An Optical Technician will achieve a world class Total Patient Experience that maximizes retail sales while also supporting the patients’ medical needs. This team member is trained to dispense and fit glasses and contacts, working from the prescriptions written by Optometrists and Ophthalmologists. They connect the patient's needs to the goods and services offered. LOCATION Work is primarily performed in a standard office or clinical setting. However, travel to other locations may be required to carry out essential job duties and responsibilities ESSENTIAL DUTIES AND RESPONSIBILITIES Embrace and execute our Total Patient Experience to build relationships with all patients while delivering great medical support Determine patient wants and needs and selling to exceed their expectations Assist patients in selecting frames according to style and color, coordinating frames with facial and eye measurements and optical prescriptions Able to operate the auto-lensometer and manual lensometer Educate and recommend specific lenses, lens coatings and frames to suit patient needs Can accurately collect measurements such as bridge, eye size, temple length, seg heights, vertex distance, pupillary distance, and pantoscopic tilt Dispense patient orders and repair and adjust patient frames Dispense all glasses and/or contact lens orders using current process QUALIFICATIONS Previous medical office experience preferred; previous ophthalmic experience strongly preferred. Minimum of 1 year in a position interacting with customers/patients or the equivalent combination of education and experience Favorable result on background check as required by state Must be able to provide proof of identity and right to work in the United States EDUCATION AND/OR EXPERIENCE High school diploma or GED required. LICENSES AND CREDENTIALS ABO and NCLE certifications preferred but not required. SYSTEMS AND TECHNOLOGY Proficient in Microsoft Excel, Word, PowerPoint, Outlook PHYSICAL REQUIREMENTS This role requires a variety of physical activities to effectively perform essential job functions. The position involves frequent walking (75%), sitting (50%), and standing (50%), with regular bending, stooping, and reaching (25–50%). Employees must be able to lift, carry, push, and pull items up to 25 lbs. Strong fine motor skills and full use of hands are essential, as the role demands constant grasping, writing/typing, and use of technology. Visual and auditory acuity—including color, depth, peripheral vision, and the ability to adjust focus—is required 100% of the time. Occasional driving or climbing may also be necessary. If you need assistance with this application, please contact (636) 227-2600. Please do not contact the office directly – only resumes submitted through this website will be considered. EyeCare Partners is an equal opportunity/affirmative action employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. NOTE: Job descriptions are intended to be accurate reflections of those principal job elements essential for making fair pay decisions about jobs. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.", "summaryDescription" : "Optical Technician at Clarkson Eyecare. Assist patients with selection of eyewear. Perform lensometry and other diagnostic tests", "postedDate" : "2026-06-16T01:16:05.192", "createdAt" : "2026-06-16T01:16:05.192", "lastUpdated" : "2026-06-16T09:05:12.627", "ingestTimestamp" : "2026-06-16T01:16:05.192", "mongoId" : "6a306f18f292fd229cfe50cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176f474d8ee00a0c1b5ed", "title" : "Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning", "company" : "Amazon EU SarL", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Business Intelligence Engineer in London, UK, adjusted for Amazon's size and the e-commerce industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T02:08:00.826", "fingerprint" : "ba253df80468412a006b123051e11abfdb6cb817a7a1a5c1d3d01d22d4dc47f3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436661/apply", "externalId" : "134b5d80-5ffd-44f9-8596-19b85def41e8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, AWS, Tableau, Quicksight", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data analytics", "Stakeholder management", "Project management", "Supply chain" ], "hardSkillsList" : [ "Data quality checks", "Data analysis", "Statistical analysis", "Machine learning", "Data mining" ], "softSkillsList" : [ "Innovation" ], "hardSkills" : [ { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" } ], "majorSkills" : "Business intelligence, Data engineering, Data analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Data analytics" ], "coreResponsibilities" : "Develop and lead design of advanced metrics, Develop and lead execution of advanced metrics, Develop and lead design of reporting capabilities, Develop and lead execution of reporting capabilities, Develop and lead design of bridging capabilities, Develop and lead execution of bridging capabilities, Turn data into actionable business insights, Prioritize fixing system defects, Perform detailed data quality checks, Identify data discrepancies, Fix data discrepancies, Identify data inaccuracies, Fix data inaccuracies, Perform deep-dives, Data analysis using SQL, Uncover actionable insights, Provide recommendation on new metrics, Provide recommendation on business decision, Use and share insights with partner teams, Influence build a 3 year roadmap, Lead regular business review, Monitor progress of projects, Consolidate progress into status updates", "teamCollaboration" : "Partner teams; Cross-functional teams; Operations teams; Logistics teams; Software developers; Finance teams; Retail teams", "projectManagementSkills" : [ "Roadmap planning", "Project management" ], "domainKnowledge" : "Delivery speed; Long-term planning; Supply chain; Logistics infrastructure; Fulfillment acceleration; Customer experience", "domainList" : [ "delivery-speed", "long-term-planning", "supply-chain", "logistics-infrastructure", "fulfillment-acceleration", "customer-experience" ], "domainSpecificKnowledge" : [ "Delivery speed", "Long-term planning", "Supply chain", "Logistics infrastructure", "Fulfillment acceleration", "Customer experience" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Data-driven status updates", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving; Data analysis; Root cause analysis", "outcomesObjectives" : "Accelerate speed of deliveries; Make deliveries faster; Deliver next-day", "qualificationsBasic" : "Experience programming large data sets, Experience with design of experiments, Experience with statistical analysis, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills, Experience with data science, Experience with machine learning, Experience with data mining, Experience working with business stakeholders, Experience with SQL, Experience with data visualization", "qualificationsPreferred" : "Managing results to senior leadership, Analyzing results to senior leadership, Communicating results to senior leadership, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you! The team: Same Day Speed Data - Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. - We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. - Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. - We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. - Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day. Key job responsibilities This role will particularly suit someone with deep data engineering skills and an ability to navigate complex systems The role includes 80% analytical activities and 20% of stakeholder/project management. Innovation & Stakeholder/Project management: - Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to accelerate speed of deliveries - Lead regular business review with partner teams to monitor the progress of projects in the roadmap. - Consolidate progress into crisp and concise data-driven status updates. Data Analytics: - Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America - Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects. - Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies. - Perform deep-dives and data analysis using SQL (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision A day in the life An Amazon Business Intelligence Engineer starts the day by analyzing delivery speed data, collaborating with cross-functional teams to optimize processes. They create insightful reports and dashboards to aid decision-making for stakeholders like Operations and Logistics. By leveraging data science techniques, they forecast long-term trends to enhance delivery efficiency and customer satisfaction. They work closely with software developers, applying BI tools to improve system performance. Solving complex problems related to delivery speed and planning, they contribute to Amazon's goal of providing exceptional customer experiences. About the team GTS SLTP acts as the internal consulting team to help teams across Amazon achieves the right balance between customer experience and investments. Team members have a very large scope of impact and regularly interact with leadership two levels above them. Basic Qualifications: - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space Preferred Qualifications: - Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning at Amazon EU SarL. Skills: Business intelligence, Data engineering, Data analytics. Develop and lead design of advanced metrics. Develop and lead execution of advanced metrics", "postedDate" : "2026-06-13T16:39:28.969", "createdAt" : "2026-06-13T16:39:28.969", "lastUpdated" : "2026-06-15T02:08:00.826", "ingestTimestamp" : "2026-06-13T16:39:28.969", "mongoId" : "6a2176f474d8ee00a0c1b5ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436661/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data quality checks", "Data analysis", "Statistical analysis", "Machine learning", "Data mining", "Innovation", "Business intelligence", "Data engineering", "Data analytics", "Stakeholder management", "Project management", "Supply chain", "Roadmap planning", "Delivery speed", "Long-term planning", "Logistics infrastructure", "Fulfillment acceleration", "Customer experience", "Tableau", "Quicksight" ], "skillCount" : 20, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a191e7758b93c861e39f84c", "title" : "ESP Function Development and Test Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level ESP Function Development and Test Engineer in Beijing, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "certifications" : [ "Internal driving qualification" ], "timestamp" : "2026-06-15T05:14:59.551", "fingerprint" : "eef653ac3f2e6a15579a5c0b0d2ae4e7989f5eef82ab6ed2ac448d1e7fffad3f", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882065", "externalId" : "882065", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Master's", "technicalSkills" : "Embedded systems, Automotive engineering, Firmware, Software, Hardware, Vehicle network communication", "professionalSkills" : [ "Organizational skills", "Intercultural competence", "Planning skills" ], "hardSkillsList" : [ "System design", "Integration testing", "Software testing", "Hardware testing", "Component development", "Industrialization", "Test plans", "Test cases", "Test scripts", "Test results analysis", "Diagnostics implementation", "Event logging", "Diagnostic trouble codes", "Data retrieval", "Data analysis", "Firmware performance optimization", "Firmware integration", "Functionality validation", "Performance validation", "Stability validation", "Requirements adherence", "Component testing", "System testing", "Vehicle level testing", "Steering system architecture", "Design specification", "Testing result documentation", "Module function improvement", "Issue resolution" ], "softSkillsList" : [ "High commitment", "Agility", "Motivation", "Teamwork spirit", "Willing to share", "Self-motivate" ], "hardSkills" : [ { "name" : "System design", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Software testing", "level" : "intermediate" }, { "name" : "Hardware testing", "level" : "intermediate" }, { "name" : "Component development", "level" : "intermediate" }, { "name" : "Industrialization", "level" : "intermediate" }, { "name" : "Test plans", "level" : "intermediate" }, { "name" : "Test cases", "level" : "intermediate" }, { "name" : "Test scripts", "level" : "intermediate" }, { "name" : "Test results analysis", "level" : "intermediate" }, { "name" : "Diagnostics implementation", "level" : "intermediate" }, { "name" : "Event logging", "level" : "intermediate" }, { "name" : "Diagnostic trouble codes", "level" : "intermediate" }, { "name" : "Data retrieval", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Firmware performance optimization", "level" : "intermediate" }, { "name" : "Firmware integration", "level" : "intermediate" }, { "name" : "Functionality validation", "level" : "intermediate" }, { "name" : "Performance validation", "level" : "intermediate" }, { "name" : "Stability validation", "level" : "intermediate" }, { "name" : "Requirements adherence", "level" : "intermediate" }, { "name" : "Component testing", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Vehicle level testing", "level" : "intermediate" }, { "name" : "Steering system architecture", "level" : "intermediate" }, { "name" : "Design specification", "level" : "intermediate" }, { "name" : "Testing result documentation", "level" : "intermediate" }, { "name" : "Module function improvement", "level" : "intermediate" }, { "name" : "Issue resolution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High commitment" }, { "name" : "Agility" }, { "name" : "Motivation" }, { "name" : "Teamwork spirit" }, { "name" : "Willing to share" }, { "name" : "Self-motivate" } ], "majorSkills" : "ESP function development, ESP testing, Chassis systems SW/HW", "majorSkillsList" : [ "ESP function development", "ESP testing", "Chassis systems SW/HW" ], "coreResponsibilities" : "Lead ESP software development, Lead ESP hardware development, Gather requirements, Design systems, Prototype systems, Integrate systems, Test systems, Release systems, Work with suppliers, Develop components, Industrialize components, Define test plans, Execute test plans, Solve technical problems, Provide solutions, Develop software modules, Maintain software modules, Implement diagnostics, Implement event logging, Define diagnostic trouble codes, Log system events, Provide data retrieval mechanisms, Provide data analysis mechanisms, Collaborate with hardware team, Ensure component selection, Provide input on hardware design, Optimize firmware performance, Optimize firmware integration, Collaborate with validation team, Develop test plans, Execute test plans, Validate functionality, Validate performance, Validate stability, Validate requirements adherence, Define test cases, Develop test scripts, Analyze test results, Participate in testing phases, Maintain documentation, Ensure continuous improvements, Ensure high performance, Ensure robust issue resolution", "teamCollaboration" : "Cross-function team; Various hierarchy levels", "projectManagementSkills" : [ "Planning", "Organizational skills" ], "domainKnowledge" : "Automotive brake control systems; Automotive products; Automotive technologies; Automotive AUTOSAR architecture; ESP systems; Chassis systems", "domainList" : [ "automotive-brake-control-systems", "automotive-products", "automotive-technologies", "automotive-autosar-architecture", "esp-systems", "chassis-systems" ], "domainSpecificKnowledge" : [ "Automotive brake control systems", "Automotive products", "Automotive technologies", "Automotive AUTOSAR architecture", "ESP systems", "Chassis systems" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Documentation; Design specification; Test plan documentation; Testing result documentation", "problemSolvingSkills" : "Solve technical problems; Provide effective solutions; Issue resolution", "specialRequirements" : "Adequate driving skills", "qualificationsBasic" : "Master degree or above, Profound Chassis Systems SW/HW knowledge, Proficient in automotive brake control systems, Chinese native speaker, Fluent English skills", "qualificationsPreferred" : "German language skills a plus, MB or other OEM's internal driving qualification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Being an ESP Function Development and Testing Engineer at Mercedes-Benz, you will have the chance to work on a wide span of responsibilities: Take lead of ESP software and hardware development, being involved for the full development cycle of the system: from requirements gathering and system design to prototyping, integration testing and release. Working closely with suppliers for component development and industrialization. Participate in the defining and execution of ESP system test plans, including software and hardware testing. Solve technical problems in the ESP system development process and provide effective solutions. Work with feature owners and domain leads to develop and maintain software for specific module functionalities. Diagnostics and Event Logging: Implement comprehensive diagnostics and event logging capabilities within the firmware to facilitate debugging, troubleshooting, and system analysis. This includes defining diagnostic trouble codes (DTCs), logging system events, and providing mechanisms for data retrieval and analysis. Hardware Collaboration: Collaborate with the hardware team to ensure component selection aligns with platform requirements and firmware capabilities. Provide input on hardware design decisions to optimize for firmware performance and integration. Testing and Validation: Collaborate closely with the validation team to develop and execute comprehensive test plans to validate functionality, performance, stability, and adherence to requirements. This includes defining test cases, developing test scripts, and analyzing test results. Active participation in all testing phases, from component testing to system & vehicle level testing, is expected. Documentation: Maintain clear and concise documentation of steering system architecture, design specification, test plan and testing result. Ensure continuous improvements, high performance, and robust issue resolution for all module functions, both before and after product launch. Education: Master degree or above, major in electrical engineering, computer engineering, information engineering, embedded systems, automotive engineering or a related engineering field Experience: Profound Chassis Systems SW/HW (EPS, ESP etc.) design, testing and release knowledge at OEMs or Tier1 suppliers Specific Knowledge: Proficient in automotive brake control systems, processes, standards, and toolchains; have an in-depth understanding and insights into the development trends of automotive products and technologies. Strong planning and organizational skills. Good intercultural competence and communication skills with various hierarchy levels. High commitment for automobiles and agility in diversified working packages. Strong Ownership and high Motivation to solve difficult problems with cross-function team. Strong technical know-how on cross domain vehicle network communication protocols. Good understanding on Automotive AUTOSAR architecture. Strong teamwork spirit, willing to share, able to self-motivate, and influences the team with a positive, hardworking, and optimistic attitude. Chinese native speaker with fluent English language skills, German is a plus. Adequate driving skills. MB or other OEM’s internal driving qualification for hi-level dynamic driving testing preferred. Mercedes-Benz Group China Ltd.", "summaryDescription" : "ESP Function Development and Test Engineer at Mercedes-Benz Group China Ltd.. Skills: ESP function development, ESP testing, Chassis systems SW/HW. Lead ESP software development. Lead ESP hardware development", "createdAt" : "2026-06-14T02:13:52.010", "lastUpdated" : "2026-06-15T05:14:59.551", "ingestTimestamp" : "2026-06-14T02:13:52.010", "mongoId" : "6a191e7758b93c861e39f84c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System design", "Integration testing", "Software testing", "Hardware testing", "Component development", "Industrialization", "Test plans", "Test cases", "Test scripts", "Test results analysis", "Diagnostics implementation", "Event logging", "Diagnostic trouble codes", "Data retrieval", "Data analysis", "Firmware performance optimization", "Firmware integration", "Functionality validation", "Performance validation", "Stability validation", "Requirements adherence", "Component testing", "System testing", "Vehicle level testing", "Steering system architecture", "Design specification", "Testing result documentation", "Module function improvement", "Issue resolution", "High commitment", "Agility", "Motivation", "Teamwork spirit", "Willing to share", "Self-motivate", "ESP function development", "ESP testing", "Chassis systems SW/HW", "Organizational skills", "Intercultural competence", "Planning skills", "Planning", "Automotive brake control systems", "Automotive products", "Automotive technologies", "Automotive AUTOSAR architecture", "ESP systems", "Chassis systems", "Internal driving qualification" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69f4e0ba4c40e2acd1d89d36", "title" : "Technical Program Manager, MADS - Measurement and Data Science", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, Advertising", "salary" : { "min" : 148000.0, "max" : 201000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:46:59.439", "fingerprint" : "cac99353d75ed155d863314453b70ea6cd7d8b97950cb53763d994bc0022c53a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408825/apply", "externalId" : "2bc3a866-7325-4a45-84b7-5b4737a0823a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Big Data, Distributed Systems, AWS", "professionalSkills" : [ "System design", "Service-oriented architecture" ], "hardSkillsList" : [ "Agile", "Incremental delivery" ], "hardSkills" : [ { "name" : "Agile", "level" : "intermediate" }, { "name" : "Incremental delivery", "level" : "intermediate" } ], "majorSkills" : "Data Science, Measurement, Analytics Platform", "majorSkillsList" : [ "Data Science", "Measurement", "Analytics Platform" ], "coreResponsibilities" : "Lead planning and delivery of programs, Work on complex software systems, Handle communication from developers to VPs, Foster data-driven culture, Facilitate collaboration and accelerate innovation, Interact with diverse stakeholders, Deliver crisp messages, Drive timely feature launches, Collaborate to determine and prioritize features, Collaborate to determine software releases, Implement mechanisms/tools for feature usage, Implement mechanisms/tools for roadmap view, Implement mechanisms/tools for future deliveries, Collaborate with partners to deep dive, Drive additional features, Drive implementation of Hackathon features, Merge Hackathon features into mainline", "teamCollaboration" : "Cross-group teams; Diverse stakeholders; Engineers, scientists, product managers; Senior leaders", "projectManagementSkills" : [ "Agile", "Incremental delivery", "Roadmap planning", "Release schedules", "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Distributed systems; Cloud; Service-oriented architecture; Measurement; Data Science; Advertising business; Campaign measurement; Algorithm development; Petabyte scale; Event-driven architectures", "domainList" : [ "distributed-systems", "cloud", "service-oriented-architecture", "measurement", "data-science", "advertising-business", "campaign-measurement", "algorithm-development", "petabyte-scale", "event-driven-architectures" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud", "Service-oriented architecture", "Measurement", "Data Science", "Advertising business", "Campaign measurement", "Algorithm development", "Petabyte scale", "Event-driven architectures" ], "communicationSkills" : "Deliver crisp messages", "innovationCreativity" : "Experiment and innovate; Hackathon features", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Grow new business; Build state-of-the-art products; Drive future investment; Improve relevance of ads; Deliver next generation analytics platform; Drive multibillion dollar business", "qualificationsBasic" : "5+ years technical product management, 3+ years software development, 5+ years technical program management, Manage programs across cross functional teams, Build processes and coordinate release schedules, Build and evaluate system-level technical design, Develop and execute product roadmaps, Deliver to meet timelines", "qualificationsPreferred" : "5+ years project management disciplines, Scope, schedule, budget, quality management, Risk and critical path management, Define KPIs/SLAs for multi-million dollar businesses, Report to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about Big Data and Distributed Systems to build customer trust and grow new business? Interested in building new state-of-the-art products at Petabyte scale? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform and improve the relevance of ads shown to customers. We’re looking for strong Technical Program Manager to deliver next generation of our analytics platform. If this sounds interesting we’d love to hear from you!  Amazon is investing heavily in building a world class advertising business and we are at the forefront of that explosive growth. We deliver campaign reporting for all of Amazon advertising and produce analytics and reporting data that are used by advertisers to grow their business every day. We process billions of ad impressions, clicks, and conversion events daily and we invent and evolve our event-driven architectures with AWS to manage the extreme scale of our data growth. As campaign reporting product owners, we are also breaking fresh ground to create world-class analytics products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and agile bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. The Measurement and Data Science team delivers campaign measurement and reporting across Amazon Advertising business and serves as the scientific center of excellence for algorithm development in campaign measurement. Our measurement and engineering platforms and products deliver campaign performance reporting to advertisers. By showing ads on and off our site, we effectively measure the Internet with billions of incoming, highly decorated events to process and summarize every day in near real time. Our infrastructure is extreme scale, requiring invention ahead of common technologies and exceeding PB scale with millions of transactions per second. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action. As a Technical Program Manager on the MADS team, you will you lead planning and delivering of programs with multi-year roadmap, using Agile and incremental delivery methods. You will work on complex software systems in a customer centric environment, cross-group teams spread across multiple geographies and handle communication from technical developers to VP's. You will bring strong understanding of system design of distributed systems, have knowledge of cloud and service-oriented architecture, thrive in a fast-paced environment, be comfortable with ambiguity, and lead cross-group teams across Amazon, on an unbeaten path. You will foster a data-driven culture that facilitates collaboration and accelerates innovation that drives a multibillion dollar business, and interact with a diverse set of stakeholders across our advertising business, including engineers, scientists, product managers, and senior leaders. You will deliver crisp messages, drive timely feature launches, and work to deliver to meet timelines with optimal solutions to complex problems. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers the foundational components that enable advertisers to analyze their advertising performance and make decisions that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s advertising businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Key job responsibilities Collaborate with team members to determine and prioritize features and software releases. Implement mechanisms/tools to provide an accurate view of current feature usage, roadmap and help determine future deliveries. Collaborate with partners to regularly deep dive on products and drive additional features where necessary. Drive the implementation and management of Hackathon features so they can be merged into mainline. Basic Qualifications: - 5+ years of technical product or program management experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience building and evaluating system-level technical design - Experience developing and executing/delivering product and technical roadmaps Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually", "summaryDescription" : "Technical Program Manager, MADS - Measurement and Data Science at Amazon.com Services LLC. Skills: Data Science, Measurement, Analytics Platform. Lead planning and delivery of programs. Work on complex software systems", "postedDate" : "2026-06-13T03:46:19.658", "createdAt" : "2026-06-13T03:46:19.658", "lastUpdated" : "2026-06-15T01:46:59.439", "ingestTimestamp" : "2026-06-13T03:46:19.658", "mongoId" : "69f4e0ba4c40e2acd1d89d36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408825/apply", "salaryAnnualMin" : 148000, "salaryAnnualMax" : 201000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Agile", "Incremental delivery", "Data Science", "Measurement", "Analytics Platform", "System design", "Service-oriented architecture", "Roadmap planning", "Release schedules", "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management", "Distributed systems", "Cloud", "Advertising business", "Campaign measurement", "Algorithm development", "Petabyte scale", "Event-driven architectures" ], "skillCount" : 22, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a3058bdf292fd229cf43fd2", "title" : "Roof Measurement Specialist", "company" : "Sourcefit", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Roof Measurement Specialist in Quezon City, Philippines, adjusted for the real estate industry." }, "location" : "Eastwood Quezon City, PH", "locations" : [ "Eastwood Quezon City", "PH" ], "timestamp" : "2026-06-16T08:48:19.624", "fingerprint" : "d89834b8c3a002cdd23fc46d653aa0528e412cbf2982ad48e41d5b864a62f0a1", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sourcefit.breezy.hr/p/780acbbaae58-roof-measurement-specialist", "externalId" : "780acbbaae58", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quezon City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.6510546,121.0486254" } ], "locationText" : "Quezon City, Philippines", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Measure roofs accurately, Record measurements precisely, Prepare measurement reports, Adhere to safety protocols, Maintain measurement equipment", "domainKnowledge" : "Roof measurement", "domainList" : [ "roof-measurement" ], "domainSpecificKnowledge" : [ "Roof measurement" ], "documentationSkills" : "Measurement reports", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Roof Measurement Specialist at Sourcefit. Measure roofs accurately. Record measurements precisely", "createdAt" : "2026-06-15T22:11:37.739", "lastUpdated" : "2026-06-16T08:48:19.624", "ingestTimestamp" : "2026-06-15T22:11:37.739", "mongoId" : "6a3058bdf292fd229cf43fd2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roof measurement" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2cda0c74d8ee00a0a4a9b5", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T11:49:44.931", "fingerprint" : "add24fec937a4f8defdf567855dd6ba967680b17d2243b1d76feb19257d8095e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003527", "externalId" : "8003527", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client advising", "Data analysis", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift" ], "hardSkills" : [ { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic", "level" : "intermediate" }, { "name" : "Conversion lift", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Internal sales teams; Account management teams; Sales teams; Product teams", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging trends" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations; Client presentations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. 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Hardware teams; Product teams; Electrical teams; Mechanical teams; Firmware teams; Manufacturing teams; Supply Chain teams; Software teams; Cross-functional leaders", "projectManagementSkills" : [ "Roadmap planning", "Priorities", "Execution" ], "domainKnowledge" : "Human performance optimization; Product development; New product introduction; Continuous improvement; System complexity", "domainList" : [ "human-performance-optimization", "product-development", "new-product-introduction", "continuous-improvement", "system-complexity" ], "domainSpecificKnowledge" : [ "Human performance optimization", "Product development", "New product introduction", "Continuous improvement", "System complexity" ], "toolProficiency" : [ "Git", "Oscilloscopes", "Multimeters", "Spectrum analyzers" ], "communicationSkills" : "Technical efforts", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem solving; Analytical skills; System-level thinking", "specialRequirements" : "Travel up to 15%", "outcomesObjectives" : "Accelerate learning; De-risk designs; Scale team effectiveness; Increase velocity; Support multiple programs; Support increasing system complexity", "qualificationsBasic" : "BS or greater in Electrical Engineering, 5+ years experience, Demonstrated experience mentoring, Electrical engineering fundamentals, Experience with scripting, Experience with version control, Extensive hands-on lab experience, Problem solving and analytical skills, System-level thinking, Excellent communication skills, Ability to lead cross-functional technical efforts, Commitment to embracing AI tools", "qualificationsPreferred" : "Python or similar scripting, Git version control, Use of oscilloscopes, Use of multimeters, Use of spectrum analyzers", "workSiteFlexibility" : "Onsite", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As an Electrical Test Tech Lead in the WHOOP Hardware Electrical Engineering team, you will lead the development of lab-based test infrastructure and validation approaches for highly integrated human performance optimization products. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Supply Chain, and Software teams to enable rapid iteration during advanced development, new product introduction (NPI), and continuous improvement. You will manage a team and own how systems are measured, debugged, and validated in the lab, defining strategy and building flexible and reliable test setups that accelerate learning and de-risk designs. You will mentor engineers, establish best practices, and drive strong engineering rigor in test and validation. RESPONSIBILITIES: - - Lead a small team of electrical test engineers and technicians, setting direction, priorities, and expectations for execution - Set the technical vision and roadmap for electrical test infrastructure, aligning team priorities with broader hardware and product goals - Own and architect system-level validation in partnership with systems engineering across development phases, ensuring comprehensive coverage and efficient execution - Define and enforce best practices for test architecture, automation, data quality, and documentation to scale team effectiveness - Architect and guide the development of Python-based test infrastructure, automation frameworks, and lab test systems - Guide development of scalable lab test systems and fixtures (including test PCBAs, breakouts, and instrumentation interfaces) to increase velocity across programs - Partner with cross-functional leaders to influence product architecture for testability, observability, and long-term robustness - Ensure lab infrastructure, tools, and processes scale to support multiple concurrent programs and increasing system complexity - Travel up to 15% domestically and internationally to support builds and partners QUALIFICATIONS: - - BS or greater in Electrical Engineering, Computer Engineering, or related field - 5+ years experience in system validation, test engineering, electrical engineering, or similar roles - Demonstrated experience mentoring and driving team execution - Strong electrical engineering fundamentals - Experience with scripting (Python or similar) and version control (Git) - Extensive hands-on lab experience including use of oscilloscopes, multimeters, spectrum analyzers, and similar equipment - Strong problem solving and analytical skills with system-level thinking - Excellent communication skills and ability to lead cross-functional technical efforts - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $185,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Electrical Test Engineering Tech Lead at WHOOP. Skills: Electrical Test Engineering, System Validation, Test Infrastructure. Lead electrical test engineers. 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0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69f4a7e74c40e2acd1c64752", "title" : "Applied Scientist, Speed + AI", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:31:16.038", "fingerprint" : "bfb65876da2e5fdc0b29d631dd5dce92df0ee43ddf506061d8e6ed45e34fa7a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408753/apply", "externalId" : "24e7cdc5-6e9f-420c-8637-9e5daefc35f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : 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"intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and build data pipelines, Perform data analysis and generate insights, Create and maintain dashboards and reports, Collaborate with stakeholders to understand data needs, Stay up-to-date with the latest advancements in data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Recommendation systems; Supply chain optimization", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "recommendation-systems", "supply-chain-optimization" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Recommendation systems", "Supply chain optimization" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document pipelines", "continuousLearning" : "Attend conferences; Pursue online courses", "innovationCreativity" : "Develop novel solutions; Explore new technologies", "problemSolvingSkills" : "Root cause analysis; Troubleshoot data issues; Analytical thinking", "outcomesObjectives" : "Improve product recommendations; Optimize marketing campaigns; Enhance customer experience", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing, Experience with machine learning frameworks, Experience with cloud platforms (AWS, GCP, Azure), Experience with data visualization tools", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Why this job is awesome? - This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site. - MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers. - We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process. - You will have a chance to develop the state-of-art machine learning, including deep learning and reinforcement learning models, to build targeting, recommendation, and optimization services to impact millions of Amazon customers. - Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazon-owned site? - Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems? - Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? - Do you like to innovate and simplify? If yes, then you may be a great fit to join the Speed + AI team. Key job responsibilities · Research and implement machine learning and GenAI techniques to create scalable and effective models in Delivery Experience (DEX) systems · Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites. · Design and develop highly innovative machine learning and deep learning models for big data. · Build state-of-art ranking and recommendations models and apply to Amazon search engine. · Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications: - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Applied Scientist, Speed + AI at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Develop and implement machine learning models. Design and build data pipelines", "postedDate" : "2026-06-14T20:12:53.025", "createdAt" : "2026-06-14T20:12:53.025", "lastUpdated" : "2026-06-16T04:31:16.038", "ingestTimestamp" : "2026-06-14T20:12:53.025", "mongoId" : "69f4a7e74c40e2acd1c64752", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408753/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Algorithm development", "Statistical analysis", "Data manipulation", "Data visualization", "Data Science", "Machine Learning", "Data Engineering", "Quantitative analysis", "Business intelligence", "Analytics engineering", "E-commerce analytics", "Customer behavior analysis", "Recommendation systems", "Supply chain optimization", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a530d74d8ee00a05fca5a", "title" : "Optical Test Engineer II", "company" : "Muon Space", "industry" : "Space Systems", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Optical Test Engineer II in Mountain View, United States, adjusted for mid-seniority and technology industry." }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-14T20:47:19.496", "fingerprint" : "878be9a11dcd02677a5426cbb798403c3f3a8431bc381891f8b201d453168682", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/muonspace/jobs/5160560007", "externalId" : "5160560007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, C++, CAD, SolidWorks", "professionalSkills" : [ "Optical metrology", "Environmental testing", "Instrument characterization", "System integration", "Data analysis", "Test strategy", "Test procedures", "Test reports", "Root cause analysis" ], "hardSkillsList" : [ "Optical testing", "Optomechanical testing", "Mechanism testing", "Vibration testing", "TVAC testing", "Thermal stress testing", "Ground support equipment", "Instrument calibration", "System check-outs", "Data processing", "Test execution" ], "softSkillsList" : [ "Communication", "Presentation", "Organization" ], "hardSkills" : [ { "name" : "Optical testing", "level" : "intermediate" }, { "name" : "Optomechanical testing", "level" : "intermediate" }, { "name" : "Mechanism testing", "level" : "intermediate" }, { "name" : "Vibration testing", "level" : "intermediate" }, { "name" : "TVAC testing", "level" : "intermediate" }, { "name" : "Thermal stress testing", "level" : "intermediate" }, { "name" : "Ground support equipment", "level" : "intermediate" }, { "name" : "Instrument calibration", "level" : "intermediate" }, { "name" : "System check-outs", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication" }, { "name" : "Presentation" }, { "name" : "Organization" } ], "majorSkills" : "Optical testing, Environmental testing, Instrument characterization, Data analysis", "majorSkillsList" : [ "Optical testing", "Environmental testing", "Instrument characterization", "Data analysis" ], "coreResponsibilities" : "Drive optical component test efforts, Drive optomechanical component test efforts, Drive moving mechanism component test efforts, Drive optical subsystem test efforts, Drive optomechanical subsystem test efforts, Drive moving mechanism subsystem test efforts, Define test strategy, Define test standards, Create test procedures, Execute tests, Post-process data, Analyze data, Generate test reports, Conduct functional testing, Conduct performance testing, Conduct environmental testing, Conduct vibration testing, Conduct thermal-vacuum testing, Conduct thermal stress testing, Develop ground support equipment, Operate ground support equipment, Develop testbeds, Operate testbeds, Facilitate instrument-level characterization, Facilitate instrument calibration, Facilitate spacecraft integration, Facilitate full-system check-outs, Champion continuous improvement of testing methodologies, Champion continuous improvement of testing tools, Champion continuous improvement of testing best practices, Enhance overall efficiency, Enhance reliability in instrument development, Collaborate with subsystem engineers, Collaborate with subsystem analysts, Collaborate with instrument systems engineers, Collaborate with spacecraft systems engineers, Collaborate with AI&T teams, Collaborate with production teams, Collaborate with program managers, Communicate with subsystem engineers, Communicate with subsystem analysts, Communicate with instrument systems engineers, Communicate with spacecraft systems engineers, Communicate with AI&T teams, Communicate with production teams, Communicate with program managers", "teamCollaboration" : "Subsystem engineers; Subsystem analysts; Systems engineers; AI&T teams; Production teams; Program managers", "domainKnowledge" : "Infrared remote sensing; Electro-optical systems; Spacecraft systems; LEO satellite constellations", "domainList" : [ "infrared-remote-sensing", "electro-optical-systems", "spacecraft-systems", "leo-satellite-constellations" ], "domainSpecificKnowledge" : [ "Infrared remote sensing", "Electro-optical systems", "Spacecraft systems", "LEO satellite constellations" ], "toolProficiency" : [ "SolidWorks" ], "communicationSkills" : "Communication; Presentation; Organization", "documentationSkills" : "Test reports", "problemSolvingSkills" : "Root cause analysis; Data analysis", "specialRequirements" : "Access to export controlled information", "qualificationsBasic" : "3+ years of experience, Demonstrated experience with imaging systems, Demonstrated experience with infrared remote sensing instruments, Basic software skills in Python or C++, Experience with precision optical and mechanical metrology equipment, Experience with root cause analysis, Experience performing rigorous data analysis, Experience with post-processing, Experience with test report generation", "qualificationsPreferred" : "Proficiency in CAD, SolidWorks preferred, Experience assembling moving mechanism assemblies, Experience characterizing moving mechanism assemblies, Exposure to design of optical components, Exposure to design of optical systems, Exposure to analysis of optical components, Exposure to analysis of optical systems, Experience working in cleanroom environments, Experience designing test campaigns, Experience developing ground support equipment, Experience integrating complex electro-optical systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the role Muon seeks an Optical Engineer II to join our team in Mountain View, CA developing infrared remote sensing instruments. The ideal candidate is a self-motivated engineer with a versatile skill set, comfortable diving into everything from precision optical metrology to rigorous environmental testing. In this role, you will drive the hands-on testing, characterization, and environmental qualification of critical optical, optomechanical, and moving mechanism subsystems. Previous experience designing test campaigns, developing ground support equipment, and integrating complex electro-optical systems in a fast-paced, small-team environment is preferred. This position is hybrid and requires working on-site in our Mountain View, CA office three days per week. Responsibilities Drive optical, optomechanical, and moving mechanism component and subsystem test efforts including definition of test strategy and standards, creation of test procedures, test execution, post-processing/data analysis, and generation of test reports. Conduct functional, performance, and environmental testing (including vibration, thermal-vacuum/TVAC, and thermal stress) at both the subsystem and instrument levels. Develop and operate ground support equipment (GSE) and testbeds to facilitate instrument-level characterization, calibration, spacecraft integration, and full-system check-outs. Champion the continuous improvement of testing methodologies, tools, and best practices to enhance overall efficiency and reliability in instrument development. Collaborate and communicate effectively with subsystem engineers and analysts, instrument and spacecraft systems engineers, AI&T and production teams, program managers, and other stakeholders. Qualifications B.S., M.S., or Ph. D. in an engineering field, or equivalent experience. 3+ years of experience working in a multi-disciplinary environment, with demonstrated experience with imaging systems and infrared remote sensing instruments. Basic software skills in one or more languages (e. g. Python, C++). Experience working with precision optical and mechanical metrology equipment. Experience with root cause analysis efforts and performing rigorous data analysis, post-processing, and test report generation. Excellent communication, presentation, and organization skills. Excited to work in a fast-paced environment with new challenges each week. Nice-to-have Skills Proficiency in CAD (SolidWorks preferred) for test fixture design. Experience assembling and characterizing moving mechanism assemblies. Exposure to design and analysis of optical components and systems. Experience working in cleanroom environments. Salary The salary range for this role is $159,000-$184,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements 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. The Company may, for legitimate business reasons, decline to pursue any export licensing process.", "summaryDescription" : "Optical Test Engineer II at Muon Space. Skills: Optical testing, Environmental testing, Instrument characterization, Data analysis. Drive optical component test efforts. Drive optomechanical component test efforts", "postedDate" : "2026-06-11T17:50:14.975", "createdAt" : "2026-06-11T17:50:14.975", "lastUpdated" : "2026-06-14T20:47:19.496", "ingestTimestamp" : "2026-06-11T17:50:14.975", "mongoId" : "6a2a530d74d8ee00a05fca5a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Optical testing", "Optomechanical testing", "Mechanism testing", "Vibration testing", "TVAC testing", "Thermal stress testing", "Ground support equipment", "Instrument calibration", "System check-outs", "Data processing", "Test execution", "Communication", "Presentation", "Organization", "Environmental testing", "Instrument characterization", "Data analysis", "Optical metrology", "System integration", "Test strategy", "Test procedures", "Test reports", "Root cause analysis", "Infrared remote sensing", "Electro-optical systems", "Spacecraft systems", "LEO satellite constellations", "SolidWorks" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "mission-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Space Systems" } ], "status" : 200, "message" : "high speed optical and electrical test and measurement equipment jobs", "metadata" : { "title" : "high speed optical and electrical test and measurement equipment" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 29308, "totalPages" : 587, "hasNext" : true, "hasPrevious" : false } }

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