{ "count" : 35929, "data" : [ { "id" : "6a2a5e5974d8ee00a061c0f8", "title" : "Aircraft Sprayer", "company" : "Airbus Operations Limited", "salary" : { "min" : 35000.0, "max" : 48000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Aircraft Sprayer in Broughton, United Kingdom, adjusted for mid-seniority and manufacturing industry." }, "location" : "Broughton", "locations" : [ "Broughton", "United Kingdom" ], "certifications" : [ "Certificate of Modern Apprenticeship", "NVQ Level 3" ], "timestamp" : "2026-06-12T20:23:05.373", "fingerprint" : "2b919444fe352b24364c34b67d28cfd727547c7e13e3e18011d06f76233e3613", "source" : "workday", "language" : "en", "applyUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Broughton/Aircraft-Sprayer_JR10398342", "externalId" : "JR10398342", "locationPoint" : "-20.11667,146.43333", "structuredLocations" : [ { "city" : "Broughton", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5656140,-0.5539235" } ], "locationText" : "Broughton, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Professional", "professionalSkills" : [ "Paint application techniques", "Surface preparation", "Quality control", "Hazardous materials handling" ], "hardSkillsList" : [ "Paint finishing", "Surface cleaning", "Masking", "Degreasing" ], "hardSkills" : [ { "name" : "Paint finishing", "level" : "intermediate" }, { "name" : "Surface cleaning", "level" : "intermediate" }, { "name" : "Masking", "level" : "intermediate" }, { "name" : "Degreasing", "level" : "intermediate" } ], "majorSkills" : "Aircraft painting, Paint application, Surface preparation", "majorSkillsList" : [ "Aircraft painting", "Paint application", "Surface preparation" ], "coreResponsibilities" : "Apply high-quality paint finishes, Perform surface preparation, Clean components and surfaces, Degrease components and surfaces, Mask components and surfaces, Activate surfaces, Adhere to Standard Operating Instructions, Adhere to PPE requirements, Handle hazardous materials, Operate spraying equipment safely, Maintain spraying equipment, Dispose of hazardous waste compliantly", "teamCollaboration" : "Skilled production team", "domainKnowledge" : "Aeronautical painting; Vehicle painting; Paint adhesion; Hazardous materials; COSHH regulations", "domainList" : [ "aeronautical-painting", "vehicle-painting", "paint-adhesion", "hazardous-materials", "coshh-regulations" ], "domainSpecificKnowledge" : [ "Aeronautical painting", "Vehicle painting", "Paint adhesion", "Hazardous materials", "COSHH regulations" ], "continuousLearning" : "E-learning courses; Internal mobility; International opportunities", "specialRequirements" : "BPSS checks, Export Control checks, Criminal record check, Occasional travel within UK, Night Shift", "outcomesObjectives" : "Meet stringent finish standards; Meet durability standards", "qualificationsBasic" : "Level 3 qualification in Aeronautical Painting or Vehicle Painting, Proficient in various paint application techniques, Understanding of surface preparation methods, Read and interpret technical specifications, Knowledge of Health & Safety regulations, Knowledge of COSHH", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "****Job Description:**** We are looking for an Aircraft Sprayer to join our**Night Shift,** working: Monday - Thursday 20:45 - 6:00am ****SECURITY CLEARANCE:** **You will be subject to BPSS and Export Control checks (including a criminal record check) ****TRAVEL REQUIRED:** **Occasional travel within UK ****LOCATION:** **Broughton ****TYPE:** **Permanent Full time (Including Shifts) You will be joining a highly skilled production team where quality and precision are paramount. We work on a diverse range of critical components, ensuring they meet the stringent finish and durability standards required for our aircraft. ### ****WHAT 'S IN IT FOR YOU**** * **Financial Reward:** Competitive salary, annual profit share, contributory pension, share options, free onsite parking, season ticket loan, tax-free technology scheme, shopping discounts and much more. * **Work / Shift Requirements:** 35 hour week consisting of Double Day Shift and separate Night shift pattern- flexibility required. * **Personal Development:** Personalised development plan, Airbus Leadership University and unlimited access to 10,000+ E-learning courses, internal mobility including international opportunities. * **Health & Wellbeing:****** Wellbeing benefits (including 24/7 online GP and mental health support), discounted family health / dental insurance / eye tests, cycle-to-work scheme, on-site canteen and coffee shop. * **Family and Caregiving:****** Life assurance, enhanced pay for parental leave (23 weeks at 100% pay), adoption / shared parental / caregiving leave, purpose built maternity rooms on site. * **Inclusive Environment:** Wellbeing room, Multi-faith room, Employee Representative Groups (Gender, LGBTQ+, International, Generational, Disability, Social & Cultural Diversity, Neurodiversity). ### HOW YOU WILL CONTRIBUTE TO THE TEAM * You will apply high-quality paint finishes to components and surfaces, adhering strictly to quality and production regulations. * You will perform comprehensive surface preparation, including cleaning, degreasing, masking, and surface activation to ensure optimal paint adhesion. * You will adhere strictly to all Standard Operating Instructions (SOIs) and mandatory PPE requirements, focusing on safe handling of hazardous materials (COSHH). * You will ensure the safe operation and maintenance of all spraying equipment and follow established procedures for the compliant disposal of hazardous waste. ### ****ABOUT YOU**** * Evidence of achievement of Level 3 time served qualification within Aeronautical Painting or Vehicle Painting, typically evidenced by a full Certificate of Modern Apprenticeship or an equivalent combination of NVQ Level 3 and a Level 3 Vocationally Related Academic Qualification. * You are proficient in various paint application techniques (e.g., conventional, airless, HVLP). * You have a strong understanding of surface preparation methods, including grinding and masking. * You can read and interpret technical specifications, diagrams, and quality control documentation. * You have a thorough knowledge of and commitment to upholding Health & Safety regulations pertinent to the painting trade, particularly COSHH. ### ****HOW WE CAN SUPPORT YOU**** Many of our staff work flexibly in many different ways, including part-time. Please talk to us at interview about the flexibility you need and we’ll always do our best to accommodate your request. Please let us know if you need us to make any adjustments for the selection process – you can share this with your Talent Acquisition Partner if you are invited to interview. Examples may include (but not exclusive to) accessible facilities; auxiliary aids; room layout, etc. Any information disclosed will be treated in the strictest confidence. As a Disability Confident Employer, Airbus UK will offer an interview to any applicant that considers themselves to have a disability or long-term condition under the Equality Act 2010 and meets the minimum criteria of the role (as set out in the job advert). To ‘opt in’, just select the option during your application submission and your application will be considered accordingly. **_Not a 100% match? No worries! Airbus supports your personal growth with customised development solutions._** This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus Operations Limited **Employment Type:** Permanent \\------- **Experience Level:** Professional **Job Family:** Painter By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "Aircraft Sprayer at Airbus Operations Limited. Skills: Aircraft painting, Paint application, Surface preparation. Apply high-quality paint finishes. Perform surface preparation", "postedDate" : "2026-06-10T14:26:56.886", "createdAt" : "2026-06-11T14:26:56.849", "lastUpdated" : "2026-06-12T20:23:05.373", "ingestTimestamp" : "2026-06-11T14:26:56.849", "mongoId" : "6a2a5e5974d8ee00a061c0f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Broughton/Aircraft-Sprayer_JR10398342", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Paint finishing", "Surface cleaning", "Masking", "Degreasing", "Aircraft painting", "Paint application", "Surface preparation", "Paint application techniques", "Quality control", "Hazardous materials handling", "Aeronautical painting", "Vehicle painting", "Paint adhesion", "Hazardous materials", "COSHH regulations", "Certificate of Modern Apprenticeship", "NVQ Level 3" ], "skillCount" : 17, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7dc574d8ee00a0950c58", "title" : "Mechanical Product Designer (Camera)", "company" : "Ubiquiti", "industry" : "Manufacturing", "salary" : { "min" : 1700000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Mechanical Product Designer in the Technology industry in Taiwan, adjusted for seniority and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T05:24:53.886", "fingerprint" : "f2b461c37923a4a9f9ad2e570d73e6a10dc73b7867556807cd00b60028be6a28", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4194216009", "externalId" : "4194216009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "3D CAD", "professionalSkills" : [ "Feasibility study", "Component selection", "Design details", "Assembly integration", "Performance testing", "Environment testing", "Material search", "Component search", "Thermal testing", "Structural testing", "System performance", "Reliability testing", "Design for manufacture", "Design for cost", "Failure analysis", "Root cause troubleshoot", "Tooling release", "Production ramp-up" ], "hardSkillsList" : [ "Plastic injection molding", "Sheet metal", "Extrusion", "Die casting", "CNC machining" ], "hardSkills" : [ { "name" : "Plastic injection molding", "level" : "intermediate" }, { "name" : "Sheet metal", "level" : "intermediate" }, { "name" : "Extrusion", "level" : "intermediate" }, { "name" : "Die casting", "level" : "intermediate" }, { "name" : "CNC machining", "level" : "intermediate" } ], "majorSkills" : "Mechanical design, 3D CAD modeling, DFM/DFA", "majorSkillsList" : [ "Mechanical design", "3D CAD modeling", "DFM/DFA" ], "coreResponsibilities" : "Conduct mechanical feasibility study, Perform sizing analysis, Select components, Refine design details, Integrate assembly, Perform qualification testing, Search out materials, Search out components, Create 3D CAD models, Create 2D drawings, Create BOM, Perform thermal testing, Perform structural testing, Analyze system performance, Optimize system performance, Build prototypes, Analyze reliability testing results, Improve the design, Bring to production, Develop component drawings, Develop assembly drawings, Develop specifications, Develop tolerances, Support failure analysis, Troubleshoot root cause, Iterate solutions, Validate solutions", "teamCollaboration" : "Cross-functional teams; ID; EE; Thermal; RF; Optical; Audio; UX", "domainKnowledge" : "Plastic injection molding; Sheet metal; Extrusion; Die casting; CNC machining; DFX concepts; Dust/water proofing; Drop resistance", "domainList" : [ "plastic-injection-molding", "sheet-metal", "extrusion", "die-casting", "cnc-machining", "dfx-concepts", "dust-water-proofing", "drop-resistance" ], "domainSpecificKnowledge" : [ "Plastic injection molding", "Sheet metal", "Extrusion", "Die casting", "CNC machining", "DFX concepts", "Dust/water proofing", "Drop resistance" ], "toolProficiency" : [ "SolidWorks" ], "documentationSkills" : "2D drawings; Component drawings; Assembly drawings; Specifications; Tolerances", "problemSolvingSkills" : "Failure analysis; Root cause troubleshoot", "qualificationsBasic" : "7+ years mechanical design experience, 3D CAD experience required, Experience with manufacturing processes, Experience in DFM/DFA optimization", "qualificationsPreferred" : "Mechanical design experience using SolidWorks, Outdoor product experience, Experience in optical applications, Experience in power-related applications", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Conduct a mechanical feasibility study from initial ID concepts through sizing analysis, component selection, refinement of design details, assembly and integration, and performance/environment qualification testing Search out materials and components. Create detailed 3D CAD models, 2D drawings, and BOM for the product. Perform thermal, structural testing, and analysis to predict and optimize the system performance Build prototypes, analyze results of reliability testing, improve the design, and bring to production. Develop component and assembly drawings and specifications, tolerances for production Qualifications At least 7+ years of hands-on mechanical design experience. 3D CAD experience is required. Collaborate closely with cross-functional teams, including ID, EE, Thermal, RF, Optical, Audio, and UX, to drive system layout and mechanical integration. Experience in owning a mechanical development effort as a lead engineer. Experience with manufacturing processes, including plastic injection molding, sheet metal, extrusion, die casting, and CNC machining. Experience in design for manufacture, design for cost, and other DFX concepts. Support failure analysis and root cause investigations; troubleshoot, iterate, and validate solutions efficiently. Experienced in DFM/DFA optimization with mechanical vendors, including tooling release, validation, and production ramp-up. Preferred Requirements Mechanical design experience using SolidWorks. Outdoor product experience (dust/water proof, drop resistance). Experience in optical and power-related applications.", "summaryDescription" : "Mechanical Product Designer (Camera) at Ubiquiti. Skills: Mechanical design, 3D CAD modeling, DFM/DFA. Conduct mechanical feasibility study. Perform sizing analysis", "postedDate" : "2026-06-13T22:01:57.846", "createdAt" : "2026-06-13T22:01:57.846", "lastUpdated" : "2026-06-15T05:24:53.886", "ingestTimestamp" : "2026-06-13T22:01:57.846", "mongoId" : "6a2c7dc574d8ee00a0950c58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Plastic injection molding", "Sheet metal", "Extrusion", "Die casting", "CNC machining", "Mechanical design", "3D CAD modeling", "DFM/DFA", "Feasibility study", "Component selection", "Design details", "Assembly integration", "Performance testing", "Environment testing", "Material search", "Component search", "Thermal testing", "Structural testing", "System performance", "Reliability testing", "Design for manufacture", "Design for cost", "Failure analysis", "Root cause troubleshoot", "Tooling release", "Production ramp-up", "DFX concepts", "Dust/water proofing", "Drop resistance", "SolidWorks" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c59", "title" : "Mechanical Product Designer (EoT)", "company" : "Ubiquiti", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Mechanical Product Designer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T04:52:27.207", "fingerprint" : "ba8d873963c2b6de4bedef07b10ca7af75723a9067da906073e6733272825872", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4221799009", "externalId" : "4221799009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SolidWorks", "professionalSkills" : [ "Product development", "Design for manufacturability", "Design for assembly", "Material selection", "Structural integrity" ], "hardSkillsList" : [ "3D CAD modeling", "2D drawings", "Tolerance analysis", "Functional testing", "Assembly testing", "Reliability testing", "Competitive product teardown", "Benchmarking" ], "softSkillsList" : [ "Emotional intelligence", "Interpersonal skills", "Solution-oriented" ], "hardSkills" : [ { "name" : "3D CAD modeling", "level" : "intermediate" }, { "name" : "2D drawings", "level" : "intermediate" }, { "name" : "Tolerance analysis", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Assembly testing", "level" : "intermediate" }, { "name" : "Reliability testing", "level" : "intermediate" }, { "name" : "Competitive product teardown", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Emotional intelligence" }, { "name" : "Interpersonal skills" }, { "name" : "Solution-oriented" } ], "majorSkills" : "Mechanical Design, Product Development, DFM, DFA", "majorSkillsList" : [ "Mechanical Design", "Product Development", "DFM", "DFA" ], "coreResponsibilities" : "Collaborate with Industrial Design, Translate product concepts, Lead mechanical design, Model in 3D CAD, Create 2D drawings, Perform tolerance analysis, Validate prototypes, Drive design iterations, Work with Tooling teams, Work with Manufacturing teams, Work with Hardware teams, Work with RF/Antenna teams, Work with Sourcing teams, Resolve integration issues, Optimize performance, Ensure system-level implementation, Drive product development, Define mechanical specifications, Control mechanical specifications, Define BOM, Control BOM, Define engineering documentation, Control engineering documentation, Maintain design consistency, Optimize product design, Select materials, Optimize surface finishing, Optimize structural integrity, Conduct competitive product teardown, Conduct benchmarking", "teamCollaboration" : "Cross-functional teams; Industrial Design; Tooling teams; Manufacturing teams; Hardware teams; RF/Antenna teams; Sourcing teams", "projectManagementSkills" : [ "Product development stages", "Tooling", "EVT/DVT/PVT", "Pilot run", "Mass production", "Schedule adherence", "Risk mitigation" ], "domainKnowledge" : "Sheet metal; Plastics; Castings; CNC; Waterproof systems; Compact systems; Outdoor Doorbells; Smart Electronic Locks; Keypadiometric Access Control Devices; Injection molding; Sheet metal; Die casting", "domainList" : [ "sheet-metal", "plastics", "castings", "cnc", "waterproof-systems", "compact-systems", "outdoor-doorbells", "smart-electronic-locks", "keypadiometric-access-control-devices", "injection-molding", "die-casting" ], "domainSpecificKnowledge" : [ "Sheet metal", "Plastics", "Castings", "CNC", "Waterproof systems", "Compact systems", "Outdoor Doorbells", "Smart Electronic Locks", "Keypadiometric Access Control Devices", "Injection molding", "Sheet metal", "Die casting" ], "toolProficiency" : [ "SolidWorks" ], "communicationSkills" : "English writing; English listening; English reading", "documentationSkills" : "2D drawings; Mechanical specifications; BOM", "innovationCreativity" : "Think outside the box; Creative ideas", "problemSolvingSkills" : "Break down impossibility; Solution-oriented approach", "outcomesObjectives" : "Meet cost targets; Ensure schedule adherence; Mitigate risk; Optimize for cost; Optimize for quality; Optimize for user experience", "qualificationsBasic" : "BS in Mechanical or Equivalent, 7+ years of experience in Mechanical Design, Specializes in waterproof/compact system design, Experience with products related to Outdoor Doorbells, Smart Electronic Locks, or Keypadiometric Access Control Devices", "qualificationsPreferred" : "Master's degree in Mechanical Engineering, Experience in injection molding/sheet metal/ die casting, Fluently speaks English, good at writing/listening/reading", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As part of the MPD team, you will need to think outside the box, break down every impossibility, and be open to discussion in pursuit of perfection. We don’t just expect you to build products simply, but to be proud of what we do. Are you ready to embrace challenges in a fast-paced organization? Join UI, refresh us with your crazy but creative ideas, and make a great impact on the world together! Responsibilities Collaborate closely with Industrial Design (ID) to translate product concepts into manufacturable mechanical designs, ensuring design intent, usability, and cost targets are met. Lead mechanical design and development, including 3D CAD modeling (e.g., SolidWorks), 2D drawings, tolerance analysis, and design for manufacturability (DFM) and assembly (DFA). Validate prototypes through functional, assembly, and reliability testing (e.g., drop test, thermal cycling, environmental testing), and drive design iterations based on test results. Work cross-functionally with Tooling, Manufacturing, Hardware, RF/Antenna, and Sourcing teams to resolve integration issues, optimize performance, and ensure seamless system-level implementation. Drive product development through all stages, including tooling, EVT/DVT/PVT, pilot run, and mass production, ensuring schedule adherence and risk mitigation. Define and control mechanical specifications, BOM, and engineering documentation, maintaining design consistency throughout the product lifecycle. Optimize product design for cost, quality, and user experience (UX), including material selection, surface finishing, and structural integrity. Conduct competitive product teardown and benchmarking, providing insights into mechanical architecture, materials, and manufacturing processes to guide product strategy. Minimum Qualifications BS in Mechanical or Equivalent 7+ years of experience in Mechanical Design (sheet metal, plastics, castings, CNC) Specializes in waterproof/compact system design Thrive in a dynamic, fast-evolving environment with a proactive mindset Demonstrate strong emotional intelligence and effective interpersonal skills Maintain focus and clarity under challenges with a solution-oriented approach Experience with products related to Outdoor Doorbells, Smart Electronic Locks, or Keypad/Biometric Access Control Devices. Preferred Qualifications Master's degree in Mechanical Engineering Experience in injection molding/sheet metal/ die casting “Design.” Fluently speaks English, good at writing/listening/reading Excellent communication skills to work with cross-functional teams", "summaryDescription" : "Mechanical Product Designer (EoT) at Ubiquiti. Skills: Mechanical Design, Product Development, DFM, DFA. Collaborate with Industrial Design. Translate product concepts", "postedDate" : "2026-06-14T04:36:32.454", "createdAt" : "2026-06-14T04:36:32.454", "lastUpdated" : "2026-06-15T04:52:27.207", "ingestTimestamp" : "2026-06-14T04:36:32.454", "mongoId" : "6a2c7dc574d8ee00a0950c59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "3D CAD modeling", "2D drawings", "Tolerance analysis", "Functional testing", "Assembly testing", "Reliability testing", "Competitive product teardown", "Benchmarking", "Emotional intelligence", "Interpersonal skills", "Solution-oriented", "Mechanical Design", "Product Development", "DFM", "DFA", "Product development", "Design for manufacturability", "Design for assembly", "Material selection", "Structural integrity", "Product development stages", "Tooling", "EVT/DVT/PVT", "Pilot run", "Mass production", "Schedule adherence", "Risk mitigation", "Sheet metal", "Plastics", "Castings", "CNC", "Waterproof systems", "Compact systems", "Outdoor Doorbells", "Smart Electronic Locks", "Keypadiometric Access Control Devices", "Injection molding", "Die casting", "SolidWorks" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c28", "title" : "Junior Mechanical Product Designer", "company" : "Ubiquiti", "industry" : "Manufacturing", "salary" : { "min" : 950000.0, "max" : 1400000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Junior Mechanical Product Designer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T03:46:49.014", "fingerprint" : "6b8c399a64597ceeb14ee95f9de3f14ce830072e5e29edc6fecb421941974e9a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4279099009", "externalId" : "4279099009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "technicalSkills" : "SolidWorks, 3D CAD modeling, 2D drawings, Tolerance analysis, DFM, DFA", "professionalSkills" : [ "Product design", "Mechanical design", "Design for manufacturability", "Design for assembly", "Cost optimization", "Material selection", "Structural integrity", "Product teardown", "Benchmarking" ], "hardSkillsList" : [ "Sheet metal design", "Plastics design", "Castings design", "CNC machining", "Functional testing", "Assembly testing", "Reliability testing", "Drop testing", "Thermal cycling", "Environmental testing", "Mechanical specifications", "Engineering documentation" ], "softSkillsList" : [ "Emotional intelligence", "Interpersonal skills", "Solution-oriented" ], "hardSkills" : [ { "name" : "Sheet metal design", "level" : "intermediate" }, { "name" : "Plastics design", "level" : "intermediate" }, { "name" : "Castings design", "level" : "intermediate" }, { "name" : "CNC machining", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Assembly testing", "level" : "intermediate" }, { "name" : "Reliability testing", "level" : "intermediate" }, { "name" : "Drop testing", "level" : "intermediate" }, { "name" : "Thermal cycling", "level" : "intermediate" }, { "name" : "Environmental testing", "level" : "intermediate" }, { "name" : "Mechanical specifications", "level" : "intermediate" }, { "name" : "Engineering documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Emotional intelligence" }, { "name" : "Interpersonal skills" }, { "name" : "Solution-oriented" } ], "majorSkills" : "Mechanical Product Design, 3D CAD Modeling, DFM/DFA, Product Testing", "majorSkillsList" : [ "Mechanical Product Design", "3D CAD Modeling", "DFM/DFA", "Product Testing" ], "coreResponsibilities" : "Translate product concepts, Lead mechanical design, Perform 3D CAD modeling, Create 2D drawings, Conduct tolerance analysis, Validate prototypes, Drive design iterations, Resolve integration issues, Optimize performance, Ensure system-level implementation, Drive product development, Define mechanical specifications, Control Bill of Materials, Maintain design consistency, Optimize product design, Conduct competitive product teardown, Provide benchmarking insights", "teamCollaboration" : "Industrial Design; Tooling teams; Manufacturing teams; Hardware teams; RF/Antenna teams; Sourcing teams; Cross-functional teams", "projectManagementSkills" : [ "EVT/DVT/PVT", "Pilot run", "Mass production", "Schedule adherence", "Risk mitigation" ], "domainKnowledge" : "Waterproof system design; Compact system design; Consumer electronics; Networking devices; Smart security products; Access control devices; Injection molding; Sheet metal; Die casting; Plastics; Castings; CNC machining", "domainList" : [ "waterproof-system-design", "compact-system-design", "consumer-electronics", "networking-devices", "smart-security-products", "access-control-devices", "injection-molding", "sheet-metal", "die-casting", "plastics", "castings", "cnc-machining" ], "domainSpecificKnowledge" : [ "Waterproof system design", "Compact system design", "Consumer electronics", "Networking devices", "Smart security products", "Access control devices", "Injection molding", "Sheet metal", "Die casting", "Plastics", "Castings", "CNC machining" ], "toolProficiency" : [ "SolidWorks" ], "communicationSkills" : "English speaking; English listening; English reading; English writing", "documentationSkills" : "2D drawings; Mechanical specifications; Bill of Materials (BOM); Engineering documentation", "innovationCreativity" : "Creative ideas", "problemSolvingSkills" : "Break down impossibility; Solution-oriented approach", "outcomesObjectives" : "Meet design intent; Meet usability targets; Meet cost targets; Ensure seamless implementation; Ensure schedule adherence; Mitigate risks; Maintain design consistency; Optimize for cost; Optimize for quality; Optimize for user experience", "qualificationsBasic" : "BS in Mechanical or Equivalent, 5+ years Mechanical Design, Waterproof/compact system design, Consumer electronics products experience", "qualificationsPreferred" : "Injection molding/sheet metal/ die casting, Communicate effectively in English, Excellent communication skills", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As part of the MPD team, you will need to think outside the box, break down every impossibility, and be open to discussion in pursuit of perfection. We don’t just expect you to build products simply, but to be proud of what we do. Are you ready to embrace challenges in a fast-paced organization? Join UI, refresh us with your crazy but creative ideas, and make a great impact on the world together! Responsibilities Collaborate closely with Industrial Design (ID) to translate product concepts into manufacturable mechanical designs, ensuring design intent, usability, and cost targets are met. Lead mechanical design and development, including 3D CAD modeling (e.g., SolidWorks), 2D drawings, tolerance analysis, and design for manufacturability (DFM) and assembly (DFA). Validate prototypes through functional, assembly, and reliability testing (e.g., drop test, thermal cycling, environmental testing), and drive design iterations based on test results. Work cross-functionally with Tooling, Manufacturing, Hardware, RF/Antenna, and Sourcing teams to resolve integration issues, optimize performance, and ensure seamless system-level implementation. Drive product development through all stages, including tooling, EVT/DVT/PVT, pilot run, and mass production, ensuring schedule adherence and risk mitigation. Define and control mechanical specifications, BOM, and engineering documentation, maintaining design consistency throughout the product lifecycle. Optimize product design for cost, quality, and user experience (UX), including material selection, surface finishing, and structural integrity. Conduct competitive product teardown and benchmarking, providing insights into mechanical architecture, materials, and manufacturing processes to guide product strategy. Minimum Qualifications BS in Mechanical or Equivalent 5+ years of experience in Mechanical Design (sheet metal, plastics, castings, CNC) Specializes in waterproof/compact system design Thrive in a dynamic, fast-evolving environment with a proactive mindset Demonstrate strong emotional intelligence and effective interpersonal skills Maintain focus and clarity under challenges with a solution-oriented approach Experience with consumer electronics products, including but not limited to networking devices (e.g., AP, routers), smart security products (e.g., doorbells, IP cameras), or access control devices (e.g., smart locks, keypad/biometric systems). Preferred Qualifications Experience in injection molding/sheet metal/ die casting “Design.” Able to communicate effectively in English, including speaking, listening, reading, and writing. Excellent communication skills to work with cross-functional teams", "summaryDescription" : "Junior Mechanical Product Designer at Ubiquiti. Skills: Mechanical Product Design, 3D CAD Modeling, DFM/DFA, Product Testing. Translate product concepts. Lead mechanical design", "postedDate" : "2026-06-13T21:07:11.422", "createdAt" : "2026-06-13T21:07:11.422", "lastUpdated" : "2026-06-15T03:46:49.014", "ingestTimestamp" : "2026-06-13T21:07:11.422", "mongoId" : "6a2c7dc574d8ee00a0950c28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sheet metal design", "Plastics design", "Castings design", "CNC machining", "Functional testing", "Assembly testing", "Reliability testing", "Drop testing", "Thermal cycling", "Environmental testing", "Mechanical specifications", "Engineering documentation", "Emotional intelligence", "Interpersonal skills", "Solution-oriented", "Mechanical Product Design", "3D CAD Modeling", "DFM/DFA", "Product Testing", "Product design", "Mechanical design", "Design for manufacturability", "Design for assembly", "Cost optimization", "Material selection", "Structural integrity", "Product teardown", "Benchmarking", "EVT/DVT/PVT", "Pilot run", "Mass production", "Schedule adherence", "Risk mitigation", "Waterproof system design", "Compact system design", "Consumer electronics", "Networking devices", "Smart security products", "Access control devices", "Injection molding", "Sheet metal", "Die casting", "Plastics", "Castings", "SolidWorks" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c5c", "title" : "Mechanical Product Designer (Network)", "company" : "Ubiquiti", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Mechanical Product Designer in Taiwan, adjusted for the technology industry and a mid-size company." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T06:17:12.263", "fingerprint" : "4a31cb2535c428d97a735a8ce869091dc42828c9661a7b1197ca978f49f93687", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187101009", "externalId" : "4187101009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "3D CAD", "professionalSkills" : [ "Creative thinking", "Root-cause analysis", "Problem-solving", "Data analysis", "Data management", "Statistics", "Experimental design" ], "hardSkillsList" : [ "Mechanical engineering", "Material science", "Tooling", "Manufacturing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Material science", "level" : "intermediate" }, { "name" : "Tooling", "level" : "intermediate" }, { "name" : "Manufacturing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Mechanical design, Product development, Networking products", "majorSkillsList" : [ "Mechanical design", "Product development", "Networking products" ], "coreResponsibilities" : "Create new product concepts, Experiment with new product concepts, Evaluate new product concepts, Improve designs on current products, Test products at field locations, Troubleshoot prototypes, Debug prototypes, Troubleshoot MP Product, Debug MP Product, Perform tests, Conduct engineering analysis, Write analytical reports, Write good practice documents, Manage engineering budgets, Manage schedules, Manage customer interfaces, Work with global manufacturing resources, Work with procurement, Work with outside suppliers", "teamCollaboration" : "Cross-functional team members; Suppliers", "projectManagementSkills" : [ "Project deliverables management" ], "domainKnowledge" : "Networking industry; Basic mechanics; Material science; Tooling; Manufacturing", "domainList" : [ "networking-industry", "basic-mechanics", "material-science", "tooling", "manufacturing" ], "domainSpecificKnowledge" : [ "Networking industry", "Basic mechanics", "Material science", "Tooling", "Manufacturing" ], "toolProficiency" : [ "3D CAD applications", "SolidWorks" ], "communicationSkills" : "Good communication", "documentationSkills" : "Analytical reports; Good practice documents", "continuousLearning" : "Desire to learn new things", "innovationCreativity" : "Creative thinking; Out of the box thinking", "problemSolvingSkills" : "Troubleshooting; Debugging; Root-cause analysis; Problem-solving skills", "qualificationsBasic" : "8+ years Mechanical Engineering experience, 5+ years networking product mechanical design, Bachelor's degree in Mechanical Engineering, Proficient with 3D CAD applications, Solid data analysis skills, Solid data management skills, Basic statistics skills, Experimental design skills, Fluency in English", "qualificationsPreferred" : "Familiar with SolidWorks CAD tool", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary This job will mainly focus on the networking products, take the responsibility of design, development, and testing for all aspects of mechanical components, and have a significant impact on product innovation, cost, schedule, and features. Responsibilities Create, experiment with, and evaluate new product concepts. Improving designs on current products for longer life and more reliability, and testing products at field locations. Capable of troubleshooting and debugging prototypes and MP Product. Perform tests and conduct engineering analysis. Write analytical reports and good practice documents. Responsible for project deliverables, including the management of engineering budgets, schedules, and customer interfaces. Work with global manufacturing resources, procurement, and outside suppliers to meet UI technical, quality, and cost objectives. Minimum Qualifications Minimum 8+ years of Mechanical Engineering experience. 5+ years of networking product mechanical design and development experience. Expressed interest in mechanical engineering in the networking industry. Demonstrated aptitude for creative, “out of the box” thinking. Self-motivated with a strong desire to learn new things. Understanding of basic mechanics, material science, tooling, and manufacturing. Good root-cause analysis and problem-solving skills. Great communication skills for collaborating with cross-functional team members and suppliers. A bachelor’s degree in Mechanical Engineering is required. Proficient with 3D CAD applications. Solid data analysis, data management, basic statistics, and experimental design skills Fluency in English. Preferred Qualifications Leadership in projects. Be familiar with the SolidWorks CAD tool.", "summaryDescription" : "Mechanical Product Designer (Network) at Ubiquiti. Skills: Mechanical design, Product development, Networking products. Create new product concepts. Experiment with new product concepts", "postedDate" : "2026-06-13T20:32:22.146", "createdAt" : "2026-06-13T20:32:22.146", "lastUpdated" : "2026-06-15T06:17:12.263", "ingestTimestamp" : "2026-06-13T20:32:22.146", "mongoId" : "6a2c7dc574d8ee00a0950c5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mechanical engineering", "Material science", "Tooling", "Manufacturing", "Leadership", "Mechanical design", "Product development", "Networking products", "Creative thinking", "Root-cause analysis", "Problem-solving", "Data analysis", "Data management", "Statistics", "Experimental design", "Project deliverables management", "Networking industry", "Basic mechanics", "3D CAD applications", "SolidWorks" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2acc7874d8ee00a070e13a", "title" : "Janitorial / Common Areas", "company" : "MasterCorp, Inc.", "industry" : "hospitality", "salary" : { "min" : 17.0, "max" : 17.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Sedona, AZ", "locations" : [ "Sedona, AZ", "United States of America" ], "timestamp" : "2026-06-14T23:16:44.059", "fingerprint" : "2bfe054a77d35678b37b2c49ae4d9bcbe2a30bb56e697329b93dbed873338e17", "source" : "workday", "language" : "en", "applyUrl" : "https://mastercorp.wd1.myworkdayjobs.com/MC/job/Sedona-AZ/Janitorial---Common-Areas---Ridge-On-Sedona-Resort-Sedona---AZ_JR107298", "externalId" : "JR107298", "industryFunction" : { }, "locationPoint" : "34.86974,-111.76099", "structuredLocations" : [ { "city" : "Sedona", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.8688613,-111.7614394" } ], "locationText" : "Sedona, Arizona, United States", "employmentType" : "PART_TIME", "coreResponsibilities" : "Maintain a high standard of excellence, Clean public and common areas, Clean and polish all public and common area, Maintain storage closets clean and organized, Accept supply deliveries as necessary, Report unit maintenance issues, Walk all assigned areas to ensure all are, Report lost and found items to Executive Housekeeper, Move furniture as directed, Ensure a safe working environment, Perform all duties related to site operation, Maintain a sense of urgency, Be prompt with all assignments and appointments, Use supplies and equipment efficiently and effectively, Perform inventories on supplies, Assist in solving guest complaints promptly, Create strong, positive customer relations", "specialRequirements" : "Able to move furniture, Lifting up to 25 lbs, Standing and walking, Repetitive motions", "qualificationsBasic" : "Previous experience in housekeeping preferred", "qualificationsPreferred" : "Previous experience in housekeeping preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Join Our Team at MasterCorp, Inc.!** At MasterCorp, Inc., we provide exceptional service and innovative solutions in the hospitality industry. As a leader in our field, we believe in the power of teamwork, integrity, and a commitment to excellence. Our dynamic and inclusive workplace fosters growth, creativity, and the opportunity to make an impact. We are looking for passionate and driven individuals to join our team and help us continue to deliver outstanding results for our clients. Start your hospitality career with MasterCorp, the leader in housekeeping and hospitality services! Join a team of dedicated, passionate individuals and enjoy competitive pay along with a full benefits package. Don’t miss out—APPLY TODAY! **WHAT WE OFFER YOU** * Starting at $17.00 per hour * Refer A Friend Bonus Potential * Immediate hire – Full-time and part-time positions available * Paid Training * Benefits package including: Medical, Vision, Dental, Paid Time Off * Opportunities for growth and career development **What We 're Looking For:** Friendly, enthusiastic, and hard-working individuals who are passionate about hospitality and committed to providing exceptional service, ensuring guests feel safe and cared for during their vacation. **Position Overview** : Responsible for cleaning and maintaining the cleanliness of public and common areas while meeting quality and timeliness standards. A Janitorial Person must ensure he or she follows the company mission statement and values. The purpose of this position is to perform custodial work in offices, warehouses, industrial areas and other building interiors **Essential Functions** : Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Maintain a high standard of excellence * Clean public and common areas * Clean and polish all public and common area floors * Maintain storage closets clean and organized * Accept supply deliveries as necessary * Report unit maintenance issues as per company procedure * Walk all assigned areas to ensure all are clean and trash free * Report lost and found items to Executive Housekeeper * Able to move furniture as directed * Ensure a safe working environment while on site * Willing and able to perform all duties related to site operation as directed by the Executive Housekeeper * Maintain a sense of urgency so that all assigned areas maintain standard of cleanliness * Personal timeliness. Be prompt with all assignments and appointments * Use supplies and equipment efficiently and effectively * Perform inventories on supplies * Assist in solving guest complaints promptly * Create strong, positive customer relations **Experience and Education Requirements** * Previous experience in housekeeping preferred, but not required * A passion for cleanliness * Strong work ethic * Ability to learn and change behavior * Work irregular hours * Travel – rarely **Physical Requirements:** This position frequently requires standing, walking, pushing, pulling, moving, lifting (up to 25 lbs), bending, reaching, occasional ascending/descending, and repetitive motions. Employee must be able to perform the essential functions of the position satisfactorily, reasonable accommodations may be made to enable employees with disabilities to perform the essential functions of their job. **Equal Opportunity Employer Statement:** We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ________________________________________ Thank you for considering a career with MasterCorp, Inc. We look forward to reviewing your application.", "summaryDescription" : "Janitorial / Common Areas at MasterCorp, Inc.. Maintain a high standard of excellence. Clean public and common areas", "postedDate" : "2026-06-10T03:15:24.270", "createdAt" : "2026-06-12T03:15:24.141", "lastUpdated" : "2026-06-14T23:16:44.059", "ingestTimestamp" : "2026-06-12T03:15:24.141", "mongoId" : "6a2acc7874d8ee00a070e13a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://mastercorp.wd1.myworkdayjobs.com/MC/job/Sedona-AZ/Janitorial---Common-Areas---Ridge-On-Sedona-Resort-Sedona---AZ_JR107298", "salaryAnnualMin" : 35360, "salaryAnnualMax" : 35360, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "hospitality" }, { "id" : "6a2c7dc574d8ee00a0950c60", "title" : "Mechanical Product Designer (Wireless Outdoor)", "company" : "Ubiquiti Inc.", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Mechanical Product Designer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T10:21:33.245", "fingerprint" : "854a46d95c7a98e32b99531fe820d0ced2f05b3085464e549c813db832e6599c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4194220009", "externalId" : "4194220009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product development", "DFM/DFT reviews", "High-volume readiness", "Mass production" ], "hardSkillsList" : [ "Waterproof design", "Reliability engineering", "Tolerance stack-up" ], "hardSkills" : [ { "name" : "Waterproof design", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" }, { "name" : "Tolerance stack-up", "level" : "intermediate" } ], "majorSkills" : "Mechanical design, Outdoor devices, Rugged housings", "majorSkillsList" : [ "Mechanical design", "Outdoor devices", "Rugged housings" ], "coreResponsibilities" : "Drive mechanical architecture, Enclosure development outdoor IP-rated devices, Enclosure development rugged housings, Enclosure development battery-integrated systems, Validate product performance extreme outdoor conditions, Lead DFM/DFT reviews, Collaborate EE/RF teams optimize layout, Collaborate EE/RF teams optimize antenna placement, Collaborate EE/RF teams optimize thermal paths, Develop mounting solutions diverse outdoor installation, Ensure long-term mechanical reliability", "teamCollaboration" : "Collaborate with EE/RF teams; Cross-team decision-making", "domainKnowledge" : "IP-rated devices; Outdoor category; Thermal cycling; UV exposure; Waterproofing; Vibration; Salt spray; Gasket; Vent; Overmold; Sealing structures; RF requirements; Optical requirements; FOV alignment; Anti-fog design", "domainList" : [ "ip-rated-devices", "outdoor-category", "thermal-cycling", "uv-exposure", "waterproofing", "vibration", "salt-spray", "gasket", "vent", "overmold", "sealing-structures", "rf-requirements", "optical-requirements", "fov-alignment", "anti-fog-design" ], "domainSpecificKnowledge" : [ "IP-rated devices", "Outdoor category", "Thermal cycling", "UV exposure", "Waterproofing", "Vibration", "Salt spray", "Gasket", "Vent", "Overmold", "Sealing structures", "RF requirements", "Optical requirements", "FOV alignment", "Anti-fog design" ], "qualificationsBasic" : "7+ years designing outdoor devices, Hands-on waterproof design, Reliability engineering outdoor environments, Ownership mechanical development concept to MP, Balance mechanical constraints RF/thermal/optical", "qualificationsPreferred" : "Experience camera-like devices, Experience battery enclosures, Experience thermal management outdoor systems, Familiarity optical module integration, Track record leading design reviews, Cross-team decision-making fast-moving organizations", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary In this role, you will lead the mechanical design of next-generation outdoor and Camera-Like devices. You will work on products exposed to extreme climates, long-term UV/heat aging, and waterproofing constraints—all while balancing aesthetics, reliability, and manufacturability. Your decisions directly shape products that ship globally and define UI’s leadership in the outdoor category. Responsibilities Drive mechanical architecture and enclosure development specifically for outdoor IP-rated devices, rugged housings, and battery-integrated systems. Validate product performance under extreme outdoor conditions (thermal cycling, UV exposure, waterproofing, vibration, salt spray). Lead DFM/DFT reviews with tooling and manufacturing partners, ensuring high-volume readiness and stable mass production. Collaborate with EE/RF teams to optimize layout, antenna placement, and thermal paths while maintaining sealing and structural integrity. Develop mounting solutions for diverse outdoor installation environments and ensure long-term mechanical reliability. Requirement 7+ years in designing outdoor, ruggedized, IP-rated devices (Outdoor AP, IP Camera, Surveillance, IoT Outdoor, Mobile Devices, Automotive Electronics, Outdoor Power, Rugged Laptop or equivalent). Strong hands-on experience with waterproof design (gasket, vent, overmold, sealing structures) and reliability engineering for outdoor environments. Proven ownership of mechanical development from concept to MP for high-volume consumer or prosumer electronics. Demonstrated ability to balance mechanical constraints with RF, thermal, and optical requirements. Preferred Qualifications Experience working on Camera-Like devices, battery enclosures, or thermal management for outdoor systems. Familiarity with optical module mechanical integration (FOV alignment, tolerance stack-up, anti-fog design). Track record of leading design reviews and cross-team decision-making in fast-moving product organizations.", "summaryDescription" : "Mechanical Product Designer (Wireless Outdoor) at Ubiquiti Inc.. Skills: Mechanical design, Outdoor devices, Rugged housings. Drive mechanical architecture. Enclosure development outdoor IP-rated devices", "postedDate" : "2026-06-14T09:17:49.603", "createdAt" : "2026-06-14T09:17:49.603", "lastUpdated" : "2026-06-15T10:21:33.245", "ingestTimestamp" : "2026-06-14T09:17:49.603", "mongoId" : "6a2c7dc574d8ee00a0950c60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Waterproof design", "Reliability engineering", "Tolerance stack-up", "Mechanical design", "Outdoor devices", "Rugged housings", "Product development", "DFM/DFT reviews", "High-volume readiness", "Mass production", "IP-rated devices", "Outdoor category", "Thermal cycling", "UV exposure", "Waterproofing", "Vibration", "Salt spray", "Gasket", "Vent", "Overmold", "Sealing structures", "RF requirements", "Optical requirements", "FOV alignment", "Anti-fog design" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d3e6b92beec4dd3d3f7436", "title" : "Product Lifecycle Mechanical Engineer, Data Center Mechanical Solutions", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 116800.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "certifications" : [ "Professional Engineer License" ], "timestamp" : "2026-06-14T23:37:51.021", "fingerprint" : "cfa2e37d54db9ece490946f74e43e823ddd770baf5af6892cb145d947ee28633", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383984/apply", "externalId" : "910c56b1-f658-4be3-bac0-5891f9492ad1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Piping systems, Pumping systems, Air handler systems", "professionalSkills" : [ "Manufacturing experience", "Cooling product design", "Cooling principles", "Quality manufacturing practices", "Equipment specifications", "Failure mode analysis", "Root cause analysis", "Product improvements" ], "hardSkillsList" : [ "Mechanical engineering", "Liquid cooling" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Liquid cooling", "level" : "intermediate" } ], "majorSkills" : "Data center cooling, Product lifecycle, Mechanical engineering", "majorSkillsList" : [ "Data center cooling", "Product lifecycle", "Mechanical engineering" ], "coreResponsibilities" : "Support AWS data centers' liquid cooling infrastructure, Work with product development teams, Maintain engineering ownership throughout operational life, Serve as global engineering resource for liquid cooling, Provide recommendations despite uncertainty, Review, update, and approve equipment submittals, Work with global liquid cooling equipment suppliers, Build trust and relationships with stakeholders, Work on concurrent projects, Explain complex systems, Support Operations, Analyze failure modes, Perform root cause analysis, Support maintenance and troubleshooting, Review operating procedures, Listen to voice of customer, Design product improvements, Oversee root cause analysis, Contribute to global body of knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Product development teams; Global suppliers and manufacturers; Reliability, operations, design, compliance", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Data center liquid cooling; Mission critical facilities; Power generation; Oil and gas facilities", "domainList" : [ "data-center-liquid-cooling", "mission-critical-facilities", "power-generation", "oil-and-gas-facilities" ], "domainSpecificKnowledge" : [ "Data center liquid cooling", "Mission critical facilities", "Power generation", "Oil and gas facilities" ], "communicationSkills" : "Explain complex systems", "documentationSkills" : "Construction drawings; Specifications; Submittal documents", "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "30% travel, Intermittent travel, Domestic travel, International travel", "outcomesObjectives" : "Increase product reliability; Increase product availability", "qualificationsBasic" : "4+ years industrial/commercial engineering in mission critical facilities, 4+ years commissioning experience, Bachelor's degree in Electrical Engineering or related field, Experience researching new designs, technologies, construction methods of data center equipment and facilities", "qualificationsPreferred" : "Professional Engineer License, Experience with building codes and regulations, Experience carrying design concepts through exploration, development, and into deployment or mass production, Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking a Mechanical Engineer to be part of a global engineering team responsible for ownership and continuous improvement related to data center liquid cooling infrastructure products within our rapidly expanding data center footprint. We seek engineers with hands-on mechanical and manufacturing experience in liquid cooling products. Experience leading cooling product design, understanding cooling principles, and knowledge of quality manufacturing practices is essential. You should comprehend detailed equipment specifications, piping systems, pumping systems, air handler systems and evaluate design change implications. As a Global Amazon Product Lifecycle Engineer, you'll support AWS data centers' liquid cooling infrastructure. You'll work with product development teams to understand products during development and testing, maintaining engineering ownership throughout operational life. You'll serve as the global engineering resource for liquid cooling AWS infrastructure in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. This position can be based out of Herndon VA, Austin, TX or Columbus, OH. Key job responsibilities • Possess strong engineering judgement and are able to provide recommendations despite uncertainty • Are detail and data oriented • Have experience engineering air handling, piping and/or pumping products • Review, update, and approve equipment submittals • Work with global liquid cooling equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. #DCE_P&S Basic Qualifications: - 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - 4+ years of commissioning experience - Bachelor's degree in Electrical Engineering or a related field - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications: - Professional Engineer License - Experience with building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents 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, OH, COLUMBUS - 116,800.00 - 160,000.00 USD annually USA, TX, Austin - 116,800.00 - 160,000.00 USD annually USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually", "summaryDescription" : "Product Lifecycle Mechanical Engineer, Data Center Mechanical Solutions at Amazon Data Services, Inc.. Skills: Data center cooling, Product lifecycle, Mechanical engineering. Support AWS data centers' liquid cooling infrastructure. Work with product development teams", "postedDate" : "2026-06-13T05:36:20.139", "createdAt" : "2026-06-13T05:36:20.139", "lastUpdated" : "2026-06-14T23:37:51.021", "ingestTimestamp" : "2026-06-13T05:36:20.139", "mongoId" : "69d3e6b92beec4dd3d3f7436", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383984/apply", "salaryAnnualMin" : 116800, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering", "Liquid cooling", "Data center cooling", "Product lifecycle", "Manufacturing experience", "Cooling product design", "Cooling principles", "Quality manufacturing practices", "Equipment specifications", "Failure mode analysis", "Root cause analysis", "Product improvements", "Concurrent projects", "Data center liquid cooling", "Mission critical facilities", "Power generation", "Oil and gas facilities", "Professional Engineer License" ], "skillCount" : 18, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2cee2774d8ee00a0a80925", "title" : "Nurse RN or LPN On-Call", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the US market baseline for RN/LPN roles, adjusted for mid-seniority and the healthcare industry in Milaca, MN." }, "location" : "Milaca, MN", "locations" : [ "Milaca, MN" ], "certifications" : [ "RN license", "LPN license" ], "timestamp" : "2026-06-15T08:36:51.662", "fingerprint" : "1271d7e64203413fc0a9bf8d172e8ef047f93d8b7b22fc672b36e46d4a95504b", "source" : "jazzhr", "language" : "en", "externalId" : "8XjGHwmUK7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milaca", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.7557990,-93.6544079" } ], "locationText" : "Milaca, Minnesota, United States", "majorSkills" : "Patient Care, On-Call Support", "majorSkillsList" : [ "Patient Care", "On-Call Support" ], "coreResponsibilities" : "Provide on-call nursing care, Respond to patient needs", "domainKnowledge" : "Nursing practice", "domainList" : [ "nursing-practice" ], "domainSpecificKnowledge" : [ "Nursing practice" ], "documentationSkills" : "Patient charting", "problemSolvingSkills" : "Clinical assessment", "specialRequirements" : "On-Call", "qualificationsBasic" : "Active RN license, Active LPN license", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Nurse RN or LPN On-Call. Skills: Patient Care, On-Call Support. Provide on-call nursing care. Respond to patient needs", "createdAt" : "2026-06-14T01:19:29.929", "lastUpdated" : "2026-06-15T08:36:51.662", "ingestTimestamp" : "2026-06-14T01:19:29.929", "mongoId" : "6a2cee2774d8ee00a0a80925", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Patient Care", "On-Call Support", "Nursing practice", "RN license", "LPN license" ], "skillCount" : 5, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c5e", "title" : "Mechanical Product Designer (Portable/Mobility)", "company" : "Ubiquiti", "industry" : "Manufacturing", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Mechanical Product Designer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T07:10:50.057", "fingerprint" : "7127c95e86a0bfd700e122eaf5a4622ae18a8c88a9966e937a89b45f5f629acc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4186002009", "externalId" : "4186002009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "technicalSkills" : "Plastic part design, Metal part design, Injection molding, Stamping, Die-casting, CNC machining, Keypad/button mechanisms, Acoustic structure design, TP/LCM module integration, Passive thermal solutions, Graphite sheet design, Heatsink design, Thermal path design, Reliability testing, Drop testing, Vibration testing, Thermal cycling, Salt spray testing, Key life testing, DFM/DFA, Tooling review, Fixture design, Mass-production ramp-up, Cosmetic surface treatment", "professionalSkills" : [ "Product concept evaluation", "Material selection", "Component selection", "Manufacturing process assessment", "Design standards adherence", "Product development", "Manufacturing efficiency", "Product reliability enhancement", "Design integrity analysis", "Emerging technology evaluation", "Development efficiency improvement" ], "hardSkillsList" : [ "3D modeling", "Engineering drawing production", "Failure analysis" ], "hardSkills" : [ { "name" : "3D modeling", "level" : "intermediate" }, { "name" : "Engineering drawing production", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" } ], "majorSkills" : "Mechanical design, Product development, Manufacturing processes", "majorSkillsList" : [ "Mechanical design", "Product development", "Manufacturing processes" ], "coreResponsibilities" : "Drive creation of new product concepts, Evaluate new product concepts, Lead assessment of materials, Contribute to assessment of components, Contribute to assessment of manufacturing processes, Develop precise 3D models, Produce high-quality engineering drawings, Identify design issues, Analyze design issues, Resolve design issues, Identify tooling issues, Analyze tooling issues, Resolve tooling issues, Identify production issues, Analyze production issues, Resolve production issues, Plan testing activities, Execute testing activities, Perform detailed analyses, Enhance design integrity, Ensure product reliability, Conduct research on materials, Evaluate emerging materials, Evaluate emerging technologies, Evaluate emerging manufacturing processes, Improve product performance, Improve development efficiency", "teamCollaboration" : "Cross-functional teams; External suppliers", "projectManagementSkills" : [ "Product development", "Mass-production ramp-up" ], "domainKnowledge" : "Networking industry; Portable wireless products; IP phones; Mobile phones", "domainList" : [ "networking-industry", "portable-wireless-products", "ip-phones", "mobile-phones" ], "domainSpecificKnowledge" : [ "Networking industry", "Portable wireless products", "IP phones", "Mobile phones" ], "communicationSkills" : "Reading; Writing; Verbal communication", "documentationSkills" : "Engineering drawings", "continuousLearning" : "Adapt to new knowledge; Adapt to new technologies", "innovationCreativity" : "Creative thinking; Innovative solutions; Out-of-the-box solutions", "problemSolvingSkills" : "Root-cause analysis; Problem-solving; Failure analysis", "outcomesObjectives" : "Ensure efficient product development; Ensure efficient manufacturing; Enhance design integrity; Ensure product reliability; Improve product performance; Improve development efficiency", "qualificationsBasic" : "Interest in mechanical engineering, Demonstrated creative thinking, Highly self-motivated, Solid understanding of mechanics, Material science knowledge, Manufacturing principles knowledge, Root-cause analysis capabilities, Effective problem-solving skills, Excellent communication skills, Proficient in English", "qualificationsPreferred" : "Experience developing handheld devices", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Drive the creation and evaluation of new product concepts to support innovation and market competitiveness. Lead and contribute to the assessment and selection of appropriate materials, components, and manufacturing processes. Develop precise 3D models and produce high-quality engineering drawings in accordance with design standards. Identify, analyze, and resolve design, tooling, and production issues to ensure efficient product development and manufacturing. Plan and execute testing activities, and perform detailed analyses to enhance design integrity and ensure product reliability. Conduct research and evaluations of emerging materials, technologies, and manufacturing processes to continuously improve product performance and development efficiency. Basic Qualifications Strong interest in mechanical engineering within the networking and technology industry. Demonstrated creative thinking and the ability to approach problems with innovative, “out-of-the-box” solutions. Highly self-motivated with a strong willingness to learn and adapt to new knowledge and technologies. Solid understanding of basic mechanics, material science, and manufacturing principles. Strong root-cause analysis capabilities and effective problem-solving skills. Excellent communication skills, enabling effective collaboration with cross-functional teams and external suppliers. Proficient in English with strong reading, writing, and verbal communication abilities. Technical Requirements Strong experience with plastic and metal part design, including injection molding, stamping, die-casting, and CNC machining. Hands-on experience with keypad/button mechanisms, acoustic structure design, and TP/LCM module integration. Ability to design passive thermal solutions (graphite sheet, heatsink, thermal path design). Experience with reliability testing (drop, vibration, thermal cycling, salt spray, key life) and the ability to analyze and resolve related failures. Experience in DFM/DFA, tooling review, fixture design, and mass-production ramp-up. Familiar with cosmetic surface treatment processes and appearance quality control. Experience developing handheld devices such as IP phones, Mobile phones, or portable wireless products is a strong plus.", "summaryDescription" : "Mechanical Product Designer (Portable/Mobility) at Ubiquiti. Skills: Mechanical design, Product development, Manufacturing processes. Drive creation of new product concepts. Evaluate new product concepts", "postedDate" : "2026-06-14T03:36:09.199", "createdAt" : "2026-06-14T03:36:09.199", "lastUpdated" : "2026-06-15T07:10:50.057", "ingestTimestamp" : "2026-06-14T03:36:09.199", "mongoId" : "6a2c7dc574d8ee00a0950c5e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "3D modeling", "Engineering drawing production", "Failure analysis", "Mechanical design", "Product development", "Manufacturing processes", "Product concept evaluation", "Material selection", "Component selection", "Manufacturing process assessment", "Design standards adherence", "Manufacturing efficiency", "Product reliability enhancement", "Design integrity analysis", "Emerging technology evaluation", "Development efficiency improvement", "Mass-production ramp-up", "Networking industry", "Portable wireless products", "IP phones", "Mobile phones" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a5d6e74d8ee00a0618edd", "title" : "Staff Electric Propulsion Engineer", "company" : "Vast", "industry" : "Aerospace", "salary" : { "min" : 200000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Electric Propulsion Engineer in Long Beach, CA, adjusted for senior experience, technology industry, and company size." }, "location" : "Long Beach, California, United States", "locations" : [ "Long Beach", "California", "United States" ], "timestamp" : "2026-06-14T20:16:21.402", "fingerprint" : "3e8d596b6b87b954ac417cd1aa5b868e19be7b36e419e9a5f69f814377727b7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/vast/jobs/4686360006?gh_jid=4686360006", "externalId" : "4686360006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7690164,-118.1916040" } ], "locationText" : "Long Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Electric propulsion", "professionalSkills" : [ "Manufacturability", "Testability", "Cost at rate" ], "hardSkillsList" : [ "Performance testing", "Plume characterization", "Lifetime assessment", "Flow control", "Power conditioning", "Thruster control electronics", "Power interface definition", "Mechanical mounting", "Electrical interfaces", "Thermal interfaces", "Propellant routing", "Power profiles", "Heat rejection", "Thrust vector", "Disturbance torques", "Momentum impact", "Delta-V budgets", "Burn planning", "Constellation phasing", "Fleet maneuver planning", "Propellant management", "Vibration testing", "Thermal vacuum testing", "EMIC testing", "Subsystem integration" ], "hardSkills" : [ { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Plume characterization", "level" : "intermediate" }, { "name" : "Lifetime assessment", "level" : "intermediate" }, { "name" : "Flow control", "level" : "intermediate" }, { "name" : "Power conditioning", "level" : "intermediate" }, { "name" : "Thruster control electronics", "level" : "intermediate" }, { "name" : "Power interface definition", "level" : "intermediate" }, { "name" : "Mechanical mounting", "level" : "intermediate" }, { "name" : "Electrical interfaces", "level" : "intermediate" }, { "name" : "Thermal interfaces", "level" : "intermediate" }, { "name" : "Propellant routing", "level" : "intermediate" }, { "name" : "Power profiles", "level" : "intermediate" }, { "name" : "Heat rejection", "level" : "intermediate" }, { "name" : "Thrust vector", "level" : "intermediate" }, { "name" : "Disturbance torques", "level" : "intermediate" }, { "name" : "Momentum impact", "level" : "intermediate" }, { "name" : "Delta-V budgets", "level" : "intermediate" }, { "name" : "Burn planning", "level" : "intermediate" }, { "name" : "Constellation phasing", "level" : "intermediate" }, { "name" : "Fleet maneuver planning", "level" : "intermediate" }, { "name" : "Propellant management", "level" : "intermediate" }, { "name" : "Vibration testing", "level" : "intermediate" }, { "name" : "Thermal vacuum testing", "level" : "intermediate" }, { "name" : "EMIC testing", "level" : "intermediate" }, { "name" : "Subsystem integration", "level" : "intermediate" } ], "majorSkills" : "Electric propulsion, Spacecraft bus, Constellation spacecraft", "majorSkillsList" : [ "Electric propulsion", "Spacecraft bus", "Constellation spacecraft" ], "coreResponsibilities" : "Own EP thruster integration, Own acceptance testing, Own qualification for spacecraft bus, Drive thruster selection, Drive procurement, Evaluate vendor options, Manage performance requirements, Oversee delivery, Own PPU requirements, Own PPU development oversight, Coordinate with electronics lead, Manage vendor PPU procurement, Manage vendor PPU acceptance, Design propellant feed system, Perform thruster performance characterization, Develop thruster lifetime models, Predict degradation for mission-duration operation, Own EP system integration with spacecraft bus, Define EP power profiles, Coordinate with thermal on heat rejection, Design orbit-raising maneuver strategies, Design stationkeeping maneuver strategies, Design deorbit maneuver strategies, Support constellation-scale EP operations, Plan EP subsystem environmental testing, Execute EP subsystem environmental testing, Design for production", "teamCollaboration" : "Coordinate with power lead; Coordinate with thermal lead; Coordinate with GNC; Coordinate with electronics lead", "domainKnowledge" : "Electric propulsion systems; Spacecraft buses; Constellation spacecraft; Hall-effect thrusters; Ion engines; Propellant feed systems; Power processing units; Low-thrust trajectory optimization; Orbit-raising strategies; Stationkeeping budgets; EP environmental qualification; Vibration testing; Thermal vacuum testing; EMI testing; Production scaling", "domainList" : [ "electric-propulsion-systems", "spacecraft-buses", "constellation-spacecraft", "hall-effect-thrusters", "ion-engines", "propellant-feed-systems", "power-processing-units", "low-thrust-trajectory-optimization", "orbit-raising-strategies", "stationkeeping-budgets", "ep-environmental-qualification", "vibration-testing", "thermal-vacuum-testing", "emi-testing", "production-scaling" ], "domainSpecificKnowledge" : [ "Electric propulsion systems", "Spacecraft buses", "Constellation spacecraft", "Hall-effect thrusters", "Ion engines", "Propellant feed systems", "Power processing units", "Low-thrust trajectory optimization", "Orbit-raising strategies", "Stationkeeping budgets", "EP environmental qualification", "Vibration testing", "Thermal vacuum testing", "EMI testing", "Production scaling" ], "qualificationsBasic" : "Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related technical discipline, 5+ years of electric propulsion development or integration experience, Hall-effect thruster or ion engine experience, Propellant feed system design experience, PPU integration experience, EP system-level integration on a flight program, Understanding of EP mission design, Experience with EP environmental qualification", "qualificationsPreferred" : "20+ days of vacation, 10+ days of vacation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Vast, our mission is to contribute to a future where billions of people are living and thriving in space. Vast is developing next-generation space stations to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Using an incremental, hardware-rich and low-cost approach, Vast is rapidly developing its multi-module Haven Station. Haven Demo’s 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world’s first commercial space station when it launches, followed by additional Haven modules to enable permanent human presence by 2030. Our team is all-in, committed to executing our mission safely and on time. If you want to work with the most talented people on Earth furthering space exploration for humanity, come join us. Vast is seeking a Staff Electric Propulsion Engineer to own EP system development and integration for a new constellation-ready spacecraft bus — a product line designed to scale to hundreds of spacecraft per year. This will be a full-time, exempt position located in our Long Beach location. About the role: You’ll own the electric propulsion system for a constellation spacecraft bus — from thruster selection and qualification through flight integration and on-orbit performance. The EP system handles orbit raising, stationkeeping, and end-of-life deorbit for every satellite in the constellation. You’ll work alongside a small, experienced propulsion team that’s already making architecture decisions — this role adds depth and bandwidth as the program moves from trades into hardware. The real challenge is production. This isn’t a one-off flight system — you’re building an EP subsystem that scales to hundreds of spacecraft per year. Every design decision needs to balance performance against manufacturability, testability, and cost at rate. You’ll also be the EP system’s interface to the rest of the bus — coordinating power draw with the power lead, thermal dissipation with the thermal lead, and disturbance torques with GNC. Responsibilities: Own EP thruster integration, acceptance testing, and qualification for the spacecraft bus Drive thruster selection and procurement — evaluate vendor options, manage performance requirements, oversee delivery Own power processing unit (PPU) requirements and development oversight — coordinate with the electronics lead on any in-house builds, or manage vendor PPU procurement and acceptance Design the propellant feed system — tanks, valves, pressure regulation, fill/drain provisions, and flow control Perform thruster performance characterization — thrust, Isp, efficiency mapping across the operating envelope Develop thruster lifetime models and predict degradation for mission-duration operation Own EP system integration with the spacecraft bus — mechanical mounting, power interfaces, thermal interfaces, and propellant routing Define EP power profiles and coordinate with the power lead to ensure the bus can support thruster operation across all modes Coordinate with thermal on thruster and PPU heat rejection — radiator sizing, thermal coatings, duty cycle constraints Coordinate with GNC on thrust vector, disturbance torques, and momentum impact during EP maneuvers Design orbit-raising, stationkeeping, and deorbit maneuver strategies — delta-V budgets, burn planning, constellation phasing Support constellation-scale EP operations — fleet maneuver planning, propellant management across the manifest Plan and execute EP subsystem environmental testing — vibration, thermal vacuum, EMI/EMC Design for production — the EP system must be assembled, tested, and integrated at rate as the program scales to hundreds of spacecraft per year Minimum Qualifications: Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related technical discipline 5+ years of electric propulsion development or integration experience Hall-effect thruster or ion engine experience — performance testing, plume characterization, lifetime assessment Propellant feed system design experience — tanks, valves, flow control for EP systems PPU integration experience — power conditioning, thruster control electronics, power interface definition EP system-level integration on a flight program — mechanical, electrical, thermal, and propellant interfaces Understanding of EP mission design — low-thrust trajectory optimization, orbit-raising strategies, stationkeeping budgets Experience with EP environmental qualification — vibe, TVAC, and EMI testing of propulsion hardware Comfortable working across subsystem boundaries — power, thermal, GNC, and structures all intersect with propulsion Preferred Skills up to 20+ days of vacation for exempt staff and up to 10+ days of vacation for non-exempt staff with the ability to cash-out unused vacation annually, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks. We also take pride in offering exceptional food perks, with snacks, drip coffee employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.", "summaryDescription" : "Staff Electric Propulsion Engineer at Vast. Skills: Electric propulsion, Spacecraft bus, Constellation spacecraft. Own EP thruster integration. Own acceptance testing", "postedDate" : "2026-06-11T18:54:35.652", "createdAt" : "2026-06-11T18:54:35.652", "lastUpdated" : "2026-06-14T20:16:21.402", "ingestTimestamp" : "2026-06-11T18:54:35.652", "mongoId" : "6a2a5d6e74d8ee00a0618edd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 275000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Performance testing", "Plume characterization", "Lifetime assessment", "Flow control", "Power conditioning", "Thruster control electronics", "Power interface definition", "Mechanical mounting", "Electrical interfaces", "Thermal interfaces", "Propellant routing", "Power profiles", "Heat rejection", "Thrust vector", "Disturbance torques", "Momentum impact", "Delta-V budgets", "Burn planning", "Constellation phasing", "Fleet maneuver planning", "Propellant management", "Vibration testing", "Thermal vacuum testing", "EMIC testing", "Subsystem integration", "Electric propulsion", "Spacecraft bus", "Constellation spacecraft", "Manufacturability", "Testability", "Cost at rate", "Electric propulsion systems", "Spacecraft buses", "Hall-effect thrusters", "Ion engines", "Propellant feed systems", "Power processing units", "Low-thrust trajectory optimization", "Orbit-raising strategies", "Stationkeeping budgets", "EP environmental qualification", "EMI testing", "Production scaling" ], "skillCount" : 43, "jobCategory" : "other", "jobSubcategory" : "satellite", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a2c772974d8ee00a093be40", "title" : "Utility Project Manager - Electric Distribution", "company" : "CARIAN", "industry" : "PMO", "salary" : { "min" : 120000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Washington DC", "locations" : [ "Washington DC" ], "certifications" : [ "PMP certification" ], "timestamp" : "2026-06-15T09:46:08.744", "fingerprint" : "94264b2a4fc8bb2d515ccdd353abbe739aad5f9392a889185ad2890c5389defc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/carian/f37cac79-d856-4f23-9997-6e972070fa94/application", "externalId" : "f37cac79-d856-4f23-9997-6e972070fa94", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Manager", "professionalSkills" : [ "Stakeholder management", "Cross-functional coordination" ], "hardSkillsList" : [ "Project delivery", "Scope management", "Schedule management", "Budget management", "Risk management" ], "hardSkills" : [ { "name" : "Project delivery", "level" : "intermediate" }, { "name" : "Scope management", "level" : "intermediate" }, { "name" : "Schedule management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" } ], "majorSkills" : "Electric distribution, Project management, Utility capital programs", "majorSkillsList" : [ "Electric distribution", "Project management", "Utility capital programs" ], "coreResponsibilities" : "Lead delivery of electric distribution projects, Manage scope, schedule, budget, and risk, Coordinate with engineering, construction, and stakeholders, Monitor contractor performance and project progress, Support status reporting, forecasting, and updates, Identify risks and implement mitigation strategies, Ensure compliance with utility standards, Support field visits and site coordination", "teamCollaboration" : "Client stakeholders; Engineering; Construction; Utility stakeholders", "projectManagementSkills" : [ "PMP", "Program management" ], "domainKnowledge" : "Electric distribution; Utility capital programs; Power sector", "domainList" : [ "electric-distribution", "utility-capital-programs", "power-sector" ], "domainSpecificKnowledge" : [ "Electric distribution", "Utility capital programs", "Power sector" ], "communicationSkills" : "Executive updates", "problemSolvingSkills" : "Risk mitigation", "specialRequirements" : "Minimum three days per week on-site, Frequent job site visits, Willingness to support on-site work", "qualificationsBasic" : "Bachelor’s degree required, 8+ years experience, PMP certification required, Reside within DC, Maryland, or Northern Virginia", "qualificationsPreferred" : "Experience with Exelon-family utilities, Experience with Northeast or Mid-Atlantic utilities", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Utility Project Manager – Electric Distribution Location: Washington, DC (Client Site – Penn Quarter) Job Type: Full-Time Compensation: $120k - $155k Annual Base Salary About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Utility Project Manager with strong electric distribution experience to support major utility capital programs in the Mid-Atlantic region. This role works closely with client stakeholders and is responsible for driving scope, schedule, and cross-functional coordination across active distribution initiatives. The ideal candidate brings hands-on utility project delivery experience and is comfortable operating in a fast-paced, client-facing environment with regular presence at client and field locations. All positions require a minimum of three days per week on-site at the client or CARIAN office, frequent visits to active job sites, and may require full five-day on-site presence based on program needs. Key Responsibilities - Lead end-to-end delivery of electric distribution projects within utility capital programs - Manage scope, schedule, budget, and risk across assigned workstreams - Coordinate with engineering, construction, and utility stakeholders - Monitor contractor performance and project progress against plan - Support status reporting, forecasting, and executive updates - Identify risks and implement mitigation strategies - Ensure compliance with utility standards, safety requirements, and regulatory expectations - Support field visits and site coordination activities as required Qualifications - Bachelor’s degree in Engineering, Construction Management, Business, or a related technical field required. - Experience Level: 8+ years of relevant utility project management experience - Demonstrated experience supporting electric distribution programs - PMP certification required or commitment to obtain within 3 months of employment - Experience with Exelon-family utilities strongly preferred (Pepco, ACE, DPL, PECO, BGE, ComEd) - If not Exelon, experience with Northeast or Mid-Atlantic utilities preferred - Strong stakeholder management and cross-functional coordination skills - Must reside within the DC, Maryland, or Northern Virginia footprint - Willingness to support frequent job site visits and on-site work Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The base salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, and other factors permitted by law. In addition to base salary, the role includes eligibility for bonus incentives, a comprehensive benefits package, and a company 401(k) match.", "summaryDescription" : "Utility Project Manager - Electric Distribution at CARIAN. Skills: Electric distribution, Project management, Utility capital programs. Lead delivery of electric distribution projects. Manage scope, schedule, budget, and risk", "createdAt" : "2026-06-14T04:00:02.771", "lastUpdated" : "2026-06-15T09:46:08.744", "ingestTimestamp" : "2026-06-14T04:00:02.771", "mongoId" : "6a2c772974d8ee00a093be40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project delivery", "Scope management", "Schedule management", "Budget management", "Risk management", "Electric distribution", "Project management", "Utility capital programs", "Stakeholder management", "Cross-functional coordination", "PMP", "Program management", "Power sector", "PMP certification" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b7a74d8ee00a0949ccf", "title" : "Project Engineer - Degreed (Mechanical, Electrical, or Civil)", "company" : "Absher Construction", "salary" : { "min" : 70500.0, "max" : 91500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Project Engineer in Western Washington, adjusted for the construction industry and company size." }, "location" : "Western Washington", "locations" : [ "Western Washington" ], "timestamp" : "2026-06-15T07:22:59.952", "fingerprint" : "1d8486d16b394a12561c0ecd5f731e82d28a66001122d7b9e195ac0828c7a83a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/absherconstruction/jobs/4212016009", "externalId" : "4212016009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Washington", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Washington, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "professionalSkills" : [ "Project planning", "Contract management", "Submittal management", "RFI management", "Change order management", "Material procurement", "Budget management", "Cost tracking" ], "hardSkillsList" : [ "Engineering compliance", "Construction compliance" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Engineering compliance", "level" : "intermediate" }, { "name" : "Construction compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Project delivery, Construction management", "majorSkillsList" : [ "Project delivery", "Construction management" ], "coreResponsibilities" : "Coordinate project planning, Coordinate project integration, Coordinate project completion, Prepare contracts, Manage contracts, Prepare submittals, Manage submittals, Prepare RFIs, Manage RFIs, Prepare change orders, Manage change orders, Prepare material procurement, Manage material procurement, Lead on-site engineering activities, Maintain liaison with design teams, Maintain liaison with clients, Attend project meetings, Support owner meetings, Prepare project status reports, Prepare closeout documentation, Review design documents, Monitor technical progress, Monitor testing, Resolve design issues, Resolve construction issues, Track costs, Manage costs, Promote site safety, Support site safety", "teamCollaboration" : "Partner with Project Manager; Partner with Superintendent; Liaison with design teams; Liaison with clients", "projectManagementSkills" : [ "Project management tools" ], "domainKnowledge" : "Construction processes; Construction documentation; Construction safety standards", "domainList" : [ "construction-processes", "construction-documentation", "construction-safety-standards" ], "domainSpecificKnowledge" : [ "Construction processes", "Construction documentation", "Construction safety standards" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Closeout documentation", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Ensure quality project delivery", "qualificationsBasic" : "1–3 years construction experience, Read and interpret plans, Interpret specs and submittals, Written communication skills, Verbal communication skills", "qualificationsPreferred" : "Bachelor's in Mechanical Engineering, Bachelor's in Electrical Engineering, Construction certificate program, Solid understanding of construction processes, Solid understanding of documentation, Solid understanding of safety standards, Tech-savvy, Comfortable with scheduling tools, Comfortable with project management tools, Organized, Dependable, Comfortable handling confidential information", "workSiteFlexibility" : "Onsite", "rawDescription" : "Celebrating 85 Years of Building With Purpose At Absher Construction, we’re proud to celebrate over 85 years as one of the Pacific Northwest’s most respected general contractors. As a 100% employee-owned company, we believe our people are our greatest asset and we invest in them like it! From fully paid medical premiums for employees, to a generous PTO policy, 401(k) and ESOP retirement benefits, we offer a total rewards package that reflects the pride and ownership we bring to every project. As a Project Engineer, you’ll support field and office operations by partnering with the Project Manager and Superintendent to ensure quality project delivery. This role offers hands-on responsibility with a clear path for growth into future leadership. You’ll help manage daily coordination, documentation, budgeting, compliance, and communication from project start-up through closeout. What You’ll Do Coordinate project planning, integration, and completion of assigned scopes Prepare and manage contracts, submittals, RFIs, change orders, and material procurement Lead on-site engineering activities and maintain liaison with design teams and clients Attend project meetings and support owner meetings with project management Assist in preparing project status reports and closeout documentation Review design documents for compliance with engineering and contract requirements Monitor technical progress, testing, and resolution of design and construction issues Track and manage costs to ensure alignment with project budgets Promote and support site safety efforts through personal actions and team mentorship Why You’ll Be Successful You’re curious, detail-oriented, and a strong team player. You love solving problems, building relationships, and taking initiative in a fast-paced environment. Preferred Qualifications: Bachelor’s degree in Mechanical Engineering or Electrical Engineering or related field or construction certificate program 1–3 years of relevant construction experience Solid understanding of construction processes, documentation, and safety standards Tech-savvy and comfortable with scheduling and project management tools Able to read and interpret plans, specs, and submittals Organized, dependable, and comfortable handling confidential information Strong written and verbal communication skills Excellent time management and accountability for meeting deadlines Absher is a Federal Contractor. All job offers are contingent upon successful completion of a background check, degree verification and drug screen. Salary offers are typically made between the entry and midpoint of the range and are based on factors such as experience, education, and internal equity. Pay Transparency $80,000—$110,000 USD Background Check & Pre-Employment Screening All offers of employment are contingent upon successful completion of a pre-employment background check and drug screening. Background checks may include verification of employment history, education, criminal records, and references. For positions with access to company financial accounts or credit card programs, a credit history check may also be conducted. All screening is conducted in compliance with the Fair Credit Reporting Act (FCRA) and applicable state and local laws. Candidates will be asked to provide written consent prior to any screening. If results include information that may affect a hiring decision, candidates will have the opportunity to review and respond to the findings before a final decision is made. Absher Construction is an equal opportunity employer. Background check results are evaluated in context and do not automatically disqualify applicants. Absher’s Commitment: Our Pledge to EEOC At Absher, we are committed to building a culture where everyone can thrive. We welcome diverse voices, perspectives, and experiences and we believe our work is stronger because of them. No employee or applicant will face discrimination based on race, color, national origin, religion, age, gender identity, sexual orientation, disability, veteran status, or any other protected class. Notice to Staffing Agencies Please note: We are not accepting unsolicited resumes or inquiries from staffing agencies at this time. Absher employees are not authorized to bind the company to any third-party recruitment agreements.", "summaryDescription" : "Project Engineer - Degreed (Mechanical, Electrical, or Civil) at Absher Construction. Skills: Project delivery, Construction management. Coordinate project planning. Coordinate project integration", "postedDate" : "2026-06-13T20:26:14.135", "createdAt" : "2026-06-13T20:26:14.135", "lastUpdated" : "2026-06-15T07:22:59.952", "ingestTimestamp" : "2026-06-13T20:26:14.135", "mongoId" : "6a2c7b7a74d8ee00a0949ccf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70500, "salaryAnnualMax" : 91500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Engineering compliance", "Construction compliance", "Leadership", "Mentoring", "Critical thinking", "Project delivery", "Construction management", "Project planning", "Contract management", "Submittal management", "RFI management", "Change order management", "Material procurement", "Budget management", "Cost tracking", "Project management tools", "Construction processes", "Construction documentation", "Construction safety standards" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f042beec4dd3d933fe0", "title" : "Software Engineer, Electric Utility Grid", "company" : "Amazon Web Services, Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:18:48.087", "fingerprint" : "5ed4928889eb1d9589e5e7a22eb7407d7fe30757d3c87e3d22499480f811f2f7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382656/apply", "externalId" : "316320bf-ef87-42ae-acca-f398e74a711c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, C++, C#", "professionalSkills" : [ "System design", "Software architecture", "Code reviews", "Source control management", "Continuous deployments", "Operational excellence" ], "hardSkillsList" : [ "Object-oriented design" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" } ], "majorSkills" : "AI solutions, Grid planning, Grid operations, Interconnections", "majorSkillsList" : [ "AI solutions", "Grid planning", "Grid operations", "Interconnections" ], "coreResponsibilities" : "Collaborate with Amazonians, Conceive innovative products, Design innovative products, Bring products to market, Design innovative technologies, Build innovative technologies, Run predictions on distributed systems, Build distributed storage systems, Build distributed index systems, Build distributed query systems, Design solutions, Code solutions, Work in agile environment, Deliver high-quality software", "teamCollaboration" : "Cross-disciplinary teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Grid planning; Grid operations; Interconnections; Distributed systems; Cloud computing", "domainList" : [ "grid-planning", "grid-operations", "interconnections", "distributed-systems", "cloud-computing" ], "domainSpecificKnowledge" : [ "Grid planning", "Grid operations", "Interconnections", "Distributed systems", "Cloud computing" ], "communicationSkills" : "Technical concepts", "innovationCreativity" : "Innovative products; Innovative services; Innovative technologies", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Reduce grid connection study timelines; Process multiple interconnection requests; Run more grid scenarios", "qualificationsBasic" : "2+ years software development experience, Experience programming Java, C++, or C#", "qualificationsPreferred" : "Bachelor's degree in computer science, Knowledge of software engineering best practices, Experience communicating technical concepts, Experience handling ambiguous challenges", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the AWS Energy team and help revolutionize the utility industry through advanced AI solutions that transform how utilities manage grid planning, operations, and interconnections during an era of unprecedented electricity demand and renewable energy transition. You'll work on breakthrough technology that dramatically reduces grid connection study timelines, enables utilities to process multiple interconnection requests simultaneously, and runs significantly more grid scenarios than traditional methods—directly addressing the industry's massive interconnection backlog representing hundreds of billions in delayed infrastructure investments. Our AI-driven workflows replace static, sequential engineering processes with dynamic, parallel processing capabilities that integrate with industry-standard tools, serving hundreds of transmission and distribution utilities globally as they meet growing electricity demands from data centers, electric vehicles, and renewable energy sources while improving grid reliability and accelerating revenue-producing projects. Key job responsibilities - Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. - Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. - Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. - Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. - Design and code the right solutions starting with broadly defined problems. - Work in an agile environment to deliver high-quality software. About the team AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner. Basic Qualifications: - 2+ years of non-internship professional software development experience - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Preferred Qualifications: - Bachelor's degree in computer science or equivalent - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience communicating technical concepts and processes using clear, simple language and visuals - Experience handling ambiguous or undefined challenges through strong problem solving abilities 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 - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Engineer, Electric Utility Grid at Amazon Web Services, Inc.. Skills: AI solutions, Grid planning, Grid operations, Interconnections. Collaborate with Amazonians. Conceive innovative products", "postedDate" : "2026-06-13T07:12:45.162", "createdAt" : "2026-06-13T07:12:45.162", "lastUpdated" : "2026-06-15T02:18:48.087", "ingestTimestamp" : "2026-06-13T07:12:45.162", "mongoId" : "69cf3f042beec4dd3d933fe0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382656/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Object-oriented design", "AI solutions", "Grid planning", "Grid operations", "Interconnections", "System design", "Software architecture", "Code reviews", "Source control management", "Continuous deployments", "Operational excellence", "Agile", "Distributed systems", "Cloud computing" ], "skillCount" : 14, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Electric Utility" }, { "id" : "69c94a7f9bc74574cbbb48ca", "title" : "Product Lifecycle Mechanical Engineer, DCE - Mechanical Products & Services (MPS)", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 80000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T01:24:28.256", "fingerprint" : "185cd0d3fcec0dd74de29001e1febf9fa231e99860ec1dd0229df2056eda1d56", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199697/apply", "externalId" : "73aadc77-622c-4211-a8e3-ff403261e454", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Mechanical Engineering, Mechanical Systems", "professionalSkills" : [ "Product Lifecycle Engineering", "Manufacturing experience", "Mechanical equipment specifications", "Root cause analysis", "Continuous improvement" ], "hardSkillsList" : [ "Mechanical design", "Product development", "Manufacturing processes", "Failure mode analysis", "Troubleshooting support" ], "softSkillsList" : [ "Engineering judgement", "Leadership" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Product development", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Failure mode analysis", "level" : "intermediate" }, { "name" : "Troubleshooting support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Engineering judgement" }, { "name" : "Leadership" } ], "majorSkills" : "Mechanical Cooling, Product Lifecycle, Data Center Engineering", "majorSkillsList" : [ "Mechanical Cooling", "Product Lifecycle", "Data Center Engineering" ], "coreResponsibilities" : "Provide Mechanical infrastructure support, Collaborate with product development team, Gain deep understanding of products, Have engineering ownership of product, Be a global engineering resource, Review, update, and approve submittals, Work with global suppliers and manufacturers, Build trust with stakeholders, Work on concurrent projects, Understand and explain complex systems, Support Operations, Perform failure mode analysis, Perform root cause analysis, Provide maintenance support, Provide troubleshooting support, Review operating procedures, Listen to customer voice, Identify product improvements, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Cross-functional teams; Internal partner teams; Design teams; Contract manufacturer", "projectManagementSkills" : [ "Project experience" ], "domainKnowledge" : "Mission critical facilities; Data centers; Mechanical Cooling; Mechanical Controls; Cloud infrastructure", "domainList" : [ "mission-critical-facilities", "data-centers", "mechanical-cooling", "mechanical-controls", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Mission critical facilities", "Data centers", "Mechanical Cooling", "Mechanical Controls", "Cloud infrastructure" ], "communicationSkills" : "Explain complex systems", "documentationSkills" : "Operating procedure review; Construction drawings; Specifications; Submittal documents", "continuousLearning" : "Knowledge sharing; Mentorship; Career growth", "innovationCreativity" : "Rapid innovation; Bold ideas; New concepts", "problemSolvingSkills" : "Challenging technology problems; Failure mode analysis; Root cause analysis; Troubleshooting", "specialRequirements" : "Intermittent travel (30%), Domestic travel, International travel", "outcomesObjectives" : "Provide operational benefits; Provide financial benefits; Enable AWS services revolution; Improve product reliability; Improve product availability; Drive business improvement initiatives", "qualificationsBasic" : "4+ years industrial or commercial engineering, Bachelor's degree in Mechanical Engineering, 5+ years cooling systems experience, Experience developing validation/testing requirements, Experience with specifications and product standards, Training/educating others on technical products", "qualificationsPreferred" : "Experience with building codes, Experience carrying design concepts through deployment, Experience reading construction drawings, 5+ years developing Mechanical Cooling Products, Hands-on experience troubleshooting mechanical components", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Within AIS and Data Center Engineering, the Mechanical Solutions team is driving rapid innovation in Mechanical Cooling and Controls systems used by AWS. Our designs are fundamentally changing the Data Center, providing operational and financial benefits that are critical to the success of the AWS business, and its millions of customers. Our engineers solve challenging technology problems and take big bets on new concepts enabling AWS services to continue to revolutionize the industry. This role provides the opportunity to engage with and lead the Sustaining or Product Lifecycle Engineering aspect for these advanced cloud infrastructure solutions and the exceptional people that develop them. AWS is seeking a Mechanical Engineer to be part of a global engineering team responsible for ownership and continuous improvement related to Mechanical (Cooling) infrastructure products within our rapidly expanding data center footprint. We are looking for engineers with hands on Mechanical and Manufacturing experience of Mechanical (Cooling) products. If you have experience leading product design of Mechanical products, have an understanding of Mechanical Systems, and know how products should be manufactured to ensure quality you may be a good fit. You should be capable of understanding detailed Mechanical equipment specifications and evaluating the merit and risks of design changes. As a Global Amazon Product Lifecycle Engineer, you will provide Mechanical infrastructure support to AWS data centers. You will collaborate with the product development team to gain deep understanding of all facets of each product as they are being developed and tested, and then have engineering ownership of the product through its operational life. You will be a global ‘go-to’ engineering resource for Mechanical AWS products deployed in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. Key job responsibilities • Possess strong engineering judgement and ability to provide recommendations despite uncertainty • Are detail and data oriented • Have experience in Mechanical Engineering and/or Mechanical Products • Review, update, and approve equipment submittals • Work with global mechanical equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! A day in the life Our MPS Product Lifecycle Engineers (PLE) work closely with key partners to innovate, create, manage, and support the end to end life sustaining of AWS Mechanical products. This team will collaborate with internal partner teams to ensure the product performs as intended per design and leads remediation efforts when it does not. The MS PLE team is responsible for product sustaining at Scale Readiness and working with internal teams to identify design issues then remediate by working with necessary design teams, the design vendor and/or the contract manufacturer (when applicable). About the team The Mechanical Products & Services team provides engineering expertise and design and product lifecycle support for mechanical equipment in data centers globally. This includes support for new products and design features that address the mechanical cooling systems included in data center deployments. We own and support mechanical products throughout their lifecycle. Our scope also includes emergent global scale remediation strategic efforts that impact Data Center capacity or availability and introducing and driving business improvement initiatives increasing visibility and enabling data driven decision making. 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: - 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Mechanical Engineering - 5+ years of project experience with cooling systems or components - Experience working on/developing validation/testing requirements - Experience working with specifications and product standards. training/educating others on technical products and certs Preferred Qualifications: - Experience with building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - 5+ years of experience developing Mechanical and/or Mechanical Cooling Products and launching them into production - Hands-on experience trouble-shooting mechanical 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, VA, Herndon - 116,800.00 - 160,000.00 USD annually", "summaryDescription" : "Product Lifecycle Mechanical Engineer, DCE - Mechanical Products & Services (MPS) at Amazon Data Services, Inc.. Skills: Mechanical Cooling, Product Lifecycle, Data Center Engineering. Provide Mechanical infrastructure support. Collaborate with product development team", "postedDate" : "2026-06-13T02:27:20.029", "createdAt" : "2026-06-13T02:27:20.029", "lastUpdated" : "2026-06-15T01:24:28.256", "ingestTimestamp" : "2026-06-13T02:27:20.029", "mongoId" : "69c94a7f9bc74574cbbb48ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199697/apply", "salaryAnnualMin" : 80000, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Product development", "Manufacturing processes", "Failure mode analysis", "Troubleshooting support", "Engineering judgement", "Leadership", "Mechanical Cooling", "Product Lifecycle", "Data Center Engineering", "Product Lifecycle Engineering", "Manufacturing experience", "Mechanical equipment specifications", "Root cause analysis", "Continuous improvement", "Project experience", "Mission critical facilities", "Data centers", "Mechanical Controls", "Cloud infrastructure" ], "skillCount" : 20, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "68b706987fc9a711f0f6fe2f", "title" : "Applied Scientist, US Prime and Marketing", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, north america stores", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:57:24.578", "fingerprint" : "0725980972f997ee684c12fdd529b76c603ee927ff94d378f2b3f63d6786854f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052160/apply", "externalId" : "f5173650-554c-46b8-9c58-ba18c25f182c", "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" : "PhD", "technicalSkills" : "Python, Java, C++, MxNet, Tensor Flow", "professionalSkills" : [ "Business understanding", "Technical savvy", "Algorithm design", "Model structure", "Efficiency", "Extensibility" ], "hardSkillsList" : [ "Machine learning", "Statistical models", "Data mining", "Deep learning" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical models", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Statistical models, Data science", "majorSkillsList" : [ "Machine learning", "Statistical models", "Data science" ], "coreResponsibilities" : "Create critical services, Build critical services, Generate personalized product recommendations, Leverage machine-learning models, Leverage statistical models, Identify actionable opportunities, Solve business problems, Design data-driven solutions, Develop data-driven solutions, Test data-driven solutions, Deploy data-driven solutions, Design machine learning solutions, Develop machine learning solutions, Test machine learning solutions, Deploy machine learning solutions, Set standard for scientific excellence, Make decisions on algorithms, Decompose complex problems", "teamCollaboration" : "Interface between engineering teams; Interface with business stakeholders", "domainKnowledge" : "Product recommendation", "domainList" : [ "product-recommendation" ], "domainSpecificKnowledge" : [ "Product recommendation" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical problem solvers; Dive into data", "qualificationsBasic" : "PhD in math/statistics/engineering or other equivalent quantitative discipline, Experience programming or scripting language like Python, Java, C or C++, Experience with popular deep learning frameworks such as MxNet and Tensor Flow", "qualificationsPreferred" : "Experience in solving business problems through machine learning, data mining and statistical algorithms, Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help customers discover the hottest and best reviewed products? The Discovery Tech organization helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences. You will join the Recommendations team, and will be responsible for creating and building critical services that automatically generate, in real time, personalized product recommendations presented to Amazon customers worldwide. You will leverage machine-learning and statistical models to deliver the best possible shopping experience. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation. As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. To know more about Amazon science, please visit https://www.amazon.science Basic Qualifications: - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience programming or scripting language like Python, Java, C or C++ - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Preferred Qualifications: - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, US Prime and Marketing at Amazon.com Services LLC. Skills: Machine learning, Statistical models, Data science. Create critical services. Build critical services", "postedDate" : "2026-06-13T15:06:58.374", "createdAt" : "2026-06-13T15:06:58.374", "lastUpdated" : "2026-06-15T07:57:24.578", "ingestTimestamp" : "2026-06-13T15:06:58.374", "mongoId" : "68b706987fc9a711f0f6fe2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052160/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Statistical models", "Data mining", "Deep learning", "Data science", "Business understanding", "Technical savvy", "Algorithm design", "Model structure", "Efficiency", "Extensibility", "Product recommendation" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e1043e2beec4dd3def229f", "title" : "Senior Product Lifecycle Mechanical Engineer, Data Center Mechanical Products & Services", "company" : "Amazon Data Services, Inc.", "industry" : "Design, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T02:22:53.702", "fingerprint" : "c37fdfcd228f9223c66162906877e95e6523af7f84f8d98af8560a71298b30ce", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387963/apply", "externalId" : "7543bbfd-3afc-4159-94e5-b9e6e7a30982", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Liquid cooling", "professionalSkills" : [ "Cooling product design", "Quality manufacturing practices", "Equipment specifications", "Piping systems", "Pumping systems", "Air handler systems", "Design change implications", "Failure mode analysis", "Root cause analysis", "Operating procedure review" ], "hardSkillsList" : [ "Mechanical engineering", "Manufacturing experience", "Cooling principles", "Piping systems", "Pumping systems", "Air handler systems" ], "softSkillsList" : [ "Engineering judgement", "Listen to customer" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Manufacturing experience", "level" : "intermediate" }, { "name" : "Cooling principles", "level" : "intermediate" }, { "name" : "Piping systems", "level" : "intermediate" }, { "name" : "Pumping systems", "level" : "intermediate" }, { "name" : "Air handler systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Engineering judgement" }, { "name" : "Listen to customer" } ], "majorSkills" : "Data center mechanical, Liquid cooling infrastructure, Product lifecycle engineering", "majorSkillsList" : [ "Data center mechanical", "Liquid cooling infrastructure", "Product lifecycle engineering" ], "coreResponsibilities" : "Support data centers' liquid cooling infrastructure, Understand products during development, Maintain engineering ownership, Serve as global engineering resource, Provide recommendations despite uncertainty, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with suppliers, Work with manufacturers, Build trust with stakeholders, Work on concurrent projects, Explain complex systems, Support Operations, Perform failure mode analysis, Perform root cause analysis, Support maintenance, Support troubleshooting, Review operating procedures, Understand customer improvements, Increase product reliability, Increase product availability, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Product development teams; Global liquid cooling suppliers; Global manufacturers; Reliability teams; Operations teams; Design teams; Compliance teams", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Data center cooling; Liquid cooling products; Mission critical facilities; Cloud infrastructure", "domainList" : [ "data-center-cooling", "liquid-cooling-products", "mission-critical-facilities", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Data center cooling", "Liquid cooling products", "Mission critical facilities", "Cloud infrastructure" ], "communicationSkills" : "Explain complex systems", "documentationSkills" : "Equipment specifications; Operating procedure review", "continuousLearning" : "Continuous improvement", "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "30% travel", "outcomesObjectives" : "Increase product reliability; Increase product availability", "qualificationsBasic" : "6+ years data center design experience, Bachelor's degree in Engineering, 6+ years industrial or commercial engineering experience, Knowledge of critical data center mechanical and electrical equipment, Experience in data center design, Experience in industrial or commercial engineering, Experience researching new designs", "qualificationsPreferred" : "Professional Engineering or Architectural License, Knowledge of building codes, Experience carrying design concepts through deployment, Experience reading construction drawings, Experience interpreting specifications, Experience creating submittal documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking a mechanical engineer to be part of a global engineering team responsible for ownership and continuous improvement related to data center liquid cooling infrastructure products within our rapidly expanding data center footprint. We seek engineers with hands-on mechanical and manufacturing experience in liquid cooling products. Experience leading cooling product design, understanding cooling principles, and knowledge of quality manufacturing practices is essential. You should comprehend detailed equipment specifications, piping systems, pumping systems, air handler systems and evaluate design change implications. As a Global Amazon Product Lifecycle Engineer, you'll support AWS data centers' liquid cooling infrastructure. You'll work with product development teams to understand products during development and testing, maintaining engineering ownership throughout operational life. You'll serve as the global engineering resource for liquid cooling AWS infrastructure in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. Some travel will be domestic, but international travel will be necessary. Key job responsibilities Key job responsibilities • Possess strong engineering judgement and are able to provide recommendations despite uncertainty • Are detail and data oriented • Have experience engineering air handling, piping and/or pumping products • Review, update, and approve equipment submittals • Work with global liquid cooling equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. #DCE_P&S Basic Qualifications: - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications: - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents 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, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Senior Product Lifecycle Mechanical Engineer, Data Center Mechanical Products & Services at Amazon Data Services, Inc.. Skills: Data center mechanical, Liquid cooling infrastructure, Product lifecycle engineering. Support data centers' liquid cooling infrastructure. Understand products during development", "postedDate" : "2026-06-13T15:18:19.885", "createdAt" : "2026-06-13T15:18:19.885", "lastUpdated" : "2026-06-15T02:22:53.702", "ingestTimestamp" : "2026-06-13T15:18:19.885", "mongoId" : "69e1043e2beec4dd3def229f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387963/apply", "salaryAnnualMin" : 136600, "salaryAnnualMax" : 184800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering", "Manufacturing experience", "Cooling principles", "Piping systems", "Pumping systems", "Air handler systems", "Engineering judgement", "Listen to customer", "Data center mechanical", "Liquid cooling infrastructure", "Product lifecycle engineering", "Cooling product design", "Quality manufacturing practices", "Equipment specifications", "Design change implications", "Failure mode analysis", "Root cause analysis", "Operating procedure review", "Concurrent projects", "Data center cooling", "Liquid cooling products", "Mission critical facilities", "Cloud infrastructure" ], "skillCount" : 23, "jobCategory" : "design", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68b706987fc9a711f0f6fe2e", "title" : "Applied Scientist, US Prime and Marketing", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, north america stores", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:09:15.858", "fingerprint" : "a866e412700fca21d5726177edb8245c8c51617952504ffad94c7db1c7aecc80", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052150/apply", "externalId" : "57be3bee-7951-4dcf-a5de-e3718cfaa89f", "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" : "PhD", "technicalSkills" : "Python, Java, C++, MxNet, Tensor Flow", "professionalSkills" : [ "Business understanding", "Technical savvy", "Algorithm design", "Model structure", "Efficiency", "Extensibility" ], "hardSkillsList" : [ "Machine learning", "Statistical models", "Data mining", "Deep learning" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical models", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Statistical models, Data science", "majorSkillsList" : [ "Machine learning", "Statistical models", "Data science" ], "coreResponsibilities" : "Create critical services, Build critical services, Generate personalized product recommendations, Leverage machine-learning models, Leverage statistical models, Identify actionable opportunities, Solve business problems, Design data-driven solutions, Develop data-driven solutions, Test data-driven solutions, Deploy data-driven solutions, Design machine learning solutions, Develop machine learning solutions, Test machine learning solutions, Deploy machine learning solutions, Set standard for scientific excellence, Make decisions on algorithms, Decompose complex problems", "teamCollaboration" : "Interface between engineering teams; Interface with business stakeholders", "domainKnowledge" : "Product recommendation", "domainList" : [ "product-recommendation" ], "domainSpecificKnowledge" : [ "Product recommendation" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical problem solvers; Dive into data", "qualificationsBasic" : "PhD in math/statistics/engineering or other equivalent quantitative discipline, Experience programming or scripting language like Python, Java, C or C++, Experience with popular deep learning frameworks such as MxNet and Tensor Flow", "qualificationsPreferred" : "Experience in solving business problems through machine learning, data mining and statistical algorithms, Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help customers discover the hottest and best reviewed products? The Discovery Tech organization helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences. You will join the Recommendations team, and will be responsible for creating and building critical services that automatically generate, in real time, personalized product recommendations presented to Amazon customers worldwide. You will leverage machine-learning and statistical models to deliver the best possible shopping experience. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation. As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. To know more about Amazon science, please visit https://www.amazon.science Basic Qualifications: - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience programming or scripting language like Python, Java, C or C++ - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Preferred Qualifications: - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, US Prime and Marketing at Amazon.com Services LLC. Skills: Machine learning, Statistical models, Data science. Create critical services. Build critical services", "postedDate" : "2026-06-13T08:26:10.157", "createdAt" : "2026-06-13T08:26:10.157", "lastUpdated" : "2026-06-15T03:09:15.858", "ingestTimestamp" : "2026-06-13T08:26:10.157", "mongoId" : "68b706987fc9a711f0f6fe2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052150/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Statistical models", "Data mining", "Deep learning", "Data science", "Business understanding", "Technical savvy", "Algorithm design", "Model structure", "Efficiency", "Extensibility", "Product recommendation" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176e474d8ee00a0c1b3bd", "title" : "Sr. Product Lifecycle Mechanical Engineer, DCE - Mechanical Products & Services (MPS)", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T04:36:10.424", "fingerprint" : "8ead8659ef878e1b5e2c3fc104a70072f916d3484262951721188f22e8dbe91a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437489/apply", "externalId" : "b8c538ae-22a8-4d32-80b9-1fd5b80e6989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical Engineering, Mechanical Products, Mechanical Cooling, Mechanical Systems", "professionalSkills" : [ "Product Lifecycle Engineering", "Manufacturing experience", "Equipment specifications", "Design changes", "Root cause analysis", "Continuous improvement" ], "hardSkillsList" : [ "Mechanical design", "Product design", "Manufacturing processes", "Failure mode analysis", "Troubleshooting support", "Operating procedure review" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Product design", "level" : "intermediate" }, { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Failure mode analysis", "level" : "intermediate" }, { "name" : "Troubleshooting support", "level" : "intermediate" }, { "name" : "Operating procedure review", "level" : "intermediate" } ], "majorSkills" : "Product Lifecycle Management, Mechanical Cooling, Data Center Engineering", "majorSkillsList" : [ "Product Lifecycle Management", "Mechanical Cooling", "Data Center Engineering" ], "coreResponsibilities" : "Provide Mechanical infrastructure support, Collaborate with product development team, Gain deep understanding of product facets, Have engineering ownership of product, Be a global engineering resource, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with global mechanical equipment suppliers, Work with global mechanical equipment manufacturers, Build trust with stakeholders, Build relationships with stakeholders, Work on concurrent projects, Work in multiple geographic zones, Understand complex systems, Explain complex systems, Support Operations, Perform failure mode analysis, Perform root cause analysis, Provide maintenance support, Provide troubleshooting support, Review operating procedures, Listen to voice of customer, Understand product improvements, Increase product reliability, Increase product availability, Design product improvements, Oversee root cause analysis, Contribute to global body of knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Cross-functional teams; Internal partner teams; Design teams; Contract manufacturer; Global supplier; Global manufacturers", "projectManagementSkills" : [ "Product Lifecycle Management" ], "domainKnowledge" : "Data center infrastructure; Mechanical Cooling systems; Mechanical Controls systems; Cloud infrastructure solutions", "domainList" : [ "data-center-infrastructure", "mechanical-cooling-systems", "mechanical-controls-systems", "cloud-infrastructure-solutions" ], "domainSpecificKnowledge" : [ "Data center infrastructure", "Mechanical Cooling systems", "Mechanical Controls systems", "Cloud infrastructure solutions" ], "communicationSkills" : "Explain complex systems", "continuousLearning" : "Knowledge sharing; Mentorship; Career-advancing resources", "innovationCreativity" : "Rapid innovation; Drive rapid innovation; Lead rapid innovation; Bold ideas", "problemSolvingSkills" : "Engineering judgement; Provide recommendations; Failure mode analysis; Root cause analysis; Troubleshooting", "specialRequirements" : "Intermittent travel, 30% travel", "outcomesObjectives" : "Provide operational benefits; Provide financial benefits; Increase product reliability; Increase product availability; Drive continuous improvement", "qualificationsBasic" : "Bachelor's degree in mechanical engineering, Knowledge of critical data center mechanical and electrical equipment, Hands-on experience troubleshooting mechanical components and systems, 8+ years developing Mechanical Products, 8+ years launching Mechanical Products into production, 8+ years project experience with cooling systems, 8+ years project experience with cooling components, Experience with Product Lifecycle Management, Experience with related systems", "qualificationsPreferred" : "Experience carrying design concepts through exploration, Experience carrying design concepts through development, Experience carrying design concepts into deployment, Experience carrying design concepts into mass production, Experience researching new designs, Experience researching new technologies, Experience researching new construction methods, Ability to design for manufacturability, Ability to create assembly specifications, Ability to work with contract manufacturers, Ability to work with OEMs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Within AIS and Data Center Engineering, the Mechanical Solutions team is driving rapid innovation in Mechanical Cooling and Controls systems used by AWS. Our designs are fundamentally changing the Data Center, providing operational and financial benefits that are critical to the success of the AWS business, and its millions of customers. Our engineers solve challenging technology problems and take big bets on new concepts enabling AWS services to continue to revolutionize the industry. This role provides the opportunity to engage with and lead the Sustaining or Product Lifecycle Engineering aspect for these advanced cloud infrastructure solutions and the exceptional people that develop them. AWS is seeking a Mechanical Engineer to be part of a global engineering team responsible for ownership and continuous improvement related to Mechanical (Cooling) infrastructure products within our rapidly expanding data center footprint. We are looking for engineers with hands on Mechanical and Manufacturing experience of Mechanical (Cooling) products. If you have experience leading product design of Mechanical products, have an understanding of Mechanical Systems, and know how products should be manufactured to ensure quality you may be a good fit. You should be capable of understanding detailed Mechanical equipment specifications and evaluating the merit and risks of design changes. As a Global Amazon Product Lifecycle Engineer, you will provide Mechanical infrastructure support to AWS data centers. You will collaborate with the product development team to gain deep understanding of all facets of each product as they are being developed and tested, and then have engineering ownership of the product through its operational life. You will be a global ‘go-to’ engineering resource for Mechanical AWS products deployed in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. Key job responsibilities • Possess strong engineering judgement and ability to provide recommendations despite uncertainty • Are detail and data oriented • Have experience in Mechanical Engineering and/or Mechanical Products • Review, update, and approve equipment submittals • Work with global mechanical equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! A day in the life Our MPS Product Lifecycle Engineers (PLE) work closely with key partners to innovate, create, manage, and support the end to end life sustaining of AWS Mechanical products. This team will collaborate with internal partner teams to ensure the product performs as intended per design and leads remediation efforts when it does not. The MS PLE team is responsible for product sustaining at Scale Readiness and working with internal teams to identify design issues then remediate by working with necessary design teams, the design vendor and/or the contract manufacturer (when applicable). About the team The Mechanical Products & Services team provides engineering expertise and design and product lifecycle support for mechanical equipment in data centers globally. This includes support for new products and design features that address the mechanical cooling systems included in data center deployments. We own and support mechanical products throughout their lifecycle. Our scope also includes emergent global scale remediation strategic efforts that impact Data Center capacity or availability and introducing and driving business improvement initiatives increasing visibility and enabling data driven decision making. 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: - Bachelor's degree in mechanical engineering or equivalent - Knowledge of critical data center or mission critical mechanical and electrical equipment and hands-on experience trouble-shooting mechanical components and systems - 8+ years of experience developing Mechanical and/or Mechanical Cooling Products and launching them into production - 8+ years of project experience with cooling systems or components - Experience with Product Lifecycle Management and related systems Preferred Qualifications: - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience researching new designs, technologies, and construction methods of data center equipment and facilities - Ability to design for manufacturability, create assembly specifications and work with contract manufacturers and OEMs 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, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Sr. Product Lifecycle Mechanical Engineer, DCE - Mechanical Products & Services (MPS) at Amazon Data Services, Inc.. Skills: Product Lifecycle Management, Mechanical Cooling, Data Center Engineering. Provide Mechanical infrastructure support. Collaborate with product development team", "postedDate" : "2026-06-13T11:14:18.157", "createdAt" : "2026-06-13T11:14:18.157", "lastUpdated" : "2026-06-15T04:36:10.424", "ingestTimestamp" : "2026-06-13T11:14:18.157", "mongoId" : "6a2176e474d8ee00a0c1b3bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437489/apply", "salaryAnnualMin" : 136600, "salaryAnnualMax" : 184800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Product design", "Manufacturing processes", "Failure mode analysis", "Troubleshooting support", "Operating procedure review", "Product Lifecycle Management", "Mechanical Cooling", "Data Center Engineering", "Product Lifecycle Engineering", "Manufacturing experience", "Equipment specifications", "Design changes", "Root cause analysis", "Continuous improvement", "Data center infrastructure", "Mechanical Cooling systems", "Mechanical Controls systems", "Cloud infrastructure solutions" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "69c94a739bc74574cbbb3cc1", "title" : "Sr. Product Lifecycle Mechanical Engineer, DCE - Mechanical Products & Services (MPS)", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 136600.0, "max" : 184800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-14T23:49:16.039", "fingerprint" : "2a490ed7617414b1b8fdef23fa281b4937966198e50dd876cc4c4c735a07ce4b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199692/apply", "externalId" : "e38ab94b-aa34-4ca2-8577-01f7f797b405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical Engineering, Mechanical Products, Mechanical Cooling", "professionalSkills" : [ "Product Lifecycle Engineering", "Manufacturing experience", "Mechanical Systems", "Equipment specifications", "Root cause analysis", "Continuous improvement" ], "hardSkillsList" : [ "Mechanical design", "Product manufacturing", "System troubleshooting" ], "hardSkills" : [ { "name" : "Mechanical design", "level" : "intermediate" }, { "name" : "Product manufacturing", "level" : "intermediate" }, { "name" : "System troubleshooting", "level" : "intermediate" } ], "majorSkills" : "Product Lifecycle Engineering, Mechanical Cooling, Data Center Infrastructure", "majorSkillsList" : [ "Product Lifecycle Engineering", "Mechanical Cooling", "Data Center Infrastructure" ], "coreResponsibilities" : "Provide Mechanical infrastructure support, Collaborate with product development team, Gain deep understanding of products, Engineering ownership of product, Global go-to engineering resource, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with global suppliers, Work with global manufacturers, Build trust with stakeholders, Work on concurrent projects, Support Operations, Perform failure mode analysis, Perform root cause analysis, Provide maintenance support, Provide troubleshooting support, Review operating procedures, Listen to customer voice, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Cross-functional teams; Internal partner teams", "domainKnowledge" : "Data center mechanical; Mechanical cooling systems; Data center infrastructure; Mission critical facilities", "domainList" : [ "data-center-mechanical", "mechanical-cooling-systems", "data-center-infrastructure", "mission-critical-facilities" ], "domainSpecificKnowledge" : [ "Data center mechanical", "Mechanical cooling systems", "Data center infrastructure", "Mission critical facilities" ], "communicationSkills" : "Explain complex systems", "documentationSkills" : "Create submittal documents", "innovationCreativity" : "Driving rapid innovation; Solve challenging technology problems; Take big bets on new concepts", "problemSolvingSkills" : "Engineering judgement; Provide recommendations; Troubleshooting support", "specialRequirements" : "Intermittent travel (30%), Domestic travel, International travel", "outcomesObjectives" : "Improve product reliability; Improve product availability; Increase business improvement initiatives", "qualificationsBasic" : "6+ years data center design experience, 6+ years industrial engineering experience, Bachelor's degree in Mechanical Engineering, 5+ years developing Mechanical Products, Knowledge of mechanical equipment, Hands-on troubleshooting mechanical components", "qualificationsPreferred" : "Experience carrying design concepts through development, Experience reading construction drawings, Experience interpreting specifications, Experience creating submittal documents, Direct experience with data center operation, 8+ years project experience with cooling systems, Experience researching new designs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Within AIS and Data Center Engineering, the Mechanical Solutions team is driving rapid innovation in Mechanical Cooling and Controls systems used by AWS. Our designs are fundamentally changing the Data Center, providing operational and financial benefits that are critical to the success of the AWS business, and its millions of customers. Our engineers solve challenging technology problems and take big bets on new concepts enabling AWS services to continue to revolutionize the industry. This role provides the opportunity to engage with and lead the Sustaining or Product Lifecycle Engineering aspect for these advanced cloud infrastructure solutions and the exceptional people that develop them. AWS is seeking a Mechanical Engineer to be part of a global engineering team responsible for ownership and continuous improvement related to Mechanical (Cooling) infrastructure products within our rapidly expanding data center footprint. We are looking for engineers with hands on Mechanical and Manufacturing experience of Mechanical (Cooling) products. If you have experience leading product design of Mechanical products, have an understanding of Mechanical Systems, and know how products should be manufactured to ensure quality you may be a good fit. You should be capable of understanding detailed Mechanical equipment specifications and evaluating the merit and risks of design changes. As a Global Amazon Product Lifecycle Engineer, you will provide Mechanical infrastructure support to AWS data centers. You will collaborate with the product development team to gain deep understanding of all facets of each product as they are being developed and tested, and then have engineering ownership of the product through its operational life. You will be a global ‘go-to’ engineering resource for Mechanical AWS products deployed in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. Key job responsibilities • Possess strong engineering judgement and ability to provide recommendations despite uncertainty • Are detail and data oriented • Have experience in Mechanical Engineering and/or Mechanical Products • Review, update, and approve equipment submittals • Work with global mechanical equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Support Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! A day in the life Our MPS Product Lifecycle Engineers (PLE) work closely with key partners to innovate, create, manage, and support the end to end life sustaining of AWS Mechanical products. This team will collaborate with internal partner teams to ensure the product performs as intended per design and leads remediation efforts when it does not. The MS PLE team is responsible for product sustaining at Scale Readiness and working with internal teams to identify design issues then remediate by working with necessary design teams, the design vendor and/or the contract manufacturer (when applicable). About the team The Mechanical Products & Services team provides engineering expertise and design and product lifecycle support for mechanical equipment in data centers globally. This includes support for new products and design features that address the mechanical cooling systems included in data center deployments. We own and support mechanical products throughout their lifecycle. Our scope also includes emergent global scale remediation strategic efforts that impact Data Center capacity or availability and introducing and driving business improvement initiatives increasing visibility and enabling data driven decision making. 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: - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree or above in Mechanical Engineering - 5+ years experience developing Mechanical and/or Mechanical Cooling Products and launching them into production - Knowledge of critical data center mechanical and electrical equipment and hands-on experience trouble-shooting mechanical components and systems Preferred Qualifications: - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Direct experience with the design or operation of data centers - 8+ years of project experience with cooling systems or components - Experience researching new designs, technologies, and construction methods of data center equipment and facilities 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, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually USA, TX, Austin - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually", "summaryDescription" : "Sr. Product Lifecycle Mechanical Engineer, DCE - Mechanical Products & Services (MPS) at Amazon Data Services, Inc.. Skills: Product Lifecycle Engineering, Mechanical Cooling, Data Center Infrastructure. Provide Mechanical infrastructure support. 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In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. We are looking for a Data Center Engineering Operations Technician to join our expanding Infrastructure Operations team. A Data Center Engineering Operations Technician role is a hands-on electrical and mechanical equipment troubleshooting and operation responder. If you like to use apply your electrical and mechanical skills to solve problems, we’d like to meet you. Your work will help to maintain one of the world's largest information system infrastructures. Key job responsibilities SAFETY Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture. ENGINEERING & FACILITY OPERATIONS AND MAINTENANCE - Operational experience and familiarity with electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS’s), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers. - Troubleshoot events within internal Service Level Agreements (SLA’s) - Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.) - Supervise contractors who perform servicing or preventive maintenance - Manual handling and lifting of equipment may be required (weight limits in accordance with health & safety regulations). - Ability to work shifts About the team 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. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture 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 & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Knowledge of key electrical competencies and theory - 3+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience - 2+ years of electrical and electronic principles experience, or NFQ Level 6/ NVQ Level 3/ SOLAS Level 6/ FETAC Level 6/ QQI Level 6 all specialized in Mechanical, Electrical or Mechatronics Preferred Qualifications: - 2+ years of data center engineering experience - Knowledge of mechanical systems (Mechanical, HVAC systems, Controls) Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae. 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" : "Engineering Technician (Electrical/ Mechanical) at Amazon Data Services South Africa (Pty) Ltd. Skills: Electrical troubleshooting, Mechanical troubleshooting, Facility operations. Follow safety standards. Encourage safety culture", "postedDate" : "2026-06-13T11:26:19.082", "createdAt" : "2026-06-13T11:26:19.082", "lastUpdated" : "2026-06-15T00:56:18.369", "ingestTimestamp" : "2026-06-13T11:26:19.082", "mongoId" : "6a2176ba74d8ee00a0c1ab3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439698/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Electrical principles", "Electronic principles", "Mechanical systems", "Electrical troubleshooting", "Mechanical troubleshooting", "Facility operations", "Equipment maintenance", "Contractor supervision", "Data center operations", "Information system infrastructure", "HVAC systems", "Controls" ], "skillCount" : 12, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a44f374d8ee00a05d0783", "title" : "Electric Meter Installer", "company" : "Bermex", "salary" : { "min" : 25.0, "max" : 25.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Wauchula, FL", "locations" : [ "Wauchula, FL", "United States of America" ], "timestamp" : "2026-06-12T22:57:04.762", "fingerprint" : "0f286a42c4d2d6addfbc10462addcb5fe1c269b8dc99155d6a7e30dac564ab92", "source" : "workday", "language" : "en", "applyUrl" : "https://acrt.wd1.myworkdayjobs.com/ACRT_Careers/job/Wauchula-FL/Electric-Meter-Installer---Wauchula--FL_R9052", "externalId" : "R9052", "locationPoint" : "27.54726,-81.81147", "structuredLocations" : [ { "city" : "Wauchula", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.5472589,-81.8114715" } ], "locationText" : "Wauchula, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Meter services", "Leak detection", "Line location", "Software service solutions", "Atmospheric corrosion" ], "hardSkillsList" : [ "Meter exchange", "Data entry" ], "softSkillsList" : [ "Flexibility", "Attention to detail" ], "hardSkills" : [ { "name" : "Meter exchange", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Flexibility" }, { "name" : "Attention to detail" } ], "majorSkills" : "Electric meter installation, Field data collection", "majorSkillsList" : [ "Electric meter installation", "Field data collection" ], "coreResponsibilities" : "Perform visual inspections of electric meters, Identify hazards at meter sites, Report hazards accordingly, Change out electric meters, Change out electric meter for AMI/AMR upgrade, Read electric meters, Enter data collected in the field, Assist on additional projects", "teamCollaboration" : "Interact with management; Interact with customers", "domainKnowledge" : "Electric meter services; Water meter services; Gas meter services; GIS systems", "domainList" : [ "electric-meter-services", "water-meter-services", "gas-meter-services", "gis-systems" ], "domainSpecificKnowledge" : [ "Electric meter services", "Water meter services", "Gas meter services", "GIS systems" ], "toolProficiency" : [ "Handheld computer" ], "communicationSkills" : "Provide general information", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Walking long distances, Prepare for weather conditions, Drug/alcohol testing required, Company vehicle provided", "qualificationsBasic" : "18 years of age or older, 1 or more years of experience in the direct exchange of electric meters, Valid driver's license", "qualificationsPreferred" : "High School Diploma or GED, 2 or more years of experience in the direct exchange of electric meters, Experience with 2S meter exchange", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Bermex, Inc. Full time Regular **About The Team** At Bermex, we put value on our customer relationships. We’re always looking for a way that we can delight our customers by going the extra mile. Bermex offers expert meter reading services and solutions to utilities and associated organizations throughout the United States, including leak detection, atmospheric corrosion, line location, software service solutions, as well as water, gas, and electric meter services. At Bermex, we are always looking for motivated individuals who enjoy working independently and love the outdoors to become a part of our team. **About the Role** The Electric Meter Installer reports to the Supervisor of Meter Services at Bermex. This positions primary role is the exchange of electric meters of varying form types. This position also requires a high degree of walking in outdoor environmental conditions, excellent time management, and exceptional flexibility day to day. ***Salary Transparency: Pay for this role is at $25/hour. *** **What You’ll Do** Electric Meter Maintenance: * Perform visual inspections of electric meters for damages * Identify hazards at meter sites and report accordingly * Properly change out electric meters of varying sizes and brands * Properly change out electric meter for AMI/AMR upgrade Electric Meter Reading: * Read electric meters * Enter data collected in the field into a handheld computer * Assist on additional projects, as necessary Customer Communication: * Refer all consumer complaints to the appropriate authorities * Provide general information about the meter services to customers, when applicable * Use telephones, tablets, and/or computers to communicate Other duties as assigned. **What You’ll Do** Must Haves: * Education: Some high school education, must be 18 years of age or older * Experience: 1 or more years of experience in the direct exchange of electric meters of varying form types. Valid driver's license is required * In lieu of meter experience, will accept comparable technical experience and skill Nice to Haves: * Education: High School Diploma or GED * Experience: 2 or more years of experience in the direct exchange of electric meters of varying form types. * Preferred to have experience with 2S meter exchange. Your Skills: * Ability to multi-task, and work independently and as a team * Exceptional flexibility in daily routines and route scheduling. Must be flexible in times of need, including extended nights and weekends. * Adequate time management skills to finish daily meter reads in a timely manner, figuring out an efficient way to read meters for that day * Excellent communication skills, comfortable interacting with management and customers * Ability to interact with unhappy or negative customers in a professional manner * Excellent attention to detail for problem solving and finding * Ability to walk long distances and prepare for weather conditions, accordingly * Proficient computer skills, including knowledge of Microsoft Office programs * Place a high value on safety, quality of work, and operational procedures * Basic knowledge of GIS systems and principles is required This role would not be a good fit if you: * Do not enjoy working independently * Do not enjoy working in outdoor conditions * Do not enjoy walking long distances * Are not flexible and do not enjoy adapting to your current work schedule or routine * Do not have adequate planning and time management skills to finish a day’s work in a timely manner Drug/Alcohol Testing: * Drug/alcohol testing is required * Drug/alcohol testing required per Non-Regulatory requirements for employees working with water, electric, and meters * Drug/alcohol testing required per Federal DOT regulations for employees working with gas meters **Benefits** Health and Safety: * Group health plans including medical/prescription, dental, vision and a variety of other coverage options * Company paid group life insurance, accidental death & dismemberment insurance, short and long term disability * Flexible Spending Accounts or an option for a Health Saving Account with company match * Company paid Employee Assistance Program (EAP) for all employees and eligible family members Retirement: * Automatic enrollment in the Employee Stock Ownership Plan (ESOP) at no cost * Roth or Traditional 401(k) Retirement plan with company match PTO Plans (after 90 completed days of service for full-time employees): * Paid Vacation * Paid Holidays * Paid Wedding Day * Veterans Day paid time off for our veterans * Paid Sick Time (New York based positions ONLY) Perks/Allowances: * Company vehicle (for all driver-based positions) * Gas card for company vehicle (if applicable) * Company provided cell phone or mobile allowance (if applicable) * Boot allowance from approved vendors * Daily per diem for travel-based positions **Where We Work** Employees will begin their day at the local office where they will pick up their company vehicle, equipment, and assignments for the day. ## We are an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at [hr@acrtinc.com](mailto:hr@acrtinc.com) and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Company: ACRT, Inc.", "summaryDescription" : "Electric Meter Installer at Bermex. Skills: Electric meter installation, Field data collection. Perform visual inspections of electric meters. Identify hazards at meter sites", "postedDate" : "2026-06-09T15:58:27.558", "createdAt" : "2026-06-11T15:58:27.486", "lastUpdated" : "2026-06-12T22:57:04.762", "ingestTimestamp" : "2026-06-11T15:58:27.486", "mongoId" : "6a2a44f374d8ee00a05d0783", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://acrt.wd1.myworkdayjobs.com/ACRT_Careers/job/Wauchula-FL/Electric-Meter-Installer---Wauchula--FL_R9052", "salaryAnnualMin" : 52000, "salaryAnnualMax" : 52000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Meter exchange", "Data entry", "Flexibility", "Attention to detail", "Electric meter installation", "Field data collection", "Meter services", "Leak detection", "Line location", "Software service solutions", "Atmospheric corrosion", "Electric meter services", "Water meter services", "Gas meter services", "GIS systems", "Handheld computer" ], "skillCount" : 16, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c817f74d8ee00a095a1d3", "title" : "Manager Product Management - Integrated OR", "company" : "Brainlab", "industry" : "Medical Device", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Product Management in Healthcare in Munich, Germany, adjusted for seniority and company size." }, "location" : "Munich, BY, Germany", "locations" : [ "Munich", "BY", "Germany" ], "timestamp" : "2026-06-15T08:23:58.400", "fingerprint" : "7bea186ae6bd1560aa88b9d4b190d88303a9a801fd5d7ce0fa866f8a18bdaa01", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Brainlab/744000131677110-manager-product-management-integrated-or", "externalId" : "744000131677110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Bavaria, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "University degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Product strategy", "Product roadmap", "Market success", "Product lifecycle management", "Pricing strategy", "Business model" ], "hardSkillsList" : [ "Product management", "Team leadership", "Stakeholder management", "User requirements gathering", "Product roadmap development", "Product launch", "Product lifecycle management", "Presentation skills", "Communication skills", "Project management", "Analytical skills", "Attention to detail" ], "hardSkills" : [ { "name" : "Product management", "level" : "intermediate" }, { "name" : "Team leadership", "level" : "intermediate" }, { "name" : "Stakeholder management", "level" : "intermediate" }, { "name" : "User requirements gathering", "level" : "intermediate" }, { "name" : "Product roadmap development", "level" : "intermediate" }, { "name" : "Product launch", "level" : "intermediate" }, { "name" : "Product lifecycle management", "level" : "intermediate" }, { "name" : "Presentation skills", "level" : "intermediate" }, { "name" : "Communication skills", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Attention to detail", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Product roadmap, Team leadership, Customer workflows", "majorSkillsList" : [ "Product strategy", "Product roadmap", "Team leadership", "Customer workflows" ], "coreResponsibilities" : "Define product vision, Articulate product strategy, Translate strategy into roadmap, Lead Product Management team, Motivate Product Management team, Foster high-performing environment, Foster collaborative environment, Understand customer workflows, Identify unmet needs, Identify growth opportunities, Identify competitive differentiators, Establish KOL relationships, Engage directly with customers, Engage with clinical users, Engage with sales teams, Provide voice-of-customer input, Provide marketing specifications, Ensure alignment customer needs, Ensure alignment technical feasibility, Ensure alignment business goals, Define article structure, Maintain pricing strategy, Monitor product performance, Create quarterly success reports", "teamCollaboration" : "Cross-functional collaboration; Cross-departmental collaboration; Collaborate with R&D; Collaborate with Sales; Collaborate with Marketing; Collaborate with Clinical stakeholders", "projectManagementSkills" : [ "Roadmap planning", "Product lifecycle management" ], "domainKnowledge" : "Integrated OR; Medical technology; Operating room workflows; Digital healthcare", "domainList" : [ "integrated-or", "medical-technology", "operating-room-workflows", "digital-healthcare" ], "domainSpecificKnowledge" : [ "Integrated OR", "Medical technology", "Operating room workflows", "Digital healthcare" ], "communicationSkills" : "Presentation skills; Communication skills", "documentationSkills" : "Marketing specifications", "continuousLearning" : "Training opportunities; Continuing education", "problemSolvingSkills" : "Analytical skills; Decisive working style", "specialRequirements" : "Willingness to travel 30%", "outcomesObjectives" : "Ensure product meets clinical needs; Support company strategy; Ensure competitive business model; Ensure profitable business model; Product performance reports", "qualificationsBasic" : "5+ years product management experience, Product management in OR environment, Product management in medical technology, Proven experience leading teams, Manage cross-functional stakeholder groups, University degree in Business Administration, University degree in Engineering, Gather user requirements, Convert requirements to product roadmap, Experience launching complex products, Manage products throughout lifecycle, Excellent presentation skills, Excellent communication skills, Excellent project management skills, Analytical working style, Structured working style, Decisive working style, High attention to detail", "qualificationsPreferred" : "Business fluency in German", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At the forefront of health technology for over 35 years, Munich-based Brainlab digitizes medical workflows, from diagnosis to therapy, to offer clinicians and patients better treatment possibilities. Our innovative digital ecosystem forms the basis for modern healthcare technology in 4000 hospitals in 120 countries. Our key to success is our creative, talented and hard-working team, which consists of around 2000 dedicated and inspiring individuals in 25 locations worldwide. To succeed in reaching our targets, we are seeking committed colleagues who can stand behind our core values curious, authentic and useful. Are you passionate about shaping the future of the digital and integrated Operating Room? We are looking for a Manager Product Management – Integrated OR to lead the strategy, roadmap, and market success of our Integrated OR portfolio. In this role, you will define the vision for our next-generation integrated OR solutions, driving seamless interoperability across hardware, software, and workflow components. You will collaborate closely with R&D, Sales, Regional Marketing, and Clinical stakeholders to ensure our products meet real-world clinical needs while supporting the company’s long-term strategy. You will lead and develop the Product Management & Marketing team for Integrated OR, ensuring high performance, strong cross-departmental collaboration, and a clear orientation toward customer value. Key responsibilities include: * Define and articulate the product vision and long-term strategy for the Integrated OR portfolio in alignment with General Management. * Translate strategy into a clear, actionable product roadmap with global relevance. * Lead and motivate the Integrated OR Product Management & Marketing team, fostering a high-performing and collaborative environment. * Gain a deep understanding of customer workflows in the operating room, to identify unmet needs, growth opportunities and competitive differentiators. * Establish strong relationships with key opinion leaders and engage directly with customers, clinical users, and sales teams in the field and at trade shows. * Provide clear, structured voice-of-the-customer input and marketing specifications for R&D. * Ensure alignment between customer needs, technical feasibility & business goals. * Define and maintain the article structure and pricing strategy, ensuring the product offers a competitive and profitable business model. * Monitor product performance and create quarterly success reports, covering orders, revenue, pipeline, profitability, and complaints. ## Qualifications * At least 5 years of product management experience in the OR environment or in comparable medical technology domains. * Proven experience in leading teams and managing cross-functional stakeholder groups. * University degree in Business Administration, Engineering, or a related field. * Strong capability to gather user requirements and convert them into a structured, viable product roadmap. * Demonstrated experience in launching complex products and managing them throughout their lifecycle. * Excellent presentation, communication, and project management skills. * Strong analytical, structured, and decisive working style with high attention to detail. * Business fluency in English; German is a strong plus. * Willingness to travel up to 30%. * Position located at our Brainlab HQ in Munich. ## Additional Information * A mutually-supportive, international team * Meaningful work with a lasting impact on medical technology * 30 vacation days, plus December 24th and December 31st * Flexible working hours as well as hybrid work model within Germany * Bike leasing via cooperation partner \"BikeLeasing\" * Parking garage and safe underground bike storage * Award-winning subsidized company restaurant and in-house cafes * Variety-rich fitness program in our ultra-modern 360m2 company gym * Regular after work, team, and company events * Comprehensive training and continuing education opportunities Ready to apply? We look forward to receiving your online application including your first available start date and desired salary. Contact person: Leonie von Leoprechting", "summaryDescription" : "Manager Product Management - Integrated OR at Brainlab. Skills: Product strategy, Product roadmap, Team leadership, Customer workflows. Define product vision. Articulate product strategy", "postedDate" : "2026-06-11T13:41:52.000", "createdAt" : "2026-06-13T13:45:29.468", "lastUpdated" : "2026-06-15T08:23:58.400", "ingestTimestamp" : "2026-06-13T13:45:29.468", "mongoId" : "6a2c817f74d8ee00a095a1d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Product management", "Team leadership", "Stakeholder management", "User requirements gathering", "Product roadmap development", "Product launch", "Product lifecycle management", "Presentation skills", "Communication skills", "Project management", "Analytical skills", "Attention to detail", "Product strategy", "Product roadmap", "Customer workflows", "Market success", "Pricing strategy", "Business model", "Roadmap planning", "Integrated OR", "Medical technology", "Operating room workflows", "Digital healthcare" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "Product Management & Marketing", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Health Technology" }, { "id" : "69e7eca02beec4dd3d832ab1", "title" : "Sr. Product Manager-Technical, Merch on Demand", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, north america stores", "salary" : { "min" : 151000.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T05:47:45.933", "fingerprint" : "00710306fe0288df9c6827937dfec3cc1103799c6d8dd09d65eb6eb5dad01b2e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382420/apply", "externalId" : "deeef5b0-a0f8-4845-9241-6a9bb8e0d96d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap execution", "Data-driven recommendations", "Product discovery", "Prioritization", "Go-to-market strategy", "Strategic direction" ], "hardSkillsList" : [ "Usability testing", "Metrics analysis", "Data analysis" ], "hardSkills" : [ { "name" : "Usability testing", "level" : "intermediate" }, { "name" : "Metrics analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Product vision, Product strategy, Product delivery", "majorSkillsList" : [ "Product vision", "Product strategy", "Product delivery" ], "coreResponsibilities" : "Define product vision, Execute product strategy, Frame stakeholder discussions, Lead assessment of opportunities, Make data-driven recommendations, Build consensus through tradeoffs, Establish business indicators, Drive product discovery, Prioritize product delivery, Explore AI solutions, Implement AI solutions, Monitor technology trends, Oversee user interface design, Oversee usability testing, Oversee customer research, Oversee metrics analysis, Oversee product launch, Manage bottlenecks, Resolve escalations, Optimize feature roadmaps, Influence strategic direction, Make smart trade-offs, Ensure product solutions delivery", "teamCollaboration" : "Cross-functional teams; Senior leaders; Engineering; Design; Data science; Business development; Strategic partnerships; Legal; Content policy; Operations", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Merchandise; Customization platforms; E-commerce innovation; Print on demand", "domainList" : [ "merchandise", "customization-platforms", "e-commerce-innovation", "print-on-demand" ], "domainSpecificKnowledge" : [ "Merchandise", "Customization platforms", "E-commerce innovation", "Print on demand" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "communicationSkills" : "Executive-level prioritization; One-pager creation", "innovationCreativity" : "Build something new; AI-driven innovation", "problemSolvingSkills" : "Tradeoff discussions; Build-vs-extend tradeoffs", "qualificationsBasic" : "Bachelor's degree, Own/drive roadmap strategy, Feature delivery and tradeoffs, Contribute to engineering discussions, Manage technical products, Represent critical customers, 2+ years end to end product delivery", "qualificationsPreferred" : "Experience using analytical tools, Customer-facing product development, Work across teams, Manage products with strategic partnerships, Use generative AI tools, Recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Merch on Demand is building a team store experience that transforms how teams get outfitted. We are looking for a Product Manager, Technical to own this product end to end: the vision, the strategy, and the delivery. We need someone who thinks beyond the first launch, who can see where this product goes next, identify new customer segments, and build a foundation that scales. You will influence across organizational boundaries, partnering with senior leaders across Merch, retail, and partner organizations to shape direction and drive decisions. You will work closely with engineering, design, data science, and business development, and your work will directly support high-profile strategic partnerships. If you want to build something new at Amazon scale with real ownership and visibility, this is the role. Key job responsibilities * Define and execute the product vision, strategy, and roadmap for our customizable product experiences, balancing short-term wins with long-term strategic goals and contributing to operational narratives * Frame and lead discussions with key stakeholders to assess opportunities, make data-driven recommendations, and build consensus through tradeoff discussions while navigating complex innovation, practicality, and risk trade-offs * Establish goals and key business indicators and drive product discovery, prioritization, and delivery in partnership with cross-functional teams * Explore and implement AI-driven solutions for design assistance, personalization recommendations, and workflow automation while working cross-functionally with designers, engineers, operations, legal, content policy, and business development * Increase insights on customer behavior and pain points while continually monitoring technology trends in AI, customization platforms, and e-commerce innovation * Oversee user interface design, usability testing, customer research, metrics and data analysis, product launch and go-to-market strategy for customization experiences * Manage bottlenecks, resolve escalations, optimize feature roadmaps, influence strategic direction, and make smart trade-offs while ensuring delivery of the right product solutions A day in the life You might start the morning reviewing product usage data to spot opportunities for improvement, then partner with design on a feature that drives adoption. By midday you're on a call with a strategic partner shaping requirements for an exciting upcoming launch, and after lunch you're making build-vs-extend tradeoffs with your engineering lead. Late afternoon you're drafting a one-pager making the case for expanding into a new customer segment, and before end of day you're collaborating with Legal to shape a policy that unlocks a better customer experience. The common thread: you're constantly moving between strategic thinking and tactical execution, influencing a cross-functional team to move in the same direction. About the team Amazon Merch on Demand offers both ready-to-buy designs and personalized merchandise without inventory and supply chain constraints. We've scaled globally, serving customers seeking unique designs, personalized gifts, and custom team uniforms. Our print on demand service handles production and fulfillment for both curated and custom products. We're investing heavily in AI-driven innovation to enhance our customer experience and operational efficiency. Our team builds the product strategy and technology that makes both seamless shopping and customization possible, transforming how customers express themselves through merchandise across Amazon. Basic Qualifications: - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - 2+ years of end to end product delivery experience Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in customer-facing product development and product management, including defining, launching, and optimizing product and services - Experience working across teams and influencing teams that are not your own - Experience managing products that involve strategic partnerships and third-party integrations - 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 - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Product Manager-Technical, Merch on Demand at Amazon.com Services LLC. Skills: Product vision, Product strategy, Product delivery. Define product vision. Execute product strategy", "postedDate" : "2026-06-13T13:40:44.741", "createdAt" : "2026-06-13T13:40:44.741", "lastUpdated" : "2026-06-15T05:47:45.933", "ingestTimestamp" : "2026-06-13T13:40:44.741", "mongoId" : "69e7eca02beec4dd3d832ab1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382420/apply", "salaryAnnualMin" : 151000, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Usability testing", "Metrics analysis", "Data analysis", "Product vision", "Product strategy", "Product delivery", "Roadmap execution", "Data-driven recommendations", "Product discovery", "Prioritization", "Go-to-market strategy", "Strategic direction", "Roadmap planning", "Merchandise", "Customization platforms", "E-commerce innovation", "Print on demand", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 20, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6cbd74d8ee00a091b069", "title" : "Nurse Practitioner or Physician Assistant - Sign-On Bonus Available", "company" : "One Medical", "industry" : "Healthcare", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Nurse Practitioner or Physician Assistant in Palo Alto, adjusted for mid-seniority and healthcare industry." }, "location" : "Palo Alto, CA, United States", "locations" : [ "Palo Alto", "CA", "United States" ], "certifications" : [ "NP program", "PA program", "National certification" ], "timestamp" : "2026-06-15T05:11:30.710", "fingerprint" : "97d4501705f7a1b4db30705ff8add9b6afb3d54d463b46c46ca883d9c36e830f", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.onemedical.com/careers/all-departments/8001412?gh_jid=8001412", "externalId" : "8001412", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Clinical proficiency", "Evidence-based primary care" ], "hardSkillsList" : [ "Patient panel management", "Acute care", "Chronic care", "Well visits", "In-office procedures", "Tele-health visits" ], "softSkillsList" : [ "Human-centered primary care", "Openness to feedback", "Adapt personal behavior" ], "hardSkills" : [ { "name" : "Patient panel management", "level" : "intermediate" }, { "name" : "Acute care", "level" : "intermediate" }, { "name" : "Chronic care", "level" : "intermediate" }, { "name" : "Well visits", "level" : "intermediate" }, { "name" : "In-office procedures", "level" : "intermediate" }, { "name" : "Tele-health visits", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Human-centered primary care" }, { "name" : "Openness to feedback" }, { "name" : "Adapt personal behavior" } ], "majorSkills" : "Primary care, Patient care, Clinical training", "majorSkillsList" : [ "Primary care", "Patient care", "Clinical training" ], "coreResponsibilities" : "Manage patient panel, Conduct acute visits, Conduct chronic visits, Conduct well visits, Treat patients in-office, Treat patients in testing centers, Conduct tele-health visits, Participate in Clinical Rounds, Collaborate with teammates, Collaborate with virtual teams, Utilize clinical training, Perform in-office procedures", "teamCollaboration" : "In-office teammates; Virtual clinical teams; Daily huddles", "domainKnowledge" : "Primary care setting; Primary care fellowship; Urgent care setting", "domainList" : [ "primary-care-setting", "primary-care-fellowship", "urgent-care-setting" ], "domainSpecificKnowledge" : [ "Primary care setting", "Primary care fellowship", "Urgent care setting" ], "communicationSkills" : "Provide care to individuals", "continuousLearning" : "Weekly Clinical Rounds", "specialRequirements" : "Obtain additional state licensure, Credentialing for virtual primary care", "outcomesObjectives" : "Achieve better health outcomes", "qualificationsBasic" : "Accredited NP or PA program, National certification, 2 years outpatient primary care, 1 year primary care fellowship, 1+ year urgent care, State licensed in California", "qualificationsPreferred" : "Additional state licensure, Credentialing for virtual primary care", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. Employment type: Full time What you’ll be working on: Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits Treating patients in-office or in testing centers as well as conducting occasional tele-health visits Continuous learning during weekly Clinical Rounds and through other modalities Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams Utilization of your specific clinical training and opportunities to perform in-office procedures Willing to obtain additional state licensure and credentialing for One Medical virtual primary care in additional states Education, licenses, and experiences required for this role: Completed an accredited NP or PA program with a national certification In the past 5 years, practiced as an Advanced Practitioner for at least: 2 years in an outpatient primary care setting, OR 1 year in an outpatient primary care setting, coupled with either a 1 year primary care fellowship or 1+ year in an urgent care setting State licensed in California, obtained by your One Medical start date One Medical providers also demonstrate: A passion for human-centered primary care The ability to successfully communicate with and provide care to individuals of all backgrounds The ability to effectively use technology to deliver high quality care Clinical proficiency in evidence-based primary care The desire to be an integral part of a team dedicated to changing healthcare delivery An openness to feedback and reflection to gain productive insight into strengths and weaknesses The ability to confidently navigate uncertain situations with both patients and colleagues Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a full- time role based in Menlo Park, CA. One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $164,700 to $175,000 per year based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit https://www.onemedical.com/careers/. Relocation assistance may be available for this role. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today Paid sabbatical for every five years of service Free One Medical memberships for yourself, your friends and family Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues Competitive Medical, Dental and Vision plans Pre-Tax commuter benefits PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family 401K match Credit towards emergency childcare Company paid maternity and paternity leave Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%. UpToDate Subscription - An evidence-based clinical research tool Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education Rounds - Providers end patient care one hour early each week to participate in this shared learning experience Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.", "summaryDescription" : "Nurse Practitioner or Physician Assistant - Sign-On Bonus Available at One Medical. Skills: Primary care, Patient care, Clinical training. Manage patient panel. Conduct acute visits", "postedDate" : "2026-06-14T09:48:42.034", "createdAt" : "2026-06-14T09:48:42.034", "lastUpdated" : "2026-06-15T05:11:30.710", "ingestTimestamp" : "2026-06-14T09:48:42.034", "mongoId" : "6a2c6cbd74d8ee00a091b069", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Patient panel management", "Acute care", "Chronic care", "Well visits", "In-office procedures", "Tele-health visits", "Human-centered primary care", "Openness to feedback", "Adapt personal behavior", "Primary care", "Patient care", "Clinical training", "Clinical proficiency", "Evidence-based primary care", "Primary care setting", "Primary care fellowship", "Urgent care setting", "NP program", "PA program", "National certification" ], "skillCount" : 20, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4952beec4dd3d9317c2", "title" : "Senior Product Manager, Amazon Merch on Demand", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, north america stores", "salary" : { "min" : 136000.0, "max" : 184100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:59:48.192", "fingerprint" : "24bc37c0383a115cfac00865310c7be199a5616fbead0420d53c0ce009f4ab15", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381574/apply", "externalId" : "90cc8451-e4c2-44f0-881f-b22455a58f8c", "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" : [ "Product strategy", "Roadmap definition", "Business objectives", "Product economics", "Pricing strategy", "Forecast analysis", "Success metrics", "Product lifecycle management", "Product requirements", "Product features", "Product-market fit", "Go-to-market strategy", "KPI measurement" ], "hardSkillsList" : [ "User research", "Data analysis", "Financial analysis", "P&L ownership" ], "hardSkills" : [ { "name" : "User research", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "P&L ownership", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap ownership, Customer discovery, Cross-functional leadership", "majorSkillsList" : [ "Product strategy", "Roadmap ownership", "Customer discovery", "Cross-functional leadership" ], "coreResponsibilities" : "Drive vision for e-commerce experiences, Own business for e-commerce experiences, Own product lifecycle from conception, Deliver seamless customer experiences, Balance customer needs with business objectives, Lead cross-functional teams, Act as voice of customer, Act as business owner, Manage product economics, Manage pricing strategy, Manage forecast analysis, Manage success metrics, Own product roadmap, Own product vision, Partner with engineering, Partner with design, Partner with marketing, Partner with operations, Partner with external partners, Align stakeholders, Drive execution, Conduct user research, Translate insights into requirements, Translate insights into features, Write PR/FAQs, Write narratives, Define features for catalog expansion, Define features for customization, Validate product-market fit, Drive go-to-market strategy, Coordinate across business units, Measure KPIs, Optimize for customer satisfaction", "teamCollaboration" : "Cross-functional teams; Engineering; Design; Marketing; Operations; External partners", "projectManagementSkills" : [ "Roadmap strategy", "Product delivery", "Feature delivery" ], "domainKnowledge" : "E-commerce; Sports customization; Print-on-demand", "domainList" : [ "e-commerce", "sports-customization", "print-on-demand" ], "domainSpecificKnowledge" : [ "E-commerce", "Sports customization", "Print-on-demand" ], "communicationSkills" : "Write PR/FAQs; Write narratives", "documentationSkills" : "Write PR/FAQs; Write narratives", "continuousLearning" : "Learn effective prompting; Learn AI evaluation", "innovationCreativity" : "Generative AI tools", "problemSolvingSkills" : "Data analysis; Translate insights", "outcomesObjectives" : "Deliver seamless experiences; Delight customers; Optimize for customer satisfaction", "qualificationsBasic" : "5+ years product/program management, 5+ years product marketing, 5+ years business development, 5+ years technology experience, Experience owning/driving roadmap strategy, Experience with end to end product delivery, Experience with feature delivery, Experience with tradeoffs of a product, Experience as a product manager, Experience as a product owner, Experience owning technology products, Experience with financial analysis, Experience with P&L ownership", "qualificationsPreferred" : "Experience influencing senior leadership, Experience working across functional teams, Experience with senior stakeholders, Usage of generative AI tools, Willingness to learn AI prompting, Willingness to learn AI evaluation, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We're seeking a customer-obsessed Product Manager to drive the vision and own the business for a innovative e-commerce experiences in the sports and customization space. You'll own the product lifecycle from conception to launch, working backwards from customers to deliver seamless experiences for discovering, customizing, and purchasing products. This role requires a strategic thinker who can balance customer needs with business objectives while leading cross-functional teams. Key job responsibilities * Business Ownership: Act as the voice of the customer and business owner, managing product economics, pricing strategy, forecast analysis, and success metrics * Product Vision & Strategy: Own the product roadmap and vision for sports-related e-commerce experiences, balancing customer needs with business objectives across multiple product categories * Cross-Functional Leadership: Partner with engineering, design, marketing, operations, and external partners to align stakeholders and drive execution * Customer Discovery: Conduct user research, analyze data, and translate insights into product requirements and features that delight customers * Product Development: Write PR/FAQs, narratives, and business requirements; define features for catalog expansion and customization capabilities; validate product-market fit through experimentation * Launch & Adoption: Drive go-to-market strategy, coordinate across business units, measure KPIs, and optimize for customer satisfaction About the team Amazon Merch on Demand is creating a highly scalable print-on-demand business for consumer products. We enable customers to discover, customize, and purchase products across multiple categories, leveraging Amazon's world-class fulfillment and customer experience capabilities. Basic Qualifications: - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree or equivalent - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience as a product manager or owner - Experience owning technology products - Experience with financial analysis and P&L ownership 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" : "Senior Product Manager, Amazon Merch on Demand at Amazon.com Services LLC. Skills: Product strategy, Roadmap ownership, Customer discovery, Cross-functional leadership. Drive vision for e-commerce experiences. Own business for e-commerce experiences", "postedDate" : "2026-06-13T03:49:08.333", "createdAt" : "2026-06-13T03:49:08.333", "lastUpdated" : "2026-06-15T01:59:48.192", "ingestTimestamp" : "2026-06-13T03:49:08.333", "mongoId" : "69d5e4952beec4dd3d9317c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381574/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "User research", "Data analysis", "Financial analysis", "P&L ownership", "Product strategy", "Roadmap ownership", "Customer discovery", "Cross-functional leadership", "Roadmap definition", "Business objectives", "Product economics", "Pricing strategy", "Forecast analysis", "Success metrics", "Product lifecycle management", "Product requirements", "Product features", "Product-market fit", "Go-to-market strategy", "KPI measurement", "Roadmap strategy", "Product delivery", "Feature delivery", "E-commerce", "Sports customization", "Print-on-demand" ], "skillCount" : 26, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6cbd74d8ee00a091b066", "title" : "Nurse Practitioner or Physician Assistant - Sign-On Bonus Available", "company" : "One Medical", "industry" : "Healthcare", "salary" : { "min" : 145000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Nurse Practitioner or Physician Assistant in Palo Alto, adjusted for mid-seniority and healthcare industry." }, "location" : "Palo Alto, CA, United States", "locations" : [ "Palo Alto", "CA", "United States" ], "certifications" : [ "NP program", "PA program", "National certification" ], "timestamp" : "2026-06-15T08:29:17.808", "fingerprint" : "0dd813f30b34b12d7378232b64d37d70afad4d74117e9fd73dcb34fad59224b0", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.onemedical.com/careers/all-departments/8001413?gh_jid=8001413", "externalId" : "8001413", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Clinical proficiency", "Evidence-based primary care" ], "hardSkillsList" : [ "Patient panel management", "Acute care", "Chronic care", "Well visits", "In-office procedures", "Tele-health visits" ], "softSkillsList" : [ "Human-centered primary care", "Openness to feedback", "Adapt personal behavior" ], "hardSkills" : [ { "name" : "Patient panel management", "level" : "intermediate" }, { "name" : "Acute care", "level" : "intermediate" }, { "name" : "Chronic care", "level" : "intermediate" }, { "name" : "Well visits", "level" : "intermediate" }, { "name" : "In-office procedures", "level" : "intermediate" }, { "name" : "Tele-health visits", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Human-centered primary care" }, { "name" : "Openness to feedback" }, { "name" : "Adapt personal behavior" } ], "majorSkills" : "Primary care, Patient care, Clinical training", "majorSkillsList" : [ "Primary care", "Patient care", "Clinical training" ], "coreResponsibilities" : "Manage patient panel, Conduct acute visits, Conduct chronic visits, Conduct well visits, Treat patients in-office, Treat patients in testing centers, Conduct tele-health visits, Participate in Clinical Rounds, Collaborate with teammates, Collaborate with virtual teams, Utilize clinical training, Perform in-office procedures", "teamCollaboration" : "In-office teammates; Virtual clinical teams; Daily huddles", "domainKnowledge" : "Primary care setting; Virtual primary care", "domainList" : [ "primary-care-setting", "virtual-primary-care" ], "domainSpecificKnowledge" : [ "Primary care setting", "Virtual primary care" ], "communicationSkills" : "Communicate with individuals; Provide care to individuals", "continuousLearning" : "Continuous learning; Weekly Clinical Rounds", "specialRequirements" : "Obtain additional state licensure, Credentialing for virtual primary care", "outcomesObjectives" : "Deliver exceptional health care; Achieve better health outcomes", "qualificationsBasic" : "Accredited NP or PA program, National certification, 2 years outpatient primary care, 1 year primary care fellowship, 1+ year urgent care setting, State licensed in California", "qualificationsPreferred" : "Additional state licensure, Credentialing for virtual primary care", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. Employment type: Full time What you’ll be working on: Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits Treating patients in-office or in testing centers as well as conducting occasional tele-health visits Continuous learning during weekly Clinical Rounds and through other modalities Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams Utilization of your specific clinical training and opportunities to perform in-office procedures Willing to obtain additional state licensure and credentialing for One Medical virtual primary care in additional states Education, licenses, and experiences required for this role: Completed an accredited NP or PA program with a national certification In the past 5 years, practiced as an Advanced Practitioner for at least: 2 years in an outpatient primary care setting, OR 1 year in an outpatient primary care setting, coupled with either a 1 year primary care fellowship or 1+ year in an urgent care setting State licensed in California, obtained by your One Medical start date One Medical providers also demonstrate: A passion for human-centered primary care The ability to successfully communicate with and provide care to individuals of all backgrounds The ability to effectively use technology to deliver high quality care Clinical proficiency in evidence-based primary care The desire to be an integral part of a team dedicated to changing healthcare delivery An openness to feedback and reflection to gain productive insight into strengths and weaknesses The ability to confidently navigate uncertain situations with both patients and colleagues Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a full- time role based in Sunnyvale, CA. One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $164,700 to $175,000 per year based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit https://www.onemedical.com/careers/. Relocation assistance may be available for this role. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today Paid sabbatical for every five years of service Free One Medical memberships for yourself, your friends and family Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues Competitive Medical, Dental and Vision plans Pre-Tax commuter benefits PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family 401K match Credit towards emergency childcare Company paid maternity and paternity leave Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%. UpToDate Subscription - An evidence-based clinical research tool Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education Rounds - Providers end patient care one hour early each week to participate in this shared learning experience Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.", "summaryDescription" : "Nurse Practitioner or Physician Assistant - Sign-On Bonus Available at One Medical. Skills: Primary care, Patient care, Clinical training. Manage patient panel. Conduct acute visits", "postedDate" : "2026-06-14T03:49:17.636", "createdAt" : "2026-06-14T03:49:17.636", "lastUpdated" : "2026-06-15T08:29:17.808", "ingestTimestamp" : "2026-06-14T03:49:17.636", "mongoId" : "6a2c6cbd74d8ee00a091b066", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Patient panel management", "Acute care", "Chronic care", "Well visits", "In-office procedures", "Tele-health visits", "Human-centered primary care", "Openness to feedback", "Adapt personal behavior", "Primary care", "Patient care", "Clinical training", "Clinical proficiency", "Evidence-based primary care", "Primary care setting", "Virtual primary care", "NP program", "PA program", "National certification" ], "skillCount" : 19, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6cbd74d8ee00a091b065", "title" : "Nurse Practitioner or Physician Assistant - Sign-On Bonus Available", "company" : "One Medical", "industry" : "Healthcare", "salary" : { "min" : 145000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Nurse Practitioner or Physician Assistant in Palo Alto, adjusted for mid-seniority and healthcare industry." }, "location" : "Palo Alto, CA, United States", "locations" : [ "Palo Alto", "CA", "United States" ], "certifications" : [ "NP certification", "PA certification" ], "timestamp" : "2026-06-15T07:48:19.378", "fingerprint" : "f4493c6d0569bd0255a647618924b95027c805ac23f757b9679b8a249879b32d", "source" : "greenhouse", "language" : "en", "applyUrl" : "http://www.onemedical.com/careers/all-departments/8001411?gh_jid=8001411", "externalId" : "8001411", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "professionalSkills" : [ "Clinical proficiency", "Evidence-based primary care" ], "hardSkillsList" : [ "Patient panel management", "Acute care", "Chronic care", "Well visits", "In-office procedures", "Tele-health visits" ], "hardSkills" : [ { "name" : "Patient panel management", "level" : "intermediate" }, { "name" : "Acute care", "level" : "intermediate" }, { "name" : "Chronic care", "level" : "intermediate" }, { "name" : "Well visits", "level" : "intermediate" }, { "name" : "In-office procedures", "level" : "intermediate" }, { "name" : "Tele-health visits", "level" : "intermediate" } ], "majorSkills" : "Primary care, Patient care, Clinical training", "majorSkillsList" : [ "Primary care", "Patient care", "Clinical training" ], "coreResponsibilities" : "Manage patient panel, Conduct acute visits, Conduct chronic visits, Conduct well visits, Treat patients in-office, Treat patients in testing centers, Conduct tele-health visits, Participate in clinical rounds, Collaborate with teammates, Collaborate with virtual teams, Utilize clinical training, Perform in-office procedures", "teamCollaboration" : "In-office teammates; Virtual clinical teams; Daily huddles", "domainKnowledge" : "Primary care setting; Virtual primary care", "domainList" : [ "primary-care-setting", "virtual-primary-care" ], "domainSpecificKnowledge" : [ "Primary care setting", "Virtual primary care" ], "communicationSkills" : "Provide care to individuals", "continuousLearning" : "Weekly Clinical Rounds", "specialRequirements" : "Obtain additional licensure", "outcomesObjectives" : "Achieve better health outcomes", "qualificationsBasic" : "Accredited NP or PA program, National certification, 2 years outpatient primary care, 1 year primary care fellowship, 1+ year urgent care, State licensed in California", "qualificationsPreferred" : "Additional state licensure, Credentialing for virtual care", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. Employment type: Full time What you’ll be working on: Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits Treating patients in-office or in testing centers as well as conducting occasional tele-health visits Continuous learning during weekly Clinical Rounds and through other modalities Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams Utilization of your specific clinical training and opportunities to perform in-office procedures Willing to obtain additional state licensure and credentialing for One Medical virtual primary care in additional states Education, licenses, and experiences required for this role: Completed an accredited NP or PA program with a national certification In the past 5 years, practiced as an Advanced Practitioner for at least: 2 years in an outpatient primary care setting, OR 1 year in an outpatient primary care setting, coupled with either a 1 year primary care fellowship or 1+ year in an urgent care setting State licensed in California, obtained by your One Medical start date One Medical providers also demonstrate: A passion for human-centered primary care The ability to successfully communicate with and provide care to individuals of all backgrounds The ability to effectively use technology to deliver high quality care Clinical proficiency in evidence-based primary care The desire to be an integral part of a team dedicated to changing healthcare delivery An openness to feedback and reflection to gain productive insight into strengths and weaknesses The ability to confidently navigate uncertain situations with both patients and colleagues Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a full- time role based in San Jose, CA. One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $164,700 to $175,000 per year based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit https://www.onemedical.com/careers/. Relocation assistance may be available for this role. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today Paid sabbatical for every five years of service Free One Medical memberships for yourself, your friends and family Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues Competitive Medical, Dental and Vision plans Pre-Tax commuter benefits PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family 401K match Credit towards emergency childcare Company paid maternity and paternity leave Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%. UpToDate Subscription - An evidence-based clinical research tool Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education Rounds - Providers end patient care one hour early each week to participate in this shared learning experience Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Please refer to the E-Verification Poster and Right to Work Poster for additional information.", "summaryDescription" : "Nurse Practitioner or Physician Assistant - Sign-On Bonus Available at One Medical. Skills: Primary care, Patient care, Clinical training. Manage patient panel. Conduct acute visits", "postedDate" : "2026-06-13T22:07:33.679", "createdAt" : "2026-06-13T22:07:33.679", "lastUpdated" : "2026-06-15T07:48:19.378", "ingestTimestamp" : "2026-06-13T22:07:33.679", "mongoId" : "6a2c6cbd74d8ee00a091b065", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Patient panel management", "Acute care", "Chronic care", "Well visits", "In-office procedures", "Tele-health visits", "Primary care", "Patient care", "Clinical training", "Clinical proficiency", "Evidence-based primary care", "Primary care setting", "Virtual primary care", "NP certification", "PA certification" ], "skillCount" : 15, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a8a7b74d8ee00a06820e0", "title" : "Chinook product Support Engineer Mechanical", "company" : "Boeing Defence United Kingdom Limited", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Mechanical Support Engineers in Aerospace in Gosport, UK, adjusted for company size and industry." }, "location" : "GBR - Gosport, UK", "locations" : [ "GBR - Gosport, UK", "United Kingdom" ], "timestamp" : "2026-06-13T02:29:34.069", "fingerprint" : "ba41f91d6cbaa79e62d26f4a603116eab8bce1392b4c6cb3259986cc496ee571", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/GBR---Gosport-UK/Chinook-product-Support-Engineer-Mechanical_JR2026514079-1", "externalId" : "JR2026514079", "structuredLocations" : [ { "city" : "Gosport", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.7952074,-1.1210853" } ], "locationText" : "Gosport, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical systems, Electrical wiring, Schematics, Functional testing, Control systems", "professionalSkills" : [ "In-service engineering support", "Fault diagnosis", "Root-cause investigations", "Analytical investigations", "Product performance monitoring", "Field data analysis", "Obsolescence management", "Fleet supportability", "Technical leadership", "Engineering judgement", "Engineering analysis", "Continuous improvement", "Technical advice", "Mentorship" ], "hardSkillsList" : [ "Aircraft maintenance procedures", "Engineering standards", "Regulatory requirements", "Mechanical system design", "Wiring diagrams", "Functional test data", "Supplier documentation", "Engineering drawings", "Change memos", "Program directives", "Maintenance data", "Repair instructions", "Service Bulletins", "Service Notes", "Aircraft Document Set", "Structural Repair Manual", "Aircraft Maintenance Manual", "Illustrated Parts Catalogue", "Operations Manual", "Component Maintenance Manual", "Wiring Diagram Manual", "Engineering Instructions", "Component problems", "System problems", "Continued airworthiness", "Efficient operation", "In-service issues", "Engineering outcomes", "Corrective actions", "Delivery configurations", "Customer personnel", "Boeing colleagues", "Best practices", "Boeing engineering standards", "System engineering management", "System Requirement Documents" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Aircraft maintenance procedures", "level" : "intermediate" }, { "name" : "Engineering standards", "level" : "intermediate" }, { "name" : "Regulatory requirements", "level" : "intermediate" }, { "name" : "Mechanical system design", "level" : "intermediate" }, { "name" : "Wiring 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"Wiring Diagram Manual", "level" : "intermediate" }, { "name" : "Engineering Instructions", "level" : "intermediate" }, { "name" : "Component problems", "level" : "intermediate" }, { "name" : "System problems", "level" : "intermediate" }, { "name" : "Continued airworthiness", "level" : "intermediate" }, { "name" : "Efficient operation", "level" : "intermediate" }, { "name" : "In-service issues", "level" : "intermediate" }, { "name" : "Engineering outcomes", "level" : "intermediate" }, { "name" : "Corrective actions", "level" : "intermediate" }, { "name" : "Delivery configurations", "level" : "intermediate" }, { "name" : "Customer personnel", "level" : "intermediate" }, { "name" : "Boeing colleagues", "level" : "intermediate" }, { "name" : "Best practices", "level" : "intermediate" }, { "name" : "Boeing engineering standards", "level" : "intermediate" }, { "name" : "System engineering management", "level" : "intermediate" }, { "name" : "System Requirement Documents", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Chinook experience, Aircraft maintenance, In-service support, Fault diagnosis", "majorSkillsList" : [ "Chinook experience", "Aircraft maintenance", "In-service support", "Fault diagnosis" ], "coreResponsibilities" : "Provide in-service engineering support, Act as primary technical interface, Minimise aircraft downtime, Restore mission capability, Deliver technical leadership, Provide practical support, Conduct fault diagnosis, Interpret mechanical system design, Interpret wiring diagrams, Interpret schematics, Interpret functional test data, Interpret supplier documentation, Interpret engineering drawings, Interpret change memos, Interpret program directives, Define delivery configurations, Define corrective actions, Lead root-cause investigations, Apply rigorous diagnostic methodologies, Convert engineering outcomes into maintenance data, Investigate technical issues, Investigate maintenance issues, Investigate operational issues, Investigate quality issues, Resolve technical issues, Resolve maintenance issues, Resolve operational issues, Resolve quality issues, Undertake analytical investigations, Apply engineering analysis, Resolve component problems, Resolve system problems, Ensure continued airworthiness, Ensure efficient operation, Monitor product performance, Analyse field data, Provide recommendations, Reduce recurrence of in-service issues, Drive continuous improvement, Support obsolescence management, Enhance fleet supportability, Coordinate across internal Boeing functions, Engage with external stakeholders, Deliver end-to-end in-service solutions, Provide technical advice, Provide mentorship to customer personnel, Provide mentorship to Boeing colleagues, Develop best practices, Promote best practices, Uphold Boeing engineering standards, Improve Boeing engineering standards", "teamCollaboration" : "Internal Boeing functions; External stakeholders; RAF operators; MROs; Suppliers; Regulators; Customer personnel; Boeing colleagues", "projectManagementSkills" : [ "System engineering management", "Project team leader" ], "domainKnowledge" : "Customer maintenance techniques; Repair processes; Maintenance processes; Retrofit processes; Hydraulics; Airframe; Power plant; Environmental control; Fuel systems; Electrical systems; Avionic support equipment; Rotor-tune techniques; HUMS", "domainList" : [ "customer-maintenance-techniques", "repair-processes", "maintenance-processes", "retrofit-processes", "hydraulics", "airframe", "power-plant", "environmental-control", "fuel-systems", "electrical-systems", "avionic-support-equipment", "rotor-tune-techniques", "hums" ], "domainSpecificKnowledge" : [ "Customer maintenance techniques", "Repair processes", "Maintenance processes", "Retrofit processes", "Hydraulics", "Airframe", "Power plant", "Environmental control", "Fuel systems", "Electrical systems", "Avionic support equipment", "Rotor-tune techniques", "HUMS" ], "toolProficiency" : [ "Aircraft Document Set", "Structural Repair Manual", "Aircraft Maintenance Manual", "Illustrated Parts Catalogue", "Operations Manual", "Component Maintenance Manual", "Wiring Diagram Manual", "Engineering Instructions" ], "communicationSkills" : "Written communication; Verbal communication; Technical engagement", "documentationSkills" : "Maintenance data; Procedures; Repair instructions; Service Bulletins; Service Notes; Change memos", "continuousLearning" : "Continuous learning; Learning Together Programme", "problemSolvingSkills" : "Fault diagnosis; Root-cause investigations; Analytical investigations; Problem solving", "specialRequirements" : "Eligible for SC clearance, 5 years uninterrupted residency, Security Clearance Process, United Kingdom Security Check", "outcomesObjectives" : "Minimise aircraft downtime; Restore mission capability; Ensure continued airworthiness; Ensure efficient operation; Reduce recurrence of in-service issues; Enhance fleet supportability; Deliver end-to-end in-service solutions", "qualificationsBasic" : "Bachelor of Science degree in Engineering, Eligible for SC clearance, Extensive Chinook experience, Thorough knowledge of aircraft maintenance procedures, Knowledge of engineering standards, Knowledge of regulatory requirements, Practical understanding of mechanical systems, Practical understanding of electrical wiring, Practical understanding of schematics, Practical understanding of functional testing, Practical understanding of control, Extensive knowledge of UK MOD / RAF aircraft maintenance processes, Extensive knowledge of customer maintenance techniques, Extensive knowledge of repair processes, Extensive knowledge of maintenance processes, Extensive knowledge of retrofit processes, Extensive knowledge of all delivered system/hardware, Legal authorisation to work in UK", "qualificationsPreferred" : "Ability to analyze and interpret company products, Ability to develop and influence new strategies, Understand system engineering management plans creation, Knowledge and experience of MoD projects, Chinook project experience, Ability to direct, communicate clearly, delegate, Ensure performance of assigned responsibilities, Identify and resolve issues, Provide solutions and recommendations, Understand financial performance metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Chinook product Support Engineer Mechanical **Company:** Boeing Defence United Kingdom Limited We are seeking an experienced Product Support Engineer (PSE) to join the Chinook Rotary Wing Enterprise (RWE) In‑Service Engineering team. Based at Boeing Fleetlands (Gosport) and supporting the UK RAF Chinook fleet, this is a hands‑on, customer‑facing role providing in‑service engineering support and acting as the primary technical interface for maintenance matters. The successful candidate will possess substantial, demonstrable Chinook experience and thorough knowledge of aircraft maintenance procedures, engineering standards and applicable regulatory requirements, and will be accountable for helping to minimise aircraft downtime and restore mission capability. The PSE will deliver technical leadership and practical support for both on‑aircraft and off‑aircraft activities, conducting fault diagnosis using published resources and engineering judgement. This includes the interpretation and application of mechanical system design, wiring diagrams and schematics, functional test data, supplier documentation, engineering drawings, change memos and program directives to define delivery configurations and corrective actions. The role encompasses leading root‑cause investigations, applying rigorous diagnostic methodologies and converting engineering outcomes into authorised maintenance data—such as procedures, repair instructions, Service Bulletins/Notes and change memos—that operators and MROs can implement in the field. Working within the Aircraft Document Set, Structural Repair Manual, Aircraft Maintenance Manual, Illustrated Parts Catalogue, Operations Manual, Component Maintenance Manual, Wiring Diagram Manual and Engineering Instructions, the PSE will investigate and resolve complex technical, maintenance, operational and quality issues. Where discrepancies cannot be resolved by the customer, the PSE will undertake analytical investigations and apply engineering analysis to resolve component and system problems, ensuring continued airworthiness and efficient operation. The role also involves monitoring product performance, analysing field data and providing recommendations to reduce recurrence of in‑service issues, driving continuous improvement through CI events and supporting obsolescence management to enhance fleet supportability. Collaboration is central to success in this position. The PSE will coordinate across internal Boeing functions, including engineering, logistics, quality, supply chain and design authority and will engage with external stakeholders such as RAF operators, MROs, suppliers and regulators to deliver end‑to‑end in‑service solutions. The role requires the provision of technical advice and mentorship to customer personnel and Boeing colleagues, development and the promotion of best practices to uphold and improve Boeing engineering standards. A practical understanding of mechanical systems, electrical wiring, schematics, functional testing and control is essential, together with excellent written and verbal communication skills for clear technical engagement with diverse stakeholders. **Basic Qualifications (Required Skills/Experience):** * Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * Candidate must be eligible for SC clearance * Extensive and specialized knowledge of UK MOD / RAF aircraft maintenance processes, policies, culture, and standard practices (e.g., return to service, normal duties/responsibilities, time constraints, available resources) * Extensive, specialized knowledge of customer maintenance techniques, customer organization, maintenance policies (Topic 5), capabilities, practices, support resources, preferences, problems, and other constraints * Extensive knowledge of repair, maintenance, and retrofit processes and practices (e.g. unplanned event system, technical orders, kitting, overhaul and depot support). * Extensive, specialized knowledge of all delivered system/hardware (e.g., hydraulics, airframe, power plant, environmental control, fuel, electrical, avionic support equipment and rotor-tune techniques including HUMS as it applies to maintenance and operations. **Preferred Qualifications (Desired Skills/Experience):** * Extensive and specialized ability to analyze and interpret company products (e.g., ability to analyze and interpret all products and services with the group). * Ability to develop and influence new strategies for concurrent engineering and be able to understand system engineering management plans creation and development of System Engineering artefacts including but not limited to; System Engineering Management Plans, System Requirement Documents, Verification and Validation Requirements Matrixes, Test Evaluation and Acceptance Plans. * Knowledge and experience of MoD projects, preferably Chinook related will be a distinct advantage. * Ability to direct, communicate clearly, delegate and ensure performance of assigned responsibilities and tasks as a project team leader in support of large scale and complex projects. Identifies and resolves any issues and provides solutions and or recommendations to ensure the successful completion of the project. Understand financial performance metrics. **Conflict of Interest:** Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. **Benefits:** The Boeing benefits package goes above and beyond, focusing on your physical, emotional, financial and social well-being. Here’s a snapshot of what we offer: * Competitive salary and annual incentive plans * Continuous learning - you’ll develop the approach and skills to navigate whatever comes next * Success as defined by you - we’ll provide the tools and flexibility, so you can make a meaningful impact, your way * Inclusive culture - you’ll be embraced for who you are and empowered to use your voice to help others find theirs * Excellent Adoption and Parental leave options * 23 days plus UK public holidays and a Winter Break between Christmas and New Year * Pension Plan with up to 10% employer contribution * Company paid BUPA Medical Plan * Short Term Sickness: 100% pay for the first 26 weeks * Long Term Sickness: 66.67% of annual salary from 27th week * 6x annual salary life insurance * Learning Together Programme to support your on-going personal and career development * Access to Boeing’s Well Being Programs, tool and incentives PLEASE NOTE: The successful candidate will be expected to undergo a Security Clearance Process, which will require 5 years uninterrupted residency in the UK prior to applying. **Work Authorisation:** This requisition is for a locally hired position in the UK. Candidates must have current legal authorisation to work immediately in the United Kingdom. Boeing will not attempt to obtain Immigration and labour sponsorship for any applicants. Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll. ******Language Requirements:****** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Security Clearance:** This position requires the ability to obtain United Kingdom Security Check. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Not a Shift Worker (United Kingdom)", "summaryDescription" : "Chinook product Support Engineer Mechanical at Boeing Defence United Kingdom Limited. Skills: Chinook experience, Aircraft maintenance, In-service support, Fault diagnosis. 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"Airframe", "Power plant", "Environmental control", "Fuel systems", "Electrical systems", "Avionic support equipment", "Rotor-tune techniques", "HUMS" ], "skillCount" : 68, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a423f74d8ee00a05cb5de", "title" : "Mechanical Product Validation Engineering Supervisor II", "company" : "Daimler Truck North America", "salary" : { "min" : 117000.0, "max" : 117000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Madras, OR US", "locations" : [ "Madras, OR US", "United States of America" ], "timestamp" : "2026-06-12T06:19:02.957", "fingerprint" : "171e0e78f53c9074a03c85891da25aff3682bb3f3ce67dfe1b04cfe7ae1b970e", "source" : "workday", "language" : "en", "applyUrl" : "https://dtna.wd5.myworkdayjobs.com/DTNA_external/job/Madras-OR-US/Mechanical-Product-Validation-Engineering-Supervisor-II_DT-18269", "externalId" : "DT-18269", "locationPoint" : "13.08784,80.27847", "structuredLocations" : [ { "city" : "Madras", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.6334544,-121.1294870" } ], "locationText" : "Madras, Oregon, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Supervisor", "professionalSkills" : [ "Work request governance", "Technician resource planning", "Tooling readiness", "Functional testing", "RLDA", "Durability", "Data acquisition", "Process alignment", "Data integrity", "Workflow transparency", "Shop operations", "Workload prioritization", "Test planning", "Project teams", "Resource planning", "Capacity planning", "Equipment lifecycle management", "CapEx recommendations", "Safety standards", "Shop performance metrics", "Fleet uptime" ], "hardSkillsList" : [ "Process management", "Continuous improvement", "Scheduling", "Workload prioritization", "Cross-functional coordination", "Resource planning", "Capacity planning", "Tooling management", "Equipment management", "CapEx recommendations", "Performance metrics" ], "softSkillsList" : [ "Leadership", "Coaching" ], "hardSkills" : [ { "name" : "Process management", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Workload prioritization", "level" : "intermediate" }, { "name" : "Cross-functional coordination", "level" : "intermediate" }, { "name" : "Resource planning", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Tooling management", "level" : "intermediate" }, { "name" : "Equipment management", "level" : "intermediate" }, { "name" : "CapEx recommendations", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" } ], "majorSkills" : "Shop operations, Resource planning, Cross-functional coordination, Continuous improvement", "majorSkillsList" : [ "Shop operations", "Resource planning", "Cross-functional coordination", "Continuous improvement" ], "coreResponsibilities" : "Provide operational leadership for the Madras shop, Own shop execution, Own work request governance, Own technician resource planning, Own tooling readiness, Ensure predictable, safe, and high-quality support, Strengthen cross-functional coordination, Strengthen long-range planning, Strengthen continuous improvement, Lead department-level initiatives to standardize shop processes, Lead department-level initiatives to standardize documentation processes, Guide documentation team members in process alignment, Harmonize practices using systems such as Jira, Finas, Improve data integrity, Improve workflow transparency, Improve cross-site consistency, Lead day-to-day shop operations, Manage technician assignments, Manage stall organization, Manage workload prioritization, Manage execution, Serve as escalation point for shop execution issues, Supervise shop personnel, Manage staffing, Manage training, Manage coaching, Manage performance feedback, Drive data-based process improvements, Own intake of all Madras shop work requests, Own prioritization of all Madras shop work requests, Own scheduling of all Madras shop work requests, Own execution of all Madras shop work requests, Establish and enforce a consistent, governed work order, Establish and enforce a consistent, governed scheduling process, Maintain clear visibility into shop commitments, Maintain clear visibility into shop capacity, Maintain clear visibility into shop backlog, Maintain clear visibility into shop constraints, Act as primary point of contact for HDPG, Plan technician support for functional testing, Plan technician support for RLDA, Plan technician support for durability, Plan technician support for FCCC data acquisition activities, Coordinate with test planning teams, Coordinate with project teams, Support ramps, Support special builds, Support test events, Support high-visibility activities, Represent Madras in resource planning discussions, Assess staffing needs, Assess skills needs, Assess coverage needs during workload spikes, Assess coverage needs during program ramps, Develop and maintain an overall Madras resource plan, Own shop tooling lifecycle management, Own shop equipment lifecycle management, Identify capacity gaps, Identify risks, Identify future equipment needs, Develop CapEx recommendations aligned with upcoming program demands, Develop CapEx recommendations aligned with upcoming test demands, Ensure technicians are trained on processes, Ensure technicians are trained on equipment use, Ensure technicians are trained on safety standards, Ensure technicians are trained on documentation requirements, Reinforce standard workflows, Reinforce work order governance, Reinforce shop discipline, Develop and maintain shop performance metrics, Provide leadership with clear, actionable visibility into shop, Provide leadership with clear, actionable visibility into shop, Support tours, Support visitors, Support high-visibility executive events requiring technician coordination, Support high-visibility executive events requiring driver coordination", "teamCollaboration" : "Cross-functional coordination; Cross-functional teams; Test planning teams; Project teams; Other L5 leaders", "projectManagementSkills" : [ "Work request governance", "Scheduling", "Workload prioritization", "Long-range planning", "Resource planning", "Capacity planning", "CapEx recommendations" ], "domainKnowledge" : "Truck mechanical systems; Mechatronics; Durability testing; Functional testing; Reliability testing; Validation operations", "domainList" : [ "truck-mechanical-systems", "mechatronics", "durability-testing", "functional-testing", "reliability-testing", "validation-operations" ], "domainSpecificKnowledge" : [ "Truck mechanical systems", "Mechatronics", "Durability testing", "Functional testing", "Reliability testing", "Validation operations" ], "toolProficiency" : [ "Jira", "Finas", "Fleetio" ], "communicationSkills" : "Presenting operational status; Presenting metrics", "documentationSkills" : "Documentation processes; Documentation requirements", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven process improvements", "specialRequirements" : "Not open for Visa sponsorship, Legally authorized to work permanently, Criminal background check, Pre-employment drug screen", "outcomesObjectives" : "Improve data integrity; Improve workflow transparency; Improve cross-site consistency; Support increasing program complexity; Support operational demand", "qualificationsBasic" : "Bachelor's degree in Engineering, Operations, Manufacturing, or related field, or equivalent practical experience, 5–7 years of relevant experience (or 8 years in lieu of degree), Prior supervisory or team lead experience, Experience in shop, test, manufacturing, or operations environments, Demonstrated ability to manage scheduling, workload prioritization, and cross-functional coordination, Interpersonal, communication, and organizational skills, Ability to interpret and administer policies, processes, and procedures", "qualificationsPreferred" : "Working knowledge of DTNA tools, systems, and documentation processes, Understanding of truck mechanical systems and mechatronics, Experience supporting durability, functional testing, reliability, or validation operations, Deep understanding of projects under test and testing scope, Coaching and mentoring experience, CDL and/or hands-on vehicle driving experience, Comfort presenting operational status and metrics to leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Inside the Role** Responsibilities: The Mechanical Product Validation Engineering Supervisor II provides operational leadership for the Madras shop by owning shop execution, work request governance, technician resource planning, and tooling readiness. This role ensures predictable, safe, and high‑quality support across functional testing, RLDA, durability, and FCCC data acquisition, while strengthening cross‑functional coordination, long‑range planning, and continuous improvement at HDPG. Lead and actively drive department‑level initiatives to standardize shop and documentation processes across PVE, including guiding documentation team members in process alignment efforts to harmonize practices using systems such as Jira, Finas and Fleetio, improving data integrity, workflow transparency, and cross‑site consistency to support increasing program complexity and operational demand. **Posting Information** We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. **We Take Care of Our Team** Additional Job Description **Position offers a salary range of $117,000 to $150,000 USD** Pay offered dependent on knowledge, skills, and experience. Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. **What You Drive at DTNA** Shop Operations & Supervision * Lead day‑to‑day shop operations including technician assignments, stall organization, workload prioritization, and execution. * Serve as the escalation point for shop execution issues impacting vehicle readiness, schedules, or safety. * Supervise shop personnel, including staffing, training, coaching, and performance feedback. * Drive data‑based process improvements using shop performance metrics. Work Requests, Scheduling & Governance * Own intake, prioritization, scheduling, and execution of all Madras shop work requests. * Establish and enforce a consistent, governed work order and scheduling process. * Maintain clear visibility into shop commitments, capacity, backlog, and constraints. Cross‑Functional Coordination * Act as the primary point of contact for HDPG shop support. * Plan and schedule technician support for functional testing, RLDA, durability, and FCCC data acquisition activities. * Coordinate with test planning and project teams to support ramps, special builds, test events, and high‑visibility activities. Resource Planning & Flex Capacity * Represent Madras in resource planning discussions with other L5 leaders. * Assess staffing, skills, and coverage needs during workload spikes or program ramps. * Develop and maintain an overall Madras resource plan, including flex and contingency coverage options. Tooling, Equipment & CapEx * Own shop tooling and equipment lifecycle management. * Identify capacity gaps, risks, and future equipment needs. * Develop CapEx recommendations aligned with upcoming program and test demands. Training, Process & Continuous Improvement * Ensure technicians are trained on processes, equipment use, safety standards, and documentation requirements. * Reinforce standard workflows, work order governance, and shop discipline. * Develop and maintain shop performance metrics (capacity, utilization, backlog, cycle time, fleet uptime). * Provide leadership with clear, actionable visibility into shop performance and risks. * Support tours, visitors, and high‑visibility executive events requiring technician or driver coordination at HDPG, while representing DTNA and PVE before and during executive events. #LI-CF1 #LI-ONSITE **Knowledge You Should Bring** * Bachelor’s degree in Engineering, Operations, Manufacturing, or related field, or equivalent practical experience. * Typically requires 5–7 years of relevant experience (or 8 years in lieu of degree). * Prior supervisory or team lead experience. * Experience in shop, test, manufacturing, or operations environments. * Demonstrated ability to manage scheduling, workload prioritization, and cross‑functional coordination. * Strong interpersonal, communication, and organizational skills. * Ability to interpret and administer policies, processes, and procedures. **Exceptional Candidates Might Have** * Working knowledge of DTNA tools, systems, and documentation processes. * Strong understanding of truck mechanical systems and mechatronics. * Experience supporting durability, functional testing, reliability, or validation operations. * Deep understanding of the projects under test and overall testing scope, with the ability to hold Engineering and project management to high standards while building strong partnerships to address technical product, component, and system challenges identified at the proving grounds. * Coaching and mentoring experience. * CDL and/or hands‑on vehicle driving experience. * Comfort presenting operational status and metrics to leadership. **Where We Work** This position is open to applicants who can work in (or relocate to) the following location(s)- Madras, OR US. Relocation assistance is not available for this position. **Schedule Type:** Onsite At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. **Additional Information** * This position is **not open** for Visa sponsorship **or** to existing Visa holders * Applicants must be legally authorized to work permanently in the country the position is located in at the time of application * Final candidate must successfully complete a criminal background check * Final candidate may be required to successfully complete a pre-employment drug screen * Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions * EEO - Disabled/Veterans Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.", "summaryDescription" : "Mechanical Product Validation Engineering Supervisor II at Daimler Truck North America. Skills: Shop operations, Resource planning, Cross-functional coordination, Continuous improvement. Provide operational leadership for the Madras shop. Own shop execution", "postedDate" : "2026-06-11T12:56:16.063", "createdAt" : "2026-06-11T12:56:15.795", "lastUpdated" : "2026-06-12T06:19:02.957", "ingestTimestamp" : "2026-06-11T12:56:15.795", "mongoId" : "6a2a423f74d8ee00a05cb5de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://dtna.wd5.myworkdayjobs.com/DTNA_external/job/Madras-OR-US/Mechanical-Product-Validation-Engineering-Supervisor-II_DT-18269", "salaryAnnualMin" : 117000, "salaryAnnualMax" : 117000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Process management", "Continuous improvement", "Scheduling", "Workload prioritization", "Cross-functional coordination", "Resource planning", "Capacity planning", "Tooling management", "Equipment management", "CapEx recommendations", "Performance metrics", "Leadership", "Coaching", "Shop operations", "Work request governance", "Technician resource planning", "Tooling readiness", "Functional testing", "RLDA", "Durability", "Data acquisition", "Process alignment", "Data integrity", "Workflow transparency", "Test planning", "Project teams", "Equipment lifecycle management", "Safety standards", "Shop performance metrics", "Fleet uptime", "Long-range planning", "Truck mechanical systems", "Mechatronics", "Durability testing", "Reliability testing", "Validation operations", "Jira", "Finas", "Fleetio" ], "skillCount" : 39, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10a770f0b99d58e7b73f", "title" : "Area Manager - Military Veterans Encouraged to Apply", "company" : "Amazon.com Services LLC", "industry" : "Fulfillment Operations Management, Fulfillment Center, fulfillment ops", "salary" : { "min" : 70000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, North Carolina, USA", "locations" : [ "Charlotte, North Carolina, USA" ], "timestamp" : "2026-06-15T07:47:05.123", "fingerprint" : "4ca334468802b0c284a18086b8246eaa96103d20da2aba6392e3d1a59eb98f60", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105233/apply", "externalId" : "ea08b6f2-ccf3-447c-bc9a-7f77e2423fff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Performance management", "Process improvement", "Lean techniques" ], "softSkillsList" : [ "Mentoring", "Motivation" ], "hardSkills" : [ { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Lean techniques", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Motivation" } ], "majorSkills" : "Process management, Team leadership, Operational metrics", "majorSkillsList" : [ "Process management", "Team leadership", "Operational metrics" ], "coreResponsibilities" : "Support hourly workforce, Mentor hourly workforce, Motivate hourly workforce, Manage safety, Manage quality, Manage productivity, Manage customer delivery, Collaborate with support teams, Develop plans, Meet business objectives, Lift up to 49 pounds, Push, Pull, Squat, Bend, Reach, Stand for 12 hours, Walk for 12 hours, Climb stairs, Descend stairs", "teamCollaboration" : "Collaborate with support teams; Safety team collaboration; Engineering team collaboration; Loss Prevention collaboration; Quality Assurance collaboration; Human Resources collaboration", "domainKnowledge" : "Operations network; First mile logistics; Middle mile logistics; Last mile logistics", "domainList" : [ "operations-network", "first-mile-logistics", "middle-mile-logistics", "last-mile-logistics" ], "domainSpecificKnowledge" : [ "Operations network", "First mile logistics", "Middle mile logistics", "Last mile logistics" ], "communicationSkills" : "Customer service; Interpersonal skills", "specialRequirements" : "Lift up to 49 pounds, Frequently push, Frequently pull, Frequently squat, Frequently bend, Frequently reach, Stand up to 12 hours, Walk up to 12 hours, Work in loud environment, Work in variable temperatures, Work in variable weather, Climb stairs, Descend stairs", "outcomesObjectives" : "Maintain highest safety levels; Maintain highest quality levels; Maintain highest attendance levels; Maintain highest performance levels; Meet customer expectations; Ensure customer orders delivered on time; Ensure customer orders delivered to right location", "qualificationsBasic" : "2+ years employee management, 2+ years performance management, Work flexible schedule, Work weekends, Work nights, Work holidays, Bachelor's degree, 2+ years Amazon experience, 6+ years military experience", "qualificationsPreferred" : "1+ years performance metrics, 1+ years process improvement, 1+ years lean techniques, Manage team 20+ employees, Process improvements experience, Lean process experience, Kaizen experience, Six Sigma experience, Excellent customer service skills, Excellent communication skills, Excellent interpersonal skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Key job responsibilities * Support, mentor, and motivate your hourly workforce * Manage safety, quality, productivity, and customer delivery promises * Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives * Lift up to 49 pounds and frequently push, pull, squat, bend, and reach * Stand/walk for up to 12 hours during shifts * Work in an environment where the noise level varies and can be loud * Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments) * Continuously climb and descend stairs (applies to sites with stairs) Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings. Basic Qualifications: - 2+ years of employee and performance management experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience or 6+ years equivalent military experience Preferred Qualifications: - +1 years of performance metrics, process improvement or lean techniques experience - Experience managing a team of 20+ employees - Experience with process improvements (Lean process, Kaizen, and/or Six Sigma) - Excellent customer service, communication, and interpersonal skills - A Bachelor’s or Master’s degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry experience in: retail, F&B, military, manufacturing, automotive, biotech, electronics, energy, instrumentation, machinery, defense/aerospace, medical, cosmetics, production or distribution environments. 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 $70,000/year in our lowest geographic market up to $100,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Area Manager - Military Veterans Encouraged to Apply at Amazon.com Services LLC. Skills: Process management, Team leadership, Operational metrics. Support hourly workforce. Mentor hourly workforce", "postedDate" : "2026-06-13T20:38:52.586", "createdAt" : "2026-06-13T20:38:52.586", "lastUpdated" : "2026-06-15T07:47:05.123", "ingestTimestamp" : "2026-06-13T20:38:52.586", "mongoId" : "68ed10a770f0b99d58e7b73f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105233/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 100000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Performance management", "Process improvement", "Lean techniques", "Mentoring", "Motivation", "Process management", "Team leadership", "Operational metrics", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Operations network", "First mile logistics", "Middle mile logistics", "Last mile logistics" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a5c5574d8ee00a0613c13", "title" : "Product Integration, Senior Principal - Active Electric Cable / Smart Cable Module Business", "company" : "Astera Labs", "industry" : "Technology", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Executive in Technology in San Jose, adjusted for company size and industry." }, "location" : "San Jose, United States", "locations" : [ "San Jose", "United States" ], "timestamp" : "2026-06-14T22:15:38.996", "fingerprint" : "b758ef355eadcc7c1aee0107c4ba2b2bf61cfa34b9eeae3ad9eac6af69bbd3f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/asteralabs/jobs/4704545005", "externalId" : "4704545005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San 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"Cable assembly construction", "level" : "intermediate" }, { "name" : "Connector technology", "level" : "intermediate" }, { "name" : "Mechanical packaging", "level" : "intermediate" }, { "name" : "Firmware/hardware integration", "level" : "intermediate" }, { "name" : "Cross-functional debug", "level" : "intermediate" }, { "name" : "Root-cause analysis", "level" : "intermediate" }, { "name" : "Electrical engineering", "level" : "intermediate" }, { "name" : "Computer engineering", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "Thermal management", "level" : "intermediate" }, { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Test engineering", "level" : "intermediate" }, { "name" : "Manufacturing engineering", "level" : "intermediate" }, { "name" : "Customer applications", "level" : "intermediate" }, { "name" : "Simulation tools", "level" : "intermediate" }, { "name" : "Lab measurement equipment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Technical depth" }, { "name" : "Cross-functional influence" } ], "majorSkills" : "Product integration, Active Electrical Cable, High-speed interconnect, Signal integrity", "majorSkillsList" : [ "Product integration", "Active Electrical Cable", "High-speed interconnect", "Signal integrity" ], "coreResponsibilities" : "Own technical integration of AEC products, Define and maintain AEC product integration plan, Serve as central technical authority, Drive integration trade-off decisions, Own AEC product-level specification, Ensure end-to-end channel performance, Partner with Signal Integrity engineers, Drive resolution of signal integrity issues, Define and enforce electrical interface specifications, Coordinate physical integration of components, Work with Mechanical Engineering, Drive resolution of mechanical-electrical conflicts, Review and approve mechanical drawings, Partner with Firmware Engineering, Define firmware-hardware interface requirements, Drive debug and root-cause analysis", "teamCollaboration" : "Partner with engineering leads; Partner with NPI; Partner with QA; Partner with validation; Partner with manufacturing; Partner with customer engineering", "projectManagementSkills" : [ "Product integration plan" ], "domainKnowledge" : "Rack-scale AI infrastructure; Connectivity solutions; Intelligent Connectivity Platform; CXL; Ethernet; NVLink; PCIe; UALink; Active Electrical Cables; Smart Cable Modules; High-speed interconnect; 56G/112G PAM4; PCB/substrate design; Cable assembly construction; Connector technology; Mechanical packaging; Signal integrity; Channel modeling; Equalization; Link budgeting; IEEE standards; OIF CEI standards; Retimers; Re-drivers; PHY-layer silicon; Firmware/hardware integration; Hyperscale data center; AI infrastructure; Contract manufacturing; Environmental testing; Reliability testing", "domainList" : [ "rack-scale-ai-infrastructure", "connectivity-solutions", "intelligent-connectivity-platform", "cxl", "ethernet", "nvlink", "pcie", "ualink", "active-electrical-cables", "smart-cable-modules", "high-speed-interconnect", "56g-112g-pam4", "pcb-substrate-design", "cable-assembly-construction", "connector-technology", "mechanical-packaging", "signal-integrity", "channel-modeling", "equalization", "link-budgeting", "ieee-standards", "oif-cei-standards", "retimers", "re-drivers", "phy-layer-silicon", "firmware-hardware-integration", "hyperscale-data-center", "ai-infrastructure", "contract-manufacturing", "environmental-testing", "reliability-testing" ], "domainSpecificKnowledge" : [ "Rack-scale AI infrastructure", "Connectivity solutions", "Intelligent Connectivity Platform", "CXL", "Ethernet", "NVLink", "PCIe", "UALink", "Active Electrical Cables", "Smart Cable Modules", "High-speed interconnect", "56G/112G PAM4", "PCB/substrate design", "Cable assembly construction", "Connector technology", "Mechanical packaging", "Signal integrity", "Channel modeling", "Equalization", "Link budgeting", "IEEE standards", "OIF CEI standards", "Retimers", "Re-drivers", "PHY-layer silicon", "Firmware/hardware integration", "Hyperscale data center", "AI infrastructure", "Contract manufacturing", "Environmental testing", "Reliability testing" ], "toolProficiency" : [ "COSMOS software", "HFSS", "ADS", "CST", "Oscilloscopes", "BER testers", "VNAs", "TDR" ], "communicationSkills" : "Distill complex trade-offs", "documentationSkills" : "Mechanical drawings; 3D models; Tolerance stacks; Assembly sequences", "problemSolvingSkills" : "Cross-domain technical conflicts; Integration challenges; Cross-functional debug; Root-cause analysis; Trade-off decisions", "specialRequirements" : "20-30% travel, Travel to CM sites in Asia, Travel to customer locations", "outcomesObjectives" : "Deliver production-ready products; Meet performance targets; Meet quality targets; Meet reliability targets", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 15+ years of experience in hardware product development, Substantial focus on high-speed interconnect, Substantial focus on cable assembly, Substantial focus on transceiver/module, Substantial focus on mixed signal/digital system integration, Demonstrated track record as a technical integration leader, Owning the full-product convergence across multiple engineering disciplines, Deep understanding of high-speed serial link design, Working knowledge of PCB/substrate design, Working knowledge of cable assembly construction, Working knowledge of connector technology, Working knowledge of mechanical packaging for high-speed interconnects, Experience with firmware/hardware integration, Proven ability to drive complex cross-functional debug, Proven ability to drive root-cause analysis, Excellent communication skills", "qualificationsPreferred" : "Master's or Ph. D. in Electrical Engineering, Direct hands-on experience with Active Electrical Cables, Direct hands-on experience with Active Copper Cables, Direct hands-on experience with Direct Attach Cables, Direct hands-on experience with Smart Cable Modules, Experience integrating products based on retimer or linear re-driver ASICs, Deep familiarity with IEEE 802.3ck, Deep familiarity with IEEE 802.3dj, Deep familiarity with OIF CEI-112G, Deep familiarity with OIF CEI-224G, Deep familiarity with SFF-8636, Deep familiarity with CMIS, Deep familiarity with OSFP, Deep familiarity with QSFP-DD, Experience with 224G/lane interconnect technology, Experience with next-generation cable/connector architectures, Background in system-level integration for hyperscale data center, Background in system-level integration for AI infrastructure, Experience with contract manufacturers in Asia, Familiarity with environmental/reliability testing standards, Mandarin language proficiency", "workSiteFlexibility" : "Onsite", "rawDescription" : "Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. About Astera Labs Astera Labs is the connectivity backbone of rack-scale AI infrastructure. Our Active Electrical Cables (AEC), Smart Cable Modules (SCM), Silicon Evaluation Platforms, and rack-scale products deliver purpose-built, high-speed connectivity for the world's most demanding AI clusters. As our product portfolio expands in complexity, performance, and volume — and as OEM customers increasingly adopt Astera Labs silicon into their own designs — we need a senior engineering leader to build and scale the hardware design engineering organization that creates industry-defining products and enables our customers' success. We are hiring a Senior Principal Engineer, AEC Product Integration to serve as the senior technical integration leader for Astera Labs' Active Electrical Cable product line. This is a deeply technical, hands-on individual contributor role at the most senior level — responsible for ensuring that every element of an AEC product (silicon, firmware, PCB/substrate, cable assembly, connector, mechanical, thermal, and signal integrity) comes together into a fully validated, production-ready, customer-qualified product. You will be the single technical point of accountability for AEC product integration — the person who sees the complete picture, identifies gaps between disciplines, resolves cross-domain technical conflicts, and drives closure on the hardest integration challenges. You'll work at the intersection of hardware design, firmware, signal integrity, mechanical engineering, test, manufacturing, and customer applications — ensuring that Astera Labs' AEC products meet or exceed performance, quality, and reliability targets at scale. Reporting to the AVP of AEC/SCM Hardware Engineering, you'll partner closely with engineering leads across all disciplines, as well as NPI, QA, validation, manufacturing, and customer engineering teams. You won't manage a large organization — instead, you'll lead through technical depth, cross-functional influence, and the ability to drive complex multi-variable problems to resolution. Key Responsibilities End-to-End Product Integration Own the technical integration of AEC products across all constituent domains: ASIC/retimer silicon, firmware, PCB/flex circuit, cable assembly, connector interface, mechanical housing, thermal management, and signal integrity Define and maintain the AEC product integration plan — identifying all cross-domain interfaces, dependencies, risks, and validation checkpoints from early design through mass production release Serve as the central technical authority who ensures all subsystem specifications are mutually consistent, physically realizable, and collectively deliver the target product performance Drive integration trade-off decisions when competing requirements across domains (e.g., signal integrity vs. mechanical, thermal vs. cost, firmware timing vs. test coverage) require resolution Own the AEC product-level specification, ensuring it flows coherently from system-level customer requirements down to component-level specifications for each engineering team Signal Integrity & Electrical Performance Integration Ensure end-to-end channel performance meets target specifications across the full AEC link — from host connector, through PCB/substrate, retimer silicon, flex/cable medium, and far-end connector Partner with Signal Integrity engineers to validate channel models, S-parameter budgets, eye diagram margins, and compliance to relevant standards (IEEE 802.3ck/dj, OIF CEI-112G/224G) Drive resolution of signal integrity issues that span multiple domains — e.g., connector-to-PCB transition optimization, cable-to-substrate impedance matching, crosstalk between differential pairs in dense cable bundles Define and enforce electrical interface specifications at every integration boundary (silicon-to-substrate, substrate-to-cable, cable-to-connector, connector-to-host) Hardware & Mechanical Integration Coordinate the physical integration of retimer silicon, passive components, flex circuits or PCBs, cable assemblies, and mechanical housings into a unified AEC product form factor Work with Mechanical Engineering to ensure connector mating, latching, strain relief, bend radius, thermal dissipation, and form factor compliance are achieved within customer and standards requirements Drive resolution of mechanical-electrical conflicts (e.g., routing density vs. housing volume, thermal solution vs. weight/form factor, strain relief vs. cable flexibility) Review and approve mechanical drawings, 3D models, tolerance stacks, and assembly sequences for AEC products Firmware & Silicon Integration Partner with Firmware Engineering to ensure retimer/re-driver firmware initialization, link training, equalization, and diagnostic features integrate correctly with the AEC hardware platform Define firmware-hardware interface requirements — including power sequencing, thermal monitoring/throttling, I2C/CMIS register maps, and in-field diagnostic capabilities Drive debug and root-cause analysis of integration issues that span silicon, firmware, and hardware boundaries (e.g., link instability tied to power delivery transients, equalization failures tied to channel asymmetry) Ensure AEC products comply with relevant management interface standards (CMIS, SFF-8636, or proprietary host interfaces) Test & Validation Integration Define the AEC product-level validation plan — ensuring comprehensive coverage across electrical performance, mechanical durability, environmental reliability, firmware functionality, and interoperability Partner with Test Engineering to specify end-of-line production test requirements that validate all critical integration parameters without excessive test time Drive cross-domain failure analysis when product-level test failures cannot be attributed to a single subsystem — marshaling resources across SI, hardware, firmware, and mechanical teams to identify root cause Own the integration test phase during NPI — defining entry/exit criteria, managing issue trackers, driving closure, and making go/no-go recommendations for production readiness Customer Integration & Interoperability Serve as the senior technical interface for AEC product integration with customer platforms — understanding host ASIC requirements, switch/NIC compatibility, rack-level cabling architectures, and system-level thermal/mechanical constraints Drive interoperability testing and debug with customer hardware, resolving link-level issues that may involve Astera Labs' AEC, customer host silicon, or system-level environmental factors Translate customer integration feedback into actionable engineering requirements and design improvements for current and future AEC generations Support customer qualification activities by providing technical data packages, integration guides, and direct engineering engagement Cross-Functional Technical Leadership Lead cross-domain integration reviews and design reviews — bringing together hardware, firmware, SI, mechanical, test, manufacturing, and quality engineers to assess readiness at each product milestone Identify and escalate integration risks early — proposing mitigation plans and driving pre-emptive resolution before issues reach production or customer sites Establish and document integration best practices, lessons learned, and reusable frameworks that improve efficiency across successive AEC product generations Mentor engineers across disciplines on systems-level thinking and cross-domain integration methodology Manufacturing & NPI Integration Partner with Manufacturing Engineering and NPI teams to ensure that the integrated AEC product design is manufacturable, testable, and scalable at volume Participate in DFM/DFA/DFT reviews with a focus on integration-critical process steps (e.g., cable-to-substrate attachment, retimer placement, overmolding, connector alignment) Support production ramp by driving resolution of integration-related yield issues, process excursions, or field failures that span multiple manufacturing operations Define incoming inspection and in-process integration verification checkpoints to catch cross-domain defects early in the production flow Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical discipline 15+ years of experience in hardware product development, with substantial focus on high-speed interconnect, cable assembly, transceiver/module, or mixed signal/digital system integration Demonstrated track record as a technical integration leader — owning the full-product convergence across multiple engineering disciplines on complex hardware products Deep understanding of high-speed serial link design (56G/112G PAM4 or above), including signal integrity, channel modeling, equalization, and link budgeting Strong working knowledge of PCB/substrate design, cable assembly construction, connector technology, and mechanical packaging for high-speed interconnects Experience with firmware/hardware integration on products containing retimers, re-drivers, or PHY-layer silicon Proven ability to drive complex cross-functional debug and root-cause analysis spanning electrical, mechanical, firmware, and manufacturing domains Experience supporting customer integration, interoperability testing, and platform-level qualification Excellent communication skills — able to distill complex multi-domain trade-offs for both technical peers and executive audiences Willingness to travel (20–30%) to CM sites in Asia and customer locations as required Preferred Qualifications Master's or Ph. D. in Electrical Engineering with emphasis on high-speed interconnects, signal integrity, or mixed-signal systems Direct hands-on experience with Active Electrical Cables (AEC), Active Copper Cables (ACC), Direct Attach Cables (DAC), or Smart Cable Modules (SCM) Experience integrating products based on retimer or linear re-driver ASICs (e.g., Astera Labs Aries, Broadcom, Marvell, or equivalent) Deep familiarity with relevant standards: IEEE 802.3ck (100G/lane), 802.3dj (200G/lane), OIF CEI-112G, CEI-224G, SFF-8636, CMIS, OSFP, QSFP-DD Experience with 224G/lane (1.6T) interconnect technology and next-generation cable/connector architectures Background in system-level integration for hyperscale data center or AI infrastructure applications Experience with contract manufacturers in Asia for cable assembly or module production Familiarity with environmental/reliability testing standards (GR-468, Telcordia, IEC) for interconnect products Mandarin language proficiency for direct technical engagement with Asian manufacturing partners Experience with simulation tools (HFSS, ADS, CST, or equivalent) and lab measurement equipment (oscilloscopes, BER testers, VNAs, TDR) We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.", "summaryDescription" : "Product Integration, Senior Principal - Active Electric Cable / Smart Cable Module Business at Astera Labs. Skills: Product integration, Active Electrical Cable, High-speed interconnect, Signal integrity. Own technical integration of AEC products. Define and maintain AEC product integration plan", "postedDate" : "2026-06-11T21:02:46.965", "createdAt" : "2026-06-11T21:02:46.965", "lastUpdated" : "2026-06-14T22:15:38.996", "ingestTimestamp" : "2026-06-11T21:02:46.965", "mongoId" : "6a2a5c5574d8ee00a0613c13", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 550000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Channel modeling", "Equalization", "Link budgeting", "PCB design", "Cable assembly construction", "Connector technology", "Mechanical packaging", "Firmware/hardware integration", "Cross-functional debug", "Root-cause analysis", "Electrical engineering", "Computer engineering", "Signal integrity analysis", "Thermal management", "Mechanical engineering", "Test engineering", "Manufacturing engineering", "Customer applications", "Simulation tools", "Lab measurement equipment", "Leadership", "Technical depth", "Cross-functional influence", "Product integration", "Active Electrical Cable", "High-speed interconnect", "Signal integrity", "Technical integration", "System integration", "Cross-domain technical conflicts", "Customer integration", "Interoperability testing", "Platform-level qualification", "NPI", "QA", "Validation", "Manufacturing", "Customer engineering", "Contract manufacturers", "Product integration plan", "Rack-scale AI infrastructure", "Connectivity solutions", "Intelligent Connectivity Platform", "CXL", "Ethernet", "NVLink", "PCIe", "UALink", "Active Electrical Cables", "Smart Cable Modules", "56G/112G PAM4", "PCB/substrate design", "IEEE standards", "OIF CEI standards", "Retimers", "Re-drivers", "PHY-layer silicon", "Hyperscale data center", "AI infrastructure", "Contract manufacturing", "Environmental testing", "Reliability testing", "COSMOS software", "HFSS", "ADS", "CST", "Oscilloscopes", "BER testers", "VNAs", "TDR" ], "skillCount" : 70, "jobCategory" : "engineering", "jobSubcategory" : "hardware-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69c94a869bc74574cbbb4f78", "title" : "Product Lifecycle Electrical Engineer, Data Center Electrical Products", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 116800.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T02:40:25.324", "fingerprint" : "33b32840194e7b93fe9bb89432e946644a427bdd3dac8d672cf8980ef7dd977b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3195096/apply", "externalId" : "fad8f479-ed27-492f-b994-257180812459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Herndon, Virginia, United States; Austin, Texas, United States; Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Electrical Engineering, Electronics", "professionalSkills" : [ "Product design", "Electrical infrastructure", "Root cause analysis", "Product lifecycle management" ], "hardSkillsList" : [ "Electrical equipment specifications", "Manufacturing quality", "Electronics design", "Instrumentation control schematics", "Component integration" ], "hardSkills" : [ { "name" : "Electrical equipment specifications", "level" : "intermediate" }, { "name" : "Manufacturing quality", "level" : "intermediate" }, { "name" : "Electronics design", "level" : "intermediate" }, { "name" : "Instrumentation control schematics", "level" : "intermediate" }, { "name" : "Component integration", "level" : "intermediate" } ], "majorSkills" : "Electrical product design, Data center electrical, Product lifecycle", "majorSkillsList" : [ "Electrical product design", "Data center electrical", "Product lifecycle" ], "coreResponsibilities" : "Provide electrical infrastructure support, Collaborate with product development team, Gain deep understanding of products, Have engineering ownership of product, Be a global engineering resource, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with global suppliers, Work with manufacturers, Build trust with stakeholders, Work on concurrent projects, Understand complex systems, Explain complex systems, Provide support to Field Engineering, Collaborate with quality team, Support maintenance, Support troubleshooting, Review operating procedures, Listen to customer voice, Understand product improvements, Increase product reliability, Increase product availability, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Cross-functional teams; Global electrical equipment suppliers; Global manufacturers; Product development team; Field Engineering; Quality team", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Electrical infrastructure; Data center operations; Electrical equipment; Electronics; Electric code; Data center designs; Data center architectures", "domainList" : [ "electrical-infrastructure", "data-center-operations", "electrical-equipment", "electronics", "electric-code", "data-center-designs", "data-center-architectures" ], "domainSpecificKnowledge" : [ "Electrical infrastructure", "Data center operations", "Electrical equipment", "Electronics", "Electric code", "Data center designs", "Data center architectures" ], "communicationSkills" : "Explain complex systems", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Intermittent travel, 30% travel, Domestic travel, International travel", "outcomesObjectives" : "Improve product reliability; Improve product availability; Drive continuous improvement", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 5+ years developing electrical products, 5+ years with systems or components, Experience launching products into production", "qualificationsPreferred" : "Ability to design for manufacturability, Create assembly specifications, Work with contract manufacturers, Interpret electric code NEC, Interpret NFPA, Interpret UL891, Interpret UL508, Interpret ANSI C37, Interpret IEC 62271, Interpret IEC61439, Experience with instrumentation control schematics, Experience with integration of electronics components, Knowledge of data center designs, Knowledge of data center architectures, Following industry design trends", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking an electrical engineer to be part of a global engineering team responsible for ownership and continuous improvement related to electrical infrastructure products within our rapidly expanding data center footprint. This position can be based out of Herndon VA, Austin, TX or Columbus, OH. We are looking for engineers with hands on design, manufacturing and installation experience of electrical products. If you have experience leading product design of electrical products, have an understanding of electronics, and know how products should be manufactured to ensure quality you may be a good fit. You should be capable of understanding detailed electrical equipment specifications and evaluating the merit and risks of design changes. As a Global AWS Product Lifecycle Engineer, you will provide electrical infrastructure support to AWS data centers. You will collaborate with the product development team to gain deep understanding of all facets of each product as they are being developed and tested, and then have engineering ownership of the product through its operational life. You will be a global ‘go-to’ engineering resource for electrical AWS products deployed in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. Key job responsibilities • Review, update, and approve equipment submittals • Work with global electrical equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Provide support to Field Engineering for root cause analysis, with collaboration with quality team for component-level investigations, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - 5+ years developing electrical and/or electronics products and launching them into production - 5+ years with systems or components including wiring, connectors, relays, circuit breakers, switchgear and/or transformers. Preferred Qualifications: - Ability to design for manufacturability, create assembly specifications and work with contract manufacturers. - Knowledge and experience to interpret electric code NEC, NFPA, UL891, UL508, ANSI C37 or IEC 62271 or IEC61439. - Experience with electronics including instrumentation control schematics and integration of electronics components. - Knowledge of typical data center designs/architectures, and be following industry design trends. 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, OH, COLUMBUS - 116,800.00 - 160,000.00 USD annually USA, TX, Austin - 116,800.00 - 160,000.00 USD annually USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually", "summaryDescription" : "Product Lifecycle Electrical Engineer, Data Center Electrical Products at Amazon Data Services, Inc.. Skills: Electrical product design, Data center electrical, Product lifecycle. Provide electrical infrastructure support. Collaborate with product development team", "postedDate" : "2026-06-13T03:54:19.569", "createdAt" : "2026-06-13T03:54:19.569", "lastUpdated" : "2026-06-15T02:40:25.324", "ingestTimestamp" : "2026-06-13T03:54:19.569", "mongoId" : "69c94a869bc74574cbbb4f78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3195096/apply", "salaryAnnualMin" : 116800, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical equipment specifications", "Manufacturing quality", "Electronics design", "Instrumentation control schematics", "Component integration", "Electrical product design", "Data center electrical", "Product lifecycle", "Product design", "Electrical infrastructure", "Root cause analysis", "Product lifecycle management", "Concurrent projects", "Data center operations", "Electrical equipment", "Electronics", "Electric code", "Data center designs", "Data center architectures" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "68e6b1dc70f0b99d58d66e5c", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:37:36.559", "fingerprint" : "ee9d92ef6247b9795a36ce8deace91f1cf37f938f507444740933c4f64bfc557", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102501/apply", "externalId" : "bb6f45af-409c-4378-a3d8-6794210f5321", "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" : "GenAI, Deep learning, Machine learning, LLMs, Probabilistic modeling, Optimization, Java, C++, Python", "professionalSkills" : [ "Model development", "Model deployment", "Computational advertising", "Ad economics", "Advertiser performance metrics" ], "hardSkillsList" : [ "Model building", "Algorithm implementation", "Rapid experimentation", "Scaling infrastructure" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model building", "level" : "intermediate" }, { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Rapid experimentation", "level" : "intermediate" }, { "name" : "Scaling infrastructure", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Deep Learning, LLMs, Optimization", "majorSkillsList" : [ "Generative AI", "Deep Learning", "LLMs", "Optimization" ], "coreResponsibilities" : "Contribute to design and development of GenAI, deep, Transform ad retrieval, auctions, whole-page relevance, or bespoke, Collaborate cross-functionally with scientists, engineers, and product managers, Bring scalable, production-ready science solutions to life, Stay abreast of industry trends in GenAI, LLMs, Bring fresh and innovative concepts, ideas, and prototypes, Contribute to enhancement of team’s scientific and technical, Identify and implement best-in-class algorithms, methodologies, and infrastructure, Enable rapid experimentation and scaling, Mentor and grow junior scientists and engineers, Cultivate a high-performing, collaborative, and intellectually curious team, Contribute to development in Generative AI and Large, Revolutionize advertising flow, backend optimization, and frontend shopping, Redefine how ads are retrieved, allocated, and experienced, Elevate ads into personalized, contextually aware, and inspiring, Transform ad retrieval, ad allocation, whole-page relevance, and, Build novel generative models grounded in Amazon’s data, Shape how customers engage with ads, discover products,, Apply frontier AI to real-world problems with massive, Define the next chapter of advertising science, Build delightful ad experiences across various surfaces beyond, Drive monetization, Deliver highly personalized, context-aware advertising, Adapt advertising to individual shopper preferences, Scale advertising across diverse page types, Integrate advertising seamlessly with organic recommendations, Lead the expansion and growth of advertising across, Operate full stack from backend services to shopper-facing, Deliver meaningful value", "teamCollaboration" : "Cross-functionally with scientists, engineers, and product managers; Partnership with Amazon Stores stakeholders", "domainKnowledge" : "Generative AI; Large Language Models; Multi-objective optimization; Reinforcement learning; Computational advertising; Auction theory; Ad economics", "domainList" : [ "generative-ai", "large-language-models", "multi-objective-optimization", "reinforcement-learning", "computational-advertising", "auction-theory", "ad-economics" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Multi-objective optimization", "Reinforcement learning", "Computational advertising", "Auction theory", "Ad economics" ], "communicationSkills" : "Communicate complex technical topics", "innovationCreativity" : "Innovative concepts; Innovative ideas; Prototype development", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "PhD or Master's degree and 4+ years experience, 3+ years building models for business application, Experience programming in Java, C++, Python, Foundation in GenAI, LLMs, ML, DL, probabilistic modeling, or optimization, Experience developing and deploying models in production", "qualificationsPreferred" : "Expertise in Generative AI, foundation models, LLMs, Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization, Deep understanding of multi-modal modeling, few-shot learning, RAG, or RLHF, Experience with online experimentation, A/B testing frameworks, and metrics design, Demonstrated ability to communicate complex technical topics, Experience in computational advertising", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. - Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life. - Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. - Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization. - Experience developing and deploying models in real-world production environments. Preferred Qualifications: - Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks. - Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. - Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF). - Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce. - Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences. - Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Deep Learning, LLMs, Optimization. Contribute to design and development of GenAI, deep. Transform ad retrieval, auctions, whole-page relevance, or bespoke", "postedDate" : "2026-06-13T17:00:26.850", "createdAt" : "2026-06-13T17:00:26.850", "lastUpdated" : "2026-06-15T04:37:36.559", "ingestTimestamp" : "2026-06-13T17:00:26.850", "mongoId" : "68e6b1dc70f0b99d58d66e5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102501/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model building", "Algorithm implementation", "Rapid experimentation", "Scaling infrastructure", "Mentoring", "Generative AI", "Deep Learning", "LLMs", "Optimization", "Model development", "Model deployment", "Computational advertising", "Ad economics", "Advertiser performance metrics", "Large Language Models", "Multi-objective optimization", "Reinforcement learning", "Auction theory" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69f519c94c40e2acd1eb1bf0", "title" : "Mechanical/Electrical Integration Lead, OMHS", "company" : "Amazon.com Services LLC", "industry" : "Operations, IT, Support Engineering, Ops Engineering, fulfillment technology and robotics", "salary" : { "min" : 91800.0, "max" : 137700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Atlanta, Georgia, USA", "locations" : [ "Atlanta, Georgia, USA" ], "timestamp" : "2026-06-14T23:42:32.106", "fingerprint" : "8e0e6b5322a717e7fadd05f6cc163fe12bbc0443d13d8ebfe5a2d72b2d819000", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409184/apply", "externalId" : "922c7d9d-556e-4b62-9b3e-d7fb744b2f32", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AutoCAD, VBA, SQL", "professionalSkills" : [ "Automation integration", "Material handling systems", "Project management", "Technical expertise", "Process improvement", "Vendor management" ], "hardSkillsList" : [ "Mechanical engineering", "Electrical engineering", "Systems integration", "Project execution", "Technical documentation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Mechanical engineering", "level" : "intermediate" }, { "name" : "Electrical engineering", "level" : "intermediate" }, { "name" : "Systems integration", "level" : "intermediate" }, { "name" : "Project execution", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Mechanical integration, Electrical integration, Automation deployment, Project leadership", "majorSkillsList" : [ "Mechanical integration", "Electrical integration", "Automation deployment", "Project leadership" ], "coreResponsibilities" : "Lead installation crews deploying material handling equipment, Lead delivery of complex projects, Provide technical expertise for automation initiatives, Implement technical solutions, Lead project level decisions, Follow technical standards, Develop technical standards, Work cross-functionally with teams, Participate in technical reviews, Drive engineering excellence, Implement scalable solutions, Recommend process improvements, Implement process improvements, Create technical documentation, Maintain technical documentation, Drive achievement of safety metrics, Drive achievement of timeline metrics, Drive achievement of cost metrics, Drive achievement of quality metrics, Provide technical input to leadership, Manage relationships with vendors, Manage relationships with partners", "teamCollaboration" : "Cross-functional teams; Engineering teams; Supply chain teams; Operations teams", "projectManagementSkills" : [ "Project execution", "Multi-site programs" ], "domainKnowledge" : "Automation systems; Material handling; Logistics; Manufacturing environment; Industrial engineering; Operations engineering; Manufacturing engineering; Project engineering; OEM experience", "domainList" : [ "automation-systems", "material-handling", "logistics", "manufacturing-environment", "industrial-engineering", "operations-engineering", "manufacturing-engineering", "project-engineering", "oem-experience" ], "domainSpecificKnowledge" : [ "Automation systems", "Material handling", "Logistics", "Manufacturing environment", "Industrial engineering", "Operations engineering", "Manufacturing engineering", "Project engineering", "OEM experience" ], "toolProficiency" : [ "AutoCAD", "VBA", "SQL" ], "communicationSkills" : "Technical documentation; Leadership input", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Resolve technical issues", "specialRequirements" : "Up to 50% travel", "outcomesObjectives" : "Meet safety standards; Meet timeline standards; Meet cost standards; Meet quality standards; Deliver high-impact results", "qualificationsBasic" : "Bachelor's degree, Supervisory role managing people, Fast-paced, automated, industrial, logistics, production or manufacturing environment experience, 5+ years industrial engineer, operations engineer, manufacturing engineer, or project engineer experience, Ability to travel up to 50% domestically, 10+ years OEM experience in MIL/EIL scope", "qualificationsPreferred" : "Experience of automated equipment, Experience in preventative maintenance systems, AutoCAD, VBA, and SQL at intermediate level, Experience working with and managing third party vendors, Experience with Six Sigma, lean manufacturing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Applications will be accepted on an ongoing basis Amazon is seeking a Mechanical or Electrical Integration Lead to drive the successful installation, integration, and deployment of automation and material handling systems across multiple facilities. This role provides mechanical engineering expertise in complex automation environments, ensuring projects meet Amazon’s safety, timeline, cost, and quality standards. The Mechanical or Electrical Integration Lead will Lead will manage installation crews installing material handling equipment across North America, collaborate across engineering, supply chain, and operations to implement scalable solutions, resolve technical issues, and deliver high-impact results across large, multi-site programs. Key job responsibilities Lead installation crews deploying material handling equipment across North American facilities Lead delivery of complex projects with multi-site impact. Provide technical expertise for automation initiatives across assigned sites Implement technical solutions and lead project level decisions Follow and help develop technical standards and best practices Work cross-functionally with engineering, supply chain, and operations teams Participate in technical reviews and drive engineering excellence Implement scalable solutions across assigned facilities Recommend and implement process improvements Create and maintain technical documentation Drive achievement of safety, timeline, cost, and quality metrics Provide technical input to leadership for decision-making Manage relationships with vendors and partners A day in the life As a Operations Engineer, you will serve as a technical expert in the integration and deployment of automation and material handling solutions. This role requires strong technical expertise and the ability to collaborate across organizations to drive implementations and improvements across multiple sites. Basic Qualifications: - Bachelor's degree - Experience in engineering including a supervisory role managing people - Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment - 5+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience - Ability to travel up to 50% domestically - 10+ years of OEM experience in MIL/EIL scope may be considered in lieu of a Bachelor's degree. Preferred Qualifications: - Experience of automated equipment including packaging machinery, sortation and conveyor systems - Experience in preventative maintenance systems - Knowledge of AutoCAD, VBA, and SQL at the intermediate level - Experience working with and managing third party vendors - Experience with Six Sigma, lean manufacturing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, LOS ANGELES - 91,800.00 - 137,700.00 USD annually USA, CA, Los Angeles - 91,800.00 - 137,700.00 USD annually USA, CO, DENVER - 91,800.00 - 137,700.00 USD annually USA, CO, Denver - 91,800.00 - 137,700.00 USD annually USA, CO, Glendale - 91,800.00 - 137,700.00 USD annually USA, GA, ATLANTA - 91,800.00 - 137,700.00 USD annually USA, GA, Atlanta - 91,800.00 - 137,700.00 USD annually USA, IL, CHICAGO - 91,800.00 - 137,700.00 USD annually USA, IL, Chicago - 91,800.00 - 137,700.00 USD annually USA, MI, DETROIT - 91,800.00 - 137,700.00 USD annually USA, MI, Detroit - 91,800.00 - 137,700.00 USD annually USA, MI, ROYAL OAK - 91,800.00 - 137,700.00 USD annually USA, TN, NASHVILLE - 82,600.00 - 123,900.00 USD annually USA, TN, Nashville - 82,600.00 - 123,900.00 USD annually USA, TX, AUSTIN - 91,800.00 - 137,700.00 USD annually USA, TX, Austin - 91,800.00 - 137,700.00 USD annually USA, TX, DALLAS - 91,800.00 - 137,700.00 USD annually USA, TX, Dallas - 91,800.00 - 137,700.00 USD annually USA, TX, HOUSTON - 91,800.00 - 137,700.00 USD annually USA, TX, Houston - 91,800.00 - 137,700.00 USD annually USA, WA, SEATTLE - 91,800.00 - 137,700.00 USD annually USA, WA, Seattle - 91,800.00 - 137,700.00 USD annually", "summaryDescription" : "Mechanical/Electrical Integration Lead, OMHS at Amazon.com Services LLC. Skills: Mechanical integration, Electrical integration, Automation deployment, Project leadership. Lead installation crews deploying material handling equipment. Lead delivery of complex projects", "postedDate" : "2026-06-13T07:26:07.767", "createdAt" : "2026-06-13T07:26:07.767", "lastUpdated" : "2026-06-14T23:42:32.106", "ingestTimestamp" : "2026-06-13T07:26:07.767", "mongoId" : "69f519c94c40e2acd1eb1bf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409184/apply", "salaryAnnualMin" : 91800, "salaryAnnualMax" : 137700, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering", "Electrical engineering", "Systems integration", "Project execution", "Technical documentation", "Leadership", "Mechanical integration", "Electrical integration", "Automation deployment", "Project leadership", "Automation integration", "Material handling systems", "Project management", "Technical expertise", "Process improvement", "Vendor management", "Multi-site programs", "Automation systems", "Material handling", "Logistics", "Manufacturing environment", "Industrial engineering", "Operations engineering", "Manufacturing engineering", "Project engineering", "OEM experience", "AutoCAD", "VBA", "SQL" ], "skillCount" : 29, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7ce074d8ee00a094e8ec", "title" : "Mechanical Engineer", "company" : "Heven AeroTech", "industry" : "Manufacturing", "salary" : { "min" : 90000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bingen, Washington, United States", "locations" : [ "Bingen", "Washington", "United States" ], "timestamp" : "2026-06-15T08:35:47.355", "fingerprint" : "ea55574b215a809fbb9a1681ae269613bee87652531f0d2202dd9046146293e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hevenaerotech/jobs/4209883009", "externalId" : "4209883009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bingen", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.7148416,-121.4645170" } ], "locationText" : "Bingen, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "CAD modeling", "professionalSkills" : [ "Design for manufacturability", "Structural performance" ], "hardSkillsList" : [ "Mechanical engineering principles", "CAD modeling", "Documentation standards", "Test setups", "Fixture preparation", "Validation procedures" ], "softSkillsList" : [ "Team-first mindset", "Willingness to learn", "Interpersonal awareness", "Humble", "Hungry", "Smart", "Respect", "Openness to input", "Structured problem-solving" ], "hardSkills" : [ { "name" : "Mechanical engineering principles", "level" : "intermediate" }, { "name" : "CAD modeling", "level" : "intermediate" }, { "name" : "Documentation standards", "level" : "intermediate" }, { "name" : "Test setups", "level" : "intermediate" }, { "name" : "Fixture preparation", "level" : "intermediate" }, { "name" : "Validation procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Team-first mindset" }, { "name" : "Willingness to learn" }, { "name" : "Interpersonal awareness" }, { "name" : "Humble" }, { "name" : "Hungry" }, { "name" : "Smart" }, { "name" : "Respect" }, { "name" : "Openness to input" }, { "name" : "Structured problem-solving" } ], "majorSkills" : "Mechanical design, Airframe structures, Tooling design, Prototype builds", "majorSkillsList" : [ "Mechanical design", "Airframe structures", "Tooling design", "Prototype builds" ], "coreResponsibilities" : "Support design of airframe structures, Support documentation of airframe structures, Support design of assemblies, Support documentation of assemblies, Support design of tooling, Support documentation of tooling, Refine CAD models, Refine drawings, Refine analyses, Participate in prototype builds, Seek feedback on designs, Incorporate guidance, Support integration of mechanical components, Assist with test setups, Assist with fixture preparation, Assist with execution of validation procedures, Document results clearly, Escalate issues appropriately, Contribute to readiness reviews, Demonstrate awareness of work impact, Collaborate with engineers, Collaborate with technicians, Collaborate with manufacturing staff, Support design activities, Support build activities, Approach teamwork with respect, Communicate clearly, Communicate constructively, Adapt communication style, Look for opportunities to improve processes, Look for opportunities to improve documentation, Look for opportunities to improve team efficiency, Participate in team reviews, Apply feedback to improve work, Complete assigned project tasks, Take ownership of assigned work, Follow through reliably on commitments, Provide clear updates, Provide timely updates, Support progress tracking, Contribute to project success, Follow engineering processes, Raise risks early, Support subsystem documentation, Support prototype builds, Support test readiness activities, Perform work in office environments, Perform work in industrial environments, Perform work in laboratory environments, Sit at desk, Work on computer, Use CAD, Use documentation tools, Stand, Walk, Move throughout engineering labs, Move throughout manufacturing areas, Move throughout test sites, Use hands for fine manipulation, Assemble small components, Operate tools, Handle test equipment, Lift items up to 25 pounds, Carry items up to 25 pounds, Lift items up to 40 pounds, Carry items up to 40 pounds, Read technical drawings, Read computer screens, Read measurement instruments, Wear required PPE, Operate basic lab equipment, Work around basic lab equipment, Operate basic shop equipment, Work around basic shop equipment, Travel for testing, Travel for field support, Travel for collaboration", "teamCollaboration" : "Collaborate across the team; Collaborate across functions; Work with engineers; Work with technicians; Work with manufacturing staff; Support team success; Support others' success", "projectManagementSkills" : [ "Cost parameters", "Schedule parameters", "Quality parameters", "Progress tracking" ], "domainKnowledge" : "Hydrogen-powered drones; Unmanned aerial platforms; Airframe structures; UAV; Aerospace; Defense; Complex hardware development", "domainList" : [ "hydrogen-powered-drones", "unmanned-aerial-platforms", "airframe-structures", "uav", "aerospace", "defense", "complex-hardware-development" ], "domainSpecificKnowledge" : [ "Hydrogen-powered drones", "Unmanned aerial platforms", "Airframe structures", "UAV", "Aerospace", "Defense", "Complex hardware development" ], "toolProficiency" : [ "Microsoft Office Suite", "SolidWorks", "CATIA", "Creo" ], "communicationSkills" : "Communicate clearly; Communicate constructively; Adapt communication style", "documentationSkills" : "Documentation standards; CAD documentation; Subsystem documentation", "continuousLearning" : "Continuously develop skills", "innovationCreativity" : "Innovation thrives", "problemSolvingSkills" : "Troubleshoot basic engineering issues; Structured problem-solving methods", "specialRequirements" : "Ability to lift 25-40 pounds, Occasional travel required", "outcomesObjectives" : "Contribute to team success; Develop sound engineering judgment; Meet performance requirements; Meet manufacturability requirements; Complete project tasks; Meet cost parameters; Meet schedule parameters; Meet quality parameters", "qualificationsBasic" : "Foundational mechanical engineering principles, CAD modeling, Documentation standards, Troubleshoot basic engineering issues, Structured problem-solving methods, Microsoft Office Suite proficiency, Basic digital documentation workflows, Basic engineering workflows", "qualificationsPreferred" : "Exposure to composite materials, Exposure to airframe structures, Exposure to lightweight mechanical systems, Familiarity with GD&T, Familiarity with drafting standards, Experience with SolidWorks, Experience with CATIA, Experience with Creo, Hands-on prototyping experience, Shop experience, Lab experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Title: Mechanical Engineer I Company: Heven AeroTech Location: Bingen, Washington FLSA: Exempt About Our Company: At Heven AeroTech (Heven), we don’t just believe in the power of people—we build our success on it. As a recognized leader in hydrogen-powered drones, we’ve earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust and a shared commitment to excellence. We believe great teams are built on individuals who are humble, hungry, and smart—those who put team success first, take initiative to continuously improve, and demonstrate strong interpersonal awareness. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact as you grow through hands-on experience and collaboration across the team. Role Summary: The Mechanical Engineer I supports the design, documentation, testing, and integration of mechanical systems for unmanned aerial platforms. This role contributes to the development of airframe structures, assemblies, and tooling, with exposure to design for manufacturability and structural performance. This position is well-suited for an early-career engineer who demonstrates strong initiative, a willingness to learn, and a team-first mindset. The engineer works under guidance from senior team members while building technical depth, contributing to team success, and developing sound engineering judgment in a collaborative, fast-paced environment. Essential Responsibilities: Support the design and documentation of airframe structures, assemblies, and tooling under the guidance of senior engineers. Assist with refining CAD models, drawings, and analyses to meet performance and manufacturability requirements. Participate in prototype builds, demonstrating a proactive willingness to learn and contribute hands-on. Seek feedback on designs and incorporate guidance to improve technical quality and execution. Support integration of mechanical components into airframe assemblies under guidance. Assist with test setups, fixture preparation, and execution of validation procedures. Document results clearly, escalate issues appropriately, and contribute to readiness reviews. Demonstrate awareness of how work impacts other teams and overall system performance. Collaborate with engineers, technicians, and manufacturing staff to support design and build activities. Approach teamwork with respect, openness to input, and willingness to support others’ success. Communicate clearly and constructively across functions, adapting style to the audience. Actively look for opportunities to improve processes, documentation, and team efficiency. Participate in team reviews and apply feedback to continuously improve work quality. Complete assigned project tasks within defined cost, schedule, and quality parameters. Take ownership of assigned work and follow through reliably on commitments. Provide clear and timely updates to project engineers and support progress tracking. Contribute to project success by following engineering processes and raising risks early. Support subsystem documentation, prototype builds, and test readiness activities. Other duties as assigned. Qualifications internships, co-op work, or academic projects in related areas are accepted, preferably in UAV, aerospace, defense, or other complex hardware development environments. Demonstrates curiosity, strong work ethic, and a desire to take on new challenges; seeks opportunities to contribute beyond assigned tasks and continuously develop skills. Open to feedback, willing to learn from others, and values team success over personal recognition; shows respect for diverse perspectives and contributions. Communicates effectively, collaborates across functions, and understands the impact of their work on teammates and program outcomes. Foundational knowledge of mechanical engineering principles, CAD modeling, and documentation standards. Ability to troubleshoot basic engineering issues with guidance and apply structured problem-solving methods. Adjusts to evolving technical tasks and team needs in a fast-paced environment. Effectively manages priorities and meets deadlines with guidance. Proficient with Microsoft Office Suite and able to navigate basic digital documentation and engineering workflows. Preferred: Exposure to composite materials, airframe structures, or lightweight mechanical systems Familiarity with GD&T (Geometric Dimensioning & Tolerancing) and drafting standards Experience with common CAD tools (e.g., SolidWorks, CATIA, or Creo) Hands-on prototyping, shop, or lab experience Physical Requirements: Ability to perform work in both office and light industrial/laboratory environments. Prolonged periods of sitting at a desk and working on a computer, including CAD and documentation tasks. Ability to stand, walk, and move throughout engineering labs, manufacturing areas, and test sites. Ability to use hands for fine manipulation, including assembling small components, operating tools, and handling test equipment. Ability to occasionally lift and carry items up to 25–40 pounds (e.g., components, tooling, test equipment). Visual acuity sufficient to read technical drawings, computer screens, and measurement instruments. Ability to wear required personal protective equipment (PPE) such as safety glasses, gloves, and hearing protection in designated areas. Ability to safely operate or work around basic lab and shop equipment with appropriate training. Occasional travel may be required for testing, field support, or collaboration with other teams. Ability to work in environments with varying noise levels, temperatures, and conditions typical of labs, manufacturing floors, and test ranges. Benefits Overview: Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability. Equal Employment Opportunity Statement: Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. Salary Range: $90,000—$120,000 USD", "summaryDescription" : "Mechanical Engineer at Heven AeroTech. Skills: Mechanical design, Airframe structures, Tooling design, Prototype builds. Support design of airframe structures. Support documentation of airframe structures", "postedDate" : "2026-06-14T08:19:16.033", "createdAt" : "2026-06-14T08:19:16.033", "lastUpdated" : "2026-06-15T08:35:47.355", "ingestTimestamp" : "2026-06-14T08:19:16.033", "mongoId" : "6a2c7ce074d8ee00a094e8ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical engineering principles", "CAD modeling", "Documentation standards", "Test setups", "Fixture preparation", "Validation procedures", "Team-first mindset", "Willingness to learn", "Interpersonal awareness", "Humble", "Hungry", "Smart", "Respect", "Openness to input", "Structured problem-solving", "Mechanical design", "Airframe structures", "Tooling design", "Prototype builds", "Design for manufacturability", "Structural performance", "Cost parameters", "Schedule parameters", "Quality parameters", "Progress tracking", "Hydrogen-powered drones", "Unmanned aerial platforms", "UAV", "Aerospace", "Defense", "Complex hardware development", "Microsoft Office Suite", "SolidWorks", "CATIA", "Creo" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a24e79074d8ee00a0026b7f", "title" : "Applied AI Product Engineer", "company" : "VetsEZ", "industry" : "Healthcare", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Applied AI Product Engineer in the Healthcare industry, adjusted for a remote role in India." }, "location" : "Seattle, WA", "locations" : [ "Philadelphia", "PA", "San Francisco", "CA", "Seattle", "WA" ], "timestamp" : "2026-06-15T05:02:41.210", "fingerprint" : "da3f375babc5f5add254431f7165a6faeeea56c9b921c8b50ebde5cb7d3c3f99", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vetsez.breezy.hr/p/d5d2dbdc7d0901-applied-ai-product-engineer-remote-opportunity", "externalId" : "d5d2dbdc7d0901", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Build intelligent healthcare technology platforms, Build next-generation AI-driven solutions", "domainKnowledge" : "Healthcare technology; AI-driven solutions", "domainList" : [ "healthcare-technology", "ai-driven-solutions" ], "domainSpecificKnowledge" : [ "Healthcare technology", "AI-driven solutions" ], "innovationCreativity" : "AI innovation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery", "summaryDescription" : "Applied AI Product Engineer at VetsEZ. Build intelligent healthcare technology platforms. Build next-generation AI-driven solutions", "createdAt" : "2026-06-14T06:58:26.291", "lastUpdated" : "2026-06-15T05:02:41.210", "ingestTimestamp" : "2026-06-14T06:58:26.291", "mongoId" : "6a24e79074d8ee00a0026b7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Healthcare technology", "AI-driven solutions" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1dc70f0b99d58d66e58", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:40:28.487", "fingerprint" : "71d894ac3d77d55cd2dc99ee85c9fa9105a2ca6aef353498099f24d3861ace27", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102514/apply", "externalId" : "dc88749d-d65e-40c6-9366-9088f849c06a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Java, C++, Python, GenAI, Unix/Linux", "professionalSkills" : [ "Model development", "Video understanding" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Model development, Video understanding", "majorSkillsList" : [ "Generative AI", "Model development", "Video understanding" ], "coreResponsibilities" : "Participate in Science hiring process, Mentor other scientists, Identify and devise new video related solutions, Address customer or business problems, Articulate potential scientific challenges, Present interventions to address them, Independently assess alternative video related technologies, Driving evaluation and adoption of technologies, Work with a team of engineers, scientists, and, Help bring new products to market, Ensure customers are delighted, Design, development, and implementation of Sponsored Brands Video, Create relevant and engaging video experiences, Connect advertisers and shoppers", "teamCollaboration" : "Team of engineers, scientists, designers", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Generative AI; Video understanding", "domainList" : [ "sponsored-products", "sponsored-brands", "generative-ai", "video-understanding" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Generative AI", "Video understanding" ], "innovationCreativity" : "Re-imagining advertising landscape; Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "Master's degree and 4+ years experience, 3+ years building models, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience and understanding of GenAI-based model development, Experience with video understanding", "qualificationsPreferred" : "PhD preferred, Experience using Unix/Linux, Experience in professional software development, Familiarity with GenAI methods for post-training, Familiarity with fine-tuning, Familiarity with model optimizations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done. Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level. Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them. Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best A day in the life As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide. About the team The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, & personal. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience and understanding of GenAI-based model development as applied to video understanding Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Familiarity with GenAI methods for post-training, fine-tuning, and model optimizations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Model development, Video understanding. Participate in Science hiring process. Mentor other scientists", "postedDate" : "2026-06-13T11:02:46.571", "createdAt" : "2026-06-13T11:02:46.571", "lastUpdated" : "2026-06-15T03:40:28.487", "ingestTimestamp" : "2026-06-13T11:02:46.571", "mongoId" : "68e6b1dc70f0b99d58d66e58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102514/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Mentoring", "Generative AI", "Model development", "Video understanding", "Sponsored Products", "Sponsored Brands" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69e104422beec4dd3def2879", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T03:14:31.259", "fingerprint" : "64ba158c6bde342a4eaa34cce4e9d94388c627c001015cce5015eac9b02f64a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385985/apply", "externalId" : "ef8562eb-cdcd-47cc-a5f9-8a6e9117a387", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, Generative AI, AI, Python, Java, C++, LLMs", "professionalSkills" : [ "Ad tech", "Shopping experiences", "Product development", "Engineering solutions", "Science solutions", "Data analysis", "Model development", "Model validation", "Model serving", "Science vision", "Business understanding" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning modeling", "Proof-of-concept development", "Model experimentation", "Model optimization", "Model deployment", "A/B testing", "Data analysis", "Machine learning", "Model validation", "Model serving", "Large language models", "Model fine tuning", "Prompt engineering" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Proof-of-concept development", "level" : "intermediate" }, { "name" : "Model experimentation", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Model fine tuning", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Generative AI, Data Science, Ad Tech", "majorSkillsList" : [ "Machine Learning", "Generative AI", "Data Science", "Ad Tech" ], "coreResponsibilities" : "Drive Machine Learning projects, Perform data analysis, Perform data modeling, Develop insights, Build machine learning models, Perform proof-of-concept, Experiment with models, Optimize models, Deploy models, Work with software engineers, Assist in productionizing models, Run A/B experiments, Gather data, Perform statistical analysis, Establish scalable processes, Establish efficient processes, Establish automated processes, Research machine learning approaches", "teamCollaboration" : "External partners; Internal partners; Software engineers; Product teams; Engineering teams", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; Generative AI; Ad tech; Shopping experiences; Digital advertising; Large language models", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "generative-ai", "ad-tech", "shopping-experiences", "digital-advertising", "large-language-models" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Generative AI", "Ad tech", "Shopping experiences", "Digital advertising", "Large language models" ], "innovationCreativity" : "Re-imagining advertising; Re-inventing advertising experiences; Innovators; Invent new experiences; Experiment; Innovate", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Increase traffic monetization; Increase merchandise sales; Drive results at scale; Help suppliers grow business; Influence customer-facing experiences", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, PhD and 4+ years experience, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience in algorithms, Experience in data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "PhD preferred, Experience in search advertising, Experience in search marketing, Experience in performance advertising, Technical fluency in Generative AI, Deep understanding of LLMs, Deep understanding of model fine tuning, Deep understanding of prompt engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. As an Applied Scientist on this team, you will: - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace 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. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in professional software development - Experience in search advertising, search marketing, performance advertising, or similar digital advertising - Strong technical fluency in Generative AI - Deep understanding of large language models (LLMs), model fine tuning and prompt engineering - Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field 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 - 172,400.00 - 223,400.00 USD annually USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Machine Learning, Generative AI, Data Science, Ad Tech. Drive Machine Learning projects. Perform data analysis", "postedDate" : "2026-06-13T09:41:42.509", "createdAt" : "2026-06-13T09:41:42.509", "lastUpdated" : "2026-06-15T03:14:31.259", "ingestTimestamp" : "2026-06-13T09:41:42.509", "mongoId" : "69e104422beec4dd3def2879", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385985/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning modeling", "Proof-of-concept development", "Model experimentation", "Model optimization", "Model deployment", "A/B testing", "Data analysis", "Machine learning", "Model validation", "Model serving", "Large language models", "Model fine tuning", "Prompt engineering", "Machine Learning", "Generative AI", "Data Science", "Ad Tech", "Ad tech", "Shopping experiences", "Product development", "Engineering solutions", "Science solutions", "Model development", "Science vision", "Business understanding", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Digital advertising" ], "skillCount" : 31, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e6b1dd70f0b99d58d66e9e", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:25:53.024", "fingerprint" : "5c01477a2e5ba29dc61ba14b1260c332d145e28c807cbcb832f7513ec0b41e82", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102454/apply", "externalId" : "374c6041-bf26-493d-9425-b8211c84cb9b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, Deep learning, Multi-objective optimization, Reinforcement learning, LLMs, Machine learning, Probabilistic modeling, Optimization, Foundation models, Multi-modal modeling, Few-shot learning, Retrieval-augmented generation, RLHF", "professionalSkills" : [ "Ad retrieval", "Ad auctions", "Whole-page relevance", "Shopping experiences", "Ad creation", "Ad optimization", "Performance analysis", "Customer insights", "Ad ranking", "Recommendation systems", "Search", "Personalization", "Auction theory", "Ad economics", "Advertiser performance" ], "hardSkillsList" : [ "Model development", "Model deployment", "Fine-tuning", "A/B testing", "Metrics design" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Large Language Models, Deep Learning, Optimization", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Deep Learning", "Optimization" ], "coreResponsibilities" : "Contribute to design and development of GenAI solutions, Transform ad retrieval, Transform ad auctions, Transform whole-page relevance, Transform bespoke shopping experiences, Collaborate cross-functionally with scientists, engineers, and product managers, Bring scalable, production-ready science solutions to life, Stay abreast of industry trends in GenAI, LLMs, Bring fresh concepts, ideas, and prototypes to organization, Contribute to enhancement of team’s scientific and technical, Identify and implement best-in-class algorithms, Implement best-in-class methodologies, Implement best-in-class infrastructure, Enable rapid experimentation, Enable scaling, Mentor junior scientists, Mentor junior engineers, Grow junior scientists, Grow junior engineers, Cultivate high-performing team, Cultivate intellectually curious team, Contribute to development in Generative AI, Contribute to development in Large Language Models, Revolutionize advertising flow, Revolutionize backend optimization, Revolutionize frontend shopping experiences, Transform ad allocation, Transform differentiated recommendations, Build novel generative models, Shape how customers engage with ads, Shape how customers discover products, Shape customer purchasing decisions, Build delightful ad experiences, Drive monetization, Deliver personalized advertising, Deliver context-aware advertising, Adapt advertising to shopper preferences, Scale advertising across diverse page types, Integrate advertising with organic recommendations, Lead expansion and growth of advertising, Operate full stack, Design backend ads-retail edge services, Design ads retrieval, Design ad auctions, Design shopper-facing experiences", "teamCollaboration" : "Cross-functionally with scientists; Cross-functionally with engineers; Cross-functionally with product managers; Partnership with Amazon Stores stakeholders", "domainKnowledge" : "Computational advertising; Auction theory; Ad economics; Advertiser performance metrics", "domainList" : [ "computational-advertising", "auction-theory", "ad-economics", "advertiser-performance-metrics" ], "domainSpecificKnowledge" : [ "Computational advertising", "Auction theory", "Ad economics", "Advertiser performance metrics" ], "communicationSkills" : "Communicate complex technical topics", "innovationCreativity" : "Innovative concepts; Innovative ideas; Prototype development", "qualificationsBasic" : "Master's degree and 4+ years experience, 3+ years building models, Experience programming in Java, C++, Python, Foundation in GenAI, LLMs, ML, DL, probabilistic modeling, optimization, Experience deploying models in production", "qualificationsPreferred" : "Expertise in Generative AI, foundation models, LLMs, Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization, Deep understanding of multi-modal modeling, few-shot learning, RAG, or RLHF, Experience with online experimentation, A/B testing frameworks, and metrics design, Ability to communicate complex technical topics clearly, Experience in computational advertising", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. - Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life. - Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. - Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization. - Experience developing and deploying models in real-world production environments. Preferred Qualifications: - Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks. - Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. - Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF). - Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce. - Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences. - Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Deep Learning, Optimization. Contribute to design and development of GenAI solutions. Transform ad retrieval", "postedDate" : "2026-06-13T08:41:06.379", "createdAt" : "2026-06-13T08:41:06.379", "lastUpdated" : "2026-06-15T04:25:53.024", "ingestTimestamp" : "2026-06-13T08:41:06.379", "mongoId" : "68e6b1dd70f0b99d58d66e9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102454/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model development", "Model deployment", "Fine-tuning", "A/B testing", "Metrics design", "Mentoring", "Generative AI", "Large Language Models", "Deep Learning", "Optimization", "Ad retrieval", "Ad auctions", "Whole-page relevance", "Shopping experiences", "Ad creation", "Ad optimization", "Performance analysis", "Customer insights", "Ad ranking", "Recommendation systems", "Search", "Personalization", "Auction theory", "Ad economics", "Advertiser performance", "Computational advertising", "Advertiser performance metrics" ], "skillCount" : 27, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2abe2274d8ee00a06ecb7f", "title" : "Chinook product Support Engineer Mechanical", "company" : "Boeing Defence United Kingdom Limited", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Mechanical Product Support Engineers in Aerospace in Gosport, UK, adjusted for company size and industry." }, "location" : "GBR - Gosport, UK", "locations" : [ "GBR - Gosport, UK", "United Kingdom" ], "timestamp" : "2026-06-14T23:25:23.401", "fingerprint" : "61a67b29b272747cc1e25cf37c57d21c4f858e1af72cf4b06b8b45bc026cab5e", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/GBR---Gosport-UK/Chinook-product-Support-Engineer-Mechanical_JR2026514079", "externalId" : "JR2026514079", "structuredLocations" : [ { "city" : "Gosport", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.7952074,-1.1210853" } ], "locationText" : "Gosport, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Mechanical systems, Electrical wiring, Schematics, Functional testing, Control systems", "professionalSkills" : [ "In-service engineering support", "Fault diagnosis", "Root-cause investigations", "Analytical investigations", "Product performance monitoring", "Field data analysis", "Obsolescence management", "Fleet supportability", "Technical leadership", "Engineering judgement", "Engineering analysis", "Continuous improvement", "Technical advice", "Mentorship", "Best practices promotion", "Engineering standards" ], "hardSkillsList" : [ "Aircraft maintenance procedures", "Engineering standards", "Regulatory requirements", "Mechanical system design", "Wiring diagrams", "Functional test data", "Supplier documentation", "Engineering drawings", "Change memos", "Program directives", "Maintenance data", "Repair instructions", "Service Bulletins", "Service Notes", "Structural Repair Manual", "Aircraft Maintenance Manual", "Illustrated Parts Catalogue", "Operations Manual", "Component Maintenance Manual", "Wiring Diagram Manual", "Engineering Instructions", "System problems", "Component problems", "Continued airworthiness", "Efficient operation", "In-service issues", "Obsolescence management", "System engineering management", "System requirement documents", "Verification and validation", "Test evaluation", "Acceptance plans", "Project team leadership", "Financial performance metrics", "Hydraulics", "Airframe", "Power plant", "Environmental control", "Fuel systems", "Electrical systems", "Avionic support equipment", "Rotor-tune techniques", "HUMS" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Aircraft maintenance procedures", "level" : "intermediate" }, { "name" : "Engineering standards", "level" : "intermediate" }, { "name" : "Regulatory requirements", "level" : "intermediate" }, { "name" : "Mechanical system design", "level" : "intermediate" }, { "name" : "Wiring diagrams", "level" : "intermediate" }, { "name" : "Functional test data", "level" : "intermediate" }, { "name" : "Supplier documentation", "level" : "intermediate" }, { "name" : "Engineering drawings", "level" : "intermediate" }, { "name" : "Change memos", "level" : "intermediate" }, { "name" : "Program directives", "level" : "intermediate" }, { "name" : "Maintenance data", "level" : "intermediate" }, { "name" : "Repair instructions", "level" : "intermediate" }, { "name" : "Service Bulletins", "level" : "intermediate" }, { "name" : "Service Notes", "level" : "intermediate" }, { "name" : "Structural Repair Manual", "level" : "intermediate" }, { "name" : "Aircraft Maintenance Manual", "level" : "intermediate" }, { "name" : "Illustrated Parts Catalogue", "level" : "intermediate" }, { "name" : "Operations Manual", "level" : "intermediate" }, { "name" : "Component Maintenance Manual", "level" : "intermediate" }, { "name" : "Wiring Diagram Manual", "level" : "intermediate" }, { "name" : "Engineering Instructions", "level" : "intermediate" }, { "name" : "System problems", "level" : "intermediate" }, { "name" : "Component problems", "level" : "intermediate" }, { "name" : "Continued airworthiness", "level" : "intermediate" }, { "name" : "Efficient operation", "level" : "intermediate" }, { "name" : "In-service issues", "level" : "intermediate" }, { "name" : "Obsolescence management", "level" : "intermediate" }, { "name" : "System engineering management", "level" : "intermediate" }, { "name" : "System requirement documents", "level" : "intermediate" }, { "name" : "Verification and validation", "level" : "intermediate" }, { "name" : "Test evaluation", "level" : "intermediate" }, { "name" : "Acceptance plans", "level" : "intermediate" }, { "name" : "Project team leadership", "level" : "intermediate" }, { "name" : "Financial performance metrics", "level" : "intermediate" }, { "name" : "Hydraulics", "level" : "intermediate" }, { "name" : "Airframe", "level" : "intermediate" }, { "name" : "Power plant", "level" : "intermediate" }, { "name" : "Environmental control", "level" : "intermediate" }, { "name" : "Fuel systems", "level" : "intermediate" }, { "name" : "Electrical systems", "level" : "intermediate" }, { "name" : "Avionic support equipment", "level" : "intermediate" }, { "name" : "Rotor-tune techniques", "level" : "intermediate" }, { "name" : "HUMS", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Chinook experience, Aircraft maintenance, In-service support, Fault diagnosis", "majorSkillsList" : [ "Chinook experience", "Aircraft maintenance", "In-service support", "Fault diagnosis" ], "coreResponsibilities" : "Provide in-service engineering support, Act as primary technical interface, Minimise aircraft downtime, Restore mission capability, Deliver technical leadership, Provide practical support, Conduct fault diagnosis, Interpret mechanical system design, Interpret wiring diagrams, Interpret schematics, Interpret functional test data, Interpret supplier documentation, Interpret engineering drawings, Interpret change memos, Interpret program directives, Define delivery configurations, Define corrective actions, Lead root-cause investigations, Apply rigorous diagnostic methodologies, Convert engineering outcomes into maintenance data, Investigate technical issues, Investigate maintenance issues, Investigate operational issues, Investigate quality issues, Resolve technical issues, Resolve maintenance issues, Resolve operational issues, Resolve quality issues, Undertake analytical investigations, Apply engineering analysis, Resolve component problems, Resolve system problems, Ensure continued airworthiness, Ensure efficient operation, Monitor product performance, Analyse field data, Provide recommendations, Reduce recurrence of in-service issues, Drive continuous improvement, Support obsolescence management, Enhance fleet supportability, Coordinate across internal Boeing functions, Engage with external stakeholders, Deliver end-to-end in-service solutions, Provide technical advice, Provide mentorship to customer personnel, Provide mentorship to Boeing colleagues, Develop best practices, Promote best practices", "teamCollaboration" : "Internal Boeing functions; External stakeholders; RAF operators; MROs; Suppliers; Regulators; Customer personnel; Boeing colleagues", "projectManagementSkills" : [ "Project team leader" ], "domainKnowledge" : "Customer maintenance techniques; Repair processes; Maintenance practices; Retrofit practices; Unplanned event system; Technical orders; Kitting; Overhaul; Depot support; Hydraulics; Airframe; Power plant; Environmental control; Fuel systems; Electrical systems; Avionic support equipment; Rotor-tune techniques; HUMS", "domainList" : [ "customer-maintenance-techniques", "repair-processes", "maintenance-practices", "retrofit-practices", "unplanned-event-system", "technical-orders", "kitting", "overhaul", "depot-support", "hydraulics", "airframe", "power-plant", "environmental-control", "fuel-systems", "electrical-systems", "avionic-support-equipment", "rotor-tune-techniques", "hums" ], "domainSpecificKnowledge" : [ "Customer maintenance techniques", "Repair processes", "Maintenance practices", "Retrofit practices", "Unplanned event system", "Technical orders", "Kitting", "Overhaul", "Depot support", "Hydraulics", "Airframe", "Power plant", "Environmental control", "Fuel systems", "Electrical systems", "Avionic support equipment", "Rotor-tune techniques", "HUMS" ], "toolProficiency" : [ "Aircraft Document Set", "Structural Repair Manual", "Aircraft Maintenance Manual", "Illustrated Parts Catalogue", "Operations Manual", "Component Maintenance Manual", "Wiring Diagram Manual" ], "communicationSkills" : "Written communication; Verbal communication; Technical engagement", "documentationSkills" : "Maintenance data; Repair instructions; Service Bulletins; Service Notes; Change memos", "continuousLearning" : "Continuous learning; Learning Together Programme", "problemSolvingSkills" : "Fault diagnosis; Root-cause investigations; Analytical investigations; Problem resolution", "specialRequirements" : "Eligible for SC clearance, 5 years uninterrupted residency, Security Clearance Process, United Kingdom Security Check", "outcomesObjectives" : "Minimise aircraft downtime; Restore mission capability; Ensure continued airworthiness; Ensure efficient operation; Reduce recurrence of in-service issues; Enhance fleet supportability; Deliver end-to-end solutions", "qualificationsBasic" : "Bachelor of Science degree in Engineering, Eligible for SC clearance, Extensive Chinook experience, Thorough knowledge of aircraft maintenance procedures, Knowledge of engineering standards, Knowledge of regulatory requirements, Practical understanding of mechanical systems, Practical understanding of electrical wiring, Practical understanding of schematics, Practical understanding of functional testing, Practical understanding of control, Extensive knowledge of UK MOD / RAF aircraft maintenance processes, Extensive knowledge of customer maintenance techniques, Extensive knowledge of repair processes, Extensive knowledge of maintenance processes, Extensive knowledge of retrofit processes, Extensive knowledge of all delivered system/hardware, Legal authorisation to work in UK", "qualificationsPreferred" : "Ability to analyze and interpret company products, Develop and influence new strategies, Understand system engineering management plans creation, Knowledge and experience of MoD projects, Chinook project experience, Ability to direct, communicate clearly, delegate, Ensure performance of assigned responsibilities, Identify and resolve issues, Provide solutions and recommendations, Understand financial performance metrics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Chinook product Support Engineer Mechanical **Company:** Boeing Defence United Kingdom Limited We are seeking an experienced Product Support Engineer (PSE) to join the Chinook Rotary Wing Enterprise (RWE) In‑Service Engineering team. Based at Boeing Fleetlands (Gosport) and supporting the UK RAF Chinook fleet, this is a hands‑on, customer‑facing role providing in‑service engineering support and acting as the primary technical interface for maintenance matters. The successful candidate will possess substantial, demonstrable Chinook experience and thorough knowledge of aircraft maintenance procedures, engineering standards and applicable regulatory requirements, and will be accountable for helping to minimise aircraft downtime and restore mission capability. The PSE will deliver technical leadership and practical support for both on‑aircraft and off‑aircraft activities, conducting fault diagnosis using published resources and engineering judgement. This includes the interpretation and application of mechanical system design, wiring diagrams and schematics, functional test data, supplier documentation, engineering drawings, change memos and program directives to define delivery configurations and corrective actions. The role encompasses leading root‑cause investigations, applying rigorous diagnostic methodologies and converting engineering outcomes into authorised maintenance data—such as procedures, repair instructions, Service Bulletins/Notes and change memos—that operators and MROs can implement in the field. Working within the Aircraft Document Set, Structural Repair Manual, Aircraft Maintenance Manual, Illustrated Parts Catalogue, Operations Manual, Component Maintenance Manual, Wiring Diagram Manual and Engineering Instructions, the PSE will investigate and resolve complex technical, maintenance, operational and quality issues. Where discrepancies cannot be resolved by the customer, the PSE will undertake analytical investigations and apply engineering analysis to resolve component and system problems, ensuring continued airworthiness and efficient operation. The role also involves monitoring product performance, analysing field data and providing recommendations to reduce recurrence of in‑service issues, driving continuous improvement through CI events and supporting obsolescence management to enhance fleet supportability. Collaboration is central to success in this position. The PSE will coordinate across internal Boeing functions, including engineering, logistics, quality, supply chain and design authority and will engage with external stakeholders such as RAF operators, MROs, suppliers and regulators to deliver end‑to‑end in‑service solutions. The role requires the provision of technical advice and mentorship to customer personnel and Boeing colleagues, development and the promotion of best practices to uphold and improve Boeing engineering standards. A practical understanding of mechanical systems, electrical wiring, schematics, functional testing and control is essential, together with excellent written and verbal communication skills for clear technical engagement with diverse stakeholders. **Basic Qualifications (Required Skills/Experience):** * Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * Candidate must be eligible for SC clearance * Extensive and specialized knowledge of UK MOD / RAF aircraft maintenance processes, policies, culture, and standard practices (e.g., return to service, normal duties/responsibilities, time constraints, available resources) * Extensive, specialized knowledge of customer maintenance techniques, customer organization, maintenance policies (Topic 5), capabilities, practices, support resources, preferences, problems, and other constraints * Extensive knowledge of repair, maintenance, and retrofit processes and practices (e.g. unplanned event system, technical orders, kitting, overhaul and depot support). * Extensive, specialized knowledge of all delivered system/hardware (e.g., hydraulics, airframe, power plant, environmental control, fuel, electrical, avionic support equipment and rotor-tune techniques including HUMS as it applies to maintenance and operations. **Preferred Qualifications (Desired Skills/Experience):** * Extensive and specialized ability to analyze and interpret company products (e.g., ability to analyze and interpret all products and services with the group). * Ability to develop and influence new strategies for concurrent engineering and be able to understand system engineering management plans creation and development of System Engineering artefacts including but not limited to; System Engineering Management Plans, System Requirement Documents, Verification and Validation Requirements Matrixes, Test Evaluation and Acceptance Plans. * Knowledge and experience of MoD projects, preferably Chinook related will be a distinct advantage. * Ability to direct, communicate clearly, delegate and ensure performance of assigned responsibilities and tasks as a project team leader in support of large scale and complex projects. Identifies and resolves any issues and provides solutions and or recommendations to ensure the successful completion of the project. Understand financial performance metrics. **Conflict of Interest:** Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. **Benefits:** The Boeing benefits package goes above and beyond, focusing on your physical, emotional, financial and social well-being. Here’s a snapshot of what we offer: * Competitive salary and annual incentive plans * Continuous learning - you’ll develop the approach and skills to navigate whatever comes next * Success as defined by you - we’ll provide the tools and flexibility, so you can make a meaningful impact, your way * Inclusive culture - you’ll be embraced for who you are and empowered to use your voice to help others find theirs * Excellent Adoption and Parental leave options * 23 days plus UK public holidays and a Winter Break between Christmas and New Year * Pension Plan with up to 10% employer contribution * Company paid BUPA Medical Plan * Short Term Sickness: 100% pay for the first 26 weeks * Long Term Sickness: 66.67% of annual salary from 27th week * 6x annual salary life insurance * Learning Together Programme to support your on-going personal and career development * Access to Boeing’s Well Being Programs, tool and incentives PLEASE NOTE: The successful candidate will be expected to undergo a Security Clearance Process, which will require 5 years uninterrupted residency in the UK prior to applying. **Work Authorisation:** This requisition is for a locally hired position in the UK. Candidates must have current legal authorisation to work immediately in the United Kingdom. Boeing will not attempt to obtain Immigration and labour sponsorship for any applicants. Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll. ******Language Requirements:****** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Security Clearance:** This position requires the ability to obtain United Kingdom Security Check. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Not a Shift Worker (United Kingdom)", "summaryDescription" : "Chinook product Support Engineer Mechanical at Boeing Defence United Kingdom Limited. Skills: Chinook experience, Aircraft maintenance, In-service support, Fault diagnosis. Provide in-service engineering support. Act as primary technical interface", "postedDate" : "2026-06-10T02:13:41.085", "createdAt" : "2026-06-12T02:13:41.039", "lastUpdated" : "2026-06-14T23:25:23.401", "ingestTimestamp" : "2026-06-12T02:13:41.039", "mongoId" : "6a2abe2274d8ee00a06ecb7f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/GBR---Gosport-UK/Chinook-product-Support-Engineer-Mechanical_JR2026514079", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Aircraft maintenance procedures", "Engineering standards", "Regulatory requirements", "Mechanical system design", "Wiring diagrams", "Functional test data", "Supplier documentation", "Engineering drawings", "Change memos", "Program directives", "Maintenance data", "Repair instructions", "Service Bulletins", "Service Notes", "Structural Repair Manual", "Aircraft Maintenance Manual", "Illustrated Parts Catalogue", "Operations Manual", "Component Maintenance Manual", "Wiring Diagram Manual", "Engineering Instructions", "System problems", "Component problems", "Continued airworthiness", "Efficient operation", "In-service issues", "Obsolescence management", "System engineering management", "System requirement documents", "Verification and validation", "Test evaluation", "Acceptance plans", "Project team leadership", "Financial performance metrics", "Hydraulics", "Airframe", "Power plant", "Environmental control", "Fuel systems", "Electrical systems", "Avionic support equipment", "Rotor-tune techniques", "HUMS", "Leadership", "Mentorship", "Chinook experience", "Aircraft maintenance", "In-service support", "Fault diagnosis", "In-service engineering support", "Root-cause investigations", "Analytical investigations", "Product performance monitoring", "Field data analysis", "Fleet supportability", "Technical leadership", "Engineering judgement", "Engineering analysis", "Continuous improvement", "Technical advice", "Best practices promotion", "Project team leader", "Customer maintenance techniques", "Repair processes", "Maintenance practices", "Retrofit practices", "Unplanned event system", "Technical orders", "Kitting", "Overhaul", "Depot support", "Aircraft Document Set" ], "skillCount" : 72, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cd24774d8ee00a0a34068", "title" : "Mechanical Engineer", "company" : "HDR", "salary" : { "min" : 93000.0, "max" : 132000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-15T09:18:42.310", "fingerprint" : "3e9b6516ccc6f742244ea34d99f299545790d2e8b04305c0abe4f7d29596a067", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783798", "externalId" : "783798", "industryFunction" : { }, "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Mechanical design", "System design" ], "hardSkillsList" : [ "Plumbing system design", "Mechanical system design" ], "hardSkills" : [ { "name" : "Plumbing system design", "level" : "intermediate" }, { "name" : "Mechanical system design", "level" : "intermediate" } ], "majorSkills" : "Mechanical Engineering, Building Engineering", "majorSkillsList" : [ "Mechanical Engineering", "Building Engineering" ], "coreResponsibilities" : "Coordinate mechanical design team, Establish meetings with agencies, Participate in code compliance reviews, Coordinate workload for schedule, Conduct work sessions, Review mechanical documents, Write mechanical specifications, Edit mechanical specifications, Select mechanical equipment, Select mechanical systems, Select mechanical devices, Coordinate with affected disciplines, Assist with addenda, Assist with RFIs, Assist with CPRs, Assist with change orders, Incorporate agreed changes, Provide construction administration, Conduct QA/QC", "teamCollaboration" : "Mechanical design team; Other disciplines; Governing agencies; Project Manager", "domainKnowledge" : "Commercial buildings; Institutional buildings; Building engineering", "domainList" : [ "commercial-buildings", "institutional-buildings", "building-engineering" ], "domainSpecificKnowledge" : [ "Commercial buildings", "Institutional buildings", "Building engineering" ], "documentationSkills" : "Write specifications; Edit specifications", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Novel ideas", "qualificationsBasic" : "6 years experience", "qualificationsPreferred" : "Master's degree, Healthcare experience, Science experience, Technology experience, Civic facilities experience, Sustainable design experience, LEED experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of Mechanical Engineer, we'll count on you to: Coordinate the work of the mechanical design team through the schematic design development and contract document phase of a project Establish meetings and participate in reviews with various governing agencies for code compliance Coordinate workload to complete the document on schedule Conduct work sessions at the project site in conjunction with the Project Manager and other disciplines Review mechanical documents for areas of conflict with all disciplines Write and edit mechanical specifications, selects equipment, mechanical systems and devices Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Provide construction contract administration as needed Conduct QA/QC on the work of other Mechanical Project Engineers, Mechanical Project Coordinators or Mechanical CAD Technicians as needed Perform other duties as needed Preferred Qualifications Master's degree in Architectural Engineering with Mechanical emphasis Healthcare, Science and Technology and/or Civic facilities experience Experience and/or interest in sustainable design/LEED desired but not required A minimum of 6 years experience in mechanical and plumbing system design of commercial or institutional buildings We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position is %2493,000 - %24132,000 and depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.)", "summaryDescription" : "Mechanical Engineer at HDR. Skills: Mechanical Engineering, Building Engineering. Coordinate mechanical design team. Establish meetings with agencies", "createdAt" : "2026-06-14T03:05:26.375", "lastUpdated" : "2026-06-15T09:18:42.310", "ingestTimestamp" : "2026-06-14T03:05:26.375", "mongoId" : "6a2cd24774d8ee00a0a34068", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 93000, "salaryAnnualMax" : 132000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Plumbing system design", "Mechanical system design", "Mechanical Engineering", "Building Engineering", "Mechanical design", "System design", "Commercial buildings", "Institutional buildings", "Building engineering" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "69164d9a70f0b99d586f2d94", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-14T22:39:15.603", "fingerprint" : "33daf41278f1faf15c2a981a53e2200e70065d807a12375cdab9663154884be3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123299/apply", "externalId" : "b25bea91-9472-4b29-8358-01652ace8734", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, C++, Python, LLMs, Generative AI, AI", "professionalSkills" : [ "Data mining", "Numerical optimization", "Distributed computing", "High-performance computing" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Model optimization", "Agent optimization", "Supervised fine-tuning", "Instruction tuning", "Preference optimization", "Planning", "Tool use", "Reasoning" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Agent optimization", "level" : "intermediate" }, { "name" : "Supervised fine-tuning", "level" : "intermediate" }, { "name" : "Instruction tuning", "level" : "intermediate" }, { "name" : "Preference optimization", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Reasoning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLMs, Agentic AI, Recommendation systems", "majorSkillsList" : [ "Generative AI", "LLMs", "Agentic AI", "Recommendation systems" ], "coreResponsibilities" : "Design targeting agents, Build targeting agents, Design recommendation agents, Build recommendation agents, Implement model optimization techniques, Implement agent optimization techniques, Collaborate with peers, Bring scientific innovations into production, Stay current with latest research, Translate findings into practical applications, Develop agentic architectures", "teamCollaboration" : "Across engineering and product; With expert applied scientists; With software engineers; With product managers", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; E-commerce advertising; Large Language Models; Agent architectures; Reasoning frameworks; Model customization", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "e-commerce-advertising", "large-language-models", "agent-architectures", "reasoning-frameworks", "model-customization" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising landscape", "E-commerce advertising", "Large Language Models", "Agent architectures", "Reasoning frameworks", "Model customization" ], "innovationCreativity" : "Re-imagining advertising landscape; Re-inventing advertising experiences; Bridging human creativity with AI; Shaping the future of advertising; Breakthrough innovations", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Enhance targeting precision; Enhance one-click campaign optimization", "qualificationsBasic" : "Master's degree and 4+ years experience, 3+ years building models, Experience programming Java, C++, Python, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing", "qualificationsPreferred" : "PhD preferred, Technical fluency Generative AI, Deep understanding LLMs, Experience model fine tuning, Experience prompt engineering, Experience RLHF, Experience RAG, Experience AI model trade-offs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Targeting and Recommendations team within Sponsored Products and Brands empowers advertisers with intelligent targeting controls and one-click campaign recommendations that automatically populate optimal settings based on ASIN data. This comprehensive suite provides advanced targeting capabilities through AI-generated keyword and ASIN suggestions, sophisticated targeting controls including Negative Targeting, Manual Targeting with Product Attribute Targeting (PAT) and Keyword Targeting (KWT), and Automated Targeting (ATv2). Our vision is to build a revolutionary, highly personalized and context-aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across both conversational and traditional ad console experiences while scaling from natural language queries to proactive, intelligent guidance delivery based on deep advertiser understanding, ultimately enhancing both targeting precision and one-click campaign optimization. Through strategic partnerships across Ad Console, Sales, and Marketing teams, we identify high-impact opportunities spanning from strategic product guidance to granular keyword optimization and deliver them through personalized, scalable experiences grounded in state-of-the-art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including tuning, MCP, and preference optimization. This presents an exceptional opportunity to shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers. Key job responsibilities * Design and build targeting and 1 click recommendation agents to guide advertisers in conversational and non-conversational experience. * Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO). * Collaborate with peers across engineering and product to bring scientific innovations into production. * Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. * Develop agentic architectures that integrate planning, tool use, and long-horizon reasoning. A day in the life As an Applied Scientist on our team, your days will be immersed in collaborative problem-solving and strategic innovation. You'll partner closely with expert applied scientists, software engineers, and product managers to tackle complex advertising challenges through creative, data-driven solutions. Your work will center on developing sophisticated machine learning and AI models, leveraging state-of-the-art techniques in natural language processing, recommendation systems, and agentic AI frameworks. From designing novel targeting algorithms to building personalized guidance systems, you'll contribute to breakthrough innovations Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in professional software development - Strong technical fluency in Generative AI - Deep understanding of large language models (LLMs), model fine tuning and prompt engineering - Experience in Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG) and AI model trade-offs (e.g., model size, latency, cost, and output 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, LLMs, Agentic AI, Recommendation systems. Design targeting agents. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T05:10:53.584", "fingerprint" : "273ee1db2dd4f2215458d573cc0d7d6d1787902d2d3ce8f819f76201f7cac54f", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57750", "externalId" : "57750", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Mechanical Maintenance Leadership" ], "hardSkillsList" : [ "Millwright", "Machinist", "Welder", "Pipefitter", "Mechanical Engineer" ], "hardSkills" : [ { "name" : "Millwright", "level" : "intermediate" }, { "name" : "Machinist", "level" : "intermediate" }, { "name" : "Welder", "level" : "intermediate" }, { "name" : "Pipefitter", "level" : "intermediate" }, { "name" : "Mechanical Engineer", "level" : "intermediate" } ], "majorSkills" : "Mechanical Maintenance, Safety Leadership, People Development, Problem Solving", "majorSkillsList" : [ "Mechanical Maintenance", "Safety Leadership", "People Development", "Problem Solving" ], "coreResponsibilities" : "Lead and coordinate mechanical maintenance, Act as safety leader, Ensure compliance with requirements, Supervise, mentor, and develop personnel, Plan, coordinate, and execute maintenance, Interpret drawings and schematics, Promote operational excellence, Identify inefficiencies, Manage risk, Drive continuous improvement, Ensure appropriate staffing, Collaborate with operations, Troubleshoot issues, Deliver shift objectives, Maintain accurate logs, Lead investigations, Lead corrective actions", "teamCollaboration" : "Cross-functional teams; Operations; Engineering; Reliability teams", "domainKnowledge" : "Mill processing equipment; Mining operations", "domainList" : [ "mill-processing-equipment", "mining-operations" ], "domainSpecificKnowledge" : [ "Mill processing equipment", "Mining operations" ], "documentationSkills" : "Shift logs; Equipment records; Inspections", "problemSolvingSkills" : "Troubleshooting equipment issues", "specialRequirements" : "Rotational schedule", "outcomesObjectives" : "Maximize equipment availability; Promote safety culture; Develop workforce skills; Meet maintenance targets", "qualificationsBasic" : "Completed apprenticeship required, 7 or more years experience, 1 or more years leadership experience", "qualificationsPreferred" : "Certificate of Qualification in Ontario preferred, Lean and multi-disciplinary team leadership desirable", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations like the Côté Gold Mine in Ontario, one of Canada’s largest and most technologically advanced gold mines, we’re not just mining gold; we’re redefining what mining means for the future. At IAMGOLD, we believe that when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. Recognized as one of the 2025 GTA Top Employers, we offer an environment designed for growth, world-class rewards, cutting-edge development programs, and a culture that values fresh ideas and collaboration. Our results speak for themselves: ranked 13th on the 2025 TSX30, we’ve proven that performance and purpose go hand in hand. Here, you’ll work on projects that matter, leveraging technology, sustainability, and creativity to deliver impact for our teams, communities, and the planet. Innovation drives us. Sustainability anchors us. Accountability shapes us. Check out the IAMGOLD Blog Read about our Côté Gold About the role: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } We are actively seeking a Mechanical Supervisor. This role is responsible for leading and coordinating mechanical maintenance activities to ensure the safe, reliable, and efficient operation of mill processing equipment. The Supervisor provides day-to-day oversight of trades personnel, manages both planned and unplanned maintenance, and ensures all work is completed in compliance with safety standards, maintenance strategies, and production priorities. By working closely with operations, engineering, and reliability teams, the Mechanical Supervisor plays a key role in maximizing equipment availability, promoting a strong safety culture, and developing the skills and performance of the workforce. This position is based at our Côté Gold Mine Site and operates on a rotational schedule. Responsibilities: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Lead and coordinate mechanical maintenance resources to support safe, reliable, and efficient mill operations. Act as a visible and courageous safety leader, ensuring compliance with all safety, environmental, and regulatory requirements. Supervise, mentor, and develop mechanical trades personnel through clear expectations, coaching, and performance feedback. Plan, coordinate, and execute planned and unplanned maintenance by interpreting drawings, schematics, and maintenance plans in alignment with production priorities. Promote operational excellence by identifying inefficiencies, managing risk, and driving continuous improvement in maintenance practices. Ensure appropriate staffing, tools, equipment, and training are in place to meet maintenance targets and future site needs. Collaborate closely with operations, engineering, and other supervisors to troubleshoot issues and deliver shift and business objectives. Maintain accurate shift logs, equipment records, and inspections, and lead investigations and corrective actions as required. Key Skills & Knowledge: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } College diploma in industrial mechanic (millwright) or another related field. Certificate of Qualification in Ontario is preferred. Completed apprenticeship is required. Relevant Experience: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } 7 or more years of experience as a Millwright, Machinist, Welder, Pipefitter or Mechanical Engineer. 1 or more years of leadership experience. Previous exposure to lean and multi-disciplinary team leadership is desirable, but not essential. Skills & Strengths, We Value: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Mechanical Maintenance Leadership – Strong ability to lead and coordinate mechanical maintenance activities, ensuring safe, reliable, and efficient operation of mill equipment. Safety & Risk Management – Demonstrated commitment to courageous safety leadership, hazard identification, safe work practices, and regulatory compliance. People Leadership & Development – Proven experience supervising, mentoring, and developing trades personnel through clear expectations, coaching, and performance feedback. Problem Solving & Continuous Improvement – Proactive, solution driven approach to troubleshooting equipment issues, identifying inefficiencies, and driving continuous improvement in maintenance practices. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. Here’s what sets you up for success: • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $112,300 - $168,400 + Bonus The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Mechanical Supervisor at IAMGOLD. Skills: Mechanical Maintenance, Safety Leadership, People Development, Problem Solving. Lead and coordinate mechanical maintenance. Act as safety leader", "createdAt" : "2026-06-14T08:36:37.215", "lastUpdated" : "2026-06-15T05:10:53.584", "ingestTimestamp" : "2026-06-14T08:36:37.215", "mongoId" : "69def2702beec4dd3db8557f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Millwright", "Machinist", "Welder", "Pipefitter", "Mechanical Engineer", "Mechanical Maintenance", "Safety Leadership", "People Development", "Problem Solving", "Mechanical Maintenance Leadership", "Mill processing equipment", "Mining operations" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b9c74d8ee00a0913840", "title" : "Mechanical Engineer", "company" : "SQUAD", "industry" : "Manufacturing", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Mechanical Engineer in the Technology industry in Ukraine, adjusted for remote work." }, "location" : "Kyiv", "locations" : [ "Kyiv", "Lviv", "Remote" ], "timestamp" : "2026-06-15T09:50:41.467", "fingerprint" : "179da14849c7612e792186c5af0886c36bf3ed2c9026f11461b869fd07cee51c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://squad.tech/careers/?gh_jid=771071", "externalId" : "771071", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Ukraine", "technicalSkills" : "CAD, CAE, SolidWorks, PTC Creo, GD&T", "professionalSkills" : [ "Design verification", "Supplier coordination", "Risk assessment", "FMEAs", "Tolerance stack-up analysis" ], "hardSkillsList" : [ "CAD modeling", "BOM creation", "Mechanical validation", "DFM/DFA optimization", "Material selection", "Supplier coordination", "Field support" ], "softSkillsList" : [ "Ownership mindset" ], "hardSkills" : [ { "name" : "CAD modeling", "level" : "intermediate" }, { "name" : "BOM creation", "level" : "intermediate" }, { "name" : "Mechanical validation", "level" : "intermediate" }, { "name" : "DFM/DFA optimization", "level" : "intermediate" }, { "name" : "Material selection", "level" : "intermediate" }, { "name" : "Supplier coordination", "level" : "intermediate" }, { "name" : "Field support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" } ], "majorSkills" : "Mechanical design, Product development, CAD modeling, Design verification", "majorSkillsList" : [ "Mechanical design", "Product development", "CAD modeling", "Design verification" ], "coreResponsibilities" : "Drive mechanical component development, Build high-fidelity CAD models, Create detailed drawings, Create comprehensive BOMs, Collaborate with engineers, Ensure cross-functional integration, Lead mechanical validation tests, Support design verification, Optimize designs for performance, Optimize designs for cost, Optimize designs for manufacturability, Lead rigorous design reviews, Lead risk assessments, Lead FMEAs, Manage engineering documentation, Manage tolerance stack-up analysis, Coordinate with suppliers, Coordinate with internal teams, Provide field support, Lead iterative design improvements", "teamCollaboration" : "Cross-functional hardware integration; Electrical engineers; Firmware engineers; Optical engineers; Internal teams", "projectManagementSkills" : [ "Schedule milestones" ], "domainKnowledge" : "Consumer electronics; IoT devices; IP ratings; Plastic injection molding; Mechanical design principles; GD&T; ISO standards; ASME standards", "domainList" : [ "consumer-electronics", "iot-devices", "ip-ratings", "plastic-injection-molding", "mechanical-design-principles", "gd-t", "iso-standards", "asme-standards" ], "domainSpecificKnowledge" : [ "Consumer electronics", "IoT devices", "IP ratings", "Plastic injection molding", "Mechanical design principles", "GD&T", "ISO standards", "ASME standards" ], "toolProficiency" : [ "SolidWorks", "PTC Creo" ], "communicationSkills" : "Communicate technical risks", "documentationSkills" : "Engineering documentation", "continuousLearning" : "Corporate courses; Knowledge hubs; English classes; Educational leaves", "innovationCreativity" : "Driving innovation; Mechanical innovation", "problemSolvingSkills" : "Iterative design cycles", "outcomesObjectives" : "Deliver on quality; Deliver on cost; Deliver on schedule; Maintain product excellence", "qualificationsBasic" : "Mechanical design experience, Consumer electronics experience, IoT devices experience, Products with IP ratings, CAD and CAE tools proficiency, SolidWorks or PTC Creo proficiency, Plastic parts design, Material selection, Mechanical design principles, GD&T knowledge, Tolerance stack-up analysis, Lab tools for validation, Intermediate English level", "qualificationsPreferred" : "Injection molding design experience, ISO or ASME standards knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Team Summary Our Mechanical Engineering team is responsible for driving innovation from the initial concept through to high-volume production for our key stakeholders' products. We serve as the vital integration hub, bridging the gap between various hardware disciplines, including Radio Frequency, Electrical Engineering, and Optics. Our lab is fully equipped with state-of-the-art tools for rapid prototyping, comprehensive testing, and advanced hardware development, offering a dynamic environment for hands-on engineering. Job Summary This role is designed for a self-guided Mechanical Engineer who enjoys driving mechanical innovation from the ground up. You will be responsible for navigating the most challenging aspects of the product development, from initial CAD modeling to design verification and field support. With an ownership mindset, you will guide mechanical components through iterative design cycles, managing everything from material selection to supplier coordination to ensure we deliver on quality, cost, and schedule. Responsibilities and Duties Drive mechanical component development from initial concept to mass production, building high-fidelity CAD models, detailed drawings, and comprehensive BOMs Collaborate closely with Electrical, Firmware, and Optical engineers to ensure seamless cross-functional hardware integration and design performance Lead mechanical validation tests, such as fit, stress, and thermal analysis, and support design verification through iterative prototyping and lab testing Apply expert knowledge of DFM/DFA to optimize designs for performance, cost, and manufacturability Lead rigorous design reviews, risk assessments, and FMEAs while managing all engineering documentation and tolerance stack-up analysis Coordinate directly with suppliers and internal teams to ensure quality, cost, and schedule milestones are met Provide essential field support and lead iterative design improvements to maintain product excellence throughout its lifecycle. Qualifications and Skills Proven experience in mechanical design, specifically within consumer electronics, IoT devices, or products with varying IP ratings Proficiency in CAD and CAE tools, specifically SolidWorks or PTC Creo Demonstrated track record of designing plastic parts for injection molding and selecting materials based on complex design requirements Deep technical understanding of mechanical design principles and GD&T based on ISO or ASME standards Skilled in performing rigorous tolerance stack-up analysis and using lab tools for hardware validation Strong work ethic and an ownership mindset, with the ability to communicate technical risks effectively to stakeholders At least an Intermediate level in both written and spoken English (B1). We offer multiple benefits, that include The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member Competitive compensation and perks. Annual performance review Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company Gig-contract 21 paid vacation days per year, paid public holidays according to Ukrainian legislation Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves Medical insurance is provided from day one. Sick leaves and medical leaves are available Remote working mode is available within Ukraine only Free meals, fruits, and snacks when working in the office.", "summaryDescription" : "Mechanical Engineer at SQUAD. Skills: Mechanical design, Product development, CAD modeling, Design verification. Drive mechanical component development. 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Experience in commercial or institutional facilities Computer experience using MS Office, Trane TRACE or similar software, manufacturer selection software Previous experience with an architectural/engineering or engineering consulting firm An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Indiana-Indianapolis", "summaryDescription" : "Mechanical Engineer at HDR. Skills: Mechanical system design. Design mechanical systems", "createdAt" : "2026-06-14T06:20:05.287", "lastUpdated" : "2026-06-15T13:23:55.905", "ingestTimestamp" : "2026-06-14T06:20:05.287", "mongoId" : "6a16291d58b93c861e95a437", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical system design", "Commercial buildings", "Institutional buildings", "Professional Engineer (PE or P. 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While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists. That's why we believe diversity is our greatest strength. HDR is proud to be an equal opportunity workplace and an affirmative action employer. Watch Our Story: ' https://www.hdrinc.com/our-story' We believe that the way we work can add meaning and value to the world. That ideas inspire positive change. That coloring outside the lines can illuminate fresh perspectives. And that small details yield important realizations. Above all, we believe that collaboration is the best way forward. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. HDR is looking for a Mechanical Engineer to join our Building Engineering Services team in either Charlotte or Raleigh. In the role of Mechanical Engineer, we'll count on you to: Coordinate the work of the mechanical design team through the schematic design development and contract document phase of a project Establish meetings and participate in reviews with various governing agencies for code compliance Coordinate workload to complete the document on schedule Conduct work sessions at the project site in conjunction with the Project Manager and other disciplines Review mechanical documents for areas of conflict with all disciplines Write and edit mechanical specifications, selects equipment, mechanical systems and devices Coordinate with and assist affected disciplines with addenda, RFIs, CPRs and change orders, and take responsibility to incorporate agreed-upon changes into the project documents Provide construction contract administration as needed Conduct QA/QC on the work of other Mechanical Project Engineers, Mechanical Project Coordinators or Mechanical CAD Technicians as needed Perform other duties as needed Local candidates are preferred *LI-SM1", "summaryDescription" : "Mechanical Engineer at HDR. 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Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Colorado-Denver", "summaryDescription" : "Mechanical Engineer at HDR", "createdAt" : "2026-06-14T01:50:38.976", "lastUpdated" : "2026-06-15T09:11:03.659", "ingestTimestamp" : "2026-06-14T01:50:38.976", "mongoId" : "6a16291c58b93c861e95a113", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical system design", "Commercial buildings", "Institutional buildings", "Professional Engineer (PE or P. 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ESSENTIAL DUTIES/RESPONSIBILITIES Review customer statement of work (SOW) documents, specifications", "summaryDescription" : "Mechanical Engineer at Atec, Inc.. Skills: Mechanical Engineering, Product Design. Perform design activities. Direct design activities", "createdAt" : "2026-06-14T00:09:41.615", "lastUpdated" : "2026-06-15T08:01:49.788", "ingestTimestamp" : "2026-06-14T00:09:41.615", "mongoId" : "69ce9aaa2beec4dd3d78f41e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical design", "Analysis", "Fabrication", "Operation", "Application", "Installation", "Repair", "Mechanical Engineering", "Product Design", "System design", "Product development", "Mechanical systems", "Electromechanical systems" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "applying product on infested areas using mechanical or electric sprayer jobs", "metadata" : { "title" : "applying product on infested areas using mechanical or electric sprayer" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 35929, "totalPages" : 719, "hasNext" : true, "hasPrevious" : false } }

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