{ "count" : 70351, "data" : [ { "id" : "6a210e2a74d8ee00a0af6029", "title" : "Product Quality Engineer, Hardware Quality and Reliability", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Quality Engineer in Sunnyvale, United States, adjusted for the technology industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T12:44:37.141", "fingerprint" : "747bf93ba7c4b81d0b04e9ceab13bfd9c185e10b06a682aba367f097f913c339", "source" : "google", "language" : "en", "externalId" : "82340158015185606", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "coreResponsibilities" : "Ensure product quality, Support hardware reliability", "domainKnowledge" : "Hardware quality; Hardware reliability", "domainList" : [ "hardware-quality", "hardware-reliability" ], "domainSpecificKnowledge" : [ "Hardware quality", "Hardware reliability" ], "qualificationsBasic" : "5+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Quality Engineer, Hardware Quality and Reliability. 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Support hardware reliability", "postedDate" : "2026-06-16T01:48:00.543", "createdAt" : "2026-06-16T01:48:00.543", "lastUpdated" : "2026-06-16T12:44:37.141", "ingestTimestamp" : "2026-06-16T01:48:00.543", "mongoId" : "6a210e2a74d8ee00a0af6029", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hardware quality", "Hardware reliability" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 615.363, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2ca05574d8ee00a09a1e82", "title" : "Quality Engineer – Accuracy Control", "company" : "Saronic Technologies", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Engineer in manufacturing in Franklin, United States, adjusted for industry and company size." }, "location" : "Franklin, LA", "locations" : [ "Franklin, LA" ], "certifications" : [ "Advanced certifications in metrology", "Advanced certifications in dimensional inspection", "Advanced certifications in quality systems" ], "timestamp" : "2026-06-15T05:42:14.768", "fingerprint" : "cf247da21ebd949fc8d2e2f65602566fbfe74be751e6a4eb47999b9e6f904ae6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/saronic/d2330bfb-ea14-4095-b1a5-af751bc95315/application", "externalId" : "d2330bfb-ea14-4095-b1a5-af751bc95315", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Franklin", "state" : "Louisiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.1254252,-91.6778053" } ], "locationText" : "Franklin, Louisiana, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Metrology, 3D Metrology Software, AutoCAD", "professionalSkills" : [ "Dimensional control", "Precision measurement", "Alignment verification", "Process improvement", "Quality performance", "Deviation analysis", "Corrective actions", "Technical support" ], "hardSkillsList" : [ "GD&T", "Shipbuilding tolerances", "Alignment requirements" ], "hardSkills" : [ { "name" : "GD&T", "level" : "intermediate" }, { "name" : "Shipbuilding tolerances", "level" : "intermediate" }, { "name" : "Alignment requirements", "level" : "intermediate" } ], "majorSkills" : "Accuracy Control, Dimensional Verification, Precision Measurement, Alignment Verification", "majorSkillsList" : [ "Accuracy Control", "Dimensional Verification", "Precision Measurement", "Alignment Verification" ], "coreResponsibilities" : "Develop dimensional control procedures, Implement dimensional control procedures, Maintain dimensional control procedures, Perform high-accuracy inspections, Perform alignment verification, Utilize laser trackers, Utilize total stations, Utilize digital levels, Establish vessel coordinate systems, Establish reference datums, Establish control networks, Conduct dimensional inspections, Conduct alignment verification, Identify opportunities to improve workflows, Identify opportunities to improve fabrication accuracy, Identify opportunities to improve shipyard quality processes, Reduce rework, Improve fit-up efficiency, Implement best practices for vessel construction, Implement best practices for vessel integration, Provide oversight of critical assembly, Provide oversight of critical integration, Support harbor acceptance testing, Support sea trial activities, Verify structural alignment, Verify system alignment, Verify dimensional compliance, Verify overall vessel readiness, Maintain records of inspection data, Maintain measurement reports, Maintain alignment results, Maintain dimensional nonconformances, Prepare reports related to quality performance, Prepare reports related to deviation analysis, Prepare reports related to corrective actions, Prepare reports related to process improvements, Present reports related to quality performance, Present reports related to deviation analysis, Present reports related to corrective actions, Present reports related to process improvements, Ensure compliance with customer specifications, Ensure compliance with naval standards, Ensure compliance with maritime standards, Ensure compliance with ISO 9001, Ensure compliance with internal quality procedures, Maintain calibration records, Ensure proper operation of measurement equipment, Ensure certification of measurement equipment, Partner with engineering teams, Partner with production teams, Partner with welding teams, Partner with outfitting teams, Partner with program teams, Resolve dimensional discrepancies, Resolve fit-up issues, Resolve alignment concerns, Provide technical support during vessel 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Engineering, Bachelor's degree in Surveying, Bachelor's degree in Geomatics, Bachelor's degree in Quality Engineering, 3–5 years of experience in quality engineering, 3–5 years of experience in dimensional control, 3–5 years of experience in metrology, 3–5 years of experience in shipbuilding, 3–5 years of experience in defense, 3–5 years of experience in offshore fabrication, 3–5 years of experience in complex manufacturing, Experience supporting vessel construction, Experience supporting module integration, Experience supporting marine structural alignment", "qualificationsPreferred" : "Advanced certifications in metrology, Advanced certifications in dimensional inspection, Advanced certifications in quality systems, Experience supporting vessel construction, Experience supporting module integration, Experience supporting marine structural alignment, Proficiency interpreting GD&T, Proficiency interpreting shipbuilding tolerances, Proficiency interpreting alignment requirements, Familiarity with PolyWorks, Familiarity with SpatialAnalyzer, Familiarity with Leica Cyclone, Familiarity with AutoCAD", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. JOB OVERVIEW We are seeking a detail-oriented and experienced Quality Engineer – Accuracy Control to join our team in support of the building, integration, and testing of autonomous surface vessels. In this role, you will be primarily responsible for ensuring dimensional accuracy, alignment compliance, and precision measurement quality across shipyard operations—including hull fabrication, structural integration, outfitting, machinery alignment, and vessel assembly. You will work closely with engineering, production, and quality teams to monitor, evaluate, and improve dimensional control processes using advanced metrology equipment such as laser trackers and total stations, ensuring vessels meet all customer, naval, and industry requirements. RESPONSIBILITIES Accuracy Control & Dimensional Verification: Develop, implement, and maintain dimensional control and precision measurement procedures for shipyard fabrication, assembly, integration, and testing activities. Perform high-accuracy inspections and alignment verification to ensure compliance with engineering drawings, GD&T requirements, regulatory/military standards, and customer specifications. Precision Measurement & Alignment: Utilize laser trackers, total stations, digital levels, and other metrology equipment to establish and maintain vessel coordinate systems, reference datums, and control networks. Conduct dimensional inspections and alignment verification for hull structures, foundations, machinery, propulsion systems, piping, and integrated vessel systems. Process Improvement: Identify opportunities to improve dimensional control workflows, fabrication accuracy, and shipyard quality processes. Partner with engineering and production teams to reduce rework, improve fit-up efficiency, and implement best practices for vessel construction and integration activities. Inspection and Testing: Conduct dimensional inspections and provide oversight of critical assembly and integration processes. Support harbor acceptance testing and sea trial activities by verifying structural and system alignment, dimensional compliance, and overall vessel readiness prior to delivery. Documentation and Reporting: Maintain accurate records of inspection data, measurement reports, alignment results, and dimensional nonconformances. Prepare and present reports related to quality performance, deviation analysis, corrective actions, and process improvements. Compliance and Standards: Ensure compliance with customer specifications, naval and maritime standards, ISO 9001 requirements, and internal quality procedures. Maintain calibration records and ensure proper operation and certification of precision measurement equipment. Cross-Functional Collaboration: Partner with engineering, production, welding, outfitting, and program teams to resolve dimensional discrepancies, fit-up issues, and alignment concerns. Provide technical support during vessel construction and integration activities to ensure quality and schedule objectives are achieved. Training and Mentorship: Support training of shipyard personnel, inspectors, and technicians on dimensional control processes, metrology equipment, accuracy control procedures, and inspection best practices. QUALIFICATIONS Education: Bachelor’s degree in Mechanical Engineering, Naval Architecture, Marine Engineering, Surveying, Geomatics, Quality Engineering, or a related technical field. Advanced certifications in metrology, dimensional inspection, or quality systems are a plus. Experience: 3–5 years of experience in quality engineering, dimensional control, metrology, or related roles within shipbuilding, defense, offshore fabrication, or complex manufacturing environments. Experience supporting vessel construction, module integration, and marine structural alignment activities is highly desirable. Technical Skills: Strong understanding of shipyard fabrication and vessel construction processes including hull fabrication, welding, outfitting, structural fit-up, and mechanical integration. Hands-on experience with precision measurement systems including: - Laser Trackers (Leica, FARO, API, or similar) - Total Stations - Digital Levels - 3D Metrology Software Proficiency interpreting engineering drawings, GD&T, shipbuilding tolerances, and alignment requirements. Familiarity with software such as PolyWorks, SpatialAnalyzer, Leica Cyclone, AutoCAD, or similar metrology and reporting platforms is preferred. Problem-Solving: Strong analytical and troubleshooting skills with the ability to identify root causes of dimensional discrepancies, fit-up issues, distortion, and alignment problems in a fast-paced shipyard production environment. Communication: Excellent written and verbal communication skills with the ability to interact effectively with shipyard personnel, engineering teams, production leadership, and external regulatory representatives. Attention to Detail: High attention to detail with commitment to delivering vessels and systems that meet strict naval, customer, and regulatory dimensional accuracy requirements PHYSICAL DEMANDS: - Prolonged periods of sitting at a desk and working on a computer - Occasional standing and walking within the office - Manual dexterity to operate a computer keyboard, mouse, and other office equipment - Visual acuity to read screens, documents, and reports - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) BENEFITS: Medical Insurance: Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan with company match Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office Saronic CCPA Notice for Candidates and California Employees https://saronic-assets-public.s3.us-east-2.amazonaws.com/Saronic%20CCPA%20Notice%20for%20Candidates%20and%20California%20Employees.pdf If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Quality Engineer – Accuracy Control at Saronic Technologies. Skills: Accuracy Control, Dimensional Verification, Precision Measurement, Alignment Verification. Develop dimensional control procedures. 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You will support our pharmacy operation at the Winnersh site. You are responsible for making sure every medicine that leaves our pharmacy is right. That means accuracy checking dispensed medicines, keeping standards high, and actively contributing to a culture where getting it right the first time is non-negotiable. You will not be managed through every task. You will be trusted to lead, to spot problems before they become incidents, and to raise the bar for everyone around you. What will you be doing? - Carrying out accuracy checks on dispensed medicines, ensuring full compliance with legal, operational and safety standards - Taking ownership of the end-to-end dispensing process — not just your part of it - Maintaining clear, accurate prescription records and escalating discrepancies without hesitation - Actively mentoring junior colleagues and helping to build a team culture rooted in accountability, safety and quality - Staying sharp on professional development, best practice and regulatory changes — because you want to, not because you have to - Working with pace and purpose alongside the wider pharmacy team to ensure every patient gets exactly what they need, when they need it What do you need? - Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification - Current registration as a Pharmacy Technician with the GPhC — no exceptions - Solid, proven experience in a pharmacy setting with a strong track record in accuracy checking - Deep working knowledge of pharmacy regulations, policies and SOPs - The kind of attention to detail that you simply cannot switch off What do you get? - Hourly rate of £16 to £18 - Shifts are 8 hours per day with a 30 minute unpaid break - Shifts start times from 8am to 10am - Monday to Friday About Us Montu UK is a leading digital health company specialising in cannabis-based medicines (CBPM), dedicated to improving patient access to safe and effective treatments. Our mission is to transform lives by combining innovative technology with high-quality clinical care, ensuring patients receive the support they need at every step of their journey. As a fast-growing organisation, we offer a collaborative and supportive environment where talented people can develop their careers while contributing to meaningful change in healthcare. At Montu UK, your work has a direct impact on improving patients’ lives and expanding access to modern medical treatments.", "summaryDescription" : "Locum Accuracy Checking Technician at Montu UK. Skills: Accuracy checking, Pharmacy regulations. Carry out accuracy checks on dispensed medicines. Ensure compliance with legal standards", "createdAt" : "2026-06-16T00:24:24.129", "lastUpdated" : "2026-06-16T12:20:56.014", "ingestTimestamp" : "2026-06-16T00:24:24.129", "mongoId" : "6a3055b0f292fd229cf20a3b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Safety", "Quality", "Accuracy checking", "Pharmacy regulations", "Dispensing process", "Pharmacy policies", "Pharmacy SOPs", "Level 3 NVQ in Pharmacy Services (ACT)", "Pharmacy Technician with the GPhC" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 562.6358, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055b0f292fd229cf20a3a", "title" : "Accuracy Checking Pharmacy Technician", "company" : "Montu UK", "industry" : "Montu", "salary" : { "min" : 40000.0, "max" : 42000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "Winnersh", "locations" : [ "Winnersh" ], "certifications" : [ "Pharmacy Technician registration with the GPhC" ], "timestamp" : "2026-06-16T13:58:11.430", "fingerprint" : "f3319277fb14d16379791c537f2d2b4e18e3b48464fc7af8df989ea17f8ccfd5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/montu-uk/983ee22f-31d6-4681-99df-edb2bfa42d68/application", "externalId" : "983ee22f-31d6-4681-99df-edb2bfa42d68", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Winnersh", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4308820,-0.8778641" } ], "locationText" : "Winnersh, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification", "professionalSkills" : [ "Accuracy checking", "Dispensing process", "Professional development", "Regulatory changes" ], "hardSkillsList" : [ "Accuracy checking medicines" ], "hardSkills" : [ { "name" : "Accuracy checking medicines", "level" : "intermediate" } ], "majorSkills" : "Accuracy checking, Pharmacy regulations, Patient outcomes", "majorSkillsList" : [ "Accuracy checking", "Pharmacy regulations", "Patient outcomes" ], "coreResponsibilities" : "Carry out accuracy checks on dispensed medicines, Ensure compliance with legal, operational and safety standards, Take ownership of the end-to-end dispensing process, Maintain clear, accurate prescription records, Escalate discrepancies without hesitation, Mentor junior colleagues, Help build a team culture rooted in accountability,, Stay sharp on professional development, Work with pace and purpose, the wider pharmacy team", "teamCollaboration" : "Wider pharmacy team", "domainKnowledge" : "Pharmacy regulations; Pharmacy policies; Pharmacy SOPs; Cannabis-based medicines", "domainList" : [ "pharmacy-regulations", "pharmacy-policies", "pharmacy-sops", "cannabis-based-medicines" ], "domainSpecificKnowledge" : [ "Pharmacy regulations", "Pharmacy policies", "Pharmacy SOPs", "Cannabis-based medicines" ], "communicationSkills" : "Communicates directly", "documentationSkills" : "Maintain prescription records", "continuousLearning" : "Professional development; Best practice; Regulatory changes", "problemSolvingSkills" : "Spot problems before they become incidents", "outcomesObjectives" : "Ensure every medicine that leaves our pharmacy is right; Getting it right the first time is non-negotiable; Raise the bar for everyone around you; Ensure every patient gets exactly what they need, when they need it", "qualificationsBasic" : "Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification, Current registration as a Pharmacy Technician with the GPhC, Solid, proven experience in a pharmacy setting, Track record in accuracy checking, Deep working knowledge of pharmacy regulations, policies and SOPs, Attention to detail, Communicates directly, Takes accountability for their actions, Does not wait to be told what to do, Proven commitment to patient outcomes", "qualificationsPreferred" : "Option of over time on Saturdays", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Accuracy Checking Pharmacy Technician (Full-time) We are not looking for someone who clocks in, does the minimum, and clocks out. We are looking for a pharmacy technician who is genuinely driven, someone who takes ownership, holds themselves to a high standard, and cares deeply about what happens to patients at the end of that prescription. If that sounds like you, read on. What is the job? You will be a central, trusted part of our pharmacy operation at our Winnersh site — the person the team relies on to make sure every medicine that leaves our pharmacy is right. That means accuracy checking dispensed medicines, keeping standards high, and actively contributing to a culture where getting it right the first time is non-negotiable. You will not be managed through every task. You will be trusted to lead, to spot problems before they become incidents, and to raise the bar for everyone around you. What will you be doing? - Carrying out accuracy checks on dispensed medicines, ensuring full compliance with legal, operational and safety standards - Taking ownership of the end-to-end dispensing process — not just your part of it - Maintaining clear, accurate prescription records and escalating discrepancies without hesitation - Actively mentoring junior colleagues and helping to build a team culture rooted in accountability, safety and quality - Staying sharp on professional development, best practice and regulatory changes — because you want to, not because you have to - Working with pace and purpose alongside the wider pharmacy team to ensure every patient gets exactly what they need, when they need it What do you need? - Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification - Current registration as a Pharmacy Technician with the GPhC — no exceptions - Solid, proven experience in a pharmacy setting with a strong track record in accuracy checking - Deep working knowledge of pharmacy regulations, policies and SOPs - The kind of attention to detail that you simply cannot switch off - Someone who communicates directly, takes accountability for their actions, and does not wait to be told what to do - A genuine, proven commitment to patient outcomes — not just patient care on paper, but real passion for what happens to the person at the end of the process What we offer: - Full-time contract: 40-hours per week, Monday to Friday with the option of over time on Saturdays - Generous Leave: 25 days holiday (rising to 27 after year one and 30 after year two) + 8 bank holidays - Pension Matching: Up to 5% employer matching contributions - Private Healthcare - Flexibility and Wellness: Work-from-home options, cycle-to-work scheme, and more - Growth Opportunities: Collaborate across teams and represent Montu at events, with support to grow your skills and impact - Enhanced Maternity & Paternity Leave About Us Montu UK is a leading digital health company specialising in cannabis-based medicines (CBPM), dedicated to improving patient access to safe and effective treatments. Our mission is to transform lives by combining innovative technology with high-quality clinical care, ensuring patients receive the support they need at every step of their journey. As a fast-growing organisation, we offer a collaborative and supportive environment where talented people can develop their careers while contributing to meaningful change in healthcare. At Montu UK, your work has a direct impact on improving patients’ lives and expanding access to modern medical treatments.", "summaryDescription" : "Accuracy Checking Pharmacy Technician at Montu UK. Skills: Accuracy checking, Pharmacy regulations, Patient outcomes. Carry out accuracy checks on dispensed medicines. Ensure compliance with legal, operational and safety standards", "createdAt" : "2026-06-16T00:26:29.507", "lastUpdated" : "2026-06-16T13:58:11.430", "ingestTimestamp" : "2026-06-16T00:26:29.507", "mongoId" : "6a3055b0f292fd229cf20a3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Accuracy checking medicines", "Accuracy checking", "Pharmacy regulations", "Patient outcomes", "Dispensing process", "Professional development", "Regulatory changes", "Pharmacy policies", "Pharmacy SOPs", "Cannabis-based medicines", "Pharmacy Technician registration with the GPhC" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 561.3768, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3050c1f292fd229cef4e05", "title" : "Product Quality Lead", "company" : "Ataccama", "industry" : "Data Quality", "salary" : { "min" : 1300000.0, "max" : 1950000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Product Quality Lead in Prague, Czech Republic, adjusted for the technology industry and company size." }, "location" : "Prague, Czechia", "locations" : [ "Prague, Czechia" ], "timestamp" : "2026-06-16T15:37:44.357", "fingerprint" : "0cfca4b78c6814beed6169c993780a1dea8b691f62615235ccc51d0778cb3ebf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ataccama/3dc9b932-42e0-4399-8e51-0cca9632004d/apply", "externalId" : "3dc9b932-42e0-4399-8e51-0cca9632004d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.0874654,14.4212535" } ], "locationText" : "Prague, Czech Republic", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI", "professionalSkills" : [ "Quality strategy", "Test automation", "Technical leadership", "Mentorship" ], "hardSkillsList" : [ "SaaS quality", "Cloud quality", "Test tooling", "Reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "SaaS quality", "level" : "intermediate" }, { "name" : "Cloud quality", "level" : "intermediate" }, { "name" : "Test tooling", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Quality strategy, Test automation, Technical leadership", "majorSkillsList" : [ "Quality strategy", "Test automation", "Technical leadership" ], "coreResponsibilities" : "Enable high quality standards, Lead Quality Community of Practice, Own product quality strategy, Govern product-wide quality processes, Focus on automation testing, Focus on tooling for reporting, Focus on tooling for process adherence, Lead development of Platform Test Tooling, Solve challenging technical problems, Align SaaS engineering organization, Mentor individuals and teams, Share experience with quality, Share best practices, Share lessons learned, Take end-to-end ownership of tooling, Define quality strategy, Establish unified approach, Automate testing of user flows, Identify testing approaches, Serve as internal advocate, Keep quality high on agenda, Shape processes for quality, Drive processes for quality, Prioritize quality, Address quality, Decide test coverage, Manage bug triage frameworks, Mentor on testing best practices, Raise overall quality bar, Collaborate with product leadership, Collaborate with engineering leadership, Align on quality definition, Align on quality stages", "teamCollaboration" : "Quality Community of Practice; Cross-functional discussions; Product and engineering leadership", "domainKnowledge" : "Enterprise SaaS; Distributed systems; Multi-agent environments; Data quality; Data governance; Data catalog; Data lineage; Data observability; Reference data management", "domainList" : [ "enterprise-saas", "distributed-systems", "multi-agent-environments", "data-quality", "data-governance", "data-catalog", "data-lineage", "data-observability", "reference-data-management" ], "domainSpecificKnowledge" : [ "Enterprise SaaS", "Distributed systems", "Multi-agent environments", "Data quality", "Data governance", "Data catalog", "Data lineage", "Data observability", "Reference data management" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Presenting strategy; Advocating for quality", "continuousLearning" : "Online courses; Udemy access; Company library", "problemSolvingSkills" : "Trade-off decisions", "qualificationsBasic" : "Experience driving quality strategy across multiple teams, Experience on enterprise SaaS products, Comfortable making trade-off decisions in testing", "qualificationsPreferred" : "Examples of using AI tooling to improve QA efficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Description Ataccama is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE AI Agent, Ataccama ONE brings autonomy to data quality and governance, continuously monitoring, improving, and explaining the reliability of data across complex enterprise and multi-agent environments. At the core of the platform is Ataccama’s market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence. Recognized as a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality and positioned furthest in Completeness of Vision, Ataccama continues to set the standard for enterprise-grade data trust. Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values: Challenging Fun ONE Team Customer Centric Candid and Caring Aim High ## Your Challenge Enabling high quality standards by leading Quality Community of Practice for our Agentic product. This includes ownership and governance of the Product Quality strategy including product-wide quality processes, with heavy focus on automation testing and tooling around reporting and quality process adherence. Technical Leadership: Lead development of Platform Test Tooling, solve the most challenging technical problems (breadth vs depth of tests on various levels), and align our SaaS engineering organization so every single Ataccamer understands how we achieve high quality standards. Mentorship: Mentor individuals and teams by sharing your extensive experience with quality in SaaS/cloud environment, best practices, and lessons learned on individual bases or via SaaS Quality Community of Practice. Ownership: Take end-to-end ownership of Platform Test Tooling from design to implementation and adoption of the tooling by functional teams. ## Responsibilities Define and own the quality strategy for Ataccama's Agentic platform, establishing a unified approach to automated testing of critical user flows across teams Identify the right combination of testing approaches for a distributed SaaS architecture Serve as the internal advocate for product quality within Product & Engineering, keeping quality high on the agenda across planning, development, and release cycles Shape and drive processes around how teams prioritise and address quality — from test coverage decisions to bug triage frameworks Mentor others across teams on testing best practices, helping raise the overall quality bar without creating bottlenecks Collaborate closely with product and engineering leadership to align on what quality means for different parts of the system and different stages of delivery ## Is this you? You have experience driving quality strategy across multiple teams or a multi-team engineering organisation You've worked on enterprise SaaS products and understand the specific challenges that come with distributed systems and larger enterprise products that are developed across multiple engineering teams You're comfortable making and defending trade-off decisions in testing You have a couple of concrete examples of how you've used AI tooling to improve your own or your team's efficiency in a QA context (nice-to-have — but we'd love to hear the stories) You're comfortable being visible — presenting your strategy, advocating for quality in cross-functional discussions ## Additional Information Perks & Benefits • Long-Term Incentive Program • 2 sick days and 25 days of vacation, with the option to request additional Flexible Time-Off days when needed • The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family • Flexible working hours & hybrid work setup • Benefit Plus - flexible employee benefit platform (incl. Multisport card) • Annual package for mental health support • \"Bring Your Friend\" referral program • Shared company cards for free entrance to Prague Zoo & Botanical garden • Company bikes, longboards, e-scooters • Conference tickets to the best industry events of the year • Online courses & company access to Udemy to hone your skills • Access to paid AI tools • Company library, where you can even suggest the best educational books for us to order • Kitchens stocked with fresh fruit and juice, teas, and the best coffee Work Equipment • Company laptop • Company mobile phone + SIM card & package of mobile data At Ataccama, our core values are Candid & Caring, so we are upfront about our process and details that are important to you. We sometimes use AI tools to help us with things like reviewing applications, taking notes from screening conversations, scheduling interviews, or supporting assessments. These tools make the process smoother and fairer — but don’t worry, they never make the final decision. Every hiring decision is made by our Talent Acquisition Partners and Hiring Managers, with AI only acting as a helpful assistant. We believe technology should support the process, not replace the human touch. We currently use AI-assisted tools - Metaview for interview notes and Lever Talent Fit to help highlight key experience. If you have any questions or concerns, feel free to reach out to us at jobs@ataccama.com, making reference to AI Act Inquiry in the subject line. While we highly value cooperation with all our business partners, we don’t accept unsolicited resumes from any sources other than directly from a candidate. We reserve the right not to pay any fee for sending an unsolicited offer containing the details or resume of a job candidate, even if the relevant candidate is employed by our company. ", "summaryDescription" : "Product Quality Lead at Ataccama. Skills: Quality strategy, Test automation, Technical leadership. Enable high quality standards. Lead Quality Community of Practice", "postedDate" : "2026-06-15T15:21:33.690", "createdAt" : "2026-06-15T15:21:33.690", "lastUpdated" : "2026-06-16T15:37:44.357", "ingestTimestamp" : "2026-06-16T03:20:13.842", "mongoId" : "6a3050c1f292fd229cef4e05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "SaaS quality", "Cloud quality", "Test tooling", "Reporting", "Leadership", "Quality strategy", "Test automation", "Technical leadership", "Mentorship", "Enterprise SaaS", "Distributed systems", "Multi-agent environments", "Data quality", "Data governance", "Data catalog", "Data lineage", "Data observability", "Reference data management", "AI tools" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 538.9205, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a72f292fd229cf513e2", "title" : "Quality Control Analyst", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Control Analyst in Houston, adjusted for the healthcare industry and company size." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T06:47:14.742", "fingerprint" : "ee0dd63b7d2ca8f140c0fd69bf4e15cb9a94eacad94fed0b8b9df48276b783e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282779009?gh_jid=4282779009", "externalId" : "4282779009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI tools", "professionalSkills" : [ "Systems thinking", "Process improvement" ], "hardSkillsList" : [ "Visual verification", "Batch review", "Sampling control", "Regulatory alignment", "Deviation identification", "Audit support", "Data analysis" ], "softSkillsList" : [ "Customer Focus", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability" ], "hardSkills" : [ { "name" : "Visual verification", "level" : "intermediate" }, { "name" : "Batch review", "level" : "intermediate" }, { "name" : "Sampling control", "level" : "intermediate" }, { "name" : "Regulatory alignment", "level" : "intermediate" }, { "name" : "Deviation identification", "level" : "intermediate" }, { "name" : "Audit support", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" } ], "majorSkills" : "Quality control, Regulatory compliance, AI tools", "majorSkillsList" : [ "Quality control", "Regulatory compliance", "AI tools" ], "coreResponsibilities" : "Ensure product integrity, Ensure labeling accuracy, Ensure regulatory compliance, Perform inspections of products, Perform inspections of labels, Validate batch records, Ensure batch record completeness, Ensure batch record traceability, Ensure batch record alignment with GMP, Execute sampling procedures, Ensure representative sample selection, Ensure sample integrity, Ensure sample compliance with quality standards, Ensure inspections meet 503A requirements, Ensure inspections meet 503B requirements, Detect discrepancies in products, Detect discrepancies in labeling, Document discrepancies, Escalate discrepancies, Prepare inspection data for audits, Prepare inspection documentation for audits, Identify inspection inefficiencies, Recommend inspection improvements, Analyze inspection data trends, Drive proactive quality improvements, Reduce recurring issues, Maintain adherence to SOPs, Contribute to SOP updates", "teamCollaboration" : "Cross-functional alignment", "domainKnowledge" : "GMP; 503A regulations; 503B regulations; Quality systems; Pharmaceutical manufacturing", "domainList" : [ "gmp", "503a-regulations", "503b-regulations", "quality-systems", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "GMP", "503A regulations", "503B regulations", "Quality systems", "Pharmaceutical manufacturing" ], "toolProficiency" : [ "AI-assisted detection tools", "Digital tracking systems", "AI-driven anomaly detection" ], "communicationSkills" : "Effective communication; Documentation skills", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Analytical capabilities", "specialRequirements" : "Remain stationary for significant amount of workday, Use hands and fingers to handle or feel, Access, input, and retrieve information from computer, Move about the office, Move around corporate campus, Stand, Walk, Reach with arms and hands, Climb or balance, Stoop, kneel, crouch or crawl", "outcomesObjectives" : "Deliver precision; Deliver speed; Deliver accountability; Impact patient safety; Impact audit readiness; Impact operational excellence", "qualificationsBasic" : "Minimum two years experience in pharmaceutical manufacturing, Minimum two years experience in quality inspection, Minimum two years experience in regulated production environment, Proven performance in regulated production, Demonstrated success identifying defects, Demonstrated success ensuring compliance, Demonstrated success supporting audit readiness, Experience working within 503A environments, Experience working within 503B environments, Experience in regulated pharmaceutical manufacturing, Experience in regulated healthcare manufacturing, Proven ability to use digital tools, Proven ability to use AI tools", "qualificationsPreferred" : "Experience in similarly regulated settings", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we’ve created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that’s transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let’s transform healthcare together. POSITION SUMMARY The Product and Labeling Inspector ensures product integrity, labeling accuracy, and regulatory compliance across 503A and 503B operations. This role owns inspection execution, deviation identification, and release readiness within a high-throughput, quality-critical environment. The inspector leverages AI-enabled tools to detect anomalies, streamline documentation, and enhance inspection consistency. Operating at P80–P90 performance expectations, this individual delivers precision, speed, and accountability, directly impacting patient safety, audit readiness, and operational excellence across manufacturing, packaging, and distribution workflows. RESPONSIBILITIES Inspection Execution Visual Verification: Perform detailed inspections of products and labels ensuring accuracy, compliance, and defect-free release using AI-assisted detection tools. Batch Review: Validate batch records, ensuring completeness, traceability, and alignment with GMP requirements using AI-supported document analysis tools. Sampling Control: Execute sampling procedures ensuring representative selection, integrity, and compliance with quality standards using digital tracking systems. Compliance Assurance Regulatory Alignment: Ensure inspections meet 503A and 503B regulatory requirements using AI tools to monitor compliance deviations and trends. Deviation Identification: Detect, document, and escalate discrepancies in products or labeling using AI-driven anomaly detection and reporting systems. Audit Support: Prepare inspection data and documentation to support internal and external audits, ensuring readiness and accuracy at all times. Process Improvement Continuous Improvement: Identify inspection inefficiencies and recommend improvements using AI insights to enhance quality, speed, and consistency. Data Utilization: Analyze inspection data trends using AI tools to drive proactive quality improvements and reduce recurring issues. Standard Adherence: Maintain strict adherence to SOPs while contributing to updates based on operational feedback and inspection outcomes. KNOWLEDGE AND SKILLS Strong understanding of GMP, 503A/503B regulations, and quality systems within pharmaceutical manufacturing environments. Ability to leverage AI tools for inspection accuracy, data analysis, and continuous improvement initiatives effectively. High attention to detail with strong analytical and systems-thinking capabilities in regulated production environments. Effective communication and documentation skills ensuring clarity, compliance, and cross-functional alignment under pressure. EXPERIENCE AND QUALIFICATIONS Minimum two years experience in pharmaceutical manufacturing, quality inspection, or regulated production environment with proven performance. Demonstrated success identifying defects, ensuring compliance, and supporting audit readiness in high-throughput operations environments. Experience working within 503A or 503B environments or similarly regulated pharmaceutical or healthcare manufacturing settings. Proven ability to use digital or AI tools to enhance inspection accuracy, reporting efficiency, and quality outcomes. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Quality Control Analyst at Empower Pharmacy. Skills: Quality control, Regulatory compliance, AI tools. Ensure product integrity. Ensure labeling accuracy", "postedDate" : "2026-06-15T23:24:02.224", "createdAt" : "2026-06-15T23:24:02.224", "lastUpdated" : "2026-06-16T06:47:14.742", "ingestTimestamp" : "2026-06-15T23:24:02.224", "mongoId" : "6a305a72f292fd229cf513e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Visual verification", "Batch review", "Sampling control", "Regulatory alignment", "Deviation identification", "Audit support", "Data analysis", "Customer Focus", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Quality control", "Regulatory compliance", "AI tools", "Systems thinking", "Process improvement", "GMP", "503A regulations", "503B regulations", "Quality systems", "Pharmaceutical manufacturing", "AI-assisted detection tools", "Digital tracking systems", "AI-driven anomaly detection" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 528.0851, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305640f292fd229cf264ef", "title" : "Data Analyst - Quality & Fraud", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the E-commerce industry in Barcelona, Spain, adjusted for seniority and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T10:14:01.602", "fingerprint" : "4cc2b4f5bf6c76a9d8c6ba6e13ef71084189f9c32b380c84fc493a3563a873a9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132180279-data-analyst-quality-fraud-they-she-he-", "externalId" : "744000132180279", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Excel, Looker, Tableau, PowerBI", "professionalSkills" : [ "Analytical skills", "Coding skills", "Problem-solving skills", "Business mindset", "Strategic vision" ], "hardSkillsList" : [ "Data-driven insights", "Detection frameworks", "Monitoring tools", "Analytical models" ], "softSkillsList" : [ "Organized", "Obsessed with detail" ], "hardSkills" : [ { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Detection frameworks", "level" : "intermediate" }, { "name" : "Monitoring tools", "level" : "intermediate" }, { "name" : "Analytical models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Obsessed with detail" } ], "majorSkills" : "Quality strategy, Fraud detection, Risk mitigation", "majorSkillsList" : [ "Quality strategy", "Fraud detection", "Risk mitigation" ], "coreResponsibilities" : "Own and define global courier fraud strategy, Ensure consistent implementation, Ensure continuous improvement, Proactively address key courier-related challenges, Develop scalable self-service dashboards, Develop monitoring tools, Empower local teams to act on insights, Perform deep-dive analyses, Identify drivers of quality gaps, Propose clear, actionable solutions, Provide regular updates to leadership, Report on courier quality performance, Highlight risks and opportunities, Develop analytical models, Develop frameworks to monitor fraud risks, Predict potential no-shows, Optimize fleet distribution, Collaborate cross-functionally with Operations, Collaborate with Fraud Prevention, Collaborate with Product, Collaborate with Data teams, Align strategies, Ensure impact, Understand courier pain points, Understand courier motivations, Design data-informed solutions, Drive courier satisfaction, Drive operational excellence", "teamCollaboration" : "Cross-functionally with Operations; Cross-functionally with Fraud Prevention; Cross-functionally with Product; Cross-functionally with Data teams", "domainKnowledge" : "Courier fraud; Risk mitigation; GPS spoofing; Account sharing; Payment abuse", "domainList" : [ "courier-fraud", "risk-mitigation", "gps-spoofing", "account-sharing", "payment-abuse" ], "domainSpecificKnowledge" : [ "Courier fraud", "Risk mitigation", "GPS spoofing", "Account sharing", "Payment abuse" ], "toolProficiency" : [ "BI platforms" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Reduce malicious activity; Guarantee Glovo's fleet remains fair; Guarantee Glovo's fleet remains secure", "qualificationsBasic" : "3+ years of work experience, SQL proficiency, Excel proficiency, BI platforms experience, English is a must", "qualificationsPreferred" : "Degree in Engineering, Degree in Business, Degree in Economics, Degree in Project Management, Degree in Business Analytics, Degree in data driven domain, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. If you’re here, it’s because you’re looking for an exciting ride. A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people , paving the way forward together. Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries. Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose. What makes our ride unique? \uD83E\uDD1D Our culture and strong values. \uD83D\uDCAA Our career development philosophy. \uD83E\uDD1D Our commitment to being a force for good. We have a vision: Building the largest marketplace in your city, to give access to anything in minutes. And this is where your ride starts. YOUR MISSION Join Glovo's Global Operations team and become an integral part of our dynamic and challenging environment, offering numerous opportunities for growth and development. We are seeking a Senior Data Analyst to join the Courier Fraud team, driving the design, monitoring, and implementation of our global anti-fraud and risk mitigation strategy. In this role, you will be responsible for delivering data-driven insights, building detection frameworks and dashboards, and ensuring that our global integrity standards are consistently met and enforced. Your work will be central to reducing malicious activity (such as abuse of cancellations, account sharing, GPS spoofing, and payment abuse) and to guaranteeing that Glovo’s fleet remains fair and secure. THE JOURNEY * Own and define the global courier fraud strategy across all Glovo markets, ensuring consistent implementation and continuous improvement. * Proactively address key courier-related challenges at local, regional, and global levels. * Develop scalable self-service dashboards and monitoring tools that empower local teams to act on quality-related insights. * Perform deep-dive analyses to identify the drivers of quality gaps and propose clear, actionable solutions. * Provide regular updates and reports to leadership on courier quality performance, highlighting risks and opportunities. * Develop analytical models and frameworks to monitor fraud risks, predict potential no-shows, and optimize fleet distribution. * Collaborate cross-functionally with Operations, Fraud Prevention, Product, and Data teams to align strategies and ensure impact. * Step into the shoes of the couriers—understanding their pain points and motivations—to design data-informed solutions that drive both courier satisfaction and operational excellence. ## Qualifications WHAT YOU WILL BRING TO THE RIDE * Degree in Engineering, Business, Economics, Project Management, Business Analytics or any data driven domain. * +3 years of work experience providing internal teams with the necessary data to make the right decisions and proven experience on actionate those insights (this is a must). * Strong analytical and coding skills: Good inSQL and Excel proficiency(or extensive coding experience), and BI platforms experience (Looker, Tableau, PowerBI,…). * Strong strategic vision and business mindset. * Excellent problem-solving and analytical skills. Comfortable to break down complex problems into solutions. * Comfortable working in a high-growth and high-performance environment, dealing with ambiguity while maintaining a positive mindset. * Exceptional verbal and written communication skills (English is a must) * Proactive, organized, and obsessed with detail. Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Discounted gym memberships to keep you energized. * \uD83C\uDFD6️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [LinkedIn](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "Data Analyst - Quality & Fraud at Delivery Hero. Skills: Quality strategy, Fraud detection, Risk mitigation. Own and define global courier fraud strategy. Ensure consistent implementation", "postedDate" : "2026-06-15T11:42:30.000", "createdAt" : "2026-06-15T23:45:02.060", "lastUpdated" : "2026-06-16T10:14:01.602", "ingestTimestamp" : "2026-06-15T23:45:02.060", "mongoId" : "6a305640f292fd229cf264ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data-driven insights", "Detection frameworks", "Monitoring tools", "Analytical models", "Organized", "Obsessed with detail", "Quality strategy", "Fraud detection", "Risk mitigation", "Analytical skills", "Coding skills", "Problem-solving skills", "Business mindset", "Strategic vision", "Courier fraud", "GPS spoofing", "Account sharing", "Payment abuse", "BI platforms" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 524.2501, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056b1f292fd229cf2ccf9", "title" : "Clinical Quality Data Analyst", "company" : "Pullman Regional", "industry" : "Healthcare", "salary" : { "min" : 38.75, "max" : 63.41, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "certifications" : [ "Certification in Healthcare Quality (CPHQ)" ], "timestamp" : "2026-06-16T13:07:51.874", "fingerprint" : "c2cbca8a29e468934a454b8c9d6f2a97b13ae57b3ce25a019b7d2b5ad0efccd9", "source" : "workday", "language" : "en", "applyUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "externalId" : "JR_26000208", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power BI, Excel, Tableau, EHR reporting systems", "professionalSkills" : [ "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking" ], "hardSkillsList" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Quality management", "level" : "intermediate" }, { "name" : "Patient safety", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Electronic medical records", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" } ], "majorSkills" : "Healthcare data analytics, Data visualization, Reporting, Quality metrics", "majorSkillsList" : [ "Healthcare data analytics", "Data visualization", "Reporting", "Quality metrics" ], "coreResponsibilities" : "Organize data sets, Manage data sets, Analyze healthcare data, Optimize business operations, Communicate findings, Design solutions, Identify solutions, Facilitate organizational reporting, Monitor outcomes, Demonstrate knowledge of trends, Demonstrate knowledge of issues, Analyze data, Assist in healthcare management, Assist in decision making, Develop dashboards, Maintain dashboards, Develop scorecards, Maintain scorecards, Develop reports, Maintain reports, Monitor hospital quality metrics, Monitor CMS Star Measures, Monitor patient safety indicators, Monitor infection prevention data, Monitor readmission rates, Monitor patient satisfaction measures, Support CMS reporting requirements, Support regulatory compliance activities, Perform data abstraction, Perform data auditing, Perform data validation, Ensure accuracy, Ensure completeness, Identify trends, Identify variances, Identify opportunities, Collaborate with department leaders, Collaborate with nursing staff, Collaborate with providers, Collaborate with administration, Support quality initiatives, Support performance improvement projects, Prepare reports, Prepare presentations, Assist with accreditation surveys, Assist with state audits, Assist with quality benchmarking, Maintain confidentiality, Comply with HIPAA, Comply with hospital privacy policies, Support implementation of reporting tools, Support optimization of reporting tools", "teamCollaboration" : "Department leaders; Nursing staff; Providers; Administration", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Healthcare data analytics; Healthcare quality metrics; CMS reporting; Patient safety initiatives; Clinical quality management; Patient safety protocols; Infection control standards; Critical access hospital; Accreditation bodies", "domainList" : [ "healthcare-data-analytics", "healthcare-quality-metrics", "cms-reporting", "patient-safety-initiatives", "clinical-quality-management", "patient-safety-protocols", "infection-control-standards", "critical-access-hospital", "accreditation-bodies" ], "domainSpecificKnowledge" : [ "Healthcare data analytics", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies" ], "toolProficiency" : [ "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "communicationSkills" : "Communicate complex data", "problemSolvingSkills" : "Data analysis; Performance improvement", "qualificationsBasic" : "4 years-experience in data analytics, 4 years-experience in quality management, 4 years-experience in patient safety, Knowledge of healthcare quality metrics, Knowledge of CMS reporting, Knowledge of patient safety initiatives, Proficiency with data manipulation software, Experience with data visualization tools, Knowledge of data management applications, Proficiency in managing electronic medical records, Proficiency in data analysis, Proficiency in performance improvement methodologies, Ability to manage multiple projects, Ability to meet deadlines, Ability to communicate complex data, Bachelor's degree in related field", "qualificationsPreferred" : "Master's degree in nursing, Master's degree in Healthcare Administration, Certification in Healthcare Quality (CPHQ), Experience in a critical access hospital, Familiarity with DNV, Familiarity with CMS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Pay Range:** The base pay range for this position is $38.75-$63.41 Hourly however, base pay offered may vary depending on job-related knowledge, skills, and experience. **Job Title:** Clinical Quality Data Analyst **Work Schedule for this Position:** Monday - Friday 8 am - 5 pm **Company Statement:** Pullman Regional is an innovative, patient-focused, multi-disciplinary based work environment where all members of the team contribute to the exceptional care of our patients and the community. **Position Overview:** The Healthcare Data Analyst is responsible for organizing and managing large and varied data sets and associated decision support tools, analyzing healthcare data to optimize business operations, and communicating the findings through the use of data visualization and detailed reports. Applies advanced level knowledge of clinical and financial analysis as well as systems technology to identify and design solutions with respect to clinical, operational and financial performance improvement. Demonstrates an understanding of database functionality and reporting tools, and knowledge of healthcare systems and processes. Demonstrates exceptional analytical capability to develop, design and execute prospective and retrospective analyses. Facilitates organizational reporting of clinical, operational and financial performance and monitoring outcomes of care processes. **A Day in the Life:** * Demonstrate knowledge of current trends and issues in the healthcare data analytics field. * Analyze data to assist in delivering optimal healthcare management and decision making. * Develop and maintain dashboards, scorecards, and reports for quality improvement initiatives. * Monitor hospital quality metrics and CMS Star Measures, patient safety indicators, infection prevention data, readmission rates, and patient satisfaction measures. * Support CMS Critical Access Hospital reporting requirements and other regulatory compliance activities. * Perform data abstraction, auditing, and validation to ensure accuracy and completeness of submissions. * Identify trends, variances, and opportunities for operational and clinical improvement. * Collaborate with department leaders, nursing staff, providers, and administration to support quality initiatives and performance improvement projects. * Prepare reports and presentations for QMS, Medical Staff, Board of Commissioners, and leadership meetings. * Assist with accreditation surveys, state audits, and quality benchmarking activities. * Maintain confidentiality and comply with HIPAA and hospital privacy policies. * Support implementation and optimization of reporting tools such as Power BI, Excel, Tableau, or EHR reporting systems. **About You!** **This Job is For You if You Have:** * A minimum of 4 years-experience in data analytics, quality management, patient safety, or associated field. * Knowledge of healthcare quality metrics, CMS reporting, and patient safety initiatives. * Proficiency with data manipulation software. * Experience with data visualization tools. * Knowledge of data management applications. * Proficiency in managing electronic medical records. * Proficiency in data analysis and performance improvement methodologies. * Ability to manage multiple projects and deadlines in a fast-paced healthcare environment. * Ability to communicate complex data clearly to clinical and non-clinical audiences. * Strong attention to detail and data accuracy. * Bachelor's degree in Healthcare Administration, Health Information Management, Public Health, Data Analytics, Nursing, Business, or related field preferred. * Associate’s degree in related field will be considered with relevant experience. **A Wow if You Have:** * Master’s degree in nursing, Healthcare Administration, or related field. * Certification in Healthcare Quality (CPHQ) is preferred or must be obtained within a set timeframe upon hiring. * Strong knowledge of clinical quality management, patient safety protocols, and infection control standards. * Previous experience in a critical access hospital setting. * Familiarity with accreditation bodies such as DNV or CMS. **Company Perks:** Our employees are our most important asset and that’s reflected in our benefits. Pullman Regional is proud to offer a variety of benefits to support employees and their families, including: * Medical/Vision, Dental, Health Savings Account, and Paid Leave Time * Employer Paid Life Insurance and Long-Term Disability * Retirement with Employer Matching Contributions * Voluntary Benefits that include: Life Insurance, Critical Illness, Accident Insurance, and Short-Term Disability * Services Discount and EAP Resources **A Few More Important Points:** The job posting highlights the most critical responsibilities and requirements of the job. It is not all-inclusive. There may be additional duties, responsibilities, and qualifications for this job. **Disability Contacts:** Applicants with disabilities who require assistance or accommodation should contact Human Resources at [humanresources@pullmanregional.org](mailto:humanresources@pullmanregional.org) **Current Pullman Regional Employees:** To apply, log into Workday, click the Jobs Hub button.", "summaryDescription" : "Clinical Quality Data Analyst at Pullman Regional. Skills: Healthcare data analytics, Data visualization, Reporting, Quality metrics. Organize data sets. Manage data sets", "postedDate" : "2026-06-16T03:47:11.094", "createdAt" : "2026-06-16T03:47:11.035", "lastUpdated" : "2026-06-16T13:07:51.874", "ingestTimestamp" : "2026-06-16T03:47:11.035", "mongoId" : "6a3056b1f292fd229cf2ccf9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "salaryAnnualMin" : 80600, "salaryAnnualMax" : 131892, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement", "Healthcare data analytics", "Reporting", "Quality metrics", "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking", "Manage multiple projects", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies", "Certification in Healthcare Quality (CPHQ)", "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 510.43704, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308747f292fd229c087656", "title" : "Manager, Cost Accounting", "company" : "Home Market Foods", "industry" : "Manufacturing", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Norwood, Massachusetts, United States", "locations" : [ "Norwood", "Massachusetts", "United States" ], "certifications" : [ "CPA", "CMA", "MBA" ], "timestamp" : "2026-06-16T11:25:38.594", "fingerprint" : "0eceba73e9028c0ede6ea5b3c3a2393cafdb1c7fa4eb7bb63d8f2c3471a520ad", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/homemarketfoods/jobs/5165389007", "externalId" : "5165389007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Norwood", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.1945430,-71.1994976" } ], "locationText" : "Norwood, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Power BI, SQL", "professionalSkills" : [ "Cost analysis", "Financial reporting", "Operational performance", "Budgeting", "Forecasting", "Capital investment evaluation" ], "hardSkillsList" : [ "Inventory accounting", "Product costing", "Cost accounting", "Manufacturing accounting", "Inventory valuation", "Financial controls", "ERP transaction integrity", "Cost transparency", "Standard costing practices" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Inventory accounting", "level" : "intermediate" }, { "name" : "Product costing", "level" : "intermediate" }, { "name" : "Cost accounting", "level" : "intermediate" }, { "name" : "Manufacturing accounting", "level" : "intermediate" }, { "name" : "Inventory valuation", "level" : "intermediate" }, { "name" : "Financial controls", "level" : "intermediate" }, { "name" : "ERP transaction integrity", "level" : "intermediate" }, { "name" : "Cost transparency", "level" : "intermediate" }, { "name" : "Standard costing practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cost accounting, Manufacturing finance, Inventory control, Product costing", "majorSkillsList" : [ "Cost accounting", "Manufacturing finance", "Inventory control", "Product costing" ], "coreResponsibilities" : "Lead manufacturing accounting activities, Manage product costing structures, Analyze manufacturing cost drivers, Oversee cycle count programs, Partner with manufacturing leadership, Develop operational finance reporting, Lead efforts to improve cost transparency, Evaluate costing methodologies, Support annual budgeting, Support forecasting, Support inventory planning, Support product costing analysis, Support capital investment evaluations, Identify costing process improvements, Identify inventory control improvements, Identify reporting automation opportunities, Support audit requirements, Ensure compliance with policies, Lead team members, Mentor team members, Develop team members, Foster accountability, Foster operational partnership, Foster continuous improvement, Foster financial discipline", "teamCollaboration" : "Manufacturing leadership; Cross-functional leadership teams; Operations leadership; Finance leadership; Engineering; Procurement; Supply chain", "domainKnowledge" : "Manufacturing accounting; Inventory controls; Product costing methodologies; Inventory valuation; Financial reporting", "domainList" : [ "manufacturing-accounting", "inventory-controls", "product-costing-methodologies", "inventory-valuation", "financial-reporting" ], "domainSpecificKnowledge" : [ "Manufacturing accounting", "Inventory controls", "Product costing methodologies", "Inventory valuation", "Financial reporting" ], "toolProficiency" : [ "Dynamics 365", "SAP", "Oracle" ], "continuousLearning" : "Employee tuition reimbursement; College scholarship for dependents", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "MFG experience required, Wear PPE, Safety footwear", "qualificationsBasic" : "Bachelor's degree in Accounting, 5–8 years manufacturing finance experience, 5–8 years cost accounting experience, Manufacturing ERP systems experience, Advanced Excel skills", "qualificationsPreferred" : "CPA preferred, CMA preferred, MBA preferred, Power BI preferred, SQL preferred, Reporting and analytics tools preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**This role is located in our Production facility in Norwood, MA, and will follow our Hybrid Work Schedule** This role requires experience in Cost Accounting from full production manufacturing companies. \uD83D\uDCB0 Pay Range: $125,000 – $145,000 annually (based on experience and qualifications) OVERVIEW OF ROLE: The Manager, Cost Accounting, will be a key member of the Operations Finance organization and serve as the primary leader for manufacturing accounting, inventory accounting, product costing, and operational cost analysis activities. This role is responsible for ensuring the integrity of manufacturing financial data, maintaining strong inventory controls, improving cost visibility, and providing actionable financial analysis that supports operational and business decision-making. Working closely with manufacturing, supply chain, engineering, procurement, and finance leadership, the Manager, Cost Accounting will help strengthen manufacturing finance processes, develop scalable reporting and analytical capabilities, and drive greater transparency into product and operational costs. The ideal candidate is analytically strong, systems-oriented, operationally engaged, and comfortable balancing strong accounting fundamentals with cross-functional business partnership. This position reports directly to the Director of Operations Finance / Plant Controller. ESSENTIAL DUTIES AND RESPONSIBILITIES: Lead manufacturing accounting activities including inventory accounting, month-end close support, journal entries, account reconciliations, inventory valuation, and maintenance of strong financial controls over manufacturing transactions. Manage and maintain product costing structures, including bills of material (BOMs), routings, inventory valuation methodologies, and manufacturing cost data to ensure accurate financial reporting and operational visibility. Analyze and communicate key manufacturing cost drivers, including labor utilization, material consumption, scrap, yields, inventory adjustments, purchase price impacts, and production efficiencies, providing actionable insights to operations and finance leadership. Oversee cycle count programs, inventory control processes, and ERP transaction integrity to ensure accurate inventory records and financial results. Partner with manufacturing, engineering, procurement, supply chain, and operations leadership to improve cost visibility, inventory accuracy, operational performance, and financial decision-making. Develop, maintain, and enhance operational finance reporting, KPI dashboards, and manufacturing performance analytics that support business reviews, operational accountability, and continuous improvement initiatives. Lead efforts to improve cost transparency across products, processes, and manufacturing operations through enhanced reporting, analytics, costing methodologies, and operational partnership. Partner with the Director of Operations Finance / Plant Controller to evaluate, develop, and implement enhanced costing methodologies, processes, and reporting capabilities, including the future development of standard costing practices where appropriate. Support annual budgeting, forecasting, inventory planning, product costing analysis, and capital investment evaluations related to manufacturing operations. Identify and drive opportunities to improve costing processes, inventory controls, reporting automation, data integrity, and overall manufacturing finance effectiveness. Support internal and external audit requirements while ensuring compliance with company policies, accounting standards, and inventory control procedures. Lead, mentor, and develop team members while fostering a culture of accountability, operational partnership, continuous improvement, and financial discipline. Other duties as assigned EDUCATION AND/OR EXPERIENCE: Bachelor's degree in Accounting, Finance, or related field required. CPA, CMA, or MBA preferred. 5–8 years of progressive manufacturing finance and/or cost accounting experience within a full production manufacturing environment. Strong understanding of manufacturing accounting, inventory controls, product costing methodologies, inventory valuation, and financial reporting. Experience working within manufacturing ERP systems such as Dynamics 365, SAP, Oracle, or similar platforms. Advanced Excel skills required; Power BI, SQL, or other reporting and analytics tools preferred. Demonstrated ability to partner effectively with manufacturing and cross-functional leadership teams. Strong analytical, organizational, problem-solving, and communication skills. PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT: The physical demands and work environment described below are representative of those required to perform this job's essential functions. Ability to sit and/or stand for prolonged periods while working at a desk and operating a computer. Must be able to wear required Personal Protective Equipment (PPE) and safety footwear, as required. Ability to regularly walk throughout office, warehouse, and manufacturing environments. May be exposed to varying temperatures, noise levels, food allergens, moving machinery, and other conditions commonly found in a food manufacturing environment. Exciting Benefits Await You! Enjoy top-tier Medical, Dental, Vision coverage. Pamper your furry friends with Pet Insurance. Stay fit with our Wellness Plan and Gym Reimbursement. Boost your skills with Employee Tuition Reimbursement. Unlock endless opportunities with College Scholarship for dependents. Reap the Rewards of Our Bonus Program Available to Our Salary and Hourly Employees. Receive a Generous 401k Company Match. Take advantage of Competitive Paid Time Off. Elevate Your Safety Net with Company-Sponsored Life Insurance Coverage. Receive Relocation Assistance for a Smooth Transition. Earn Rewards through our Employee Bonus Referral Program. Elevate Your Workplace Experience with Community Impact Opportunities. Celebrate Together with Team Events and Seasonal Workplace Gatherings. Opportunity Calls! Unsure if you meet all requirements? Don't hesitate, apply! Our recruitment process is prompt and transparent. Your resume will receive swift attention from our talent professionals. If chosen, you'll undergo a recruiter phone screen, followed by interviews with key team members. We value your potential. At Home Market Foods, we champion equal opportunities for all, prohibiting discrimination based on race, religion, gender, and more. Our commitment extends across all aspects of employment, ensuring a fair and inclusive workplace. At this time, Home Market Foods will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN", "summaryDescription" : "Manager, Cost Accounting at Home Market Foods. Skills: Cost accounting, Manufacturing finance, Inventory control, Product costing. Lead manufacturing accounting activities. Manage product costing structures", "postedDate" : "2026-06-16T01:21:05.212", "createdAt" : "2026-06-16T01:21:05.212", "lastUpdated" : "2026-06-16T11:25:38.594", "ingestTimestamp" : "2026-06-16T01:21:05.212", "mongoId" : "6a308747f292fd229c087656", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Inventory accounting", "Product costing", "Cost accounting", "Manufacturing accounting", "Inventory valuation", "Financial controls", "ERP transaction integrity", "Cost transparency", "Standard costing practices", "Leadership", "Mentoring", "Manufacturing finance", "Inventory control", "Cost analysis", "Financial reporting", "Operational performance", "Budgeting", "Forecasting", "Capital investment evaluation", "Inventory controls", "Product costing methodologies", "CPA", "CMA", "MBA", "Dynamics 365", "SAP", "Oracle" ], "skillCount" : 27, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 509.38937, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305118f292fd229cef984e", "title" : "Data Product Manager", "industry" : "Product", "salary" : { "min" : 60000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Product Manager in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:45:12.960", "fingerprint" : "ea267628c0ec7eeee9b11ec65941d7666cd65b54508d71c49e0c4c412009fdf3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f070c7a8-165b-4360-a357-5c84d8821834/apply", "externalId" : "f070c7a8-165b-4360-a357-5c84d8821834", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Data modeling", "Data interpretation", "Business insights", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products" ], "hardSkillsList" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets" ], "hardSkills" : [ { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Cohort analysis", "level" : "intermediate" }, { "name" : "Cross-dataset reasoning", "level" : "intermediate" }, { "name" : "Alternative data", "level" : "intermediate" }, { "name" : "Panel data", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" } ], "majorSkills" : "Data products, AI-ready data, Business insights, Data quality", "majorSkillsList" : [ "Data products", "AI-ready data", "Business insights", "Data quality" ], "coreResponsibilities" : "Own transformation of raw datasets, Define how data is modeled, Define how data is interpreted, Define how data is delivered, Design methodologies, Maintain methodologies, Translate complex datasets into insights, Partner with Data Engineering, Ensure robust pipelines, Ensure clear definitions, Ensure well-documented data structures, Define data quality standards, Define metric definitions, Define lineage tracking, Define methodological guardrails, Establish rules for data reasoning, Lead validation processes, Lead testing processes, Lead incident management processes, Collaborate with Product teams, Collaborate with Leadership teams, Identify new use cases, Improve capabilities, Translate customer needs into solutions", "teamCollaboration" : "Cross-functionally between technical teams; With product stakeholders; With business stakeholders; With Data Engineering; With Product teams; With Leadership teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Alternative data; Panel data; Complex datasets; AI/ML products; LLM-based systems", "domainList" : [ "alternative-data", "panel-data", "complex-datasets", "ai-ml-products", "llm-based-systems" ], "domainSpecificKnowledge" : [ "Alternative data", "Panel data", "Complex datasets", "AI/ML products", "LLM-based systems" ], "communicationSkills" : "Simplify complex data methodologies", "documentationSkills" : "Data documentation", "continuousLearning" : "Learning & development reimbursement", "innovationCreativity" : "Entrepreneurial mindset; Builder-oriented mindset", "problemSolvingSkills" : "Methodological nuance; Ambiguity", "outcomesObjectives" : "Ensure accuracy and consistency; Ensure reliability before deployment", "qualificationsBasic" : "3-6+ years of experience, SQL proficiency, Experience owning metric definitions, Experience owning data documentation, Experience owning data quality frameworks, Background working with alternative data, Background working with panel data, Proven ability to work cross-functionally", "qualificationsPreferred" : "Exposure to AI/ML products, Exposure to LLM-based systems, Exposure to evaluation frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the transformation of raw alternative datasets into structured, scalable, AI-ready data products, defining how data is modeled, interpreted, and delivered to end users. Design and maintain methodologies that translate complex datasets into reliable business insights, including segmentation, cohort analysis, and cross-dataset reasoning. Partner with Data Engineering to ensure robust pipelines, clear definitions, and well-documented data structures that support product scalability. Define and enforce data quality standards, metric definitions, lineage tracking, and methodological guardrails to ensure accuracy and consistency. Establish rules for how the product reasons across datasets, including edge cases, limitations, and acceptable inference boundaries for AI-generated insights. Lead validation, testing, and incident management processes for data changes, ensuring reliability before production deployment. Collaborate with Product and Leadership teams to identify new use cases, improve capabilities, and translate customer needs into scalable data solutions. Requirements: 3–6+ years of experience in data product management, analytics, data science, product analytics, or related data-centric roles. Strong SQL proficiency and solid understanding of data pipelines, schemas, and upstream/downstream dependencies. Experience owning metric definitions, data documentation, or data quality frameworks in production environments. Background working with alternative data, panel data, or similarly complex datasets with methodological nuance and ambiguity. Proven ability to work cross-functionally between technical data teams and product or business stakeholders. Strong communication skills with the ability to simplify complex data methodologies into clear, actionable guidance. Demonstrated ability to build and ship data-driven products or frameworks in fast-moving environments. Comfortable working in ambiguity with an entrepreneurial, builder-oriented mindset. Exposure to AI/ML products, LLM-based systems, or evaluation frameworks is a strong plus. Benefits: Competitive base salary with comprehensive benefits package. Fully remote-friendly role within the United States. Flexible work hours and generous vacation policy. 401(k) retirement plan with company match. Parental leave, wellness budget, and learning & development reimbursement. High-impact, growth-oriented environment where performance drives advancement. Opportunity to work on cutting-edge AI-driven data products shaping the future of analytics. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Data Product Manager. Skills: Data products, AI-ready data, Business insights, Data quality. Own transformation of raw datasets. Define how data is modeled", "postedDate" : "2026-06-15T07:54:15.500", "createdAt" : "2026-06-15T07:54:15.500", "lastUpdated" : "2026-06-16T12:45:12.960", "ingestTimestamp" : "2026-06-16T03:23:15.034", "mongoId" : "6a305118f292fd229cef984e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Segmentation", "Cohort analysis", "Cross-dataset reasoning", "Alternative data", "Panel data", "Complex datasets", "Data products", "AI-ready data", "Business insights", "Data quality", "Data modeling", "Data interpretation", "Data pipelines", "Data structures", "Data quality standards", "Metric definitions", "Lineage tracking", "Methodological guardrails", "Data validation", "Data testing", "Incident management", "Data-driven products", "Roadmap planning", "AI/ML products", "LLM-based systems" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 505.70392, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6af374d8ee00a090f628", "title" : "Data Quality Data Analyst", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Quality Data Analyst in Krakow, Poland, with adjustments for the consulting industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T00:55:31.423", "fingerprint" : "5c743ab6cde29550097dbad4c3616808091c0f263e1d975fe2d8a6eeb23d1234", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8002462", "externalId" : "8002462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0619474,19.9368564" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Krakow, Poland; Warsaw, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data manipulation", "Root cause analysis" ], "hardSkillsList" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation" ], "hardSkills" : [ { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data joining", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data Quality, Data analysis, SQL", "majorSkillsList" : [ "Data Quality", "Data analysis", "SQL" ], "coreResponsibilities" : "Support Data Quality initiatives, Analyze datasets, Understand datasets, Assess datasets, Identify data quality issues, Identify opportunities for improvement, Perform data extraction, Perform data transformation, Perform data joining, Perform data manipulation, Contribute to DRR decommissioning process, Ensure data integrity, Ensure data continuity, Collaborate with business stakeholders, Collaborate with data engineers, Collaborate with technology teams, Define data solutions, Implement data solutions, Conduct data validation, Conduct data reconciliation, Conduct root cause analysis, Document data flows, Document data quality controls, Document analytical findings", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with data engineers; Collaborate with technology teams", "domainKnowledge" : "Financial services; Banking; Credit; Credit domain", "domainList" : [ "financial-services", "banking", "credit", "credit-domain" ], "domainSpecificKnowledge" : [ "Financial services", "Banking", "Credit", "Credit domain" ], "toolProficiency" : [ "Jupyter Notebooks" ], "communicationSkills" : "Communicate technical findings", "documentationSkills" : "Document data flows; Document data quality controls; Document analytical findings", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities; Root cause analysis", "qualificationsBasic" : "Experience in Data Quality, Data analysis roles, Understand, join, transform, and manipulate datasets, Advanced SQL, Data querying skills, Python, Jupyter Notebooks, Analytical and problem-solving capabilities, Ability to communicate technical findings", "qualificationsPreferred" : "Experience with Prophecy, Data migration experience, Application decommissioning experience, System retirement projects experience, Knowledge of data governance, Data quality frameworks knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "Data Analyst – Data Quality (Financial services/Credit) Location: Krakow or Warsaw preferred Capco a Wipro Company Capco a Wipro Company is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent. Role Overview We are seeking an experienced Data Analyst with strong Data Quality (DQ) expertise to join us. The successful candidate will initially focus on data quality initiatives and will gradually transition into supporting the DRR decommissioning (demise) process. This role requires strong analytical skills, hands-on data manipulation experience, and the ability to work with complex datasets across multiple sources. Key Responsibilities Support Data Quality (DQ) initiatives within the Credit domain. Analyze, understand, and assess large and complex datasets to identify data quality issues and opportunities for improvement. Perform data extraction, transformation, joining, and manipulation activities to support business and regulatory requirements. Contribute to the DRR decommissioning process, ensuring data integrity and continuity throughout the transition. Collaborate with business stakeholders, data engineers, and technology teams to define and implement data solutions. Conduct data validation, reconciliation, and root cause analysis activities. Document data flows, data quality controls, and analytical findings. Required Skills & Experience Strong experience in Data Quality and data analysis roles. Proven ability to understand, join, transform, and manipulate datasets from multiple sources. Advanced SQL and data querying skills. Hands-on experience with Python, particularly using Jupyter Notebooks for data analysis and exploration. Strong analytical and problem-solving capabilities. Experience working within financial services, banking, or credit-related domains is highly desirable. Ability to communicate technical findings effectively to both technical and non-technical stakeholders. Preferred Skills Experience with Prophecy would be advantageous. Exposure to data migration, application decommissioning, or system retirement projects. Knowledge of data governance and data quality frameworks. Candidate Profile Strong Data Quality practitioner with a data-focused mindset. Comfortable working independently and managing complex analytical tasks. Detail-oriented with a strong focus on data accuracy and integrity. Proactive, collaborative, and adaptable in a changing project environment. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: HR Interview Hiring Manager Technical Interview Client Interview Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-Hybrid", "summaryDescription" : "Data Quality Data Analyst at Capco. Skills: Data Quality, Data analysis, SQL. Support Data Quality initiatives. Analyze datasets", "postedDate" : "2026-06-14T20:08:06.986", "createdAt" : "2026-06-14T20:08:06.986", "lastUpdated" : "2026-06-16T00:55:31.423", "ingestTimestamp" : "2026-06-14T20:08:06.986", "mongoId" : "6a2c6af374d8ee00a090f628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation", "SQL", "Root cause analysis", "Financial services", "Banking", "Credit", "Credit domain", "Jupyter Notebooks" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 505.62515, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a204f292fd229c1183ef", "title" : "Senior Product Quality Manager", "company" : "Ōura", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Quality Manager in San Francisco, adjusted for the technology industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-16T12:45:44.614", "fingerprint" : "cdf47391c9a45a50ad50d86fd32dcd6e9e5beebd79d34c6d194ad820b3944b43", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4279727009", "externalId" : "4279727009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Senior Product Quality Manager to join our Supply Chain team in San Francisco, California. In this role, you are located at the crossroads of Oura Manufacturing, R&D, and Supply Chain. You will work alongside our design teams and process engineers, facilitating the development and eventual ramp of NPI programs, supporting the mission critical goal of developing high quality components and assemblies which are both manufacturable and scalable. You will champion the user experience by ensuring every ring shipped meets our rigorous standards for health accuracy and jewelry-like craftsmanship. Job requirements include setting up quality systems at contract manufacturers (CMs) to ensure good data is collected and analyzed for program critical decision making as well as creating long term strategies to help continuously improve the Oura Supply Chain. You will plan, develop and implement measurement methods, control plans, and other quality processes to help ensure the part and product quality - all the way from concept phase through high volume mass production in a complex, global scale supply chain. You will be a liaison between the CMs and designers, championing a culture of quality on behalf of Oura and our customers. You'll collaborate closely with our operations team and program managers to plan and execute each NPI build, while also shaping and refining both the process and the product. A strong background in manufacturing processes and design for manufacturing (DFM) is essential for success in this role. This is a US Hybrid role based in the San Francisco Bay Area, with an in-office requirement of three days per week. What you will do: Support New Product Introduction (NPI) through FATP development builds, ramp-up, mass production, and steady state expansion efforts Serve as the bridge between Design, Engineering, and Operations, translating complex technical risks into actionable business decisions to drive Oura’s quality initiatives Analyze build failure data to identify design and process marginalities, ensuring that yield loss is understood from a quality risk perspective, not just a volume perspective Lead build readiness reviews, focusing on quality deliverables such as equipment readiness, process qualification, and post-build quality data analysis to understand system level interactions and assembly tolerance stackups that drive design and process improvements Establish and enforce the standard for “premium” quality by defining cosmetic specifications, managing golden/limit samples, and aligning design, engineering, and factory teams on subjective criteria (fit, finish, and feel) early in the NPI process. Identify and effectively communicate design and process risks, using data-driven approaches to facilitate discussions and improvements across Oura teams and suppliers Analyze and evaluate data to establish appropriate sub-assembly / system level spec limits including cosmetic, dimensional, functional/reliability as well as establish process controls limits Validate that CM processes produce units that meet cosmetic, reliability, and functional design intent. You are a technical leader who refuses to compromise on the user experience. You understand that “shippable” isn't just about passing a functional test, but about meeting the high aesthetic and reliability standards our customers expect. We would love to have you on our team if you have: 7+ years of experience working in a Product Quality, Supplier Manufacturing, Manufacturing Quality Engineer, or Process Engineer role. Ideally seeking someone with strong mechanical process development and design understanding Experience in System Integration environments (FATP), bringing together mechanical enclosures, soft goods, and electronics into a final finished product. Experience with quality engineering in high volume hand held / wearable and/or consumer products manufacturing with high cosmetic standards Experience qualifying and auditing manufacturing processes including PSA/HAF attach, epoxy dispense/molding/curing, and solder/hotbar/laser weld Experience developing robust IQC / IPQC / OQC controls, including AOI / cosmetics, sampling plans, SOP/MSOP, user-based product testing, OBA, and dimensional control Understanding of quality principles and tools such as GRR, SPC, FA/CA, 8D, FMEA, and DOEs. Understanding of manufacturing principles and tools such as DFM, GD&T, and Six Sigma methodologies for variability reduction Self-driven and eager problem solver who thrives in demanding quick-paced environments Highly organized with the ability to clearly and succinctly communicate complex concepts through presentations and written communication, such as slide decks and email Able to set up systems to capture reliable and meaningful data to help drive critical process improvements and enhance product/component design Willingness to travel to domestically and internationally up to 40% Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. San Francisco Salary Range $172,550-$203,000 Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Senior Product Quality Manager at Ōura", "postedDate" : "2026-06-16T03:16:03.445", "createdAt" : "2026-06-16T03:16:03.445", "lastUpdated" : "2026-06-16T12:45:44.614", "ingestTimestamp" : "2026-06-16T03:16:03.445", "mongoId" : "6a30a204f292fd229c1183ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 505.2533, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308086f292fd229c066ad1", "title" : "Senior Product Quality Manager", "company" : "Ōura", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Quality Manager in San Francisco, adjusted for the technology industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-16T11:09:16.761", "fingerprint" : "0904be36498c84cc2c800c321f325f97ec67ed4412dfd2e06d0179c2f1404f6a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4279727009", "externalId" : "4279727009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Senior Product Quality Manager to join our Supply Chain team in San Francisco, California. In this role, you are located at the crossroads of Oura Manufacturing, R&D, and Supply Chain. You will work alongside our design teams and process engineers, facilitating the development and eventual ramp of NPI programs, supporting the mission critical goal of developing high quality components and assemblies which are both manufacturable and scalable. You will champion the user experience by ensuring every ring shipped meets our rigorous standards for health accuracy and jewelry-like craftsmanship. Job requirements include setting up quality systems at contract manufacturers (CMs) to ensure good data is collected and analyzed for program critical decision making as well as creating long term strategies to help continuously improve the Oura Supply Chain. You will plan, develop and implement measurement methods, control plans, and other quality processes to help ensure the part and product quality - all the way from concept phase through high volume mass production in a complex, global scale supply chain. You will be a liaison between the CMs and designers, championing a culture of quality on behalf of Oura and our customers. You'll collaborate closely with our operations team and program managers to plan and execute each NPI build, while also shaping and refining both the process and the product. A strong background in manufacturing processes and design for manufacturing (DFM) is essential for success in this role. This is a US Hybrid role based in the San Francisco Bay Area, with an in-office requirement of three days per week. What you will do: Support New Product Introduction (NPI) through FATP development builds, ramp-up, mass production, and steady state expansion efforts Serve as the bridge between Design, Engineering, and Operations, translating complex technical risks into actionable business decisions to drive Oura’s quality initiatives Analyze build failure data to identify design and process marginalities, ensuring that yield loss is understood from a quality risk perspective, not just a volume perspective Lead build readiness reviews, focusing on quality deliverables such as equipment readiness, process qualification, and post-build quality data analysis to understand system level interactions and assembly tolerance stackups that drive design and process improvements Establish and enforce the standard for “premium” quality by defining cosmetic specifications, managing golden/limit samples, and aligning design, engineering, and factory teams on subjective criteria (fit, finish, and feel) early in the NPI process. Identify and effectively communicate design and process risks, using data-driven approaches to facilitate discussions and improvements across Oura teams and suppliers Analyze and evaluate data to establish appropriate sub-assembly / system level spec limits including cosmetic, dimensional, functional/reliability as well as establish process controls limits Validate that CM processes produce units that meet cosmetic, reliability, and functional design intent. You are a technical leader who refuses to compromise on the user experience. You understand that “shippable” isn't just about passing a functional test, but about meeting the high aesthetic and reliability standards our customers expect. We would love to have you on our team if you have: 7+ years of experience working in a Product Quality, Supplier Manufacturing, Manufacturing Quality Engineer, or Process Engineer role. Ideally seeking someone with strong mechanical process development and design understanding Experience in System Integration environments (FATP), bringing together mechanical enclosures, soft goods, and electronics into a final finished product. Experience with quality engineering in high volume hand held / wearable and/or consumer products manufacturing with high cosmetic standards Experience qualifying and auditing manufacturing processes including PSA/HAF attach, epoxy dispense/molding/curing, and solder/hotbar/laser weld Experience developing robust IQC / IPQC / OQC controls, including AOI / cosmetics, sampling plans, SOP/MSOP, user-based product testing, OBA, and dimensional control Understanding of quality principles and tools such as GRR, SPC, FA/CA, 8D, FMEA, and DOEs. Understanding of manufacturing principles and tools such as DFM, GD&T, and Six Sigma methodologies for variability reduction Self-driven and eager problem solver who thrives in demanding quick-paced environments Highly organized with the ability to clearly and succinctly communicate complex concepts through presentations and written communication, such as slide decks and email Able to set up systems to capture reliable and meaningful data to help drive critical process improvements and enhance product/component design Willingness to travel to domestically and internationally up to 40% Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. San Francisco Salary Range $172,550-$203,000 Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Senior Product Quality Manager at Ōura", "postedDate" : "2026-06-16T01:21:01.798", "createdAt" : "2026-06-16T01:21:01.798", "lastUpdated" : "2026-06-16T11:09:16.761", "ingestTimestamp" : "2026-06-16T01:21:01.798", "mongoId" : "6a308086f292fd229c066ad1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 500.3187, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307ecdf292fd229c0528ca", "title" : "Data Product Manager", "company" : "Chainalysis", "industry" : "Corporate Functions", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Product Manager in the Technology industry in Canada, adjusted for remote work and company size." }, "location" : "Ontario", "locations" : [ "Ontario" ], "timestamp" : "2026-06-16T10:45:00.669", "fingerprint" : "58e233bcf18706acbae2c92e471a596308ff4239b251e62d76bc87670271a132", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/chainalysis-careers/dfe62aae-2b72-4593-8a59-fafc1e03785a/application", "externalId" : "dfe62aae-2b72-4593-8a59-fafc1e03785a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AWS Redshift, Databricks, Databricks Genie, Git, Github Enterprise, Dbt, Tableau, DataGrip", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Data modeling", "Stakeholder management", "Problem analysis" ], "hardSkillsList" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Analytics workflows", "level" : "intermediate" }, { "name" : "Business metrics", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Data Product Management, Data Strategy, Analytics, Product Thinking", "majorSkillsList" : [ "Data Product Management", "Data Strategy", "Analytics", "Product Thinking" ], "coreResponsibilities" : "Own design of data products, Own discovery of data products, Own operationalization of data products, Translate business needs into data assets, Ensure data product quality, Ensure data product usability, Ensure data product adoption, Partner with Data Engineering, Partner with Data Operations, Partner with business stakeholders, Define data models, Standardize metrics, Maintain documentation, Translate business problems into use cases, Translate business problems into data solutions, Define metric definitions, Standardize semantic layers, Establish business logic, Establish calculation rules, Establish hierarchies, Design scalable datasets, Build scalable datasets, Optimize scalable datasets, Consolidate data, Refresh data, Make data accessible, Manage operational lifecycle, Manage updates, Manage issue resolution, Manage performance tracking, Drive adoption of datasets, Create documentation, Create examples, Create enablement materials", "teamCollaboration" : "Cross-functional teams; Data Engineering; Data Operations; Business stakeholders", "projectManagementSkills" : [ "Agile environments" ], "domainKnowledge" : "Enterprise SaaS; Go-To-Market processes; Quote-to-Cash processes; Data governance; Business metrics; ARR; Churn; NRR; LTV:CAC", "domainList" : [ "enterprise-saas", "go-to-market-processes", "quote-to-cash-processes", "data-governance", "business-metrics", "arr", "churn", "nrr", "ltv-cac" ], "domainSpecificKnowledge" : [ "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "Business metrics", "ARR", "Churn", "NRR", "LTV:CAC" ], "toolProficiency" : [ "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Documentation creation; Documentation maintenance", "problemSolvingSkills" : "Analytical; Problem-solving; Data-driven mindset", "qualificationsBasic" : "Experience as Data Product Manager, Experience as Data Strategist, Experience in product-oriented, data-focused environment, Understanding of data ecosystems, Understanding of data warehousing, Understanding of data modeling, Understanding of analytics workflows, Experience with cross-functional teams, Experience with Data Engineering, Experience with business stakeholders, Experience translating business problems, Experience creating documentation, Experience maintaining documentation, Analytical skills, Problem-solving skills, Experience driving product adoption, Experience measuring impact", "qualificationsPreferred" : "Experience in enterprise SaaS environments, Knowledge of Go-To-Market processes, Knowledge of Quote-to-Cash processes, Familiarity with Databricks, Familiarity with Snowflake, Familiarity with dbt, Familiarity with Tableau, Familiarity with Looker, Experience with AI-powered analytics tools, Exposure to data governance, Exposure to data catalog tools, Technical background in SQL, Technical background in analytics engineering, Familiarity with Salesforce, Familiarity with NetSuite, Familiarity with GTM systems, Familiarity with Finance systems, Experience in Agile environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Title: Data Product Manager Location: Canada (Remote, East Coast) The Enterprise Data and Analytics (ED&A) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with internal stakeholders in GTM, Operations and Finance. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work. We are looking for a Data Product Manager to support the Data Products team by owning the design, discovery, and operationalization of data products. This role will be responsible for translating business needs into scalable, well-defined data assets and ensuring their ongoing quality, usability, and adoption. The ideal candidate will partner closely with Data Engineering, Data Operations, and business stakeholders to define data models, standardize metrics, and maintain high-quality documentation, ensuring enterprise data products are reliable, consistent, and usable. They will bring experience at the intersection of data, analytics, and product thinking, and are comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor. In this role, you’ll: - Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions - Define and standardize metric definitions and semantic layers by establishing clear business logic, calculation rules, and hierarchies to ensure consistency, accuracy, and alignment across reporting - Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders - Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking - Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials We’re looking for candidates who have: - Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment - Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows - Experience working with cross-functional teams including Data Engineering and business stakeholders - Experience translating complex business problems into clear product requirements and scalable data solutions - Strong understanding business metrics (eg: ARR, Churn, NRR, LTV:CAC) and how they are used in decision making - Experience creating and maintaining documentation in tools like Confluence - Excellent stakeholder management and communication skills - Strong analytical and problem-solving skills with a data-driven mindset - Experience driving product adoption and measuring impact Nice to have experience: - Experience in enterprise SaaS environments with knowledge of Go-To-Market and Quote-to-Cash processes - Familiarity with tools such as Databricks, Snowflake, dbt, Tableau or Looker - Experience working with AI-powered analytics tools (e.g., Databricks Genie or similar) - Exposure to data governance, or data catalog tools - Technical background in SQL or analytics engineering - Familiarity with Salesforce, NetSuite, or other GTM/Finance systems - Experience working in Agile environments using tools like Jira Systems/Tools we use: - Marketo - Salesforce - NetSuite - Adaptive Insights - Pendo - Fivetran - Dagster - AWS Redshift - Databricks & Databricks Genie - Git / Github Enterprise - SQL - dbt - Python - Tableau - DataGrip - Jira - Confluence About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you. ", "summaryDescription" : "Data Product Manager at Chainalysis. Skills: Data Product Management, Data Strategy, Analytics, Product Thinking. Own design of data products. Own discovery of data products", "createdAt" : "2026-06-16T01:59:53.009", "lastUpdated" : "2026-06-16T10:45:00.669", "ingestTimestamp" : "2026-06-16T01:59:53.009", "mongoId" : "6a307ecdf292fd229c0528ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data modeling", "Analytics workflows", "Business metrics", "SQL optimization", "Communication skills", "Data Product Management", "Data Strategy", "Analytics", "Product Thinking", "Product strategy", "Roadmap development", "User story creation", "Metric definition", "Semantic layer establishment", "Business logic", "Stakeholder management", "Problem analysis", "Agile environments", "Enterprise SaaS", "Go-To-Market processes", "Quote-to-Cash processes", "Data governance", "ARR", "Churn", "NRR", "LTV:CAC", "Confluence", "Databricks", "Snowflake", "Dbt", "Tableau", "Looker", "Salesforce", "NetSuite", "Jira" ], "skillCount" : 36, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 500.07846, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30655af292fd229cfa72d3", "title" : "Robotics Data Quality Engineer", "company" : "xdof", "industry" : "Robotics", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Robotics Data Quality Engineer in San Mateo, United States, adjusted for the technology industry and company size." }, "location" : "San Mateo Hybrid", "locations" : [ "San Mateo Hybrid" ], "timestamp" : "2026-06-16T12:38:38.818", "fingerprint" : "71689cf59637a0353ba554dfc62238b9f3574f3a5077e7b3c41472a315f0d917", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xdof/73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d/application", "externalId" : "73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Numpy, Pandas, Matplotlib, Plotly, Protobuf, HDF5, ROS bags", "professionalSkills" : [ "Data validation", "Data visualization", "Schema design", "Data formats", "Root cause analysis" ], "hardSkillsList" : [ "Spatial transformations", "Time-series analysis", "Signal processing" ], "hardSkills" : [ { "name" : "Spatial transformations", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "Data quality, Robotics data, Data validation, Data pipelines", "majorSkillsList" : [ "Data quality", "Robotics data", "Data validation", "Data pipelines" ], "coreResponsibilities" : "Analyze robotics data, Identify quality issues, Plot joint velocities, Validate camera poses, Check gripper encoder accuracy, Flag anomalous collection sessions, Build automated validation pipelines, Design data formats, Document data formats, Design schemas, Document schemas, Ensure consistency, Ensure versioning, Build data visualization tools, Build dashboards, Validate cross-modal temporal alignment, Synchronize timestamps, Detect dropped frames, Detect clock drift, Define quality metrics, Define quality thresholds, Track data quality improvement, Track data quality degradation, Catalog edge cases, Catalog failure modes, Trace quality issues, Identify root cause", "teamCollaboration" : "Work with partners; Work with internal researchers; Work with data collection operators", "domainKnowledge" : "Robotics; 3D geometry; Coordinate frames; Spatial transformations; Physical systems; Teleoperation systems; Motion capture; Egocentric data collection; Signal processing; Sensor fusion; Time-series analysis; Data versioning; Schema migration; 0->1 environments", "domainList" : [ "robotics", "3d-geometry", "coordinate-frames", "spatial-transformations", "physical-systems", "teleoperation-systems", "motion-capture", "egocentric-data-collection", "signal-processing", "sensor-fusion", "time-series-analysis", "data-versioning", "schema-migration", "0-1-environments" ], "domainSpecificKnowledge" : [ "Robotics", "3D geometry", "Coordinate frames", "Spatial transformations", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Signal processing", "Sensor fusion", "Time-series analysis", "Data versioning", "Schema migration", "0->1 environments" ], "documentationSkills" : "Document data formats; Document schemas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's or Master's degree, Python data skills, Comfort working with large datasets, Solid understanding of 3D geometry, Solid understanding of coordinate frames, Solid understanding of spatial transformations, Intuition for physical systems", "qualificationsPreferred" : "Hands-on experience with robotics data, Experience with teleoperation systems, Experience with motion capture, Experience with egocentric data collection, Experience with signal processing, Experience with sensor fusion, Experience with time-series analysis, Built internal data visualization tools, Worked on data versioning, Worked on data lineage tracking, Worked on schema migration, Comfortable working in 0->1 environments, Mission-driven, Passionate about robotics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At xdof, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward. The models are only as good as the data. We’re looking for a Robotics Data Quality Engineer to be the person who knows whether our data is trustworthy, across every modality we collect. You’ll analyze, validate, and build tooling around data from teleoperation on real hardware, egocentric capture, UMI-style grippers, and more. If something is wrong with the data, you’re the first to catch it and the one who helps us fix the process. What You’ll Do Data quality engineers are the bridge between raw collection and usable training data. Sample projects include: - analyzing robotics data across modalities to identify quality issues: plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions - building automated validation pipelines that run on ingestion and catch problems before data enters the warehouse - designing and documenting data formats and schemas across collection modalities, ensuring they are consistent, versioned, and well-understood by partners and internal researchers - building data visualization tools and dashboards so the broader team can inspect and understand the data without writing custom scripts - validating cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams - defining quality metrics and thresholds per modality and tracking whether data quality is improving or degrading as collection scales - cataloging edge cases and failure modes into a shared taxonomy so the team has a common language for data issues - working closely with data collection operators to trace quality issues back to their root cause, whether systemic (hardware calibration, sensor drift) or operator-specific About You Baseline skills: - bachelor’s or master’s degree (or equivalent experience) in robotics, computer science, mechanical engineering, or a related field - strong Python data skills (numpy, pandas, matplotlib or plotly) and comfort working with large, messy datasets - solid understanding of 3D geometry, coordinate frames, and spatial transformations - intuition for physical systems: you can look at a trajectory or a joint velocity plot and tell when something is off - experience designing or working with structured data formats (protobuf, HDF5, ROS bags, or similar) You might be a good fit if you: - have hands-on experience with robotics data, whether from a research lab, a robotics startup, or a manipulation/locomotion project - have worked with teleoperation systems, motion capture, or egocentric data collection - have experience with signal processing, sensor fusion, or time-series analysis - have built internal data visualization tools or dashboards for technical teams - have worked on data versioning, lineage tracking, or schema migration in a production setting - are very comfortable working in 0→1 environments - are mission-driven and passionate about robotics: work at xdof is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!", "summaryDescription" : "Robotics Data Quality Engineer at xdof. Skills: Data quality, Robotics data, Data validation, Data pipelines. Analyze robotics data. Identify quality issues", "createdAt" : "2026-06-16T00:28:18.617", "lastUpdated" : "2026-06-16T12:38:38.818", "ingestTimestamp" : "2026-06-16T00:28:18.617", "mongoId" : "6a30655af292fd229cfa72d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Spatial transformations", "Time-series analysis", "Signal processing", "Data quality", "Robotics data", "Data validation", "Data pipelines", "Data visualization", "Schema design", "Data formats", "Root cause analysis", "Robotics", "3D geometry", "Coordinate frames", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Sensor fusion", "Data versioning", "Schema migration", "0->1 environments" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 495.53766, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055b0f292fd229cf20a39", "title" : "Accuracy Checking Pharmacy Technician (Part-time)", "company" : "Montu UK", "industry" : "Montu", "salary" : { "min" : 40000.0, "max" : 42000.0, "currency" : "GBP", "frequency" : "Yearly" }, "location" : "Winnersh", "locations" : [ "Winnersh" ], "certifications" : [ "Level 3 NVQ in Pharmacy Services (ACT)", "Pharmacy Technician with the GPhC" ], "timestamp" : "2026-06-16T09:07:16.407", "fingerprint" : "5546790d65ee2e579b2ce51e79dc761f07430b16e24971c4cc1cd97c32c0f2eb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/montu-uk/0343e693-fc64-4485-836c-e1d3b5279513/application", "externalId" : "0343e693-fc64-4485-836c-e1d3b5279513", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Winnersh", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4308820,-0.8778641" } ], "locationText" : "Winnersh, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification", "professionalSkills" : [ "Accuracy checking", "Dispensing process", "Record maintenance", "Professional development", "Regulatory changes" ], "hardSkillsList" : [ "Pharmacy regulations", "Pharmacy policies", "Pharmacy SOPs" ], "hardSkills" : [ { "name" : "Pharmacy regulations", "level" : "intermediate" }, { "name" : "Pharmacy policies", "level" : "intermediate" }, { "name" : "Pharmacy SOPs", "level" : "intermediate" } ], "majorSkills" : "Accuracy checking, Pharmacy operations, Patient outcomes", "majorSkillsList" : [ "Accuracy checking", "Pharmacy operations", "Patient outcomes" ], "coreResponsibilities" : "Carry out accuracy checks on dispensed medicines, Ensure compliance with legal, operational and safety standards, Take ownership of the end-to-end dispensing process, Maintain clear, accurate prescription records, Escalate discrepancies without hesitation, Mentor junior colleagues, Help build a team culture rooted in accountability,, Stay sharp on professional development, Stay sharp on best practice, Stay sharp on regulatory changes, Work with pace and purpose, the wider pharmacy team", "teamCollaboration" : "Wider pharmacy team", "domainKnowledge" : "Cannabis-based medicines; Pharmacy regulations; Pharmacy policies; Pharmacy SOPs", "domainList" : [ "cannabis-based-medicines", "pharmacy-regulations", "pharmacy-policies", "pharmacy-sops" ], "domainSpecificKnowledge" : [ "Cannabis-based medicines", "Pharmacy regulations", "Pharmacy policies", "Pharmacy SOPs" ], "communicationSkills" : "Communicate directly", "documentationSkills" : "Maintain prescription records", "continuousLearning" : "Professional development; Best practice; Regulatory changes", "problemSolvingSkills" : "Spot problems", "outcomesObjectives" : "Ensure every medicine is right; Get it right the first time", "qualificationsBasic" : "Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification, Current registration as a Pharmacy Technician with the GPhC, Solid, proven experience in a pharmacy setting, Track record in accuracy checking, Deep working knowledge of pharmacy regulations, policies and SOPs, Attention to detail, Communicates directly, Takes accountability for actions, Does not wait to be told what to do, Proven commitment to patient outcomes", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Accuracy Checking Pharmacy Technician (Part-time, 16 & 24 hr/week contracts) We are not looking for someone who clocks in, does the minimum, and clocks out. We are looking for a pharmacy technician who is genuinely driven, someone who takes ownership, holds themselves to a high standard, and cares deeply about what happens to patients at the end of that prescription. If that sounds like you, read on. What is the job? You will be a central, trusted part of our pharmacy operation at our Winnersh site — the person the team relies on to make sure every medicine that leaves our pharmacy is right. That means accuracy checking dispensed medicines, keeping standards high, and actively contributing to a culture where getting it right the first time is non-negotiable. You will not be managed through every task. You will be trusted to lead, to spot problems before they become incidents, and to raise the bar for everyone around you. What will you be doing? - Carrying out accuracy checks on dispensed medicines, ensuring full compliance with legal, operational and safety standards - Taking ownership of the end-to-end dispensing process — not just your part of it - Maintaining clear, accurate prescription records and escalating discrepancies without hesitation - Actively mentoring junior colleagues and helping to build a team culture rooted in accountability, safety and quality - Staying sharp on professional development, best practice and regulatory changes — because you want to, not because you have to - Working with pace and purpose alongside the wider pharmacy team to ensure every patient gets exactly what they need, when they need it What do you need? - Level 3 NVQ in Pharmacy Services (ACT) or equivalent ACT qualification - Current registration as a Pharmacy Technician with the GPhC — no exceptions - Solid, proven experience in a pharmacy setting with a strong track record in accuracy checking - Deep working knowledge of pharmacy regulations, policies and SOPs - The kind of attention to detail that you simply cannot switch off - Someone who communicates directly, takes accountability for their actions, and does not wait to be told what to do - A genuine, proven commitment to patient outcomes — not just patient care on paper, but real passion for what happens to the person at the end of the process What we offer: - Part-time hours: We offer 16 and 24 hours per week contract (8 hours per day) - Generous Leave: 25 days holiday (rising to 27 after year one and 30 after year three) + 8 bank holidays - Pension Matching: Up to 5% employer matching contributions - Private Healthcare - Flexibility and Wellness: Work-from-home options, cycle-to-work scheme, and more - Growth Opportunities: Collaborate across teams and represent Montu at events, with support to grow your skills and impact - Enhanced Maternity & Paternity Leave About Us Montu UK is a leading digital health company specialising in cannabis-based medicines (CBPM), dedicated to improving patient access to safe and effective treatments. Our mission is to transform lives by combining innovative technology with high-quality clinical care, ensuring patients receive the support they need at every step of their journey. As a fast-growing organisation, we offer a collaborative and supportive environment where talented people can develop their careers while contributing to meaningful change in healthcare. At Montu UK, your work has a direct impact on improving patients’ lives and expanding access to modern medical treatments.", "summaryDescription" : "Accuracy Checking Pharmacy Technician (Part-time) at Montu UK. Skills: Accuracy checking, Pharmacy operations, Patient outcomes. Carry out accuracy checks on dispensed medicines. Ensure compliance with legal, operational and safety standards", "createdAt" : "2026-06-16T00:23:58.927", "lastUpdated" : "2026-06-16T09:07:16.407", "ingestTimestamp" : "2026-06-16T00:23:58.927", "mongoId" : "6a3055b0f292fd229cf20a39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Pharmacy regulations", "Pharmacy policies", "Pharmacy SOPs", "Accuracy checking", "Pharmacy operations", "Patient outcomes", "Dispensing process", "Record maintenance", "Professional development", "Regulatory changes", "Cannabis-based medicines", "Level 3 NVQ in Pharmacy Services (ACT)", "Pharmacy Technician with the GPhC" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 482.63553, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306078f292fd229cf8e693", "title" : "Product Data Specialist", "company" : "LG Electronics", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Data Specialist in Alpharetta, United States, adjusted for the technology industry and company size." }, "location" : "Alpharetta, GA", "locations" : [ "Alpharetta", "GA" ], "timestamp" : "2026-06-16T06:22:32.751", "fingerprint" : "b64073ed4d0c895c18ccc7928b0f1daf8d1a72f77123a0b3c48be94b6f8482fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lgelectronics/jobs/5257778008", "externalId" : "5257778008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alpharetta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0755962,-84.2945964" } ], "locationText" : "Alpharetta, Georgia, United States", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, \"Jeong-do Management,\" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone. The Opportunity: Location will be in Alpharetta, GA Ensure consistency and accuracy of data across Product Information Management (PIM) and Digital Asset Management (DAM) systems. Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries. Manage and organize documents in the database, including submittals, owner manuals, engineering manuals, installation manuals, service manuals, and other relevant technical documents. Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. Maintain data quality by updating, correcting, or removing outdated or inaccurate content in the database. Monitor customer feedback and usage patterns to identify gaps or improvement areas in the database content. Collaborate with technical and support teams to validate document accuracy and relevance. Participate in periodic data quality audits and database optimization reviews. Document processes, changes, and best practices for ongoing database management and continuous improvement. Qualifications: Bachelor’s degree in a relevant field (e.g., Information Management, Engineering, Computer Science, or related discipline), or equivalent education and/or experience. Basic understanding of data management principles, including data accuracy, consistency, and organization. Familiarity with Product Information Management (PIM) or Digital Asset Management (DAM) systems (hands-on experience a plus, not required). Basic experience with databases or structured data, such as using Excel, Google Sheets, or simple database tools. Strong attention to detail and ability to follow detailed instructions. Effective written and verbal communication skills, with the ability to collaborate in a team environment. Proficiency in Microsoft Office (Word, PowerPoint, Excel, Outlook). Strong organizational skills and ability to manage multiple tasks in a fast-paced environment Recruiting Range $29—$29 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.", "summaryDescription" : "Product Data Specialist at LG Electronics", "postedDate" : "2026-06-15T23:25:25.892", "createdAt" : "2026-06-15T23:25:25.892", "lastUpdated" : "2026-06-16T06:22:32.751", "ingestTimestamp" : "2026-06-15T23:25:25.892", "mongoId" : "6a306078f292fd229cf8e693", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 466.4727, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca07874d8ee00a09a24fe", "title" : "Data Analyst, Product (Banking and Payments)", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "timestamp" : "2026-06-15T09:15:39.904", "fingerprint" : "a1c316db28b7762fa9d4723afbf2a0ddca938382d0dc51344a8e9f8ed3acfe02", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Float/097f849c-765d-4cac-acf7-898cfa66c20d/application", "externalId" : "097f849c-765d-4cac-acf7-898cfa66c20d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, Snowflake, AI, LLMs", "professionalSkills" : [ "Product analytics", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor" ], "hardSkillsList" : [ "Statistical analysis", "A/B testing", "Hypothesis testing", "Confidence intervals", "Significance testing" ], "softSkillsList" : [ "Learning velocity" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning velocity" } ], "majorSkills" : "Product analytics, Data quality, Experimentation", "majorSkillsList" : [ "Product analytics", "Data quality", "Experimentation" ], "coreResponsibilities" : "Define measurement needs, Support instrumentation, Translate roadmap decisions, Design measurement frameworks, Align on frameworks, Design experiments, Analyze experiments, Structure A/B tests, Select unit of randomization, Size experiments, Interpret results, Own metrics and dashboards, Keep metrics accurate, Own data quality, Audit dbt models, Write clear briefs, Flag data gaps, Run cohort analysis, Run retention analysis, Diagnose levers, Debug ambiguous numbers, Close the loop, Write expert SQL, Bring statistical rigor, Construct cohorts, Calculate retention, Use LLMs for SQL, Draft frameworks, Structure analysis", "teamCollaboration" : "Product teams; Engineering; Product Marketing; Head of Data", "projectManagementSkills" : [ "Roadmap decisions" ], "domainKnowledge" : "Banking infrastructure; Payments; Fintech; Attach rate; Payment rails; KYC; AP workflows; Pre-authorized payments; Balance/deposit metrics; Churn dynamics", "domainList" : [ "banking-infrastructure", "payments", "fintech", "attach-rate", "payment-rails", "kyc", "ap-workflows", "pre-authorized-payments", "balance-deposit-metrics", "churn-dynamics" ], "domainSpecificKnowledge" : [ "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics" ], "toolProficiency" : [ "Metabase", "Looker", "Tableau", "Sigma" ], "communicationSkills" : "Hold ground respectfully", "problemSolvingSkills" : "Debug ambiguous numbers", "qualificationsBasic" : "2-4+ years product analytics, SQL proficiency, Dbt-comfortable, Snowflake or comparable warehouse", "qualificationsPreferred" : "PhD preferred, Fintech familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float is building the financial operating system for Canadian businesses — corporate cards, business bank accounts, bill payments, all in one place. Reporting to the Head of Data, this role is embedded inside the product teams behind two of those core pillars: banking infrastructure and payments. Both are high-complexity, high-stakes areas that generate a dense mix of financial, behavioral, and operational data. This role owns that data layer. You're building cohorts before anyone asks, designing measurement frameworks before features go to engineering, and debugging numbers to the source — pipeline issue, definition mismatch, or real product signal. You're also someone who uses AI to move faster without losing rigour. Getting useful outputs from a model means knowing the business and data well enough to give it the right context — that's part of the job too. WHAT YOU'LL BE DOING - Define what needs to be measured before features ship and support the instrumentation to measure it. You translate roadmap decisions into measurement requirements. - Design and get broad alignment on measurement frameworks before features go to engineering — hypothesis, cohorts, success criteria. - Design and analyze experiments - structure A/B tests for product changes. Define the hypothesis, select the right unit of randomization, size the experiment for sufficient power and interpret results with statistical rigour - Own the metrics and dashboards for Banking and Payments. Every number is traceable to a reliable dbt model. You keep them accurate. - Own data quality in your product area — audit dbt models, write clear briefs for analytics engineering, flag gaps before they become problems. - Run cohort and retention analysis natively — activation sequences, behavioral funnels, leading vs. lagging indicators. Diagnose which lever moves the number, not just what happened. - Debug ambiguous numbers to the source — pipeline issue, definition mismatch, or real product signal. You close the loop. - Write expert SQL and bring statistical rigour — cohort construction, retention calculations, confidence intervals, significance testing. You know when you have enough signal to act. - Use AI as a multiplier — accelerate analysis, generate first-pass SQL, and pressure-test hypotheses faster than you could alone. You know how to give a model the business and data context that makes its outputs impactful. - Take your share of ad-hoc requests on rotation — owning your product area gives the broader data team meaningful breathing room. WHAT SUCCESS LOOKS LIKE - Get Embedded: Both team leads treat you as the owner of their data layer. KPI definitions are agreed upon, documented, and tied to reliable dbt models. Gaps are flagged with a fix in motion. - Build the Measurement Layer: Features ship with measurement frameworks designed upfront. Dashboards for the core banking and payments metrics are clean, trusted, and traceable. - Drive Product Evidence: Product decisions are shaped by your analysis before they are made. When a team lead is asked by leadership whether a feature is landing, they already know — because you’ve built the infrastructure that makes the question answerable. WHAT WE'RE LOOKING FOR - Product analytics depth — you've been embedded in a product team, own activation funnels and cohort retention natively, and know how to instrument a feature before it ships. - Experimentation and measurement design — you design A/B tests and quasi-experiments from the ground up: hypothesis, randomization unit, sample size and power calculations, guardrail metrics, and holdout design. You build pre/post and diff-in-diff analyses where randomization isn't feasible, and you know how to communicate the difference in confidence between the two - Data layer ownership — you're the DRI for data quality in your product area: auditing dbt models, writing briefs for analytics engineering, and debugging ambiguous numbers to the source. - Expert-level SQL — you build complex multi-step queries across large behavioral datasets, optimize for performance, and explain the logic to non-technical stakeholders. - Statistical reasoning — you understand distributions, confidence intervals, significance testing, and sample size constraints. You design for confounders, know when you have enough signal, and communicate uncertainty in plain language. - Data modeling literacy — you translate business logic into data requirements, specify the grain a table needs, and have informed opinions on how metrics get structured in dbt. - Comfort with imperfect data — you make a reasoned call, state your confidence level, and give stakeholders something actionable rather than waiting for clean infrastructure. - Stakeholder fluency — you work effectively across Product, Design, Engineering, and Product Marketing, and hold your ground respectfully when data contradicts what the team wants to believe. - AI as an accelerator — you've used LLMs to write SQL, draft frameworks, or structure analysis, and you know where they're reliable and where they need guardrails. - 2–4+ years in product analytics, ideally embedded in a product team at a high-growth fintech or SaaS company. - BI tool experience — Metabase, Looker, Tableau, Sigma, or similar. - dbt-comfortable (reading models, understanding lineage) with Snowflake or a comparable cloud warehouse. - Fintech familiarity — attach rate, payment rails, KYC, AP workflows, pre-authorized payments, balance/deposit metrics, churn dynamics — is a meaningful differentiator. OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Product (Banking and Payments) at Float. Skills: Product analytics, Data quality, Experimentation. Define measurement needs. Support instrumentation", "createdAt" : "2026-06-14T04:38:39.979", "lastUpdated" : "2026-06-15T09:15:39.904", "ingestTimestamp" : "2026-06-14T04:38:39.979", "mongoId" : "6a2ca07874d8ee00a09a24fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "A/B testing", "Hypothesis testing", "Confidence intervals", "Significance testing", "Learning velocity", "Product analytics", "Data quality", "Experimentation", "Measurement frameworks", "Experiment design", "Data quality audit", "Cohort analysis", "Retention analysis", "Statistical rigor", "Roadmap decisions", "Banking infrastructure", "Payments", "Fintech", "Attach rate", "Payment rails", "KYC", "AP workflows", "Pre-authorized payments", "Balance/deposit metrics", "Churn dynamics", "Metabase", "Looker", "Tableau", "Sigma" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 461.59082, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f2df292fd229c055eac", "title" : "Staff Data Scientist, Discover Personalization and Quality", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Data Scientist in Mountain View, CA, adjusted for the technology industry and a large company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:46:29.512", "fingerprint" : "1b753ce697dfd232a32fa54cf67500ba9977d28e7d9b8f4f918c6432c0ce4afb", "source" : "google", "language" : "en", "externalId" : "92402841288614598", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Data science, Personalization, Quality", "majorSkillsList" : [ "Machine learning", "Data science", "Personalization", "Quality" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement experiments, Analyze data to identify trends, Build and maintain data pipelines, Collaborate with engineering teams, Communicate findings to stakeholders, Mentor junior data scientists", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Stakeholders", "domainKnowledge" : "Personalization systems; Data quality frameworks; Recommendation engines; User behavior analysis", "domainList" : [ "personalization-systems", "data-quality-frameworks", "recommendation-engines", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis" ], "toolProficiency" : [ "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Technical presentations; Data storytelling", "documentationSkills" : "Technical documentation; Model documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve personalization algorithms; Enhance data quality; Drive product innovation", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "summaryDescription" : "Staff Data Scientist, Discover Personalization and Quality. Skills: Machine learning, Data science, Personalization, Quality. Develop and deploy machine learning models. Design and implement experiments", "postedDate" : "2026-06-16T01:48:49.459", "createdAt" : "2026-06-16T01:48:49.459", "lastUpdated" : "2026-06-16T10:46:29.512", "ingestTimestamp" : "2026-06-16T01:48:49.459", "mongoId" : "6a307f2df292fd229c055eac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference", "Personalization", "Quality", "Data modeling", "Statistical analysis", "Experiment design", "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "_score" : 460.4542, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f60f292fd229cfe83b2", "title" : "Director of Quality", "company" : "Gather AI", "industry" : "Logistics", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Quality in Pittsburgh, adjusted for logistics industry and company size." }, "location" : "Pittsburgh, Pennsylvania, United States", "locations" : [ "Pittsburgh", "Pennsylvania", "United States" ], "timestamp" : "2026-06-16T13:26:07.603", "fingerprint" : "2b4e858d552e4aaeccd207d22c6eeb927c8028e1430b970cbf99ce37ed7ea10f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gatherai/jobs/5160301007", "externalId" : "5160301007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Director", "technicalSkills" : "Python, CI/CD, Pytest, Docker, AWS, GCP, Robotics simulation, ML model evaluation", "professionalSkills" : [ "System design", "Release management" ], "hardSkillsList" : [ "Test automation", "Model evaluation", "Data pipeline validation", "Hardware-in-the-loop", "Robotics simulation", "ML model evaluation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Data pipeline validation", "level" : "intermediate" }, { "name" : "Hardware-in-the-loop", "level" : "intermediate" }, { "name" : "Robotics simulation", "level" : "intermediate" }, { "name" : "ML model evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Quality Assurance, AI/ML, Robotics, Cloud Platform", "majorSkillsList" : [ "Quality Assurance", "AI/ML", "Robotics", "Cloud Platform" ], "coreResponsibilities" : "Own and evolve QA strategy across drone hardware,, Establish release qualification gates for full stack, Build automated test infrastructure, Build CI/CD test gates, Build API and UI regression tests, Build data pipeline validation, Build hardware-in-the-loop infrastructure, Build simulation for physical systems, Stand up AI-assisted QA pipeline, Implement LLM-driven test generation, Implement automated failure triage, Implement model output grading, Implement AI-driven exploratory testing, Lead, mentor, and level up distributed QA team, Develop QA Manager, Grow team with automation engineers, Grow team with high-judgment manual testers, Establish ML/perception model evaluation methodology, Establish release qualification criteria for models, Partner cross-functionally with engineering, Partner cross-functionally with autonomy, Partner cross-functionally with cloud, Partner cross-functionally with field ops, Align QA with deployment realities, Align QA with customer-reported quality issues", "teamCollaboration" : "Distributed US and India team; Cross-functional with engineering; Cross-functional with autonomy; Cross-functional with cloud; Cross-functional with field ops", "projectManagementSkills" : [ "Release qualification gates" ], "domainKnowledge" : "Warehouse intelligence; Robotics; Supply chain; Computer vision; ML models; Cloud platform; Embedded systems; SaaS platform", "domainList" : [ "warehouse-intelligence", "robotics", "supply-chain", "computer-vision", "ml-models", "cloud-platform", "embedded-systems", "saas-platform" ], "domainSpecificKnowledge" : [ "Warehouse intelligence", "Robotics", "Supply chain", "Computer vision", "ML models", "Cloud platform", "Embedded systems", "SaaS platform" ], "toolProficiency" : [ "GitHub Actions", "Jenkins", "Docker", "AWS", "GCP", "Gazebo", "Isaac Sim" ], "innovationCreativity" : "AI-assisted QA pipeline", "problemSolvingSkills" : "Automated failure triage; Root cause analysis", "qualificationsBasic" : "10+ years in QA, 5+ years leading QA teams, Demonstrated breadth across at least two of: hardware/embedded systems QA, ML/computer vision model evaluation, cloud/fullstack/SaaS platform QA, Proven track record of replacing manual test cycles with automation, instrumentation, or AI grading, Experience managing geographically distributed team (US + India or equivalent), Hands-on technical depth: Python, Hands-on technical depth: CI/CD, Hands-on technical depth: pytest, Hands-on technical depth: Docker, Hands-on technical depth: AWS or GCP, Familiarity with at least one of hardware-in-the-loop, robotics simulation, or ML model evaluation harnesses, Pittsburgh-based or willing to relocate", "qualificationsPreferred" : "Hardware QA or field reliability experience with sensors, cameras, embedded devices, drones, or robotics, Experience with simulation-based testing for robotics or perception systems, Background in warehouse, logistics, or industrial deployment environments, Experience building or operating QA for multi-tenant SaaS platform at scale", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Quality at Gather AI spans three genuinely distinct surfaces: drones flying in warehouses, camera-based MHE Vision systems installed on forklifts and at dock doors, and a customer-facing cloud platform that ingests it all and turns it into inventory intelligence. Our QA team — currently anchored by a QA Manager and engineering team primarily based in India — has been doing strong work. But as our product lines scale and our engineering org accelerates with AI tooling, we need a Director who can raise the entire function to match. About the Role Most QA Director roles hand you a legacy function and ask you to keep the lights on. This one hands you a genuine mandate: build the QA strategy for an AI-first robotics company from the ground up — across hardware, ML models, and cloud software simultaneously. As our Director of Quality Assurance, you will own the full QA surface: automated test infrastructure for drone flight and docking systems, perception model regression and evaluation, and cloud/API/UI regression for the customer platform. You’ll lead a distributed US and India team, establish release qualification gates that span hardware-to-cloud, and build an AI-assisted QA pipeline that scales throughput as the engineering org’s velocity grows. This is a role with executive visibility, real authority, and the rare opportunity to define what “quality” means at a company where the product is this technically diverse. What You’ll Do Own and evolve QA strategy across all three product surfaces — drone hardware and flight systems, MHE Vision perception, and the cloud/fullstack customer platform — including release qualification gates that span the full stack Build automated test infrastructure from a low baseline: CI/CD test gates, API and UI regression, data pipeline validation, hardware-in-the-loop, and simulation for physical systems Stand up an AI-assisted QA pipeline — LLM-driven test generation, automated failure triage, model output grading, and AI-driven exploratory testing — to scale QA throughput alongside an AI-accelerated engineering org Lead, mentor, and level up the distributed QA team across the US and India, including directly developing the existing QA Manager and growing the team with a deliberate mix of automation engineers and high-judgment manual testers Establish ML/perception model evaluation methodology and release qualification criteria, working directly with ML and autonomy leads to qualify model upgrades for production Partner cross-functionally with engineering, autonomy, cloud, and field ops to align QA with deployment realities and customer-reported quality issues What You’ll Need 10+ years in QA or test engineering with production systems at scale, including 5+ years leading QA, SDET, or test engineering teams Demonstrated breadth across at least two of: hardware/embedded systems QA, ML/computer vision model evaluation, and cloud/fullstack/SaaS platform QA — single-domain specialists will not have the range this role requires Proven track record of replacing manual test cycles with automation, instrumentation, or AI grading — and a clear philosophy for where manual QA remains irreplaceable Experience managing a geographically distributed team (US + India or equivalent), with the mentorship instincts and cultural fluency that requires Hands-on technical depth: Python, CI/CD (GitHub Actions, Jenkins, or equivalent), pytest or equivalent test frameworks, Docker, AWS or GCP, and familiarity with at least one of hardware-in-the-loop, robotics simulation, or ML model evaluation harnesses Pittsburgh-based or genuinely willing to relocate — this is an on-site/hybrid role and is not eligible for full remote Nice to Have Hardware QA or field reliability experience with sensors, cameras, embedded devices, drones, or robotics Experience with simulation-based testing (Gazebo, Isaac Sim, or in-house sim) for robotics or perception systems Background in warehouse, logistics, or industrial deployment environments Experience building or operating QA for a multi-tenant SaaS platform at scale", "summaryDescription" : "Director of Quality at Gather AI. Skills: Quality Assurance, AI/ML, Robotics, Cloud Platform. Own and evolve QA strategy across drone hardware,. Establish release qualification gates for full stack", "postedDate" : "2026-06-16T01:15:26.096", "createdAt" : "2026-06-16T01:15:26.096", "lastUpdated" : "2026-06-16T13:26:07.603", "ingestTimestamp" : "2026-06-16T01:15:26.096", "mongoId" : "6a306f60f292fd229cfe83b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Test automation", "Model evaluation", "Data pipeline validation", "Hardware-in-the-loop", "Robotics simulation", "ML model evaluation", "Leadership", "Mentoring", "Quality Assurance", "AI/ML", "Robotics", "Cloud Platform", "System design", "Release management", "Release qualification gates", "Warehouse intelligence", "Supply chain", "Computer vision", "ML models", "Cloud platform", "Embedded systems", "SaaS platform", "GitHub Actions", "Jenkins", "Docker", "AWS", "GCP", "Gazebo", "Isaac Sim" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 459.0082, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305118f292fd229cef9b60", "title" : "Staff Data Scientist - Product", "company" : "Apollo. io", "industry" : "SaaS", "salary" : { "min" : 205200.0, "max" : 295000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:29:35.385", "fingerprint" : "723b63ee82e93de895511fcf6e63dfcdd03f1495ace7dab8cb50bacf3ee1caea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apolloio/jobs/5894865004", "externalId" : "5894865004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, R, Python, SAS, Looker, Amplitude, Heap, Mixpanel", "professionalSkills" : [ "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Analytics infrastructure", "Product goals" ], "hardSkillsList" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Funnel optimization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Product analytics, Data science, Machine learning, Statistical analysis", "majorSkillsList" : [ "Product analytics", "Data science", "Machine learning", "Statistical analysis" ], "coreResponsibilities" : "Translate business needs into data analysis and actionable, Optimize product performance and user experience, Support early-stage product initiatives, Work closely with product managers, engineers, and stakeholders, Identify critical product questions, Provide data-driven solutions, Develop and maintain scalable, reliable, and accurate analytics, Support product decisions, Establish and maintain best practices for data collection,, Deliver actionable insights and recommendations, Focus on landing tangible product impact, Foster a culture of data-driven decision-making, Foster a culture of continuous improvement, Ensure the integrity and accuracy of the data, Support 0 to 1 product launches, Identify key metrics, Analyze early-stage product data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Stakeholders", "domainKnowledge" : "SaaS Product-Led Growth; Product activation metrics; Aha moments; Habit moments", "domainList" : [ "saas-product-led-growth", "product-activation-metrics", "aha-moments", "habit-moments" ], "domainSpecificKnowledge" : [ "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments" ], "toolProficiency" : [ "Looker", "Amplitude", "Heap", "Mixpanel" ], "communicationSkills" : "Present data insights", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience, Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization, Expert-level proficiency in influencing product strategy with SQL, A testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc, Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with Product Analytics tools (e.g., Looker, Amplitude), Experience with 0 to 1 product initiatives, Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments)", "remoteFriendly" : true, "rawDescription" : "Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. Establish and maintain best practices for data collection, analysis, and reporting. Deliver actionable insights and recommendations focused on landing tangible product impact. Help foster a culture of data-driven decision-making and continuous improvement within the product teams. Ensure the integrity and accuracy of the data used for analysis and reporting. While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. Expertise in translating complex data into insights that are actionable for cross-functional teams. Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. Experience in building and maintaining reliable analytics infrastructures. Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. Experience with 0 to 1 product initiatives is a plus, though not required. A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $236,000—$295,000 USD Tier 2 Pay Range (All other US Locations) $205,200—$256,500 USD We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at Apollo At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!", "summaryDescription" : "Staff Data Scientist - Product at Apollo. io. Skills: Product analytics, Data science, Machine learning, Statistical analysis. Translate business needs into data analysis and actionable. Optimize product performance and user experience", "postedDate" : "2026-06-15T23:16:02.991", "createdAt" : "2026-06-15T23:16:02.991", "lastUpdated" : "2026-06-16T06:29:35.385", "ingestTimestamp" : "2026-06-15T23:16:02.991", "mongoId" : "6a305118f292fd229cef9b60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 205200, "salaryAnnualMax" : 295000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis", "Adaptability", "Product analytics", "Data science", "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Product goals", "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Looker", "Amplitude", "Heap", "Mixpanel" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 457.84192, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafed74d8ee00a09d83ce", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:58:14.336", "fingerprint" : "1141533a0ea2a9896faa30a62c944cb0be691492717a7ccd0019375ea41bcbde", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/64c47211-cf25-4747-b3d6-848fecb0f39a/application", "externalId" : "64c47211-cf25-4747-b3d6-848fecb0f39a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML", "professionalSkills" : [ "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "hardSkillsList" : [ "ML" ], "softSkillsList" : [ "curious, caring, cross-functional" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious, caring, cross-functional" } ], "majorSkills" : "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "majorSkillsList" : [ "Platform leadership, Product judgement, Commercial impact, Data platform, ML" ], "coreResponsibilities" : "Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "teamCollaboration" : "Build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.", "communicationSkills" : "Direct", "documentationSkills" : "documentation", "innovationCreativity" : "Shape the future state, zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.", "problemSolvingSkills" : "system design; debugging; algorithms", "specialRequirements" : "Must be able to work in Barcelona, Edinburgh or London. Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "createdAt" : "2026-06-14T20:17:27.024", "lastUpdated" : "2026-06-15T09:58:14.336", "ingestTimestamp" : "2026-06-14T20:17:27.024", "mongoId" : "6a2cafed74d8ee00a09d83ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ML", "curious, caring, cross-functional", "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 455.08157, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304f7cf292fd229cee7edf", "title" : "Product Owner Data H/F", "company" : "NEXTON", "industry" : "Information Technology And Services", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Owner in the Technology industry in Paris, France, adjusted for seniority and company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T03:08:24.406", "fingerprint" : "d94a326f448baff172508fc2de12b2a1255b3fe7fab03e25059c971d85eb9aa1", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/NEXTON/744000132203640-product-owner-data-h-f", "externalId" : "744000132203640", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "IDF", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, IDF, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, API", "professionalSkills" : [ "Product strategy", "Roadmap management", "Business analysis", "Data analysis", "Performance metrics" ], "hardSkillsList" : [ "Data quality", "Infrastructure management" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" } ], "majorSkills" : "Product Ownership, Data Platform, AWS Infrastructure", "majorSkillsList" : [ "Product Ownership", "Data Platform", "AWS Infrastructure" ], "coreResponsibilities" : "Ensure projects align with strategic objectives, Develop and manage product strategy, Define and manage product roadmap, Identify AI opportunities, Gather business needs, Manage product lifecycle, Ensure product development, Plan future versions, Define value creation KPIs, Track product performance metrics, Analyze data for improvements", "teamCollaboration" : "Cross-functional teams; Development team", "projectManagementSkills" : [ "Agile", "Product lifecycle management" ], "domainKnowledge" : "Data quality; AWS infrastructure; Generative AI", "domainList" : [ "data-quality", "aws-infrastructure", "generative-ai" ], "domainSpecificKnowledge" : [ "Data quality", "AWS infrastructure", "Generative AI" ], "communicationSkills" : "Stakeholder communication; Adaptable communication", "continuousLearning" : "Meet Ups; Training", "innovationCreativity" : "AI application", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Maximize product value; Ensure product meets user needs; Align product with business goals", "qualificationsBasic" : "5+ years Product Owner, Degree in computer science, Degree in software engineering, Degree in data engineering, Equivalent experience, Experience with Azure generative AI APIs, Experience writing automated tests, Excellent communication skills, Comfortable with UX/UI concepts, Good understanding of technical issues, User-centric approach, Data-driven approach, Mastery of prioritization frameworks, Proactive and autonomous work, Team spirit", "qualificationsPreferred" : "Appetite for technical aspects, Experience with AWS infrastructure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Qui sommes-nous ? Rejoindre NEXTON, c'est intégrer une entreprise où convergent l'esprit d'un cabinet de conseil, la créativité d'une Factory et la dynamique d'une ESN ! Grâce à notre expertise, nous accompagnons des clients grands comptes et des pure players tels que SNCF, Orange, et BNP Paribas dans leurs stratégies d'évolution et d'innovation digitale. Fondée en 2011, NEXTON réunit aujourd'hui une équipe de plus de 450 experts spécialisés dans le digital, le design, l'agilité, le produit et le développement. Ensemble, ils créent un écosystème riche en connaissances et en compétences diversifiées. NEXTON recrute un Product Owner Data H/F , en CDI , à Paris ! Ton futur environnement de travail : Nous recherchons un consultant Product Owner expérimenté avec une appétence pour les aspects techniques pour piloter des projets techniques en qualité des données et en infrastructure AWS. Ces projets ont pour objectif de garantir la fiabilité des traitements critiques des données et de faire évoluer la plateforme Data d'un groupe international à travers ses territoires : Europe (France, Pologne, Suisse, etc.), Afrique et Asie (Vietnam, …). Tes missions : En tant que Product Owner, tu es responsable de maximiser la valeur du produit. Au cœur de sa conception et de son évolution, tu garantis que le produit répond aux attentes des utilisateurs tout en s'alignant avec les objectifs business. Voici tes principales missions : * Veiller à ce que les projets soient alignés avec les objectifs stratégiques de l’entreprise * Développer et piloter la stratégie globale de plusieurs produits * Bonne compréhension des problématiques business * Définir et gérer la roadmap produit * Identifier les opportunités d’application de l’IA pour résoudre les problématiques business * Recueillir et synthétiser les besoins des métiers * Maîtriser la gestion de produits sur tout leur cycle de vie (Discovery, Delivery, Run) * Veiller au bon développement des produits et à la planification de futures versions * Définir les KPIs pour estimer la création de valeur * Suivre les métriques de performance du produit et analyser les données pour identifier les opportunités d’amélioration. ## Qualifications Tu justifies d’un minimum d’expérience de 5 ans en tant que Product Owner. Diplôme en informatique, en génie logiciel, en ingénierie des données ou dans un domaine connexe (ou expérience équivalente). Tu as une première expérience sur les API d’IA générative d’Azure et en en écriture de tests automatisés Tu as une excellente capacité à communiquer avec toutes les parties prenantes et l’équipe de développement, en adaptant ton discours à ton interlocuteur. Tu es à l’aise avec les concepts UX/UI et as une bonne compréhension des problématiques techniques (architecture, API). Centré sur les utilisateurs, tu es en relation constante avec eux pour toujours aligner le produit avec leurs besoins. Tu adoptes une approche data-driven : tu possèdes de fortes compétences analytiques et prends des décisions basées sur des données concrètes. Tu maîtrises les frameworks de priorisation et sais les manier avec expertise pour maximiser la valeur délivrée. Tu es capable de travailler de manière proactive et autonome tout en maintenant un esprit d’équipe. ## Additional Information Pourquoi choisir NEXTON ? Nous te proposons des avantages et des opportunités pour enrichir ton expérience professionnelle et personnelle tout au long de l'année : ▶ Des communautés dynamiques pour t'accompagner dans ton parcours. ▶ Des Meet Up pour développer tes compétences. ▶ Des formations pour te réinventer et progresser. ▶ Des événements sportifs et festifs pour t'épanouir. ▶ Un forfait mobilité durable pour faciliter ton quotidien et encourager la mobilité douce. ▶ Un téléphone de dernière génération pour rester connecté. Prêt à nous rejoindre ? Rencontrons-nous ! NEXTON", "summaryDescription" : "Product Owner Data H/F at NEXTON. Skills: Product Ownership, Data Platform, AWS Infrastructure. Ensure projects align with strategic objectives. Develop and manage product strategy", "postedDate" : "2026-06-15T13:33:56.000", "createdAt" : "2026-06-15T21:43:38.556", "lastUpdated" : "2026-06-16T03:08:24.406", "ingestTimestamp" : "2026-06-15T21:43:38.556", "mongoId" : "6a304f7cf292fd229cee7edf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality", "Infrastructure management", "Product Ownership", "Data Platform", "AWS Infrastructure", "Product strategy", "Roadmap management", "Business analysis", "Data analysis", "Performance metrics", "Agile", "Product lifecycle management", "AWS infrastructure", "Generative AI" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 450.39923, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307b2af292fd229c0449b6", "title" : "Senior Product Manager, Data", "company" : "Nuro", "industry" : "Technology", "salary" : { "min" : 160360.0, "max" : 240540.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nuro HQ - Mountain View, CA", "locations" : [ "Nuro HQ - Mountain View", "CA" ], "timestamp" : "2026-06-16T14:51:31.398", "fingerprint" : "9617351cf330a60ce67a43a6ae2216c25d680258e3385102643cbe709fa1d767", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://nuro.ai/careersitem?gh_jid=7603694", "externalId" : "7603694", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "rawDescription" : "Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us—that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale—from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We're looking for a Product Manager to own the data infrastructure and labeling systems that power our autonomous vehicle development. Data quality is one of the most critical inputs to our ML and Behavior teams, and this role will build the systems and workflows that give those teams confidence in the data they depend on—shipping dashboards that eliminate manual reconciliation, defining labeling standards that prevent costly rework, and creating infrastructure that scales as our fleet grows. This is a high-ownership role where you'll work across Engineering, Operations, ML, and external vendors to turn processes into reliable, measurable systems. About the Work Build visibility into data. Ship dashboards that reconcile mileage across sources, show collection coverage, and let ML and Behavior teams see what data exists and what's missing. Optimize data collection. Define requirements for smarter data collection routing to improve targeting efficiency—fewer miles driven, higher-value data captured. Scale the infrastructure. Develop tooling to support 150+ vehicles operating across multiple cities. Raise the bar on labeling quality. Own labeling specs approval, define pass/fail quality thresholds, and design a vendor audit framework that gives us quantified confidence in output. Own the labeling tooling roadmap. Prioritize engineering investment in labeling infrastructure and identify cost reduction opportunities (pre-labeling, smarter task routing, reducing redundant QA). About You You take ownership of messy problems. You're energized, not discouraged, by ambiguity. You'll inherit fragmented processes and incomplete systems—and you'll build structure where none exists. You ship. You bias toward action and delivering working solutions over perfect plans. You know when \"good enough now\" beats \"great later.\" You're deeply analytical. You're comfortable digging into data pipelines, writing SQL, and building your own visibility when dashboards don't exist yet. You operate at both altitude and ground level. You can define a long-term infrastructure vision and also roll up your sleeves to document acceptance criteria or audit vendor output. You communicate crisply across technical and non-technical audiences. You'll work daily with engineers, ML researchers, operations teams, and external vendors—and need to translate between all of them. You hold systems accountable. You don't just launch processes; you measure them, find where they break, and fix them. You have 5+ years of product management experience, ideally with exposure to data platforms, ML infrastructure, operations tooling, or vendor management. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.", "summaryDescription" : "Senior Product Manager, Data at Nuro. Define product strategy. Develop product roadmap", "postedDate" : "2026-06-16T01:16:41.355", "createdAt" : "2026-06-16T01:16:41.355", "lastUpdated" : "2026-06-16T14:51:31.398", "ingestTimestamp" : "2026-06-16T01:16:41.355", "mongoId" : "6a307b2af292fd229c0449b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160360, "salaryAnnualMax" : 240540, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 449.45047, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f77e", "title" : "Cost Analyst", "company" : "Mercedes-Benz Group Services Poland", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Cost Analyst in Krakow, Poland, adjusted for the automotive industry and company size." }, "location" : "Poland-Krakau-Krakau", "locations" : [ "Poland-Krakau-Krakau", "Aleja Pokoju 18, " ], "timestamp" : "2026-06-16T02:57:07.754", "fingerprint" : "6ef5e9644e7092c58e305acddea9b2f1e6406150437ee17a279e51bb1014c0df", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895175", "externalId" : "895175", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.0619474,19.9368564" } ], "locationText" : "Krakow, Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "MS Office, Excel", "professionalSkills" : [ "Cost impact assessments", "Process documentation", "Process optimization" ], "hardSkillsList" : [ "Plausibility checks" ], "hardSkills" : [ { "name" : "Plausibility checks", "level" : "intermediate" } ], "majorSkills" : "Product costing, Engineering changes", "majorSkillsList" : [ "Product costing", "Engineering changes" ], "coreResponsibilities" : "Evaluate technical changes, Collect cost impact assessments, Perform plausibility checks, Coordinate and clarify issues, Handle ad-hoc inquiries, Support knowledge transfer, Create process documentation, Maintain process documentation, Identify optimization potentials, Implement optimization potentials", "teamCollaboration" : "Internal stakeholders; Responsible departments; Cross-functional responsibilities", "domainKnowledge" : "Vehicle components; Automotive industry", "domainList" : [ "vehicle-components", "automotive-industry" ], "domainSpecificKnowledge" : [ "Vehicle components", "Automotive industry" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Clarification of issues", "qualificationsBasic" : "Degree in economics or engineering, Initial experience in production or plant controlling, Experience working with technical and operational departments, Exposure to engineering changes, English minimum C1 level", "qualificationsPreferred" : "Experience within the automotive industry", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mercedes-Benz Group Services Poland (MBGSPL) is a wholly owned subsidiary of Mercedes-Benz Group AG. As a Finance Operations Center for the AG and its subsidiaries, we offer innovative solutions in the areas of finance and controlling. Founded in 2024, we are currently in a strong development phase and want to develop quickly to contribute to the economic success of the Group in Krakow. Become part of our Product Costing team as soon as possible! These are your tasks: Evaluation of technical changes (engineering changes) to vehicles or vehicle components within the Mercedes-Benz Cars divisions Collection of cost impact assessments from internal stakeholders such as Purchasing and Logistics Plausibility checks of change requests based on predefined assumptions and guidelines Proactive coordination and clarification of issues and required adjustments with the responsible departments Handling of ad-hoc inquiries In addition, you will take on cross-functional responsibilities such as: Supporting knowledge transfer between Daimler AG and Daimler Group Services Berlin by creating and maintaining process documentation Identifying and implementing optimization potentials within internal processes What can you expect from us: Possibility of hybrid working - currently 3 days presence and 2 days possibility to work remotely Flexible working hours – you can start between 6AM and 10AM Open corporate culture Central location with good transport connections / parking spaces on site Education: Degree in economics or in engineering or comparable qualification Initial experience in production or plant controlling, preferably within the automotive industry Experience working with technical and operational departments (e.g. Engineering, Production, Logistics) Exposure to engineering changes (ECs), product modifications, or change management processes Confident handling of MS Office – especially Excel English minimum C1 level Mercedes-Benz Group Services Poland Sp. z o.o.", "summaryDescription" : "Cost Analyst at Mercedes-Benz Group Services Poland. Skills: Product costing, Engineering changes. Evaluate technical changes. Collect cost impact assessments", "createdAt" : "2026-06-14T20:50:07.737", "lastUpdated" : "2026-06-16T02:57:07.754", "ingestTimestamp" : "2026-06-14T20:50:07.737", "mongoId" : "6a191e7758b93c861e39f77e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Plausibility checks", "Product costing", "Engineering changes", "Cost impact assessments", "Process documentation", "Process optimization", "Vehicle components", "Automotive industry" ], "skillCount" : 8, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 448.64398, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3050c9f292fd229cef54b2", "title" : "Senior Footwear Cost Engineer", "company" : "ARC'TERYX", "industry" : "Footwear Product Creation", "salary" : { "min" : 82000.0, "max" : 113000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Portland, OR", "locations" : [ "Portland, OR" ], "timestamp" : "2026-06-16T11:27:17.016", "fingerprint" : "cd86510e11f4fc93689721f4208c2410ee266c0d88483a49117af2df523a959f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/arcteryx.com/a355d2ed-c598-442c-9478-fec625bfbc31/apply", "externalId" : "a355d2ed-c598-442c-9478-fec625bfbc31", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Portland", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5202471,-122.6741940" } ], "locationText" : "Portland, Oregon, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Cost engineering", "Margin improvement", "Influencing skills", "Alignment across stakeholders", "Root cause analysis" ], "hardSkillsList" : [ "Footwear costing" ], "softSkillsList" : [ "Adaptability", "Autonomy" ], "hardSkills" : [ { "name" : "Footwear costing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" }, { "name" : "Autonomy" } ], "majorSkills" : "Cost engineering, Margin improvement", "majorSkillsList" : [ "Cost engineering", "Margin improvement" ], "coreResponsibilities" : "Ensure teams set model-level FOB targets, Review CBDs at each critical stage, Provide suggestions to improve margin, Collaborate with Materials Design and Development, Ensure upper materials strategy is aligned, Collaborate with Engineering teams, Ensure quoted labor and overhead costs are in, Foster partnerships with Tier 1 and Tier 2, Ensure Arc'teryx's standards and processes are agreed upon, Leverage functional expertise to educate, Coach others, Mentor others, Learn and monitor processes in manufacturing, Search for efficiency improvements opportunities, Develop costing tools, Identify costing tools, Develop costing processes, Identify costing processes, Coach product creation team, Mentor product creation team, Evolve costing processes", "teamCollaboration" : "Cross-functional stakeholders; Materials Design and Development; Engineering teams; Tier 1 and Tier 2 partners; Product creation team", "domainKnowledge" : "Footwear construction; Footwear foams; Footwear rubbers; Footwear manufacturing; Footwear materials", "domainList" : [ "footwear-construction", "footwear-foams", "footwear-rubbers", "footwear-manufacturing", "footwear-materials" ], "domainSpecificKnowledge" : [ "Footwear construction", "Footwear foams", "Footwear rubbers", "Footwear manufacturing", "Footwear materials" ], "communicationSkills" : "Interpersonal; Written; Verbal", "continuousLearning" : "Professional development opportunities; Arc'teryx Academies", "innovationCreativity" : "Digital future; Disruptive evolution", "problemSolvingSkills" : "Root cause analysis; Developing solutions", "qualificationsBasic" : "Five years' experience in cost engineering, Basic knowledge of footwear construction, Basic knowledge of foams and rubbers, Basic knowledge of manufacturing, Basic knowledge of materials, Excellent communication skills", "qualificationsPreferred" : "Exposure to manufacturing environments in Asia", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## If you were in the role of Senior Cost Engineer at ARC’TERYX, here’s what you’d be working on Enable teams to hit quality, performance and financial standards by: Ensuring teams set model-level FOB targets at the beginning of the season Reviewing CBDs at each critical stage of the product creation process Providing suggestions on all models to improve margin Collaborating with the Materials Design and Development to ensure our upper materials strategy is aligned against costing targets. Collaborating with our Engineering teams in both Portland and Asia to ensure quoted labor and overhead costs for every process are in line with expectations Fostering deep, collaborative partnerships with Tier 1 and Tier 2 partners to ensure Arc’teryx’s standards and processes are agreed upon and followed. Leveraging your functional expertise to educate, coach and mentor others Continuously learn and monitor processes in manufacturing to search for efficiency improvements opportunities ## Here are some of the things you could be working on in the future Developing and/or identifying the costing tools and processes need to lead us into the digital future Coaching and mentoring our full product creation team Evolving our costing processes to ensure we are well positioned for our next phase of growth ## Are you our next Senior Footwear Cost Engineer? You have at least five years’ experience in cost engineering in the footwear industry, ideally with exposure to manufacturing environments in Asia You can independently provide suggestions and ideas for improving margins. You have strong influencing skills, with the ability to drive alignment across diverse cross-functional stakeholders You set a clear vision, align your team around common objectives, and foster commitment to these objectives You have basic knowledge of footwear construction, foams and rubbers, manufacturing, and materials You have excellent communication skills - interpersonal, written and verbal You are proactive in identifying the root cause of issues and developing solutions You remain highly flexible and adaptable when faced with ambiguity You effectively balance autonomy and collaboration You seek the best (sometimes not the easiest) solutions ## Additional Information Total Rewards Most new team members join between the start and midpoint of the range, where you can contribute right away while continuing to grow your craft, your collaborations, and your impact at Arc’teryx. This range reflects market alignment and the scope of the role. Individual pay is determined by your skills, experience, and level of responsibility. We’re committed to fair, equitable, and competitive pay, reviewed regularly to ensure internal alignment and market relevance. Transparency is part of how we follow through on our commitments and how we honour the value you bring to our team. In addition to base pay, Arc’teryx supports people through benefits designed to sustain both work and life: Health & wellbeing - Extended health, dental, and vision coverage, including mental health support, fertility benefits, and a 24/7 Employee Assistance Program (EAP). Financial wellbeing - Immediately vested 401(k) retirement savings plan matching, eligibility for Arc'teryx Annual Incentive Plan and access to Employee Stock Purchase program (ESPP) where applicable. Time & Flexibility - Paid time off and No Wasted Day program (dedicated paid days to get outside & explore). Family support - Parental leave for birthing and on-birthing parents, including an option to ease the transition back to work. Growth, community & gear - Professional development opportunities, Arc'teryx Academies (outdoor skill-building events), Employee Belonging Councils, and access to employee discounts and Pro Deals (exclusive discounted pricing on gear). *Eligibility for certain programs may vary by role. Equal Opportunity Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance. Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate. All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values. Leave it Better We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way. Join us in creating positive change in ourselves, our communities, and the world. Live it. Get out there - the mountains make us better Disruptive evolution. In pursuit of better. Always. Commit. We set bold objectives and see them through. Equal Opportunity Arc’teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance. Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate. All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values. Leave it Better We believe that the mountains transform us, that how we adventure matters, and that there’s always a better way. Join us in creating positive change in ourselves, our communities, and the world. Live it. Get out there - the mountains make us better Disruptive evolution. In pursuit of better. Always. Commit. We set bold objectives and see them through. ", "summaryDescription" : "Senior Footwear Cost Engineer at ARC'TERYX. Skills: Cost engineering, Margin improvement. Ensure teams set model-level FOB targets. Review CBDs at each critical stage", "postedDate" : "2026-06-15T19:00:24.877", "createdAt" : "2026-06-15T19:00:24.877", "lastUpdated" : "2026-06-16T11:27:17.016", "ingestTimestamp" : "2026-06-16T03:20:15.620", "mongoId" : "6a3050c9f292fd229cef54b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 82000, "salaryAnnualMax" : 113000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Footwear costing", "Adaptability", "Autonomy", "Cost engineering", "Margin improvement", "Influencing skills", "Alignment across stakeholders", "Root cause analysis", "Footwear construction", "Footwear foams", "Footwear rubbers", "Footwear manufacturing", "Footwear materials" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 448.01144, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Outdoor & Apparel", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ae874d8ee00a09475c5", "title" : "Production Quality Engineer", "company" : "Gotion, Inc.", "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "certifications" : [ ], "timestamp" : "2026-06-15T10:29:11.259", "fingerprint" : "52eb16438dc17633e88854d40a2e90cf5df7688b6eafe88715a0dda3a0765f22", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/7604600002", "externalId" : "7604600002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manteno", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Manteno, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "lithium batteries", "professionalSkills" : [ "battery or automotive battery industry" ], "hardSkillsList" : [ "ISO 9001", "IATF 16949" ], "softSkillsList" : [ "customer-oriented awareness" ], "hardSkills" : [ { "name" : "ISO 9001", "level" : "intermediate" }, { "name" : "IATF 16949", "level" : "intermediate" } ], "softSkills" : [ { "name" : "customer-oriented awareness" } ], "majorSkills" : "quality engineering, production process, continuous improvement, ISO 9001, IATF 16949", "majorSkillsList" : [ "quality engineering, production process, continuous improvement, ISO 9001, IATF 16949" ], "coreResponsibilities" : "Ensuring high quality in production process and output, control plan implementation, conducting conformance checks, analyzing quality data, driving continuous improvement, identifying and resolving quality issues in production and supply chain, managing non-conforming product, managing rework and repair areas, training operators, inspecting production line processes, managing inspectors, developing standard inspection guidelines, tracking industry best practices, promoting factory quality systems and process optimization.", "teamCollaboration" : "Through cross-functional collaboration, they identify and resolve quality issues in production and supply chain.", "toolProficiency" : [ "Microsoft Office, SPC, FMEA, 8D, 5Why, Fishbone, DOE, Kaizen, CAPA" ], "communicationSkills" : "Excellent communication skills; interpersonal skills", "documentationSkills" : "Maintain clear records; quality reports; audit records; corrective measures", "continuousLearning" : "Track industry best practices and quality standards and promotes factory quality systems and process optimization.", "problemSolvingSkills" : "continuous improvement; root cause analysis; corrective and preventive measures; system design", "outcomesObjectives" : "Ensuring plant operations meet Gotion's standards and customer requirements.", "qualificationsBasic" : "Bachelor’s degree in Engineering, 3+ years of experience in quality engineering in manufacturing industry, Proven ability to manage multiple events simultaneously and meet tight deadlines.", "qualificationsPreferred" : "experience in battery or automotive battery industry, familiarity with quality management software.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Gotion Illinois is seeking a dynamic Production Quality Engineer this person will play a critical role in ensuring high quality in production process and output. They are responsible for ensuring control plan implementation, conducting conformance checks, analyzing quality data and driving continuous improvement. Through cross-functional collaboration, they identify and resolve quality issues in production and supply chain, ensuring plant operations meet Gotion's standards and customer requirements (Excellent communication skills and customer-oriented awareness, able to handle customer complaints and pressure scenarios efficiently. What You’ll Do Collect and analyze production and quality data, including defect rates, return rates, and process capability indices (CPK, PPK, CMK), among others. Identify trends and potential issues and propose preventive measures to reduce risks. Organize root cause analysis of quality issues, promote and verify the effectiveness of corrective and preventive measures. Manage the non-conforming product area on the production line, lead the non-conforming product determination process, establish and maintain a non-conforming product ledger. Management of rework and repair areas, establishment of rework and repair area ledger, promotion of process output rework operation instructions and production rework operation execution, and rework testing. Confirm the implementation of control plan in the production line, including inspection items, frequency, standards, and corrective action plans. Guide and train operators to ensure the implementation of relevant quality processes and standards in the production process. Regularly inspect each process of the production line, identify potential risks, and propose improvement measures. Manage the work of inspectors and conduct hierarchical audits based on control plans and other standards. Develop standard inspection guidelines Maintain clear records of all quality activities, including quality reports, audit records, and corrective measures. Track industry best practices and quality standards and promotes factory quality systems and process optimization. What You’ll Bring Bachelor’s degree in Engineering 3+ years of experience in quality engineering in manufacturing industry, with priority given to those with experience in battery or automotive battery industry. Proven ability to manage multiple events simultaneously and meet tight deadlines. Familiarity with quality management systems (ISO 9001, IATF 16949, etc.). Familiarity with Kaizen and CAPA Familiarity with DOE Solving Tools Mastered quality tools and methods (SPC, FMEA, 8D, 5Why, Fishbone, etc.). Proficient in using Microsoft Office software, with familiarity in quality management software preferred. Excellent communication and interpersonal skills, able to work independently and as a team member. The U. S. base salary range for this full-time position is $80,000- $100,000, plus eligibility for bonus and benefits. Our salary ranges are determined by factors such as the role, level, and geographic location. The range listed in the job posting represents the minimum and maximum target salaries for this position across all U. S. locations. Actual compensation within the range will be influenced by the specific work location, along with factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific salary range for your preferred location during the hiring process. Please note that the listed compensation reflects the base salary only and does not include bonus or benefits. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Production Quality Engineer at Gotion, Inc.. Skills: quality engineering, production process, continuous improvement, ISO 9001, IATF 16949. Ensuring high quality in production process and output, control plan implementation, conducting conformance checks, analyzing quality data, driving continuous improvement, identifying and resolving quality issues in production and supply chain, managing non-conforming product, managing rework and repair areas, training operators, inspecting production line p", "postedDate" : "2026-06-14T20:01:14.336", "createdAt" : "2026-06-14T20:01:14.336", "lastUpdated" : "2026-06-15T10:29:11.259", "ingestTimestamp" : "2026-06-14T20:01:14.336", "mongoId" : "6a2c7ae874d8ee00a09475c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ISO 9001", "IATF 16949", "customer-oriented awareness", "quality engineering, production process, continuous improvement, ISO 9001, IATF 16949", "battery or automotive battery industry", "Microsoft Office, SPC, FMEA, 8D, 5Why, Fishbone, DOE, Kaizen, CAPA" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 447.42545, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 441.09875, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3050d7f292fd229cef60d1", "title" : "Director of Quality", "industry" : "Qualdoc Staffing", "salary" : { "min" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbus, OH", "locations" : [ "Columbus, OH" ], "certifications" : [ "Lean Manufacturing", "Six Sigma", "ASQ", "Quality certifications" ], "timestamp" : "2026-06-16T11:13:46.737", "fingerprint" : "eb013d88e927c0bc214173d2c7097c32d33c06eec4433d4ce2bc8bef80ac3322", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/qualdoc/d93b1ba3-cb00-4f32-b5d8-36850c72c9c6/apply", "externalId" : "d93b1ba3-cb00-4f32-b5d8-36850c72c9c6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "experienceLevel" : "Director", "professionalSkills" : [ "Quality strategy", "Process management", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Quality systems", "Compliance programs", "Root cause analysis", "Process improvement", "Quality management", "Cross-functional leadership", "Organizational change", "Team leadership", "Supplier quality programs", "Performance metrics", "Cost of quality", "Executive reporting" ], "hardSkillsList" : [ "Quality standards", "Process controls", "Quality metrics", "Reporting systems", "Audit processes" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quality standards", "level" : "intermediate" }, { "name" : "Process controls", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Reporting systems", "level" : "intermediate" }, { "name" : "Audit processes", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Quality strategy, Quality systems, Continuous improvement, Team leadership", "majorSkillsList" : [ "Quality strategy", "Quality systems", "Continuous improvement", "Team leadership" ], "coreResponsibilities" : "Develop and execute quality vision, strategy, and objectives, Establish quality goals aligned with business objectives, Promote a culture of quality, accountability, and continuous, Partner with executive leadership, engineering, operations, and supply, Lead implementation and continuous improvement of Quality Management, Ensure compliance with ISO 9001 standards and regulatory, Oversee internal and external audits, Manage corrective actions, Oversee document control, Manage quality documentation processes, Develop and standardize quality procedures, Establish quality standards throughout production, Implement process controls throughout production, Drive reductions in defects, Drive reductions in rework, Drive reductions in scrap, Drive reductions in customer complaints, Lead root cause analysis, Implement quality metrics and reporting systems, Monitor performance and identify improvement opportunities, Serve as escalation point for customer quality concerns, Support customer audits and quality reviews, Develop supplier quality programs, Develop supplier performance metrics, Collaborate with suppliers to improve quality, Collaborate with internal teams to improve quality, Lead, mentor, and develop quality personnel, Build and scale quality organization, Develop training programs for quality awareness, Develop training programs for process discipline, Foster collaboration across quality, manufacturing, engineering, and supply, Develop and maintain quality KPIs, Develop executive-level dashboards, Communicate quality performance, trends, risks, and initiatives, Monitor cost-of-quality metrics", "teamCollaboration" : "Partner with executive leadership; Partner with engineering; Partner with operations; Partner with supply chain; Collaborate with suppliers; Collaborate with internal teams; Foster collaboration across teams", "domainKnowledge" : "Manufacturing operations; ISO 9001 standards; Regulatory requirements; Quality Management System (QMS); Electrical equipment manufacturing; Industrial equipment manufacturing; Power distribution manufacturing; Control panel manufacturing; Fabrication processes; Welding processes; Machining processes; Assembly processes; Custom manufacturing processes; Engineer-to-order (ETO); Configure-to-order manufacturing", "domainList" : [ "manufacturing-operations", "iso-9001-standards", "regulatory-requirements", "quality-management-system-qms", "electrical-equipment-manufacturing", "industrial-equipment-manufacturing", "power-distribution-manufacturing", "control-panel-manufacturing", "fabrication-processes", "welding-processes", "machining-processes", "assembly-processes", "custom-manufacturing-processes", "engineer-to-order-eto", "configure-to-order-manufacturing" ], "domainSpecificKnowledge" : [ "Manufacturing operations", "ISO 9001 standards", "Regulatory requirements", "Quality Management System (QMS)", "Electrical equipment manufacturing", "Industrial equipment manufacturing", "Power distribution manufacturing", "Control panel manufacturing", "Fabrication processes", "Welding processes", "Machining processes", "Assembly processes", "Custom manufacturing processes", "Engineer-to-order (ETO)", "Configure-to-order manufacturing" ], "communicationSkills" : "Executive presentations; Reporting", "documentationSkills" : "Quality documentation", "problemSolvingSkills" : "Root cause analysis; Problem-solving", "specialRequirements" : "30% manufacturing floor engagement", "outcomesObjectives" : "Reduced defects, scrap, rework, and customer quality issues; Improved audit results and corrective action performance; Quality systems and organizational compliance; Increased customer satisfaction; Increased operational performance; Development of high-performing quality organization; Support business growth", "qualificationsBasic" : "Bachelor's degree in Engineering, Quality Management, Manufacturing, Industrial Technology, or a related field, 10+ years of quality leadership experience within a manufacturing environment, Experience leading quality systems, compliance programs, and continuous improvement initiatives, Knowledge of root cause analysis, corrective actions, process improvement methodologies, and quality management principles, Proven ability to lead cross-functional teams and drive organizational change, Excellent leadership, communication, and problem-solving skills", "qualificationsPreferred" : "Experience in electrical equipment, industrial equipment, power distribution, control panels, or similar manufacturing industries, Knowledge of fabrication, welding, machining, assembly, or custom manufacturing processes, Experience supporting engineer-to-order (ETO) or configure-to-order manufacturing environments, Understanding of ISO 9001 standards and audit processes, Lean Manufacturing, Six Sigma, ASQ, or related quality certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description Director of Quality Location: Columbus, OH Job Type: Direct Hire Salary: Starting at $100,000+ (Based on Experience) Position Overview We are seeking an experienced Director of Quality to lead quality strategy, systems, and performance across a growing manufacturing operation. This leadership role is responsible for driving quality excellence, continuous improvement, compliance, and operational performance while ensuring products and processes consistently meet customer expectations and industry standards. The ideal candidate is a strategic yet hands-on quality leader with a strong background in manufacturing environments and proven success implementing quality systems, reducing defects, and building high-performing teams. Work Environment: Approximately 70% office-based and 30% manufacturing floor engagement. ## Key Responsibilities Quality Leadership & Strategy Develop and execute the organization's quality vision, strategy, and long-term objectives. Establish quality goals aligned with business objectives and customer expectations. Promote a culture of quality, accountability, and continuous improvement. Partner with executive leadership, engineering, operations, and supply chain teams to drive quality initiatives. Quality Systems & Compliance Lead the implementation and continuous improvement of the Quality Management System (QMS). Ensure compliance with ISO 9001 standards and applicable regulatory requirements. Oversee internal and external audits, corrective actions, document control, and quality documentation processes. Develop and standardize quality procedures across manufacturing operations. Manufacturing Quality Establish quality standards and process controls throughout production operations. Drive reductions in defects, rework, scrap, and customer complaints. Lead root cause analysis and corrective action initiatives. Implement quality metrics and reporting systems to monitor performance and identify improvement opportunities. Customer & Supplier Quality Serve as the primary escalation point for customer quality concerns. Support customer audits and quality reviews. Develop supplier quality programs and performance metrics. Collaborate with suppliers and internal teams to improve product and process quality. Team Leadership & Development Lead, mentor, and develop quality personnel. Build and scale the quality organization to support business growth. Develop training programs that promote quality awareness and process discipline. Foster collaboration across quality, manufacturing, engineering, and supply chain teams. Performance Reporting Develop and maintain quality KPIs and executive-level dashboards. Communicate quality performance, trends, risks, and improvement initiatives to leadership. Monitor cost-of-quality metrics, including scrap, rework, warranty claims, and customer complaints. ## Qualifications Required Bachelor's degree in Engineering, Quality Management, Manufacturing, Industrial Technology, or a related field. 10+ years of quality leadership experience within a manufacturing environment. Experience leading quality systems, compliance programs, and continuous improvement initiatives. Strong knowledge of root cause analysis, corrective actions, process improvement methodologies, and quality management principles. Proven ability to lead cross-functional teams and drive organizational change. Excellent leadership, communication, and problem-solving skills. Preferred Experience in electrical equipment, industrial equipment, power distribution, control panels, or similar manufacturing industries. Knowledge of fabrication, welding, machining, assembly, or custom manufacturing processes. Experience supporting engineer-to-order (ETO) or configure-to-order manufacturing environments. Strong understanding of ISO 9001 standards and audit processes. Lean Manufacturing, Six Sigma, ASQ, or related quality certifications. What Success Looks Like Reduced defects, scrap, rework, and customer quality issues. Improved audit results and corrective action performance. Strong quality systems and organizational compliance. Increased customer satisfaction and operational performance. Development of a high-performing quality organization that supports business growth. ## Additional Information Why Join Us? This is an opportunity to play a key leadership role in shaping quality strategy and driving operational excellence within a growing manufacturing organization. You'll have the ability to influence company-wide initiatives, build strong teams, and make a measurable impact on product quality and customer satisfaction.", "summaryDescription" : "Director of Quality. Skills: Quality strategy, Quality systems, Continuous improvement, Team leadership. Develop and execute quality vision, strategy, and objectives. 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За 5 років наші продукти завантажили понад 250М разів. Були № 1 в USA App Store, отримали Google Play’s Best App та залучили інвестиції від A", "summaryDescription" : "Data Quality Analyst at Reface. Make data foundation stronger. Make data foundation more reliable", "createdAt" : "2026-06-14T18:37:53.793", "lastUpdated" : "2026-06-16T05:41:40.242", "ingestTimestamp" : "2026-06-14T18:37:53.793", "mongoId" : "6a0f4f6858b93c861e04fe65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 428.24878, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c691174d8ee00a0905dbc", "title" : "Cost Accountant", "company" : "T1 Energy", "industry" : "Accounting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Cost Accountant in Austin, United States, adjusted for the manufacturing industry and company size." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-15T04:52:47.546", "fingerprint" : "95cd15ed8dc8cbbf04e237380fc87bad613d07cd910e5b13b6d9d201d17c68bc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/t1energy/22b27220-0537-4af2-8c3f-16521ad646ff/application", "externalId" : "22b27220-0537-4af2-8c3f-16521ad646ff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle", "professionalSkills" : [ "Cost accounting", "Financial analysis", "Process improvement", "Inventory accounting", "Standard costing", "Variance analysis", "Financial controls", "Business analysis" ], "hardSkillsList" : [ "GAAP", "Cost roll-ups", "Inventory valuation", "Cycle counts", "Physical inventories", "Journal entries", "Reconciliations" ], "softSkillsList" : [ "Detail-driven", "Structured", "Organized", "Disciplined", "Calm", "Effective", "Continuous improvement thinker" ], "hardSkills" : [ { "name" : "GAAP", "level" : "intermediate" }, { "name" : "Cost roll-ups", "level" : "intermediate" }, { "name" : "Inventory valuation", "level" : "intermediate" }, { "name" : "Cycle counts", "level" : "intermediate" }, { "name" : "Physical inventories", "level" : "intermediate" }, { "name" : "Journal entries", "level" : "intermediate" }, { "name" : "Reconciliations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Detail-driven" }, { "name" : "Structured" }, { "name" : "Organized" }, { "name" : "Disciplined" }, { "name" : "Calm" }, { "name" : "Effective" }, { "name" : "Continuous improvement thinker" } ], "majorSkills" : "Cost accounting, Manufacturing finance, Inventory management", "majorSkillsList" : [ "Cost accounting", "Manufacturing finance", "Inventory management" ], "coreResponsibilities" : "Maintain product costs, Analyze product costs, Maintain manufacturing costs, Analyze manufacturing costs, Analyze material costs, Analyze labor costs, Analyze overhead costs, Analyze variances, Perform standard cost maintenance, Perform cost roll-ups, Perform variance analysis, Partner with operations, Partner with supply chain, Understand cost drivers, Improve cost visibility, Own inventory accounting, Ensure accurate inventory valuation, Support cycle counts, Support physical inventories, Reconcile inventories, Investigate inventory variances, Document inventory adjustments, Analyze inventory variances, Drive root cause resolution, Record manufacturing transactions, Support month-end close, Improve month-end close, Prepare cost journal entries, Review cost journal entries, Prepare reconciliations, Review reconciliations, Prepare supporting schedules, Review supporting schedules, Assist in management reporting, Establish cost accounting best practices, Document cost accounting best practices, Identify process improvements, Implement process improvements, Streamline accounting workflows, Strengthen controls, Support system enhancements, Support process enhancements, Serve as finance partner, Provide financial insights, Support operational decision-making, Assist with special projects", "teamCollaboration" : "Work with plant operations; Work with supply chain; Work with corporate finance; Partner with GM; Cross-functional work", "domainKnowledge" : "Manufacturing cost structures; GAAP; Standard costing; Inventory valuation", "domainList" : [ "manufacturing-cost-structures", "gaap", "standard-costing", "inventory-valuation" ], "domainSpecificKnowledge" : [ "Manufacturing cost structures", "GAAP", "Standard costing", "Inventory valuation" ], "toolProficiency" : [ "Oracle" ], "communicationSkills" : "Translate financial results", "documentationSkills" : "Process documentation; SOP development", "problemSolvingSkills" : "Root cause resolution", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "5+ years cost accounting, Manufacturing environment experience, Oracle costing experience, Oracle inventory experience, Oracle general ledger experience, Manufacturing cost structures understanding, Variance analysis understanding, Process documentation experience, SOP development experience", "qualificationsPreferred" : "Bachelor's in Accounting preferred, CPA preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "T1 Energy is bringing solar manufacturing back to the U.S. by building a domestic solar supply chain. Our mission is to invigorate America with scalable, reliable, and low-cost energy. Our fully operational 5GW solar module facility in Wilmer, Texas, can manufacture more than 20,000 modules every 24 hours. By the time you finish reading this paragraph, we will have produced two solar panels that will power American homes and fuel domestic AI. We're focused on building advanced American manufacturing and we're passionate about engineering a better future filled with abundant energy. The Role T1 Energy is looking to hire an experienced Cost Accountant to be based at our Austin, TX HQ with occasional travel to our facility in Wilmer, TX. This is a hands-on, critical role for someone who thrives on the plant floor as much as they do in the numbers, managing and improving manufacturing cost accounting processes, strengthening financial controls, and helping drive a faster, more efficient monthly close. You'll work closely with plant operations, supply chain, and corporate finance, while also serving as a key finance partner to the GM for ad hoc accounting and financial analysis. If you're a proactive, process-minded accountant who loves the complexity of manufacturing cost structures and isn't afraid to roll up your sleeves and build something better, this role is for you. What You'll Do Cost Accounting & Inventory - Maintain and analyze product and manufacturing costs, including materials, labor, overhead, and variances. - Perform standard cost maintenance, cost roll-ups, and variance analysis within Oracle. - Partner with operations and supply chain to understand cost drivers and improve cost visibility across the plant. - Own inventory accounting for raw materials, work in process (WIP), and finished goods at the plant level. - Ensure accurate inventory valuation in accordance with GAAP, including standard costing, inventory reserves, and period-end adjustments. - Support cycle counts and physical inventories, including planning, reconciliation, variance investigation, and adjustment documentation. - Analyze inventory variances — usage, yield, scrap, and obsolescence — and partner with operations to drive root cause resolution. - Ensure accurate and timely recording of manufacturing transactions. Month-End Close & Reporting - Support and continuously improve the month-end close process with a focus on speed, accuracy, and transparency. - Prepare and review cost-related journal entries, reconciliations, and supporting schedules. - Assist in management reporting related to plant performance, margins, and operational KPIs. Process Improvement & Best Practices - Help establish and document cost accounting best practices in a growing manufacturing environment. - Identify and implement process improvements to streamline accounting workflows and strengthen controls. - Support system and process enhancements related to Oracle and manufacturing finance. Plant & General Manager Support - Serve as a finance partner to the Plant General Manager on ad hoc accounting, financial analysis, and business questions. - Provide financial insights to support operational decision-making at the plant level. - Assist with special projects related to continuous improvement initiatives. Who You Are - Technically sharp and grounded in GAAP — you know the rules and know when something isn't right. - Detail-driven without losing sight of the bigger picture and what the numbers mean for the business. - Structured, organized, and disciplined in execution, especially when the close is bearing down. - A clear communicator who can translate financial results into insights that operations leaders can actually act on. - Calm and effective in fast-paced, evolving environments — manufacturing moves fast and you move with it. - Comfortable working cross-functionally with operations, supply chain, and leadership at all levels. - A continuous improvement thinker who sees every manual process as an opportunity. Qualifications - Bachelor's degree in Accounting or Finance; CPA preferred. - 5+ years of relevant experience in cost accounting within a manufacturing environment. - Hands-on experience with Oracle, specifically costing, inventory, and general ledger modules. - Strong understanding of manufacturing cost structures and variance analysis. - Ability to work effectively on-site in a fast-paced plant environment. - Strong process documentation and SOP development experience. The T1 Way We move fast, expect accountability, and treat people with respect. We also have a no-jerks policy: we don't tolerate big egos, bad behavior or \"that's not my job attitude\". Be sharp, be honest, be human. If you can hold the line and have a sense of humor, you'll fit right in. T1 Energy is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants and do not discriminate on the basis of any legally protected characteristics.", "summaryDescription" : "Cost Accountant at T1 Energy. Skills: Cost accounting, Manufacturing finance, Inventory management. Maintain product costs. Analyze product costs", "createdAt" : "2026-06-14T04:00:40.273", "lastUpdated" : "2026-06-15T04:52:47.546", "ingestTimestamp" : "2026-06-14T04:00:40.273", "mongoId" : "6a2c691174d8ee00a0905dbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "GAAP", "Cost roll-ups", "Inventory valuation", "Cycle counts", "Physical inventories", "Journal entries", "Reconciliations", "Detail-driven", "Structured", "Organized", "Disciplined", "Calm", "Effective", "Continuous improvement thinker", "Cost accounting", "Manufacturing finance", "Inventory management", "Financial analysis", "Process improvement", "Inventory accounting", "Standard costing", "Variance analysis", "Financial controls", "Business analysis", "Manufacturing cost structures", "Oracle" ], "skillCount" : 26, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 428.17587, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306647f292fd229cfafc8d", "title" : "Lead Product Manager, Data and AI", "company" : "Lyra Health", "industry" : "Product", "salary" : { "min" : 161000.0, "max" : 221500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T11:46:32.032", "fingerprint" : "7be737cc8ee8a6035793f5d2e69d5f06381cd02b4aff658c15d77ee3e54d1515", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lyrahealth/e3d731e8-eea0-4ae4-bd9a-5624b91ca129/apply", "externalId" : "e3d731e8-eea0-4ae4-bd9a-5624b91ca129", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "remoteFriendly" : true, "rawDescription" : "## Description About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. ## Responsibilities Product Vision & Strategy: Define and champion a compelling multi-year product vision and roadmap for data and AI platforms, aligning technical milestones with Lyra's business growth, revenue objectives, and clinical goals. GenAI & Modern Lifecycle Management: Drive high-impact opportunities leveraging generative AI, Large Language Models (LLMs), agentic AI, and advanced analytics, managing the entire lifecycle from ideation and rapid experimentation to scalable production deployment. Cross-Functional Leadership: Collaborate extensively across complex matrixed stakeholder groups—including Product, Design, Engineering, Clinical Quality, and GTM teams—to embed smart AI capabilities directly into core member experiences and operations. Responsible AI & Governance: Partner closely with Legal, Privacy, and Clinical leadership to maintain rigorous responsible AI practices Impact Metrics & Optimization: Design robust measurement and experimentation frameworks (such as online controlled A/B testing) to track model effectiveness, quantify business outcomes, and evaluate trade-offs between tactical execution and long-term research. Technical Team Collaboration: Translate unstructured business pain points into crisp, detailed product requirements, acting as a translator between highly technical data disciplines and non-technical business leaders. Mentorship & Culture: Lead by example, mentoring junior team members, sharing technical product management best practices, and actively fostering a highly rigorous, data-driven culture across the product organization. ## Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related highly quantitative field. Product Experience: 8+ years (Lead PM) of progressive product management experience within successful enterprise SaaS, cloud-based software, or health tech organizations, with a proven history of launching large-scale products with complex dependencies. Data & AI Expertise: 3+ years of direct experience shipping machine learning and data-driven products at scale. Deep understanding of modern machine learning algorithms, deep learning techniques, generative AI use cases, and the infrastructure needed to deploy LLMs contextually. Communication Skills: Exceptional written and verbal communication, narrative storytelling, and presentation skills; masterful ability to communicate complex algorithmic systems and technical trade-offs to non-technical executive teams and demanding corporate customer audiences. Strategic Execution: Proven capacity to methodically unpack ambiguity, handle competing objectives, establish clear product boundaries, and maintain a calm, execution-oriented mindset in a fast-paced, high-velocity environment. Healthcare Alignment (Nice-to-Have): Prior experience navigating a highly regulated industry (Healthcare Tech, FinTech) with an innate respect for data ethics, privacy constraints, and patient clinical quality. ## Additional Information \"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.\"", "summaryDescription" : "Lead Product Manager, Data and AI at Lyra Health. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T02:55:35.385", "createdAt" : "2026-06-15T02:55:35.385", "lastUpdated" : "2026-06-16T11:46:32.032", "ingestTimestamp" : "2026-06-16T03:24:16.833", "mongoId" : "6a306647f292fd229cfafc8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 161000, "salaryAnnualMax" : 221500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 426.6445, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a191e7758b93c861e39f7f2", "title" : "Cost Analyst", "industry" : "Manufacturing", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Cost Analyst in Krakow, Poland, adjusted for the automotive industry." }, "location" : "Poland-Krakau-Krakau", "locations" : [ "Poland-Krakau-Krakau", "Aleja Pokoju 18, " ], "timestamp" : "2026-06-15T22:31:44.076", "fingerprint" : "a1d92183a991bb156122e3b1f94fe13bbd13515b1559592d7b710b44e22cd690", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=890584", "externalId" : "890584", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakau", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0469432,19.9971534" } ], "locationText" : "Krakau, Poland", "technicalSkills" : "MS Office, Excel", "professionalSkills" : [ "Process documentation", "Knowledge management", "Internal controls", "Process improvement" ], "hardSkillsList" : [ "Costing", "Valuation", "Analysis", "Reconciliation" ], "hardSkills" : [ { "name" : "Costing", "level" : "intermediate" }, { "name" : "Valuation", "level" : "intermediate" }, { "name" : "Analysis", "level" : "intermediate" }, { "name" : "Reconciliation", "level" : "intermediate" } ], "majorSkills" : "Product Costing, Process Documentation, Internal Controls", "majorSkillsList" : [ "Product Costing", "Process Documentation", "Internal Controls" ], "coreResponsibilities" : "Process incoming inquiries, Process internal queries, Process correction requirements, Ensure efficient processing, Ensure effective deputization, Take on representation tasks, Periodic valuation of vehicles, Valuation of units, Analysis of results, Reconciliation of periodic changes, Part of transition team, Operational implementation, Maintenance of process documentation, Develop process documentation, Support stable knowledge management, Interact with stakeholders, Execution of internal controls, Documentation of internal controls, Continuous improvement of processes", "teamCollaboration" : "Interact with stakeholders; Procurement; Production; Controlling", "domainKnowledge" : "Customs and tariffs", "domainList" : [ "customs-and-tariffs" ], "domainSpecificKnowledge" : [ "Customs and tariffs" ], "toolProficiency" : [ "MS Office", "Excel" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Process documentation", "qualificationsBasic" : "Experience in finance area, Experience working with customs and tariffs, English B2+", "qualificationsPreferred" : "German would be an asset, High level of accuracy, Attention to detail, Excellent communication skills, Collaborative team player attitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Product Costing Analyst, you will be responsible for processing incoming inquiries (via ticket, email, phone) and internal queries, as well as correction requirements, within defined service levels. Through independent work, excellent organizational skills, proactivity, and process-oriented thinking, you will ensure efficient processing. You will also proactively ensure effective deputization for your area of responsibility and take on representation tasks as needed. This role requires strong communication skills in both German and English. Your Responsibilities: · Periodic valuation (planned costing) of vehicles and units for series production for the Mercedes Benz VAN division - Analysis of the results and reconciliation of periodic changes · Part of the transition team for the related processes to Krakow and subsequent operational implementation · Maintenance and further develop process documentation for the transferred processes and support stable knowledge management · Interact with different stakeholders from procurement, production and controlling · Execution & documentation of internal controls (ICFR) · Continuous improvement of processes (CIP)   Experience in finance area Experience working with customs and tariffs Proficiency in MS Office, especially Excel English B2+ German would be an asset High level of accuracy and attention to detail Excellent communication skills and a collaborative team player attitude Mercedes-Benz Group Services Poland Sp. z o.o.", "summaryDescription" : "Cost Analyst. Skills: Product Costing, Process Documentation, Internal Controls. Process incoming inquiries. Process internal queries", "createdAt" : "2026-06-14T21:52:43.818", "lastUpdated" : "2026-06-15T22:31:44.076", "ingestTimestamp" : "2026-06-14T21:52:43.818", "mongoId" : "6a191e7758b93c861e39f7f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Costing", "Valuation", "Analysis", "Reconciliation", "Product Costing", "Process Documentation", "Internal Controls", "Process documentation", "Knowledge management", "Internal controls", "Process improvement", "Customs and tariffs", "MS Office", "Excel" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 426.09674, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2174d8ee00a0af5d94", "title" : "Product Data Scientist, Search", "industry" : "Technology", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Data Scientist in Mountain View, CA, adjusted for the technology industry and onsite work mode." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:16:36.045", "fingerprint" : "36cd2a2043f78816521e963407af852aa8683393795b3245ae0dcf4bd0c22e62", "source" : "google", "language" : "en", "externalId" : "106924190140900038", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "technicalSkills" : "Python, R, SQL, Machine Learning, Data Mining, Statistical Modeling, A/B Testing, Cloud Platforms, AWS, GCP, Azure, Search Relevance, Ranking Systems", "professionalSkills" : [ "Data analysis", "Problem-solving", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning modeling", "Data manipulation", "Experiment design" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Statistical Modeling, Data Analysis, Search Relevance", "majorSkillsList" : [ "Machine Learning", "Statistical Modeling", "Data Analysis", "Search Relevance" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Analyze large datasets, Conduct A/B tests, Develop metrics and dashboards, Collaborate with engineering teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product managers; Stakeholders", "domainKnowledge" : "Search relevance; Ranking algorithms; Information retrieval; User behavior analysis", "domainList" : [ "search-relevance", "ranking-algorithms", "information-retrieval", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Search relevance", "Ranking algorithms", "Information retrieval", "User behavior analysis" ], "toolProficiency" : [ "Spark", "Hadoop", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve search relevance; Enhance user experience; Drive product innovation", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale data processing systems, Experience with machine learning frameworks, Experience with cloud platforms (AWS, GCP, Azure), Experience with search relevance or ranking systems", "summaryDescription" : "Product Data Scientist, Search. Skills: Machine Learning, Statistical Modeling, Data Analysis, Search Relevance. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-16T01:48:13.922", "createdAt" : "2026-06-16T01:48:13.922", "lastUpdated" : "2026-06-16T12:16:36.045", "ingestTimestamp" : "2026-06-16T01:48:13.922", "mongoId" : "6a210e2174d8ee00a0af5d94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning modeling", "Data manipulation", "Experiment design", "Machine Learning", "Statistical Modeling", "Data Analysis", "Search Relevance", "Data analysis", "Problem-solving", "Quantitative analysis", "Search relevance", "Ranking algorithms", "Information retrieval", "User behavior analysis", "Spark", "Hadoop", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Looker" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 421.3953, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305640f292fd229cf264f5", "title" : "Senior Product Data Scientist", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Product Data Scientist in Barcelona, Spain, adjusted for the e-commerce industry and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T09:25:51.107", "fingerprint" : "8c310e76553fb842efef88827cd874ad2680229fa565cc59a4637e3cddb8113f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132161891-senior-product-data-scientist", "externalId" : "744000132161891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, Pandas, SciPy, Seaborn, Jupyter, IPython, Tableau, Looker, PowerBI, Machine Learning, Deep Learning, Reinforcement Learning, Game Theory, Statistical Inference, Bayesian Statistics, Causal Inference, Time Series Analysis, Decision Theory, Mathematical Optimisation, Supervised Learning, Unsupervised Learning", "professionalSkills" : [ "Quantitative analysis", "Product development", "Data-driven insights", "Decision-making", "Agile methodologies" ], "hardSkillsList" : [ "Statistical modeling", "Advanced analytics", "Experiment design", "Experiment analysis" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" } ], "majorSkills" : "Product Data Science, Machine Learning, Statistical Modeling", "majorSkillsList" : [ "Product Data Science", "Machine Learning", "Statistical Modeling" ], "coreResponsibilities" : "Leverage advanced statistical modeling, Leverage machine learning techniques, Solve product problems, Solve business problems, Work closely with multi-disciplinary teams, Define product roadmap, Define product strategy, Monitor product metrics, Monitor product KPIs, Give visibility of product metrics, Give visibility of product KPIs, Drive product discovery, Formulate data-driven hypotheses, Convert hypotheses into analysis, Convert hypotheses into actionable insights, Own analytics tasks end to end, Foster relationships with stakeholders, Act as strategic link, Act as supportive link", "teamCollaboration" : "Multi-disciplinary teams; Technology; Business; Product", "projectManagementSkills" : [ "Agile methodologies", "Roadmap" ], "domainKnowledge" : "Digital product development", "domainList" : [ "digital-product-development" ], "domainSpecificKnowledge" : [ "Digital product development" ], "toolProficiency" : [ "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "continuousLearning" : "External learning budget", "problemSolvingSkills" : "Data-driven hypotheses; Actionable insights", "qualificationsBasic" : "6+ years of professional experience, Higher education in scientific discipline, Knowledge and experience in digital product development, Demonstrable experience with statistical modeling, Deep theoretical and applied knowledge in ML/statistics, Good understanding of software development, Mastery in SQL, Mastery in statistical programming (Python), Experience working with Pandas, Experience working with SciPy, Experience working with Seaborn, Experience working with Jupyter/iPython notebooks, Demonstrated experience in designing experiments, Demonstrated experience in analyzing experiments, Knowledge of visualization tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. YOUR MISSION As a part of the data organization you will work to ensure customers have an excellent experience when ordering through the Glovo app. You will work on problems related to recommendations, pricing, customer retention and more. You will be responsible for nurturing a strong experimentation culture, work on discoveries that drive the product roadmap and build solutions that impact millions of customers. THE JOURNEY Be part of a team where you will: * Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact. * Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs. * Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights. * Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses. * Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. ## Qualifications WHAT YOU WILL BRING TO THE RIDE Requirements: * 6+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams * A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics. * Knowledge and experience in digital product development and working with diverse stakeholders * Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making * Deep theoretical and applied knowledge in at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation * Good understanding of software development and agile methodologies * Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks * Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc) * Knowledge of visualization tools like Tableau, Looker, PowerBI * Excellent spoken and written English Individuals representing diverse profiles, encompassing various [genders](https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified), ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan (dependent on level) that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Wellhub membership to keep you energised. * \uD83C\uDFD6️Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. * \uD83D\uDCDA An external learning budget to fuel your thirst for knowledge and personal growth. Here in Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and checking out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [LinkedIn](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "Senior Product Data Scientist at Delivery Hero. Skills: Product Data Science, Machine Learning, Statistical Modeling. Leverage advanced statistical modeling. Leverage machine learning techniques", "postedDate" : "2026-06-15T10:09:07.000", "createdAt" : "2026-06-15T23:41:51.034", "lastUpdated" : "2026-06-16T09:25:51.107", "ingestTimestamp" : "2026-06-15T23:41:51.034", "mongoId" : "6a305640f292fd229cf264f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Advanced analytics", "Experiment design", "Experiment analysis", "Product Data Science", "Machine Learning", "Statistical Modeling", "Quantitative analysis", "Product development", "Data-driven insights", "Decision-making", "Agile methodologies", "Roadmap", "Digital product development", "Tableau", "Looker", "PowerBI", "Pandas", "SciPy", "Seaborn", "Jupyter", "IPython" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 419.65472, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c952574d8ee00a098c5e0", "title" : "Cost Engineer", "company" : "Goodman", "industry" : "Real Estate", "salary" : { "min" : 38000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Cost Engineer in Paris, France, adjusted for the Real Estate industry and company size." }, "location" : "Paris, France", "locations" : [ "Paris", "France", "Paris", "France" ], "timestamp" : "2026-06-16T00:50:07.593", "fingerprint" : "cc15e5b2ba1b9e3af404f6f0c438ee64aca0f4f347efd91f2b57d73e4a509aff", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ce.goodman.com/about-goodman/careers/job-vacancies?gh_jid=8574572002", "externalId" : "8574572002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Cost reporting", "Financial reporting", "Cost management", "Value management" ], "hardSkillsList" : [ "Construction cost management", "Real estate development" ], "hardSkills" : [ { "name" : "Construction cost management", "level" : "intermediate" }, { "name" : "Real estate development", "level" : "intermediate" } ], "majorSkills" : "Cost reporting, Financial reporting, Cost management", "majorSkillsList" : [ "Cost reporting", "Financial reporting", "Cost management" ], "coreResponsibilities" : "Build foundation in cost reporting, Generate insights, Support decision making, Develop expertise in construction cost management, Develop expertise in value management", "teamCollaboration" : "Work with senior stakeholders; Work with contractors; Work with project teams", "domainKnowledge" : "Data centre development; Real estate development", "domainList" : [ "data-centre-development", "real-estate-development" ], "domainSpecificKnowledge" : [ "Data centre development", "Real estate development" ], "problemSolvingSkills" : "Analytical thinking", "qualificationsPreferred" : "Prior cost or financial modelling", "remoteFriendly" : false, "rawDescription" : "Always wanted to challenge the obvious and make great things happen? At Goodman we create space for your greatness. Join our France Development team and play a key role in the commercial management and cost reporting on a portfolio of major data centre projects as our Cost Engineer. You will be embedded in an ambitious, fast-moving environment where attention to detail, analytical thinking and initiative make a real difference. This role offers exceptional hands-on exposure across some of Europe’s most prominent, large-scale data centre developments. You will work closely with senior stakeholders, contractors, and project teams, gaining re al-world experience across the entire development lifecycle — from early feasibility through to delivery. This is a unique opportunity for a motivated junior profile to grow hands-on experience in construction cost management, financial reporting, and real estate development at scale. This role is structured around three interconnected responsibility domains, reflecting the expected growth path of the successful candidate. You will begin by building a solid foundation in cost reporting, progressively generate insights and support-decision making, and ultimately develop hands-on expertise in construction cost and value management as your confidence and knowledge of the projects deepen. More concretely, this means you will get the opportunity to: Cost Reporting prior exposure to cost or financial modelling is a plus Proactive, detail-oriented and able to manage multiple tasks in a dynamic project environment Genuine interest in construction, data centre development or real estate — project-driven mindset Good interpersonal skills and the ability to work collaboratively across teams Not sure if you fit the profile? Let’s find out together! But first, let us introduce ourselves a little more: Goodman Group is a provider of essential infrastructure. We own, develop and manage high quality, sustainable logistics properties and data centers in major global cities, that are critical to the digital economy. Goodman operates in key consumer markets in 15 countries across Asia Pacific, Europe and the Americas. We are the largest property group listed on the Australian Securities Exchange and invest significantly alongside our capital partners in our investment Partnerships. Our Continental European headquarter is based in Belgium and we are active in 7 European countries, including offices in Amsterdam, Brussels, Düsseldorf, Hamburg, Frankfurt, Munich, Luxembourg, Madrid, Barcelona, Milan and Paris. Our culture is based on collaboration, ownership and seizing the opportunity. We take full responsibility for our work, support each other’s success and make room for growth for everyone. How do we look at the world of tomorrow? At Goodman we believe we all have a role to play in safeguarding the future for next generations. Therefore, sustainability is the driving force behind everything we do. Not only do we foster a sustainable and inclusive working environment for all our employees but also, throughout all our projects, we are continuously engaged in a process to assess its sustainability. Each aspect of the properties’ lifecycle is scrutinized on its future proofness for decades to come, resulting in a low ecological footprint over time. At Goodman, we believe it’s not enough to talk the talk — we also need to walk the walk.", "summaryDescription" : "Cost Engineer at Goodman. Skills: Cost reporting, Financial reporting, Cost management. Build foundation in cost reporting. Generate insights", "postedDate" : "2026-06-14T18:39:03.420", "createdAt" : "2026-06-14T18:39:03.420", "lastUpdated" : "2026-06-16T00:50:07.593", "ingestTimestamp" : "2026-06-14T18:39:03.420", "mongoId" : "6a2c952574d8ee00a098c5e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Construction cost management", "Real estate development", "Cost reporting", "Financial reporting", "Cost management", "Value management", "Data centre development" ], "skillCount" : 7, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 419.1019, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305119f292fd229cefa47f", "title" : "Senior Product Data Analyst", "industry" : "Analyst", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Data Analyst in Canada, adjusted for the FinTech industry and senior experience level." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T13:22:05.668", "fingerprint" : "e12abb8e675b2960455416147e3ff768326f68e744ce85c77d3783e7c43fab63", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/3c0fd066-f522-42e4-8b94-9eb914bfb27b/apply", "externalId" : "3c0fd066-f522-42e4-8b94-9eb914bfb27b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Looker, Tableau", "professionalSkills" : [ "Decision science", "Analytical approaches", "Analytical models", "Analytical initiatives", "Product strategy", "Business challenges", "Business objectives", "Business decisions", "Business problems", "Roadmap decisions", "Strategic priorities" ], "hardSkillsList" : [ "Statistical analysis", "Experimentation", "Modeling", "Data exploration", "Data-driven insights", "Structured analytical approaches", "Analytical models", "Pricing optimization", "Conversion optimization", "Transactional datasets", "Behavioral datasets" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Data exploration", "level" : "intermediate" }, { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Structured analytical approaches", "level" : "intermediate" }, { "name" : "Analytical models", "level" : "intermediate" }, { "name" : "Pricing optimization", "level" : "intermediate" }, { "name" : "Conversion optimization", "level" : "intermediate" }, { "name" : "Transactional datasets", "level" : "intermediate" }, { "name" : "Behavioral datasets", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Decision science, Data science, SQL, Python, Experiment design", "majorSkillsList" : [ "Product analytics", "Decision science", "Data science", "SQL", "Python", "Experiment design" ], "coreResponsibilities" : "Partner with teams to shape product strategy, Translate business challenges into analytical approaches, Lead analytical initiatives, Define problems, Build models, Develop recommendations, Implement recommendations, Align with business objectives, Achieve measurable outcomes, Develop analytical models, Optimize trade-offs, Design experiments, Execute experiments, Evaluate experiments, Identify product opportunities, Identify operational inefficiencies, Identify strategic insights, Present insights, Present recommendations, Influence roadmap decisions, Influence strategic priorities", "teamCollaboration" : "Partner with Product; Partner with Engineering; Partner with Finance; Partner with GTM teams; Influence senior Product leaders; Influence senior Engineering leaders", "projectManagementSkills" : [ "Analytical initiatives" ], "domainKnowledge" : "Product-driven environment; Fintech environment; Large-scale transactional datasets; Behavioral datasets", "domainList" : [ "product-driven-environment", "fintech-environment", "large-scale-transactional-datasets", "behavioral-datasets" ], "domainSpecificKnowledge" : [ "Product-driven environment", "Fintech environment", "Large-scale transactional datasets", "Behavioral datasets" ], "toolProficiency" : [ "Looker", "Tableau" ], "communicationSkills" : "Executive-ready insights; Actionable recommendations", "continuousLearning" : "Professional development; Training opportunities", "problemSolvingSkills" : "Structured analytical approaches; Translate ambiguous business problems", "outcomesObjectives" : "Measurable outcomes; Optimize trade-offs; Influence roadmap decisions; Influence strategic priorities", "qualificationsBasic" : "Advanced SQL skills, Proficiency in Python, Experience designing experiments, Experience building analytical frameworks, Ability to translate ambiguous business problems, Stakeholder management skills, Communication skills, Experience with BI tools, Experience with data visualization tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Partner with Product, Engineering, Finance, and GTM teams to shape product strategy through data-driven insights and decision frameworks, translating complex business challenges into structured analytical approaches. Lead end-to-end analytical initiatives, from problem definition and modeling to recommendations and implementation, ensuring alignment with business objectives and measurable outcomes. Develop and apply analytical models to optimize trade-offs across pricing, risk, conversion, profitability, and customer experience. Design, execute, and evaluate experiments, including A/B testing and pricing/conversion optimization initiatives. Identify product opportunities, operational inefficiencies, and strategic insights from large-scale transactional and behavioral datasets. Present executive-ready insights and recommendations that influence roadmap decisions and strategic priorities. Requirements: Strong experience in product analytics, decision science, or data science within a product-driven or fintech environment. Advanced SQL skills and strong ability to work with large-scale transactional or product datasets. Proficiency in Python for statistical analysis, experimentation, modeling, or data exploration. Experience designing experiments and building analytical frameworks that support product and business decisions. Ability to translate ambiguous business problems into structured analyses and actionable recommendations. Strong stakeholder management and communication skills, with the ability to influence senior Product and Engineering leaders. Experience with BI and data visualization tools such as Looker, Tableau, or similar platforms. Benefits: Flexible work environment supporting autonomy and work-life balance. Competitive compensation with equity participation opportunities. Comprehensive health, dental, and wellness benefits. Pension/RRSP contributions to support long-term financial security. Flexible paid time off and supportive parental leave policies. Professional development and training opportunities to accelerate career growth. Wellness and health credits to support physical and mental well-being. Volunteer days and community engagement initiatives. Employee programs including social clubs, interest groups, and team activities. Equipment and home-office support programs to enhance remote work setup. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Product Data Analyst. Skills: Product analytics, Decision science, Data science, SQL, Python, Experiment design. Partner with teams to shape product strategy. Translate business challenges into analytical approaches", "postedDate" : "2026-06-15T12:24:21.012", "createdAt" : "2026-06-15T12:24:21.012", "lastUpdated" : "2026-06-16T13:22:05.668", "ingestTimestamp" : "2026-06-16T03:21:30.760", "mongoId" : "6a305119f292fd229cefa47f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Experimentation", "Modeling", "Data exploration", "Data-driven insights", "Structured analytical approaches", "Analytical models", "Pricing optimization", "Conversion optimization", "Transactional datasets", "Behavioral datasets", "Product analytics", "Decision science", "Data science", "SQL", "Python", "Experiment design", "Analytical approaches", "Analytical initiatives", "Product strategy", "Business challenges", "Business objectives", "Business decisions", "Business problems", "Roadmap decisions", "Strategic priorities", "Product-driven environment", "Fintech environment", "Large-scale transactional datasets", "Looker", "Tableau" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 417.51013, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d7c74d8ee00a09791d3", "title" : "Data Quality Engineer", "company" : "Gradera", "industry" : "AI Native - Delivery", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Quality Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, India Office ", "locations" : [ "Hyderabad, India Office " ], "timestamp" : "2026-06-15T13:00:41.110", "fingerprint" : "15fbb2cdafb5e0770570b9f5661a2a7bdac3113e09ab8f0e6c03c6e76f886ed0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gradera/13c8109f-9ec9-4026-ba28-362313ca1ff8/application", "externalId" : "13c8109f-9ec9-4026-ba28-362313ca1ff8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Delta Live Tables, Great Expectations, Databricks SQL, PySpark, Unity Catalog, Python, Delta Lake, Iceberg, Neo4j", "professionalSkills" : [ "Data profiling", "Root cause analysis", "Data governance" ], "hardSkillsList" : [ "Data validation", "Anomaly detection", "Statistical analysis" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Data quality, Data engineering, ML/AI platforms", "majorSkillsList" : [ "Data quality", "Data engineering", "ML/AI platforms" ], "coreResponsibilities" : "Design data quality frameworks, Implement data quality frameworks, Build automated validation pipelines, Enforce quality standards, Develop data profiling processes, Understand data distributions, Understand data patterns, Understand data anomalies, Define data quality metrics, Track data quality metrics, Implement anomaly detection mechanisms, Identify data drift, Identify quality degradation, Create quality dashboards, Create alerting systems, Collaborate with data engineers, Embed quality checks, Partner with data architects, Establish data quality standards, Establish governance policies, Investigate data quality issues, Perform root cause analysis, Document data quality rules, Document thresholds, Document remediation procedures, Support data certification processes, Drive continuous improvement", "teamCollaboration" : "Data engineers; Data architects; Cross-functional teams", "domainKnowledge" : "Digital twin platforms; Simulation platforms; Operational state data; Temporal consistency; Graph data; ML data quality; Industrial domains", "domainList" : [ "digital-twin-platforms", "simulation-platforms", "operational-state-data", "temporal-consistency", "graph-data", "ml-data-quality", "industrial-domains" ], "domainSpecificKnowledge" : [ "Digital twin platforms", "Simulation platforms", "Operational state data", "Temporal consistency", "Graph data", "ML data quality", "Industrial domains" ], "toolProficiency" : [ "Delta Live Tables", "Great Expectations", "Databricks", "Unity Catalog", "Neo4j" ], "documentationSkills" : "Document data quality rules; Document thresholds; Document remediation procedures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Simulation-ready data products; ML-ready datasets", "qualificationsBasic" : "6+ years experience, 3+ years data quality, Data quality frameworks, Automated validation pipelines, Quality metrics, SQL proficiency, Python proficiency", "qualificationsPreferred" : "6+ years experience, 3+ years data quality, Enterprise-scale data quality frameworks, Lakehouse architectures, Real-time data quality monitoring, Agile, cross-functional teams, Data quality for digital twin, Simulation platforms, Operational state data validation, Temporal consistency checks, Graph data quality validation, ML data quality, Feature validation, Training data quality, Data observability platforms, Industrial domains experience", "rawDescription" : "ABOUT GRADERA Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes. OVERVIEW We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. KEY RESPONSIBILITIES - Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations - Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages - Develop data profiling processes to understand data distributions, patterns, and anomalies - Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) - Implement anomaly detection mechanisms to identify data drift and quality degradation - Create quality dashboards and alerting systems for proactive issue identification - Collaborate with data engineers to embed quality checks into ETL/ELT pipelines - Partner with data architects to establish data quality standards and governance policies - Investigate and perform root cause analysis for data quality issues - Document data quality rules, thresholds, and remediation procedures - Support data certification processes for simulation-ready and ML-ready datasets - Drive continuous improvement in data quality practices and tooling OUR CORE DATA QUALITY STACK INCLUDES: Data Quality Frameworks - Delta Live Tables expectations for declarative quality enforcement - Great Expectations for comprehensive data validation - Databricks data profiling and quality monitoring Platform & Tools - Databricks SQL and PySpark for quality checks at scale - Unity Catalog for lineage tracking and governance compliance - Python for custom validation logic and anomaly detection OBSERVABILITY - Quality metrics dashboards and alerting - Data profiling and statistical analysis - Anomaly detection and drift monitoring PREFERRED QUALIFICATIONS - 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality - Track record of implementing enterprise-scale data quality frameworks - Experience with Lakehouse architectures (Delta Lake, Iceberg) - Familiarity with real-time data quality monitoring for streaming pipelines - Experience working in agile, cross-functional teams HIGHLY DESIRABLE - Experience with data quality for digital twin or simulation platforms - Familiarity with operational state data validation and temporal consistency checks - Experience with graph data quality validation (Neo4j or similar) - Exposure to ML data quality (feature validation, training data quality) - Experience with data observability platforms - Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus", "summaryDescription" : "Data Quality Engineer at Gradera. Skills: Data quality, Data engineering, ML/AI platforms. Design data quality frameworks. Implement data quality frameworks", "createdAt" : "2026-06-13T23:13:08.257", "lastUpdated" : "2026-06-15T13:00:41.110", "ingestTimestamp" : "2026-06-13T23:13:08.257", "mongoId" : "6a2c8d7c74d8ee00a09791d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data validation", "Anomaly detection", "Statistical analysis", "Data quality", "Data engineering", "ML/AI platforms", "Data profiling", "Root cause analysis", "Data governance", "Digital twin platforms", "Simulation platforms", "Operational state data", "Temporal consistency", "Graph data", "ML data quality", "Industrial domains", "Delta Live Tables", "Great Expectations", "Databricks", "Unity Catalog", "Neo4j" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 417.17142, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3056cdf292fd229cf2efee", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Head of Product Analytics in Sofia, Bulgaria, adjusted for executive seniority in the FinTech industry." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:17:38.799", "fingerprint" : "31931155a623eb40f0145201f95653980a5a6866329d5254f5e2d74722003532", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7773338003", "externalId" : "7773338003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Experiment design", "Causal inference", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Product Analytics, Data Science, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Product Analytics", "Data Science", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain analytics dashboards, Build and optimize data pipelines, Perform complex data analysis, Design and implement A/B tests, Develop predictive models, Collaborate with product teams, Communicate insights to stakeholders, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Financial services; Payment systems; Customer behavior analysis", "domainList" : [ "financial-services", "payment-systems", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Financial services", "Payment systems", "Customer behavior analysis" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Translate insights", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "qualificationsBasic" : "5+ years experience in analytics, SQL proficiency, Experience with Python or R, Experience with BI tools", "qualificationsPreferred" : "Advanced degree in quantitative field, Experience with cloud platforms, Experience with ML frameworks, Experience with data warehousing", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: The gross annual salary for this position ranges from €104,000 to €130,000 depending on your skills, and experience. But we are also open to discussing the salary further, taking into account your expertise and contributions. MELP - flexible benefit app (50 EUR per month accruing) (does not include Health Insurance) 25 days paid annual leave 3 paid days off for volunteering or L&D activities Parental Leave days (according to statutory) Family-Friendly Leave (according to statutory + extended from Tide) Personal L&D budget in the amount of 500 EUR per year Mental wellbeing platform Plumm WFH equipment allowance Sabbatical Leave Share options Team Events TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Product Analytics, Data Science, Machine Learning, Business Intelligence. Develop and maintain analytics dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:20:52.716", "createdAt" : "2026-06-15T23:20:52.716", "lastUpdated" : "2026-06-16T09:17:38.799", "ingestTimestamp" : "2026-06-15T23:20:52.716", "mongoId" : "6a3056cdf292fd229cf2efee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Data visualization", "Product Analytics", "Data Science", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Experiment design", "Causal inference", "Business acumen", "Financial services", "Payment systems", "Customer behavior analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 416.15198, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69fd301c4c40e2acd1b225b8", "title" : "Cost Estimator", "company" : "Pyrovio", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Cost Estimator in Pittsburgh, United States, within the Utilities industry, adjusted for company size and full-time employment." }, "location" : "Pittsbugh, PA", "locations" : [ "Pittsbugh", "PA" ], "timestamp" : "2026-06-16T05:25:23.903", "fingerprint" : "cab064d0ee26d369e2343d229cad1ce64bb472bc4538e71c10d7850cce68ed27", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://pyrovio.breezy.hr/p/c63137774a0a-cost-estimator", "externalId" : "c63137774a0a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Cost estimation" ], "majorSkills" : "Cost estimation", "majorSkillsList" : [ "Cost estimation" ], "coreResponsibilities" : "Generate parametric estimates, Generate detailed estimates, Support scope of work", "teamCollaboration" : "Collaborate with project teams", "domainKnowledge" : "Utilities industry", "domainList" : [ "utilities-industry" ], "domainSpecificKnowledge" : [ "Utilities industry" ], "qualificationsBasic" : "Experience in utilities, Estimate development for capital projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Pyrovio is seeking to employ a professional cost estimator with experience in utilities to estimate development for capital projects. The individual will be responsible for generating parametric and detailed estimates to support the scope of work of a project. Responsibilities: Collaborate with pr", "summaryDescription" : "Cost Estimator at Pyrovio. Skills: Cost estimation. Generate parametric estimates. Generate detailed estimates", "createdAt" : "2026-06-14T21:47:32.343", "lastUpdated" : "2026-06-16T05:25:23.903", "ingestTimestamp" : "2026-06-14T21:47:32.343", "mongoId" : "69fd301c4c40e2acd1b225b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Cost estimation", "Utilities industry" ], "skillCount" : 2, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 413.64957, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305148f292fd229cefdcba", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Head of Product Analytics in Sofia, Bulgaria, adjusted for executive seniority in the FinTech industry." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:34:48.179", "fingerprint" : "3fa85252a780f7a5d2808dd7365375c6e25a9a99ab3dd1cf4f7630276001beda", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7773338003", "externalId" : "7773338003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Statistical analysis", "Data modeling", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize data pipelines, Design and implement ML models, Create dashboards and reports, Perform statistical analysis, Conduct A/B tests, Collaborate with stakeholders, Mentor junior analysts", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Financial services; Payment systems", "domainList" : [ "financial-services", "payment-systems" ], "domainSpecificKnowledge" : [ "Financial services", "Payment systems" ], "toolProficiency" : [ "Dbt", "Airflow", "MLflow" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Data dictionaries; Model documentation", "continuousLearning" : "Attend conferences; Online courses", "innovationCreativity" : "Explore new technologies; Develop novel solutions", "problemSolvingSkills" : "Root cause analysis; Data interpretation", "outcomesObjectives" : "Drive data-informed decisions; Improve product performance; Enhance customer experience", "qualificationsBasic" : "5+ years experience in analytics, SQL proficiency, Experience with data visualization tools", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: The gross annual salary for this position ranges from €104,000 to €130,000 depending on your skills, and experience. But we are also open to discussing the salary further, taking into account your expertise and contributions. MELP - flexible benefit app (50 EUR per month accruing) (does not include Health Insurance) 25 days paid annual leave 3 paid days off for volunteering or L&D activities Parental Leave days (according to statutory) Family-Friendly Leave (according to statutory + extended from Tide) Personal L&D budget in the amount of 500 EUR per year Mental wellbeing platform Plumm WFH equipment allowance Sabbatical Leave Share options Team Events TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data models. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:16:47.533", "createdAt" : "2026-06-15T23:16:47.533", "lastUpdated" : "2026-06-16T06:34:48.179", "ingestTimestamp" : "2026-06-15T23:16:47.533", "mongoId" : "6a305148f292fd229cefdcba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Statistical analysis", "Data modeling", "Experiment design", "Causal inference", "Financial services", "Payment systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Airflow", "MLflow" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 413.59247, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305093f292fd229cef248e", "title" : "Head of Vio Data Solutions", "company" : "Vio", "industry" : "Partnerships & Business Development", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director-level executive in the Travel industry in the Netherlands, adjusted for remote work and company size." }, "location" : "Netherlands - Employee", "locations" : [ "Netherlands - Employee", "Remote", "Amsterdam / Remote" ], "timestamp" : "2026-06-16T11:10:38.702", "fingerprint" : "1be5905ebbbea8fe7cfa6befca199814110d3a5dc5ad5dd697c1b4b8b6e2c6f4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vio/ba55b5f5-cae9-4df7-acae-d5b9e11ab124/application", "externalId" : "ba55b5f5-cae9-4df7-acae-d5b9e11ab124", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Productization", "Pricing", "Sales", "Team-building", "Commercialisation models", "Sales pipeline management" ], "hardSkillsList" : [ "Data product sales", "Deal negotiation", "Post-sales relationships" ], "softSkillsList" : [ "Entrepreneurial" ], "hardSkills" : [ { "name" : "Data product sales", "level" : "intermediate" }, { "name" : "Deal negotiation", "level" : "intermediate" }, { "name" : "Post-sales relationships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial" } ], "majorSkills" : "Data product lifecycle, Sales, Team leadership", "majorSkillsList" : [ "Data product lifecycle", "Sales", "Team leadership" ], "coreResponsibilities" : "Identify data products, Identify customer segments, Design pricing models, Design commercialisation models, Build sales pipeline, Close first deals, Hire team, Develop team", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Accommodation industry; Travel industry; Data products; Revenue management; OTAs", "domainList" : [ "accommodation-industry", "travel-industry", "data-products", "revenue-management", "otas" ], "domainSpecificKnowledge" : [ "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "continuousLearning" : "Knowledge sharing", "specialRequirements" : "Based in Europe, Preferably in Amsterdam", "qualificationsBasic" : "Experience designing data products, Experience delivering data products, Proven track record in sales, Leadership experience", "qualificationsPreferred" : "Travel industry veteran, Deep experience in revenue management, Deep experience in data products, Deep experience in accommodation OTAs, Entrepreneur with track record, Self-directed leader", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "At Vio https://www.vio.com/, we believe booking accommodation should feel fair and effortless, never overwhelming or unclear. As one of the world’s most innovative travel tech platforms, we help millions of users make smarter travel decisions by comparing stays across 100+ booking sites so that they can find the best place, at the best price, anywhere in the world. Central to everything we do is data. We capture vast amounts of it, and we use it to power every product decision and customer interaction we make. Having built a robust, scalable infrastructure to store and surface this data, we're now ready to take the next step: offering it to other industry stakeholders who can use it to improve the market and unlock new efficiencies. Who we're looking for We're looking for an entrepreneurial business leader to own and drive this new initiative from the ground up. This isn't a role for someone who needs a playbook — it's for someone who writes them. You'll lead the entire data product lifecycle: from productisation and pricing through to sales and team-building. You'll be the first mover on a genuinely differentiated opportunity, backed by exceptional data infrastructure and industry-unique datasets. You have : - Experience designing and delivering data products at scale in the accommodation or travel industry - A proven track record in sales — including prospecting, negotiating, closing deals, and managing post-sales relationships - Leadership experience to grow the initial momentum into a scalable, standalone business unit What you'll do - Identify the data products we can build and the customer segments best positioned to benefit from them - Design pricing and commercialisation models that create genuine value for buyers and for Vio - Build the sales pipeline from scratch — and close the first deals yourself - Hire and develop a team to scale the business once traction is established Who you are - A travel industry veteran with deep experience in revenue management, data products, or accommodation OTAs - An entrepreneur at heart — someone with a track record of taking businesses from zero to one, or a self-directed leader who creates momentum without needing organisational scaffolding - Comfortable with ambiguity and energised by the challenge of building something new Why join us now? - Vio is an exceptional innovator in the accommodation booking space, using modern technology and a customer centric approach to innovate in ways few can. Bringing our data to new customers in the industry would often change how they run their operations, significantly increasing their competitiveness and its an honour to be a driver of such change - In 2026, we underwent a company-wide rebrand and launched our first StoryTelling marketing campaign in the UK. This was the next step in our commitment to help travelers book like insiders, and to establish Vio as a consumer-facing, creative brand. - The mobile applications (iOS https://apps.apple.com/us/app/vio-com-book-hotel-deals/id1639101398 and Android https://play.google.com/store/apps/details?id=com.vio.mobileapp&hl=en_US&gl=US) we launched in 2023 have been a big success, reaching 5 million installs and earning strong customer reviews. - We’re a passionate and diverse team of tech enthusiasts and creatives, with a commitment to the traveler above all else. - We reward our employees for the value they create by granting Stock Appreciation Rights https://medium.com/viodotcom/why-findhotel-offers-share-appreciation-rights-sar-1b688867d8c4 to all employees. What we offer - Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust, and transparency. - A great compensation package, perks, and benefits – including significant stock appreciation rights. - Flexible time off, with as many holidays as you need, and a chance to work remotely. - You’ll be part of an international team https://medium.com/viodotcom/2021-our-people-in-numbers-b72145c3fa9b in one of the best office locations in Amsterdam - We value good food and offer catered lunches from various cuisines, great coffee, and the occasional barbecue in our garden. - We enjoy getting together to celebrate our wins, with company events in Amsterdam and abroad. - A budget for your home office - Access to free mental health support via OpenUp https://openup.com/ We encourage people from all ethnic groups, genders, sexualities, ages, and abilities to apply. If this job description resonates with you, we’d love to hear from you. Please note: Although this role can be remote, we are only considering candidates based in Europe, preferably in Amsterdam. Blog posts worth reading - Our Core Values and What they Mean to our People https://medium.com/viotdotcom/our-core-values-and-what-they-mean-to-our-people-2880e69413c1 - Re-Imagining Metasearch for Traveling https://medium.com/@viodotcom1/vio-com-reimagining-metasearch-for-travelers-aa41548eebee - The Hiring Process at Vio https://medium.com/viodotcom/the-hiring-process-at-vio-c658b3bf4be2 - Our Rebrand https://www.vio.com/blog/the-journey-behind-vios-new-brand - What we celebrate at Vio https://medium.com/viodotcom/what-we-celebrate-at-findhotel-53cb261b7d9d Follow us on Instagram https://www.instagram.com/lifeatviodotcom/ and TikTok https://www.tiktok.com/@vio.com.travel to see what life at Vio looks like.", "summaryDescription" : "Head of Vio Data Solutions at Vio. Skills: Data product lifecycle, Sales, Team leadership. Identify data products. Identify customer segments", "createdAt" : "2026-06-16T00:26:06.696", "lastUpdated" : "2026-06-16T11:10:38.702", "ingestTimestamp" : "2026-06-16T00:26:06.696", "mongoId" : "6a305093f292fd229cef248e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data product sales", "Deal negotiation", "Post-sales relationships", "Entrepreneurial", "Data product lifecycle", "Sales", "Team leadership", "Productization", "Pricing", "Team-building", "Commercialisation models", "Sales pipeline management", "Accommodation industry", "Travel industry", "Data products", "Revenue management", "OTAs" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 412.6998, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Travel", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "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", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. Own product roadmaps", "postedDate" : "2026-06-15T23:29:04.090", "createdAt" : "2026-06-15T23:29:04.090", "lastUpdated" : "2026-06-16T11:06:39.308", "ingestTimestamp" : "2026-06-15T23:29:04.090", "mongoId" : "6a3066fff292fd229cfb805a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Influencing", "Data strategy", "Product ownership", "Technical leadership", "Fan engagement", "Lifecycle marketing", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 406.22363, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83d0", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:00:16.022", "fingerprint" : "631e7c202e064d4afe1cf26218eca91980ca6f7ea5bbd9e6d2a86d8ba1e5154e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Machine learning", "Data warehousing", "Data pipelines", "Data quality management", "Experimentation design", "ML model deployment", "Analytics enablement", "Data engineering automation", "Scalable data delivery", "Metrics definition", "Operating model definition" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Analytics enablement", "level" : "intermediate" }, { "name" : "Data engineering automation", "level" : "intermediate" }, { "name" : "Scalable data delivery", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. 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Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; 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Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. 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Founded in 2021, LayerZero’s vision is to create a community of cross-chain developers, building dApps that are no longer constrained by individual blockchain capabilities. With LayerZero's simple, generic messaging protocol, builders will develop cross-chain dApps designed to unify the power of individual blockchains. We are funded by the best investors in the world including: a16z, Sequoia, PayPal, Binance Ventures, Coinbase Ventures, Uniswap Labs, Circle Ventures, Delphi ABOUT THE ROLE LayerZero is standing up a product discipline for the first time at scale. We have an aggressive roadmap, strong engineering, and a clear inflection point as a company. We need someone who can define what great product looks like here, build and protect the team that executes it, and operate credibly at the executive level. WHAT YOU’LL DO Build and lead LayerZero's product function - define the operating model, hiring bar, and culture of the team from the ground up. Directly manage IC PMs across our product lines; set standards, unblock execution, and develop the team. Be the product voice at the executive level - represent the product function in leadership discussions on roadmap, resourcing, and strategic direction. Own the cross-product roadmap; ensure all product lines are moving in a coherent direction with clear priorities. Drive alignment between engineering, BD, and the product team - translate business and technical context into executable product strategy. Set and defend the hiring bar for every PM LayerZero brings in; own the process from intake through close. Protect the team from context-switching, misaligned priorities, and organizational drag - create the conditions for ICs to do their best work. ABOUT YOU You have 7+ years in product, including 2+ years managing PMs or leading a product function. You are crypto-native or have deep technical product experience in adjacent infrastructure - developer platforms, financial infrastructure, or security-critical systems. You have operated at the executive level and can hold your own in strategic conversations with engineering and BD leadership. You have hired and developed strong ICs; you know what great product talent looks like and how to attract it. You have a builder mentality - you have shipped products yourself and maintain technical credibility with engineers. You can navigate competing opinions and organizational complexity while keeping the team focused on outcomes. You communicate with precision and default to overcommunication in ambiguous situations. You thrive in environments with strong opinions, low process, and high autonomy. Equal Opportunity Employer LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.", "summaryDescription" : "Director of Product at LayerZero Labs. Skills: Product strategy, Roadmap development, User stories. Develop product strategy. 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Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. About the Position You will drive the product strategy across two critical teams—Prospect Data Solutions and Prospect Data Science Integrations—that are responsible for accelerating and scaling Constructor's pre-sales success. This unified role focuses on transforming raw prospect data into compelling business cases and automated proof-of-concept (proof schedule) demos. Your mission is to drastically reduce the time-to-value for prospects, ensuring our AI models are finely tuned for impactful results, and empowering the Sales and Account Executive (AE) teams with self-service tools, reports, and compelling narratives. REQUIREMENTS WHAT YOU'LL DO A. PRE-SALES AUTOMATION & VELOCITY (DATA SOLUTIONS FOCUS) - Proof Schedule Optimization: Own the end-to-end prospect data integration and proof schedule creation process, seeking opportunities to improve velocity and reduce the overall cycle time. - Data Strategy & Scaling: Define the roadmap for systems that efficiently and accurately gather high-quality catalog data and behavioral events from prospects, including the development of automated JavaScript code and utilities for live data collection. - Engineer Automation: Identify repetitive tasks performed by Engineers and prioritize the integration of advanced technologies (e.g., LLMs and Agents) to automate data collection and processing, ensuring the process scales without proportional resource growth. B. BUSINESS CASE & RESULTS OPTIMIZATION (ANALYST FOCUS) - AI Model Fine-Tuning: Define the tooling and processes that allow teams to work closely with Account Executives to fine-tune our AI models, ensuring they deliver the most relevant and impactful results for each prospect's unique needs. - Analytical Tools & Reporting: Prioritize and build analytical tools, reports, and dashboards to help Account Executives create better, data-driven demos and provide business case reports and forecasts for potential revenue/conversion lifts for prospects. - Storytelling & Examples: Build systems and solutions that make identifying great examples easier and help AEs tell better stories about how Constructor can help prospects. - Product Improvement: Leverage data exploration and analysis (SQL, Python) to understand user behavior and suggest opportunities for improving our core recommendation and search systems. C. INTERNAL ENABLEMENT & CROSS-FUNCTIONAL COLLABORATION - Sales Self-Service: Build robust internal tooling to empower the Sales and Account Executive teams to manage more proof schedule tasks, reducing dependencies on Engineering and Data Analysts. - Stakeholder Alignment: Serve as the product liaison, collaborating across Data Analysts, Frontend Engineers , and Account Executives to prioritize evolving prospect needs and secure deals with prominent e-commerce brands. WHAT YOU'LL BRING - Experience: 5+ years of Product Management experience, ideally working on B2B SaaS, Data/AI platforms, or complex pre-sales/sales enablement solutions. - Technical Acumen: Ability to interface effectively with engineers working on JavaScript and data pipelines (ETL) and data analysts proficient in SQL. - Data & Analytics: Comfortable defining data requirements for BI dashboards and analytical tools , and leveraging massive amounts of data to drive product innovation. - Customer & Business Focus: Proven experience working directly with customers (prospects) and sales teams to deliver solutions that translate technical capabilities into clear business value and revenue optimization. - Soft Skills: Excellent communication and interpersonal skills to translate business asks into technical language and vice versa. BENEFITS - \uD83C\uDFDD️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - \uD83D\uDCB0 A competitive compensation package including stock options - \uD83D\uDC68‍⚕️ Company sponsored US health coverage (100% paid for employee) - \uD83C\uDF0E Fully remote team - choose where you live - \uD83D\uDECB️ Work from home stipend! We want you to have the resources you need to set up your home office - \uD83D\uDCBB Apple laptops provided for new employees - \uD83E\uDDD1‍\uD83C\uDF93 Training and development budget for every employee, refreshed each year - \uD83D\uDC6A Parental leave for qualified employees - \uD83E\uDDE0 Work with smart people who will help you grow and make a meaningful impact This position is fully remote - Constructor.io http://Constructor.io is a remote-first company. Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.", "summaryDescription" : "Product Manager: Data Products at Constructor. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Define product strategy. 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