{ "count" : 160844, "data" : [ { "id" : "6a2c93e874d8ee00a09893aa", "title" : "Director, Combination Product Development and Human Factor Engineering", "company" : "Kaléo", "industry" : "Healthcare", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the Director seniority level in the Biotech industry, adjusted for a remote work mode and a large company size." }, "location" : "Corporate Remote", "locations" : [ "Corporate Remote" ], "timestamp" : "2026-06-15T09:40:46.124", "fingerprint" : "18655e7f57b422904ee1ace5ea4386e04dd08a4c75699eeab48fb70e1a55c75e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/kaleo/jobs/7749503003", "externalId" : "7749503003", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Personnel management", "Organizational skills", "Analytical abilities", "Problem-solving techniques", "Budget management", "Timeline management" ], "hardSkillsList" : [ "Design Controls", "Drug Development Program", "Human factor engineering", "Risk Management Programs", "DFMEA", "UFMEA", "PFMEA", "ISO14971:2019", "Device design", "Industrialization", "Stability", "Pilot clinical activities", "Development documentation" ], "softSkillsList" : [ "Leadership", "Judgment", "Critical thinking" ], "hardSkills" : [ { "name" : "Design Controls", "level" : "intermediate" }, { "name" : "Drug Development Program", "level" : "intermediate" }, { "name" : "Human factor engineering", "level" : "intermediate" }, { "name" : "Risk Management Programs", "level" : "intermediate" }, { "name" : "DFMEA", "level" : "intermediate" }, { "name" : "UFMEA", "level" : "intermediate" }, { "name" : "PFMEA", "level" : "intermediate" }, { "name" : "ISO14971:2019", "level" : "intermediate" }, { "name" : "Device design", "level" : "intermediate" }, { "name" : "Industrialization", "level" : "intermediate" }, { "name" : "Stability", "level" : "intermediate" }, { "name" : "Pilot clinical activities", "level" : "intermediate" }, { "name" : "Development documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Critical thinking" } ], "majorSkills" : "Combination Product Development, Human Factor Engineering, Drug Delivery Devices, Risk Management", "majorSkillsList" : [ "Combination Product Development", "Human Factor Engineering", "Drug Delivery Devices", "Risk Management" ], "coreResponsibilities" : "Manage and execute Design Controls, Manage and execute Drug Development Program, Lead human factor engineering activities, Work with design, development and manufacturing partners, Ensure program execution for development, Execute Risk Management Programs, Execute Risk Analyses, Provide leadership for new products, Help build intellectual property portfolio, Manage project and program budgets, Manage project and program timelines, Author regulatory submissions, Review regulatory submissions, Report progress to senior management, Report risks to senior management, Report opportunities to senior management", "teamCollaboration" : "Internal stakeholders; 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Kaléo is a global leader in drug‑delivery device technology and auto‑injector innovation, providing millions of patients, government partners, and emergency responders with security and peace of mind. The Director, Combination Product Development and Human Factor Engineering is responsible for managing the development of new combination products including design, development, and human factor studies through design transfer into manufacturing. The individual should be involved in building Kaleo’s intellectual property portfolio development. The Director will support the senior leadership team with critical information to make informed decisions on the selection of key partners, risks, and identification of critical milestones (budgeting, R&D build strategy, etc). This individual will need to develop strong relationships with external partners to ensure completion of all aspects of device/drug development and support of Human Factor studies from planning to execution. Internal interactions with Business Development, Manufacturing, and Regulatory Affairs provide opportunities to expand knowledge and make an impact on business development and post marketing activities. Key relationships to this position include Regulatory Affairs, External Partners (Suppliers, CMO and CDMO), Legal, Supply Chain, and Manufacturing. As Director, Combination Product Development and Human Factor Engineering you will: Manage and execute the company’s Design Controls and Drug Development Program for drug/device combination product development in accordance with Kaleo’s Quality System and 21 CFR 820.30/ISO 13485 Lead and responsible for human factor engineering activities as per the regulatory guidelines Work with design, development and manufacturing partners to ensure program execution for the development of Kaleo’s drug delivery devices stay on timeline and within approved budget Execute Risk Management Programs and Analyses in accordance with Kaléo's Quality System. Utilize Risk Analyses tools including DFMEA, UFMEA and PFMEA in accordance with ISO14971:2019 Provide leadership for the new products in device design, development, industrialization, stability and pilot clinical activities, execution of design controls and development documentation activities Help build Kaleo’s intellectual property portfolio Manage project and program budgets and timelines effectively Author and review regulatory submissions (as needed) Responsible for reporting progress, risks, and opportunities to senior management on an ongoing basis to ensure good progress on all development portfolio programs A successful Director, Combination Product Development and Human Factor Engineering will demonstrate: Self-motivated and confident with excellent personnel management skills, organizational skills, analytical abilities, and problem-solving techniques Strong technical abilities while being an effective leader Must demonstrate initiative, exercise good judgment, and have the ability to achieve results through others Strong analytical skills with the ability to creatively solve complex problems Excellent verbal and written communication skills when interacting with internal stakeholders at all levels of the organization and external partners, facilitating strong working relationships Focused attention to detail Ability to work collaboratively and cross-functionally when opportunity arises while holding the team to high standards of excellence Display a tenacity to move major initiatives forward with a focused effort and clear set of business goals Adept at integrating input from various functional areas and bringing people together to achieve results To be considered for this position, you must have: Bachelors, Masters, or PhD in a technical field related to Product Development or Industrialization (Biomedical Engineering, Mechanical Engineering, Material engineering, Systems Engineering preferred) Patient centric drug/device combination product development experience Minimum 10+ years of medical device development experience, with experience in managing external CMO’s Experience in design controls, risk management and ISO 13485 Minimum 5+ years of managing human factor engineering studies (formative and summative) Demonstrated record of accomplishments preferred (e.g., issued US patents, device concept to launch, approved drug/device combination products)", "summaryDescription" : "Director, Combination Product Development and Human Factor Engineering at Kaléo. Skills: Combination Product Development, Human Factor Engineering, Drug Delivery Devices, Risk Management. Manage and execute Design Controls. Manage and execute Drug Development Program", "postedDate" : "2026-06-14T09:13:33.953", "createdAt" : "2026-06-14T09:13:33.953", "lastUpdated" : "2026-06-15T09:40:46.124", "ingestTimestamp" : "2026-06-14T09:13:33.953", "mongoId" : "6a2c93e874d8ee00a09893aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Design Controls", "Drug Development Program", "Human factor engineering", "Risk Management Programs", "DFMEA", "UFMEA", "PFMEA", "ISO14971:2019", "Device design", "Industrialization", "Stability", "Pilot clinical activities", "Development documentation", "Leadership", "Judgment", "Critical thinking", "Combination Product Development", "Human Factor Engineering", "Drug Delivery Devices", "Risk Management", "Personnel management", "Organizational skills", "Analytical abilities", "Problem-solving techniques", "Budget management", "Timeline 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"2026-06-15T05:09:30.227", "fingerprint" : "87a1e8f8a3c942e85e9212e07df06d4b7d5bd0e3511fdd6ab811d31423dfcdb8", "source" : "personio", "language" : "en", "applyUrl" : "https://neuroelectrics.jobs.personio.de/job/2660937", "externalId" : "2660937", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Systems engineering, Hardware engineering, Firmware engineering, Software engineering, Signal integrity, Cloud uptime, Wireless, EMC/ESD, DFM/DFT, Production test, Device control applications, Observability, Telemetry, Secure update strategy, Cybersecurity", "professionalSkills" : [ "System-level architecture", "Technical decisions", "Engineering quality", "Engineering execution", "Technical risk", "Capacity planning", "Schedule 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"Audit interactions" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Signal quality", "level" : "intermediate" }, { "name" : "Stimulation delivery", "level" : "intermediate" }, { "name" : "Connectivity", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Firmware reliability", "level" : "intermediate" }, { "name" : "Biopotential front-ends", "level" : "intermediate" }, { "name" : "Electrode interfaces", "level" : "intermediate" }, { "name" : "Artifact mitigation", "level" : "intermediate" }, { "name" : "Noise mitigation", "level" : "intermediate" }, { "name" : "Current source design", "level" : "intermediate" }, { "name" : "Compliance voltage", "level" : "intermediate" }, { "name" : "Isolation", "level" : "intermediate" }, { "name" : "Stimulation protocols", "level" : "intermediate" }, { "name" : "Fleet management", "level" : "intermediate" }, { "name" : "Remote updates", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Technical files", "level" : "intermediate" }, { "name" : "Audit interactions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Engineering management, System architecture, Medical device development", "majorSkillsList" : [ "Engineering management", "System architecture", "Medical device development" ], "coreResponsibilities" : "Own full engineering function, Own system-level architecture, Own engineering execution end-to-end, Commit to feasibility, Build engineering team, Hire managers, Retain managers, Hire senior ICs, Retain senior ICs, Develop technical leaders, Shape engineering organization, Set engineering operating system, Plan engineering work, Review engineering work, Ship engineering work, Conduct design reviews, Conduct code reviews, Manage configuration, Automate testing, Discipline releases, Be senior technical reference, Engage on critical issues, Own product reliability, Triage issues, Trend complaints, Implement corrective actions, Manage reliability programs, Support CAPA, Drive platform modernization, Pay down technical debt, Modularize systems, Plan staged redesigns, Embed design controls, Embed risk management, Partner with RA/QA, Keep traceability audit-ready, Set direction on hardware, Set direction on firmware, Challenge hardware designs, Set direction on software, Set direction on cloud, Review software architectures, Review software code, Work as peer with Product, Work as peer with RA/QA, Work as peer with Production, Work as peer with Clinical, Work as peer with Customer Support, Bring engineering reality, Turn decisions into plans, Execute technical plans", "teamCollaboration" : "Peer with Product; Peer with RA/QA; Peer with Production; Peer with Clinical; Peer with Customer Support", "projectManagementSkills" : [ "Roadmap planning", "Scope prioritization" ], "domainKnowledge" : "Medical device software lifecycle; Usability engineering; Home healthcare environment; Connected health devices; EEG acquisition systems; Biopotential front-ends; tDCS/tACS/tRNS stimulators; Cloud-connected medical devices; EU MDR; FDA submissions", "domainList" : [ "medical-device-software-lifecycle", "usability-engineering", "home-healthcare-environment", "connected-health-devices", "eeg-acquisition-systems", "biopotential-front-ends", "tdcs-tacs-trns-stimulators", "cloud-connected-medical-devices", "eu-mdr", "fda-submissions" ], "domainSpecificKnowledge" : [ "Medical device software lifecycle", "Usability engineering", "Home healthcare environment", "Connected health devices", "EEG acquisition systems", "Biopotential front-ends", "tDCS/tACS/tRNS stimulators", "Cloud-connected medical devices", "EU MDR", "FDA submissions" ], "toolProficiency" : [ "Git", "JIRA" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical documentation; Architecture diagrams; Regulatory filings; Clinical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root-cause analysis; Troubleshooting", "qualificationsBasic" : "BSc/MSc in Electrical/Electronics Engineering, Computer Engineering/Computer Science, Telecommunications, Physics, or equivalent experience, 15+ years product and system engineering experience, Several years director or head-of-engineering level experience, Demonstrated track record building and growing engineering organizations, Principal-engineer-level technical depth, Medical device experience in regulated environments, Experience with design controls, Experience with risk management, Experience with V&V, Experience with tight collaboration", "qualificationsPreferred" : "Familiarity with IEC 62304, Familiarity with IEC 62366-1, Familiarity with IEC 60601-1-11, Familiarity with Cybersecurity for connected health devices, MSc/PhD in Biomedical Engineering, Neuroengineering or related field", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are Neuroelectrics is a creative, high-tech company offering the best-in-class non-invasive and high-definition electrical brain stimulation technology for personalized neuromodulation. By measuring and modifying brain function, we aim to restore brain health, minimize disabilities and create a better life for patients. We are looking for new members of our team who already live by our shared values and are inspired by our company’s Vision — accelerate the evolution of brain science and technology by delivering advanced solutions to help end patients suffering from brain pathologies — and our Mission — revolutionize the understanding of the brain through new personalized neuromodulation therapies, anywhere and at any time. Position Summary We are looking for a Director of Engineering to own the full engineering function at Neuroelectrics — systems, hardware, firmware, software — and report to the Executive Committee as the senior technical voice in the company. Product decides what we build and for whom; you own how we build it: the architecture, the technical decisions, the engineering quality, and the team that ships it. You combine principal-engineer-level technical depth with proven leadership at scale. You are hands-on by default — when a major signal-integrity issue, a stubborn architectural question, or a release-blocking bug shows up, you do not watch from the sidelines. Systems, hardware and software engineering report to you. What will you do Contribute to company-level strategy and decisions — from an engineering point of view — and put technical reality on the table when business calls are being made. Own the full engineering organization — systems, hardware, firmware, software — and the system-level architecture that ties them together. Defend it when reality pushes back. Own engineering execution end-to-end: architecture, technical design, build quality, V&V, release. Commit to feasibility, technical risk, capacity and schedule with eyes open, so Product can make scope and prioritization calls on solid ground. Build the engineering team. Hire and retain strong managers and senior Individual Contributors, develop the next layer of technical leaders, and shape an organization that matches where the product is going — not where it has been. Set the engineering operating system: how we plan, how we review, how we ship. Design and code reviews, configuration management, test automation, release discipline. Be the senior technical reference on the hardest problems: signal quality, stimulation delivery, connectivity, data integrity, firmware reliability, cloud uptime. You do not debug every issue — but when the team is stuck on something critical, you roll up your sleeves and engage at the same level as your strongest senior engineer. Own product reliability with Production and Customer Support: triage, complaint trending, corrective actions, reliability programs, and CAPA support when needed. Drive platform modernization: pay down technical debt, modularize, and plan staged redesigns that lower risk while preserving compliance. Embed design controls and risk management into how engineering really works day to day; partner with RA/QA to keep traceability audit-ready, not theatrical. Set direction on hardware and firmware: low-noise front-ends, stimulation current sources and safety monitoring, wireless, EMC/ESD, DFM/DFT, production test. You don’t design the next board yourself, but you can challenge the people who do — in detail. Set direction on software and cloud: device control applications, observability and telemetry, secure update strategy, cybersecurity for connected devices. You can review architectures and code with substance, not just slides. Work as a peer with Product, RA/QA, Production, Clinical and Customer Support. Bring engineering reality into product and business decisions; once a decision is made, turn it into a rigorous technical plan your team can execute. What do you need BSc/MSc in Electrical/Electronics Engineering, Computer Engineering/Computer Science, Telecommunications, Physics, or a similarly rigorous quantitative field (or equivalent experience). Significant experience (typically 15+ years) across product and system engineering, including several years at director or head-of-engineering level with managers as direct reports. Demonstrated track record building and growing engineering organizations: hiring strong people, developing managers, retaining technical talent, and shaping a culture where engineers do their best work. Technical depth at principal-engineer level, applied at director scope — you own system-level decisions across disciplines and have shipped products that customers depend on. Medical device experience in regulated environments: design controls, risk management, V&V, and tight collaboration with RA/QA. Familiar with ISO 13485, ISO 14971 and IEC 60601. Deep electronics background is non-negotiable: analog and mixed-signal design, embedded systems and firmware, wireless, and EMC/ESD considerations. You can read schematics, engage seriously with PCB layout and BOM choices, and challenge designs at the level your hardware leads expect — or above. Solid software engineering fundamentals — able to review architectures and major design decisions, not just project plans. Comfortable with automated testing and CI/CD as part of how engineering operates. Structured root-cause and reliability mindset: you build the systems and the team habits that close the loop from field issues to robust fixes. You will be the perfect fit if you are/have Familiarity expected (or willingness to ramp quickly) IEC 62304 (medical device software lifecycle) and IEC 62366-1 (usability engineering). IEC 60601-1-11 (home healthcare environment) for home-use contexts. Cybersecurity for connected health devices and software (e.g., IEC 81001-5-1 principles). Bonus points Background with EEG acquisition systems: biopotential front-ends, electrode interfaces, artifact and noise mitigation. (We work at microvolt scale. You know what that means.) Background with tDCS/tACS/tRNS stimulators: current source design, compliance voltage, safety monitoring, isolation, stimulation protocols. Experience leading engineering on cloud-connected medical devices: telemetry, fleet management, remote updates, incident response. Experience supporting EU MDR and/or FDA submissions — technical files, V&V, audit interactions. MSc/PhD in Biomedical Engineering, Neuroengineering or a related field. If you join us, you will enjoy: Benefits Competitive salary in the sector (according to your experience/skills). 26 vacation days per year + 24th and 31th of December. Fully stocked kitchen (Coffee, organic fruits, snacks, and beverages). Flexible Working Hours. Up to 6 days of working from home per month. Private Health insurance, including dental coverage. Professional development and collaborative environment. Unique opportunity to join our company early with excellent market traction and huge potential to grow Incredible office in Barcelona in Av. Tibidabo. (shower, stunning views of all of Barcelona, etc.) Team Building Events.", "summaryDescription" : "Director of Engineering (Medical Device) at Neuroelectrics. Skills: Engineering management, System architecture, Medical device development. Own full engineering function. 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Monitor KPIs, Drive continuous improvement, Identify technical risks, Mitigate technical risks, Identify regulatory risks, Mitigate regulatory risks, Identify operational risks, Mitigate operational risks", "teamCollaboration" : "Cross-functional influence; Quality and Regulatory leaders; Clinical, Manufacturing, Supply Chain", "projectManagementSkills" : [ "Product development pipelines" ], "domainKnowledge" : "Regulated medical devices; FDA regulations; 21 CFR Part 820; ISO 13485; ISO 14971; Class II devices; 510(k) submissions; De Novo submissions", "domainList" : [ "regulated-medical-devices", "fda-regulations", "21-cfr-part-820", "iso-13485", "iso-14971", "class-ii-devices", "510-k-submissions", "de-novo-submissions" ], "domainSpecificKnowledge" : [ "Regulated medical devices", "FDA regulations", "21 CFR Part 820", "ISO 13485", "ISO 14971", "Class II devices", "510(k) submissions", "De Novo submissions" ], "documentationSkills" : "Design control processes", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Risk management; Usability engineering", "outcomesObjectives" : "Successful product development; Successful approval; Successful market adoption; Inspection readiness; Successful audits; Scalable production; Cost-effective production; Compliant production; Continuous improvement; Reduced time-to-market; Reduced cost efficiency", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, 15+ years of experience in medical device industry, Significant experience in Class II devices, Proven leadership experience overseeing R&D teams, Proven leadership experience overseeing product development pipelines, Deep knowledge of FDA regulations, Knowledge of 21 CFR Part 820, Knowledge of ISO 13485, Knowledge of ISO 14971, Demonstrated success leading products through regulatory clearance, Demonstrated success leading products through commercialization, Experience working closely with Quality and Regulatory functions, Experience in a design controlled environment", "workSiteFlexibility" : "Flexible", "rawDescription" : "Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about http://hims.com/about and hims.com/how-it-works http://hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals http://www.hims.com/careers-professionals. ABOUT THE ROLE: The VP, Regulated Device Engineering is responsible for the overall leadership, strategy, and execution of the company’s regulated medical device business organization. This role owns end-to-end product development, from concept through commercialization, ensuring compliance with all FDA and global regulatory requirements while driving innovation, quality, and operational excellence. This leader will directly oversee Research & Development and have cross-functional influence with Quality, Regulatory Affairs, Clinical, and Manufacturing to ensure successful product development, approval, and market adoption. BUSINESS & STRATEGIC LEADERSHIP - Define and execute the strategic roadmap for the regulated devices portfolio, aligned with company growth objectives - Own budgeting, and resource allocation for the regulated devices business unit • Partner with executive leadership to identify new product opportunities • Build and scale a high-performing, cross-functional organization Product Development & R&D Leadership - Directly lead R&D developing regulated medical devices from concept through design transfer and commercialization - Ensure design control processes are robust, compliant, and efficiently executed (21 CFR Part 820, ISO 13485) - Drive innovation while maintaining disciplined product development processes, including risk management (ISO 14971) and usability engineering Quality & Regulatory Oversight - Ensure all products meet FDA, international regulatory, and quality system requirements - Partner closely with Quality and Regulatory leaders to support successful submissions (e.g., 510(k), De Novo as applicable) - Champion a culture of quality and compliance across the organization • Ensure inspection readiness and successful audits (FDA, notified bodies, etc.) Cross-Functional Leadership - Provide indirect leadership and alignment across Clinical, Manufacturing, and Supply Chain - Ensure clinical strategies support regulatory and commercial objectives - Collaborate with Manufacturing/Operations to ensure scalable, cost-effective, and compliant production processes Operational Excellence - Establish and monitor KPIs across development, quality, regulatory, and manufacturing readiness - Drive continuous improvement in product development lifecycle, time-to-market, and cost efficiency - Identify and mitigate technical, regulatory, and operational risks YOU HAVE: - Bachelor’s degree in Mechanical Engineering - 15+ years of experience in the medical device industry, with significant experience in Class II devices - Proven leadership experience overseeing R&D teams and product development pipelines - Deep knowledge of FDA regulations, including 21 CFR Part 820, and international standards such as ISO 13485 and ISO 14971 - Demonstrated success leading products through regulatory clearance (e.g., 510(k)) and commercialization - Experience working closely with Quality and Regulatory functions in a design controlled environment OUR BENEFITS (THERE ARE MORE BUT HERE ARE SOME HIGHLIGHTS): - Competitive salary & equity compensation for full-time roles - Unlimited PTO, company holidays, and quarterly mental health days - Comprehensive health benefits including medical, dental & vision, and parental leave - Employee Stock Purchase Program (ESPP) - 401k benefits with employer matching contribution - Offsite team retreats We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement https://www.hims.com/global-candidate-privacy-statement.", "summaryDescription" : "VP, Regulated Device Engineering at Hims & Hers. Skills: Regulated device engineering, Product development, Regulatory compliance. Define strategic roadmap. 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Design and implement data pipelines", "postedDate" : "2026-06-16T01:49:15.452", "createdAt" : "2026-06-16T01:49:15.452", "lastUpdated" : "2026-06-16T12:39:17.340", "ingestTimestamp" : "2026-06-16T01:49:15.452", "mongoId" : "6a307f83f292fd229c05a207", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "Machine Learning", "AI", "Data Science", "Statistical analysis", "Machine learning", "Data modelling", "A/B testing", "Causal inference", "Product analytics", "AI context engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a3a", "title" : "Senior Product Manager, Emerging Consumer Products", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 150000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, California", "locations" : [ "Palo Alto, California", "Chicago, Illinois", "Boston, Massachusetts", "Toronto, Ontario", "New York, New York", "Los Angeles, California", "Houston, Texas", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T12:02:06.746", "fingerprint" : "7ec8b5ca3fe2f91dd9a2f5278bf1d6358533f80a77f42b58ea6c125053c2d54b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/f37fc6d5-c1ac-4214-abf5-a6a29fcdd6eb/application", "externalId" : "f37fc6d5-c1ac-4214-abf5-a6a29fcdd6eb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Behavioral product thinking", "Funnel analysis", "Experimentation" ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Make DriveShield a habit, Own journey from first trip, Understand a score, See what changed, Earn points, Get guidance, Feel motivated to drive safer, Improve the core experience, Modernize trip tracking, Modernize driving scores, Modernize points, Modernize safety tips, Modernize progress, Modernize guidance, Build engagement loops, Figure out what makes drivers come back, Provide sharper score explanations, Provide better notifications, Provide personalized insights, Provide clearer rewards, Develop new habit mechanics, Develop new links between safer driving and savings, Explore what DriveShield becomes next, Help define new safety capabilities, Help define new mobility capabilities, Learn fast from users, Learn fast from data, Use analytics, Use research, Use usability studies, Use prototypes, Use A tests, Understand what works, Move quickly", "teamCollaboration" : "Design; Engineering; Data; Research; Growth; Business partners", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership; Insurance marketplace; Driving behavior; Driving safety; Mobility capabilities", "domainList" : [ "car-ownership", "insurance-marketplace", "driving-behavior", "driving-safety", "mobility-capabilities" ], "domainSpecificKnowledge" : [ "Car ownership", "Insurance marketplace", "Driving behavior", "Driving safety", "Mobility capabilities" ], "problemSolvingSkills" : "Behavior-change problem solving; Root cause analysis", "outcomesObjectives" : "Increase adoption; Increase engagement; Increase retention; Increase trust", "qualificationsBasic" : "Consumer product experience, Mobile or web experience, Work on engagement, Work on retention, Work on personalization, Work on lifecycle, Work on rewards, Work on habit formation, Partnership with Design, Partnership with Research, Partnership with Engineering, Partnership with Data, Comfort with funnel analysis, Comfort with experiments, Comfort with ambiguous user behavior", "qualificationsPreferred" : "Experience in trust-sensitive categories", "remoteFriendly" : true, "rawDescription" : "Why we exist Jerry.ai http://Jerry.ai is building the first app to manage all your physical assets: starting with your car, then home, and motorcycle, etc. Our insurance marketplace is our core product today, we help people save time and money on insurance shopping (including car, home, etc). Now, we are expanding into broader problems that make owning a car expensive, confusing, and stressful. The next chapter: being helpful every time someone drives. We have raised $240M, grown revenue 60X in six years, reached 5M customers, and built a team from some of the best consumer and technology companies in the world. Why we’re hiring this role DriveShield is one of our big product bets to make Jerry useful not just when someone shops for insurance, but every time they drive. DriveShield helps drivers track trips, understand their driving score, earn points, get personalized safety tips, build better habits, and even reduce risk of collisions. The opportunity for this is huge, but the challenge is: most people don’t wake up excited to check their driving behavior data. Driving scores can be confusing. Safety advice can be unhelpful. Rewards can feel arbitrary. If the experience is not clear, motivating, and trustworthy, people won’t care. We need a Senior Product Manager who can turn DriveShield from a useful feature into a daily habit for millions of drivers. Why you will (or won’t) like the work - You will own a real behavior-change problem. Your job is to make drivers care, come back, and improve. - You will be hands-on. You will work deeply in product, data, UX, research, and experimentation. - This category is not inherently “sexy”. Insurance and driving safety are not things people think about everyday, only when something bad happens and it’s too late. Your job is to help them before something goes wrong, and the potential for impact is huge. - The roadmap will not be handed to you. You will find the highest-leverage problems, build conviction, and ship. - The bar is high. You will work with a talent-dense team from companies like Nvidia, LinkedIn, DoorDash, Amazon, Klarna, and Lemonade. - The upside is huge. Jerry has raised $240M, grown revenue 60X in five years, reached 5M customers, and is building toward 50M. What you’ll own Your mandate is to make DriveShield clearer, more motivating, and more valuable — measured through adoption, engagement, retention, and trust. - Make DriveShield a habit: Own the journey from first trip to next action: understanding a score, seeing what changed, earning points, getting guidance, and feeling motivated to drive safer. - Improve the core experience: Modernize trip tracking, driving scores, points, safety tips, progress, and guidance. The goal is not prettier screens. It is an experience that is easier to understand, trust, and return to. - Build engagement loops that feel useful: Figure out what makes drivers come back after a trip: sharper score explanations, better notifications, personalized insights, clearer rewards, new habit mechanics, or new links between safer driving and savings. - Explore what DriveShield becomes next: Help define new safety and mobility capabilities, including smarter insights, crash detection, partner integrations, build-vs-buy opportunities, and AI-powered personalization. - Learn fast from users and data: Use analytics, research, usability studies, prototypes, and A/B tests to understand what works. Move quickly, but not blindly. Who you are - A consumer product craftsperson. You know that tiny UX decisions can decide whether users trust or abandon a product. - A behavioral product thinker. You care about why people form habits, ignore advice, respond to rewards, or distrust scores. - A detective. You do not stop at “engagement is down.” You find where users dropped, what they saw, and why it happened. - Data-driven, not data-obedient. You can build conviction from messy signals and use experiments to learn quickly. - High-bar and detail-oriented. You notice vague copy, confusing product experiences, missing instrumentation, edge cases, and UX that functions but doesn’t feel delightful. - A strong collaborator. You bring Design, Engineering, Data, Research, Growth, and business partners with you, prioritizing expertly to balance speed and quality. - Comfortable with unglamorous problems. You care about solving real consumer problems in a category that affects almost everyone. Ideal experience - Consumer product experience across mobile or web. - Work on engagement, retention, personalization, lifecycle, rewards, or habit formation. - Strong partnership with Design, Research, Engineering, and Data. - Comfort with funnel analysis, experiments, and ambiguous user behavior. - Experience in trust-sensitive categories like mobility, insurance, fintech, marketplaces, safety, health, or personal finance. - Startup or fast-paced 0 to 1 experience is a plus. Why Jerry.ai http://Jerry.ai Jerry is building the first super app for car ownership. We help people save money on car insurance today, and we are expanding into the broader problems that make owning a car expensive, confusing, and stressful. We have raised $240M, grown revenue 60X in five years, reached 5M customers, and built a team from some of the best consumer and technology companies in the world. DriveShield is one of the product bets that can make Jerry useful not just when someone shops for insurance, but every time they drives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, Emerging Consumer Products at Jerry. ai. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Make DriveShield a habit. 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Now, we are expanding into broader problems that make owning a car expensive, confusing, and stressful. The next chapter: being helpful every time someone drives. We have raised $240M, grown revenue 60X in six years, reached 5M customers, and built a team from some of the best consumer and technology companies in the world. Why we’re hiring this role DriveShield is one of our big product bets to make Jerry useful not just when someone shops for insurance, but every time they drive. DriveShield helps drivers track trips, understand their driving score, earn points, get personalized safety tips, build better habits, and even reduce risk of collisions. The opportunity for this is huge, but the challenge is: most people don’t wake up excited to check their driving behavior data. Driving scores can be confusing. Safety advice can be unhelpful. Rewards can feel arbitrary. If the experience is not clear, motivating, and trustworthy, people won’t care. We need a Senior Product Manager who can turn DriveShield from a useful feature into a daily habit for millions of drivers. Why you will (or won’t) like the work - You will own a real behavior-change problem. Your job is to make drivers care, come back, and improve. - You will be hands-on. You will work deeply in product, data, UX, research, and experimentation. - This category is not inherently “sexy”. Insurance and driving safety are not things people think about everyday, only when something bad happens and it’s too late. Your job is to help them before something goes wrong, and the potential for impact is huge. - The roadmap will not be handed to you. You will find the highest-leverage problems, build conviction, and ship. - The bar is high. You will work with a talent-dense team from companies like Nvidia, LinkedIn, DoorDash, Amazon, Klarna, and Lemonade. - The upside is huge. Jerry has raised $240M, grown revenue 60X in five years, reached 5M customers, and is building toward 50M. What you’ll own Your mandate is to make DriveShield clearer, more motivating, and more valuable — measured through adoption, engagement, retention, and trust. - Make DriveShield a habit: Own the journey from first trip to next action: understanding a score, seeing what changed, earning points, getting guidance, and feeling motivated to drive safer. - Improve the core experience: Modernize trip tracking, driving scores, points, safety tips, progress, and guidance. The goal is not prettier screens. It is an experience that is easier to understand, trust, and return to. - Build engagement loops that feel useful: Figure out what makes drivers come back after a trip: sharper score explanations, better notifications, personalized insights, clearer rewards, new habit mechanics, or new links between safer driving and savings. - Explore what DriveShield becomes next: Help define new safety and mobility capabilities, including smarter insights, crash detection, partner integrations, build-vs-buy opportunities, and AI-powered personalization. - Learn fast from users and data: Use analytics, research, usability studies, prototypes, and A/B tests to understand what works. Move quickly, but not blindly. Who you are - A consumer product craftsperson. You know that tiny UX decisions can decide whether users trust or abandon a product. - A behavioral product thinker. You care about why people form habits, ignore advice, respond to rewards, or distrust scores. - A detective. You do not stop at “engagement is down.” You find where users dropped, what they saw, and why it happened. - Data-driven, not data-obedient. You can build conviction from messy signals and use experiments to learn quickly. - High-bar and detail-oriented. You notice vague copy, confusing product experiences, missing instrumentation, edge cases, and UX that functions but doesn’t feel delightful. - A strong collaborator. You bring Design, Engineering, Data, Research, Growth, and business partners with you, prioritizing expertly to balance speed and quality. - Comfortable with unglamorous problems. You care about solving real consumer problems in a category that affects almost everyone. Ideal experience - Consumer product experience across mobile or web. - Work on engagement, retention, personalization, lifecycle, rewards, or habit formation. - Strong partnership with Design, Research, Engineering, and Data. - Comfort with funnel analysis, experiments, and ambiguous user behavior. - Experience in trust-sensitive categories like mobility, insurance, fintech, marketplaces, safety, health, or personal finance. - Startup or fast-paced 0 to 1 experience is a plus. Why Jerry.ai http://Jerry.ai Jerry is building the first super app for car ownership. We help people save money on car insurance today, and we are expanding into the broader problems that make owning a car expensive, confusing, and stressful. We have raised $240M, grown revenue 60X in five years, reached 5M customers, and built a team from some of the best consumer and technology companies in the world. DriveShield is one of the product bets that can make Jerry useful not just when someone shops for insurance, but every time they drives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, Emerging Consumer Products at Jerry. ai. Skills: Product strategy, Roadmap, User stories, Cross-functional collaboration. Make DriveShield a habit. Own the journey", "createdAt" : "2026-06-16T00:25:01.203", "lastUpdated" : "2026-06-16T10:29:42.147", "ingestTimestamp" : "2026-06-16T00:25:01.203", "mongoId" : "6a305098f292fd229cef28fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration", "Behavioral product thinking", "Funnel analysis", "Experimentation", "Roadmap planning", "Car ownership", "Insurance marketplace", "Driving behavior", "Driving safety", "Mobility" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305059f292fd229ceef4fc", "title" : "Product Development Engineer", "company" : "Ultra", "industry" : "R&D", "salary" : { "min" : 110000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Frankfort, Kentucky", "locations" : [ "Frankfort, Kentucky" ], "timestamp" : "2026-06-16T14:05:01.399", "fingerprint" : "863ca7d2734fc5c567309f6b1c8950fc9fadca6b516b7caeb66dbe58fe059fb5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ultra/ae61584b-785c-42c6-a638-599054689445/application", "externalId" : "ae61584b-785c-42c6-a638-599054689445", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frankfort", "state" : "Kentucky", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.2009055,-84.8732836" } ], "locationText" : "Frankfort, Kentucky, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Formulation development, Process engineering, Flavor systems, Active ingredient delivery, Sensory evaluation, Water activity, PH measurement, Dissolution testing, Raw material sourcing, Supplier COAs, Supplier SDS, CGMP", "professionalSkills" : [ "Technical documentation", "Scale-up troubleshooting", "Root cause analysis", "Change control management", "Supplier qualification", "Regulatory compliance" ], "hardSkillsList" : [ "Formulation", "Scale-up", "Technical transfer", "Sensory testing", "Quality control", "Regulatory support" ], "hardSkills" : [ { "name" : "Formulation", "level" : "intermediate" }, { "name" : "Scale-up", "level" : "intermediate" }, { "name" : "Technical transfer", "level" : "intermediate" }, { "name" : "Sensory testing", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Regulatory support", "level" : "intermediate" } ], "majorSkills" : "Formulation Development, Co-Manufacturer Commercialization, Sensory Testing", "majorSkillsList" : [ "Formulation Development", "Co-Manufacturer Commercialization", "Sensory Testing" ], "coreResponsibilities" : "Design and iterate on novel formulations, Evaluate excipients, Manage water activity, pH, and dissolution characteristics, Document all formulations, Source, screen, and qualify new raw materials, Review supplier COAs, SDS documents, Evaluate novel active ingredients, Maintain working knowledge of ingredient regulatory status, Lead technical transfer of bench formulations, Prepare co-manufacturer briefs, Prepare processing instructions, Define critical quality attributes, Own scale-up troubleshooting, Identify root causes of performance deltas, Drive resolution of performance deltas, Participate in production trials, Participate in line qualifications, Document outcomes of trials, Manage change controls, Serve as primary technical point of contact, Design and execute structured sensory evaluations, Build and analyze panelist data, Apply statistical reasoning, Identify meaningful performance trends, Translate sensory feedback into hypotheses, Support development of product specifications, Support development of in-process testing protocols, Support development of finished goods release criteria, Maintain documentation practices consistent with 21 CFR Part", "teamCollaboration" : "Co-manufacturing partners; R&D facility team", "projectManagementSkills" : [ "Change control management" ], "domainKnowledge" : "Oral drug delivery; Nutraceutical formulation; Food science; Dietary supplement regulations; 21 CFR Part 111; DSHEA", "domainList" : [ "oral-drug-delivery", "nutraceutical-formulation", "food-science", "dietary-supplement-regulations", "21-cfr-part-111", "dshea" ], "domainSpecificKnowledge" : [ "Oral drug delivery", "Nutraceutical formulation", "Food science", "Dietary supplement regulations", "21 CFR Part 111", "DSHEA" ], "toolProficiency" : [ "Granulators", "Analytical balances", "PH meters", "Water activity meters" ], "communicationSkills" : "Technical documentation; Co-manufacturer briefs", "documentationSkills" : "Batch records; Ingredient specs; Processing notes; Supplier COAs; Supplier SDS; Co-manufacturer briefs; Development reports", "innovationCreativity" : "Novel formulations; Novel delivery systems", "problemSolvingSkills" : "Scale-up troubleshooting; Root cause analysis", "qualificationsBasic" : "B.S. or higher in Food Science, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or related field, 2+ years of hands-on formulation in oral pouch products, Supported or led product scale-up and transfer to co-manufacturers, Write clear, precise technical documentation, Comfortable operating lab equipment independently", "qualificationsPreferred" : "Direct experience with oral drug or supplement delivery systems, Sensory science background or structured panel experience, Working knowledge of DSHEA, 21 CFR Part 111, and dietary supplement labeling regulations, Experience with dissolution testing or in vitro release method development", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ultra™ | Nicotine-Free Functional Pouches About Ultra ⚡️ Ultra™ is already the #1 brand of nicotine-free pouches in the world and we only launched one year ago—we’re just getting started. Our mission is to build the category-defining brand of functional pouches for people who want enhanced performance without the crash, addiction, or long-term downsides. ULTRA doesn’t just make a pouch that’s somewhat “better for you” than Zyn—we make functional performance products that are actively good for you. The market shift is massive: nicotine pouch sales are up 3,000% since 2019 and projected to reach $20B by 2026. Consumers are adopting the pouch form factor at scale, and many are now seeking nicotine-free functional benefits. Ultra is positioned to lead that wave. Backed by some of the best investors, founders and athletes in the world, including: - CAVU Consumer Partners (Once Upon A Farm, Poppi, Farmer’s Dog, Oatly, Vital Proteins, Whoop, Recess) - Left Lane Capital (Blank Street, Olipop, Holy) - Sugar Capital (Grüns, Feastables, Lucky Energy) - Athletes & Creators: Joe Burrow, Dak Prescott, Henrik Lundqvist, Jakob Chychrun + more - Founders & Operators: Chad Janis (Grüns), Harpreet Singh (Oura Ring), Jeff Raider (Harry’s), Vinay Menda (Blank Street) + more Learn more: takeultra.com http://takeultra.com The Role \uD83D\uDE80 As Product Development Engineer at ULTRA, you’ll join the core team at The ULTRA Compound, our dedicated R&D facility. You’ll own the full lifecycle of oral pouch product development—from initial bench formulation through scale-up, co-manufacturer transfer, and commercial launch. You’ll work across flavor systems, active ingredient delivery, sensory evaluation, and process engineering, with direct exposure to every part of how a product becomes a SKU on the shelf. The right candidate is technically rigorous, resourceful, and comfortable in an environment where you’re expected to figure things out. Experience with oral drug delivery, nutraceutical formulation, or food science is a strong foundation. What You’ll Own \uD83D\uDCBC Formulation Development - Design and iterate on novel formulations, flavors, and active ingredient delivery systems. - Evaluate excipients with a clear rationale grounded in function and regulatory compliance. - Manage water activity, pH, and dissolution characteristics to meet both product performance and stability targets. - Document all formulations with version-controlled batch records, ingredient specs, and processing notes. Raw Material Evaluation - Source, screen, and qualify new raw materials (flavor, functional, and excipient categories). - Review supplier COAs, SDS documents, and technical data sheets; flag specification gaps or quality concerns. - Evaluate novel active ingredients and delivery-enhancing compounds for potential integration into existing or new product lines. - Maintain working knowledge of ingredient regulatory status. Co-Manufacturer Commercialization - Lead technical transfer of bench formulations to co-manufacturing partners, including preparation of co-manufacturer briefs, processing instructions, and critical quality attributes. - Own scale-up troubleshooting—identify root causes of performance deltas between bench, pilot, and production scale and drive resolution. - Participate in production trials and line qualifications at co-manufacturing sites; document outcomes and manage change controls. - Serve as the primary technical point of contact with co-manufacturers for your product lines. Sensory Testing - Design and execute structured sensory evaluations for taste, texture, mouthfeel, and effect perception across formulation iterations. - Build and analyze panelist data sets; apply statistical reasoning to identify meaningful performance trends across formulas. - Translate sensory feedback into actionable formulation hypotheses and iterate accordingly. Quality & Regulatory Support - Support development of product specifications, in-process testing protocols, and finished goods release criteria. - Maintain documentation practices consistent with 21 CFR Part 111 cGMP requirements. Why You’re a Fit ❓ - B.S. or higher in Food Science, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or a closely related field. - 2+ years of hands-on formulation in oral pouch products. - You’ve supported or led product scale-up and transfer to co-manufacturers. - You write clear, precise technical documentation: batch records, development reports, co-manufacturer briefs. - You’re comfortable operating lab equipment independently—granulators, analytical balances, pH meters, water activity meters. - Bonus: Direct experience with oral drug or supplement delivery systems (buccal, sublingual, lozenge, pouch). - Bonus: Sensory science background or structured panel experience. - Bonus: Working knowledge of DSHEA, 21 CFR Part 111, and dietary supplement labeling regulations. - Bonus: Experience with dissolution testing or in vitro release method development. - You embody ULTRA’s values: Move fast. Be data-driven. Take ownership. Build with intention. Compete to win. Why You Should Join ULTRA \uD83D\uDCC8 - Own the Product End-to-End From bench formulation to commercial launch—you’re not handing off to someone else. You see every product through. - Category-Defining Brand ULTRA is building an entirely new category of functional pouches. Your formulations define what goes to market. - The ULTRA Compound Work out of a dedicated R&D facility built for speed, experimentation, and iteration. - High-Performance Culture Join a team that plays to win—technically rigorous, resourceful, and relentlessly focused on results. - Real Ownership Your work directly becomes the product. Every formulation decision, every scale-up call—it ships. - Aligned Incentives Competitive base ($110K–$140K), equity, and a benefits package built for a team that’s going the distance. Benefits and Perks Benefits include medical, dental, and vision coverage, HSA access, a 401(k), equity, and all the Ultra pouches you could ever want. Equal Employer Opportunity Ultra is proud to be an equal opportunity workplace. We value a diverse workforce and an inclusive culture. We encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. We comply with all applicable employment laws, including the NYC Fair Chance Act, and provide reasonable accommodations as required by law.", "summaryDescription" : "Product Development Engineer at Ultra. Skills: Formulation Development, Co-Manufacturer Commercialization, Sensory Testing. Design and iterate on novel formulations. Evaluate excipients", "createdAt" : "2026-06-16T00:29:39.142", "lastUpdated" : "2026-06-16T14:05:01.399", "ingestTimestamp" : "2026-06-16T00:29:39.142", "mongoId" : "6a305059f292fd229ceef4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Formulation", "Scale-up", "Technical transfer", "Sensory testing", "Quality control", "Regulatory support", "Formulation Development", "Co-Manufacturer Commercialization", "Sensory Testing", "Technical documentation", "Scale-up troubleshooting", "Root cause analysis", "Change control management", "Supplier qualification", "Regulatory compliance", "Oral drug delivery", "Nutraceutical formulation", "Food science", "Dietary supplement regulations", "21 CFR Part 111", "DSHEA", "Granulators", "Analytical balances", "PH meters", "Water activity meters" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d58da74d8ee00a0b875d6", "title" : "Sales Manager (Medical Device)", "company" : "Neuroelectrics", "industry" : "Healthcare", "salary" : { "min" : 55000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sales Manager in Barcelona, Spain, adjusted for manager seniority and the healthcare industry." }, "location" : "Barcelona, ES", "locations" : [ "Barcelona", "ES" ], "timestamp" : "2026-06-15T12:04:09.151", "fingerprint" : "0b6339b237efc8f682209b8245d19afe504eb2b6744453d08a513f8e63db024c", "source" : "personio", "language" : "en", "applyUrl" : "https://neuroelectrics.jobs.personio.de/job/2668057", "externalId" : "2668057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Catalonia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Catalonia, Spain", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "EEG, Neurostimulation, Neuroimaging, Neuroscience", "professionalSkills" : [ "Sales plan execution", "Pipeline building", "Deal closure", "Market monitoring", "Strategy adjustment", "Customer insights gathering", "Go-to-market shaping" ], "hardSkillsList" : [ "Sales target achievement", "Data analysis", "CRM record maintenance", "Routine EEG", "Ambulatory EEG", "Long-Term Monitoring", "CEEG in ICU" ], "softSkillsList" : [ "Grit", "Push boundaries", "Autonomous work", "Manage multiple priorities", "Gets things done", "Committed to quality" ], "hardSkills" : [ { "name" : "Sales target achievement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "CRM record maintenance", "level" : "intermediate" }, { "name" : "Routine EEG", "level" : "intermediate" }, { "name" : "Ambulatory EEG", "level" : "intermediate" }, { "name" : "Long-Term Monitoring", "level" : "intermediate" }, { "name" : "CEEG in ICU", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Grit" }, { "name" : "Push boundaries" }, { "name" : "Autonomous work" }, { "name" : "Manage multiple priorities" }, { "name" : "Gets things done" }, { "name" : "Committed to quality" } ], "majorSkills" : "Sales Management, Medical Devices, EEG Technology", "majorSkillsList" : [ "Sales Management", "Medical Devices", "EEG Technology" ], "coreResponsibilities" : "Develop Spanish sales plan, Execute Spanish sales plan, Build pipeline academic, Build pipeline clinical, Build pipeline research, Nurture pipeline academic, Nurture pipeline clinical, Nurture pipeline research, Lead sales cycle, Prospect clients, Qualify leads, Perform technical demos, Negotiate deals, Close deals, Represent Neuroelectrics conferences, Represent Neuroelectrics trade shows, Represent Neuroelectrics customer sites, Monitor market competitors, Monitor market pricing, Monitor market trends, Monitor market funding cycles, Adjust strategy, Maintain CRM records, Report progress targets, Align messaging, Gather customer insights, Shape go-to-market", "teamCollaboration" : "Product team support; Marketing teams alignment; Product Management alignment", "projectManagementSkills" : [ "Sales plan creation" ], "domainKnowledge" : "EU research landscape; Clinical landscape; EEG technology; Non-invasive brain stimulation; Epilepsy; Stroke; Depression; Alzheimer's; Neuroscience; Neurology; Psychiatry; Rehabilitation; Academic research", "domainList" : [ "eu-research-landscape", "clinical-landscape", "eeg-technology", "non-invasive-brain-stimulation", "epilepsy", "stroke", "depression", "alzheimer-s", "neuroscience", "neurology", "psychiatry", "rehabilitation", "academic-research" ], "domainSpecificKnowledge" : [ "EU research landscape", "Clinical landscape", "EEG technology", "Non-invasive brain stimulation", "Epilepsy", "Stroke", "Depression", "Alzheimer's", "Neuroscience", "Neurology", "Psychiatry", "Rehabilitation", "Academic research" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Presentation skills; English communication", "continuousLearning" : "Professional development", "specialRequirements" : "Travel up to 50-60%, Client site visits, Clinical trials", "outcomesObjectives" : "Hit sales targets; Exceed sales targets", "qualificationsBasic" : "3 years of experience, Hunter mentality, Proven track record sales targets EU, Bachelor's degree business, Technical or scientific background, Clinical understanding EEG technology, Routine EEG knowledge, Ambulatory EEG knowledge, LTM knowledge, CEEG in ICU knowledge, Creating and executing sales plan, Analysing data, Reporting on progress, Excellent English communication, Excellent English presentation skills, Willingness to travel 50-60%", "qualificationsPreferred" : "Experience selling medical devices, Experience selling scientific instruments, Experience selling research equipment, Direct experience EEG, Direct experience neurostimulation, Direct experience neuroimaging, Direct experience neuroscience technology, Established network neuroscience, Established network neurology, Established network psychiatry, Established network rehabilitation, Established network academic research, Clinical background, Scientific background neuroscience, Scientific background biomedical engineering, Scientific background psychology", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are At Neuroelectrics® we are on a mission to change brain health forever. We design and manufacture wearable medical devices that monitor and modulate brain activity — combining high-density EEG with non-invasive neurostimulation to help researchers and clinicians tackle some of the most challenging neurological and psychiatric conditions, from epilepsy and stroke to depression and Alzheimer's. Our technology is used in leading universities, hospitals and research centres in more than 30 countries, and we are now expanding our commercial footprint in the United Kingdom. Position Summary We are looking for a Sales Manager to lead our commercial activity. This is a strategic, hands-on role for an experienced sales professional who knows the EU research and clinical landscape, enjoys representing breakthrough technology, and wants the autonomy of a self-employed contract. You will own the Spanish market end-to-end — building the pipeline, closing deals and acting as the local face of Neuroelectrics for universities, hospitals, research institutes and key opinion leaders. What will you do Develop and execute the Spanish sales plan for our EEG and non-invasive brain stimulation portfolio. Build and nurture a strong pipeline across academic, clinical and research institutions. Lead the full sales cycle: prospecting, qualification, technical demos (with support from our product team), proposal, negotiation and close. Represent Neuroelectrics at conferences, trade shows and customer sites. Monitor the market — competitors, pricing, trends, funding cycles — and adjust the strategy accordingly. Maintain accurate CRM records and forecasts; report progress against targets to the Sales Director. Work closely with our Marketing and Product Management teams to align messaging, gather customer insights and shape the go-to-market. What do you need At least 3 years of experience, with must have hunter mentality. Proven track record of hitting and exceeding sales targets in the EU market . Bachelor's degree in business, plus a technical or scientific background (or equivalent experience). clinical understanding: knowledge of EEG technology , including routine EEG, Ambulatory EEG, LTM (Long-Term Monitoring), and cEEG in the ICU. Comfortable creating and executing a sales plan, analysing data and reporting on progress. Excellent communication and presentation skills in English. Willingness to travel up to 50–60% within the assigned territory for client site visits and clinical trials. Highly valued Experience selling medical devices, scientific instruments or research equipment. Direct experience with EEG, neurostimulation, neuroimaging or neuroscience-related technology. Established network across neuroscience, neurology, psychiatry, rehabilitation or academic research communities. Clinical or scientific background (neuroscience, biomedical engineering, psychology). You will be the perfect fit if you are/have Passionate about making a difference and gifted with a can-do attitude. Reliable, responsible and respectful. Founder's mindset — urgency, grit, adaptable, willing to push boundaries. Comfortable working autonomously and managing multiple priorities in parallel. Collaborative team player who gets things done. Committed to quality in everything you do. If you join us, you will enjoy: Competitive salary in the sector (according to your experience/skills). 26 vacation days per year + 24th and 31th of December. Fully stocked kitchen (Coffee, organic fruits, snacks, and beverages). Flexible Working Hours. Up to 6 days of working from home per month. Private Health insurance, including dental coverage. Professional development and collaborative environment. Unique opportunity to join our company early with excellent market traction and huge potential to grow Incredible office in Barcelona in Av. Tibidabo. (shower, stunning views of all of Barcelona, etc.) Team Building Events. Neuroelectrics is an equal opportunity organisation. We welcome applications from all qualified candidates regardless of background, identity or beliefs.", "summaryDescription" : "Sales Manager (Medical Device) at Neuroelectrics. Skills: Sales Management, Medical Devices, EEG Technology. Develop Spanish sales plan. Execute Spanish sales plan", "createdAt" : "2026-06-14T06:29:57.364", "lastUpdated" : "2026-06-15T12:04:09.151", "ingestTimestamp" : "2026-06-14T06:29:57.364", "mongoId" : "6a2d58da74d8ee00a0b875d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Sales target achievement", "Data analysis", "CRM record maintenance", "Routine EEG", "Ambulatory EEG", "Long-Term Monitoring", "CEEG in ICU", "Grit", "Push boundaries", "Autonomous work", "Manage multiple priorities", "Gets things done", "Committed to quality", "Sales Management", "Medical Devices", "EEG Technology", "Sales plan execution", "Pipeline building", "Deal closure", "Market monitoring", "Strategy adjustment", "Customer insights gathering", "Go-to-market shaping", "Sales plan creation", "EU research landscape", "Clinical landscape", "EEG technology", "Non-invasive brain stimulation", "Epilepsy", "Stroke", "Depression", "Alzheimer's", "Neuroscience", "Neurology", "Psychiatry", "Rehabilitation", "Academic research", "CRM" ], "skillCount" : 38, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca13a74d8ee00a09a4cac", "title" : "Senior Data Scientist, Product", "company" : "Mudflap", "industry" : "Data", "salary" : { "min" : 185000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Palo Alto, CA", "locations" : [ "Palo Alto, CA" ], "timestamp" : "2026-06-15T21:56:28.288", "fingerprint" : "4e9cb2f8d0ac649b285b397d7b594a4c3cce6f80e55c1afcbe39d18cc3580773", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mudflap/d9f674f7-a443-4211-adb8-31a689972086/application", "externalId" : "d9f674f7-a443-4211-adb8-31a689972086", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4443293,-122.1598465" } ], "locationText" : "Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Machine Learning, A/B testing, Causal inference", "professionalSkills" : [ "Data science initiatives", "Machine learning projects", "Data-driven decision making", "Experimental design", "Product innovation" ], "hardSkillsList" : [ "Predictive modeling", "Statistical analysis", "Experimentation analysis" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimentation analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics" ], "coreResponsibilities" : "Drive strategic data science initiatives, Lead end-to-end machine learning projects, Develop predictive models, Build data products, Uncover actionable insights, Drive data-driven decision making, Translate business requirements into analytical solutions, Communicate insights to executive stakeholders, Mentor junior data scientists, Mentor junior analysts, Establish best practices, Provide technical leadership, Conduct code reviews, Develop scalable data science methodologies, Develop scalable data science standards, Lead experimentation strategy, Drive product innovation, Own A/B testing frameworks, Mentor teams on experimental design, Translate test results into product improvements", "teamCollaboration" : "Partner with Product; Partner with Engineering; Partner with Operations; Partner with Leadership; Cross-functional partnerships; Collaborate with Product; Collaborate with Engineering; Collaborate with Ops; Collaborate with Risk teams", "domainKnowledge" : "Fraudulent risk assessment; Underwriting; Customer segmentation", "domainList" : [ "fraudulent-risk-assessment", "underwriting", "customer-segmentation" ], "domainSpecificKnowledge" : [ "Fraudulent risk assessment", "Underwriting", "Customer segmentation" ], "communicationSkills" : "Present complex insights", "outcomesObjectives" : "Influence product strategy; Influence business outcomes; Identify growth opportunities; Measure feature success; Optimize user experiences; Impact platform trajectory", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Proficiency in Python, Experience building production-ready models, Experience building production-ready pipelines, Statistical knowledge, Experience designing experiments", "qualificationsPreferred" : "Experience in risk domain, Experience in growth/marketing domain, Experience in product analytics domain, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We’re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey. About the Role At Mudflap, we’re building a data-driven decision engine that powers every aspect of our business—from product development and customer experience to growth and operational excellence. We’re looking for a versatile Senior Data Scientist, Product to join our high-impact team. In this role, you’ll partner closely with Product, Engineering, Operations, and Leadership to drive strategic product decisions through advanced analytics, experimentation, and machine learning. You’ll design and analyze A/B tests, develop predictive models, build data products, and uncover actionable insights that influence product strategy and business outcomes. From identifying growth opportunities to measuring feature success and optimizing user experiences, your work will directly impact the trajectory of our platform. Work Location: This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: - Commuter benefits to ease your travel - Lunches and snacks to keep you fueled - A collaborative, high-growth environment where you’ll work closely with talented teammates across the company What You’ll Do - Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain. - Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc. - Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders - Mentor junior data scientists and analysts and establish best practices — Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization - Lead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics What We’re Looking For - 5+ years of experience in data science, analytics, or related fields. - Proficiency in SQL and Python for data manipulation, modeling, and automation. - Experience building production-ready models and pipelines. - Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference). - Excellent communication skills—ability to present complex insights clearly to technical and non-technical stakeholders. - Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred. - Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential. Perks and Benefits (What we offer): - Competitive salary and equity in a high-growth startup - Multiple health benefit options - Responsible Time Off - 401(k) matching - Opportunities and support for major career growth - Annual Company offsite event (Mudfest!) The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation. Company Overview (Who we are): Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex. Here are the core values that we believe in and look for in new teammates: - Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do - Make it Count: Act like an owner by focusing on the impact of your work - Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates - Sweat the Details: We keep our standards high and achieve them by paying attention to every detail - Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what’s possible", "summaryDescription" : "Senior Data Scientist, Product at Mudflap. Skills: Data Science, Machine Learning, Product Analytics. Drive strategic data science initiatives. Lead end-to-end machine learning projects", "createdAt" : "2026-06-14T18:44:00.734", "lastUpdated" : "2026-06-15T21:56:28.288", "ingestTimestamp" : "2026-06-14T18:44:00.734", "mongoId" : "6a2ca13a74d8ee00a09a4cac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "Statistical analysis", "Experimentation analysis", "Leadership", "Mentoring", "Data Science", "Machine Learning", "Product Analytics", "Data science initiatives", "Machine learning projects", "Data-driven decision making", "Experimental design", "Product innovation", "Fraudulent risk assessment", "Underwriting", "Customer segmentation" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066b3f292fd229cfb4ae4", "title" : "Senior People Partner- Product & Engineering", "company" : "Alloy", "industry" : "FinTech", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior People Partner in FinTech in New York, United States, adjusted for seniority and company size." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T11:08:13.766", "fingerprint" : "cc95a7a334f3919ff92ce24247d4cd99aa81a6790a2b059549a359638f616939", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.alloy.com/about/jobs/detail?gh_jid=8592920002&gh_jid=8592920002", "externalId" : "8592920002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business partnership", "Talent management", "Employee relations", "Organizational development", "Performance management", "Workforce planning", "Compensation cycles", "Headcount modeling", "Hiring plans" ], "hardSkillsList" : [ "Data analysis", "Process building" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" } ], "majorSkills" : "People partnership, HRBP, Talent strategy", "majorSkillsList" : [ "People partnership", "HRBP", "Talent strategy" ], "coreResponsibilities" : "Serve as primary people partner, Coach and develop managers, Build habits for high-performing teams, Drive performance management cycles, Own org health, Track attrition signals, Track engagement trends, Track team dynamics, Partner on compensation cycles, Partner on workforce planning, Partner on headcount modeling, Identify patterns across client group, Use AI to work smarter, Build repeatable workflows, Partner closely with technical recruiters, Support hiring plans, Align on team needs, Ensure smooth hiring process", "teamCollaboration" : "Product and Engineering leaders; Broader People team; Technical recruiters", "domainKnowledge" : "Product organization; Engineering organization", "domainList" : [ "product-organization", "engineering-organization" ], "domainSpecificKnowledge" : [ "Product organization", "Engineering organization" ], "toolProficiency" : [ "HRIS" ], "communicationSkills" : "Direct communication", "continuousLearning" : "Annual Learning and Development stipend", "problemSolvingSkills" : "Analytical instincts; Data-driven decision making", "qualificationsBasic" : "5+ years HRBP or People Partner experience, 1+ year supporting technical organization, Experience managing at least one direct report, Comfort operating strategically and hands-on, Analytical instincts, Excellent judgment, Clear, direct communicator, Experience in high-growth company", "qualificationsPreferred" : "Prior experience at fintech, infrastructure, or B2B SaaS company, Exposure to People Analytics tools, Comfort pulling data from HRIS, Experience scaling through rapid headcount growth", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Alloy Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world's largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are building a workplace where you can grow, thrive, and belong. We have been recognized as one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, and Best Fintech to Work for by American Banker, year after year. About the Role We are looking for a People Partner - Product & Engineering to join our People team and serve as the dedicated people partner for our Product and Engineering organization. This is an individual contributor role reporting directly to the Chief People Officer. This is a backfill of an established seat on a small, high-caliber people team. The people who do well here are not generalists looking for a steady rhythm. They are strategic thinkers who bring data to every conversation, operate as a true business partner to leaders, and hold the bar on people quality without being asked to. What You Will Do Serve as the primary people partner for Product and Engineering leaders, translating business context into people decisions and surfacing people signals back into business strategy. Coach and develop managers across your client group, helping them build the habits that create high-performing teams. Drive performance management cycles end-to-end: calibrations, feedback, growth conversations, and the occasional difficult one. Own org health in your client group. Track attrition signals, engagement trends, and team dynamics proactively, not after the fact. Partner with the broader People team on compensation cycles, workforce planning, and headcount modeling. Identify patterns across your client group and bring them back to the People team as input to how we build programs and policies. Use AI as a core part of how you work, not as an add-on to work smarter, build repeatable workflows, and help leaders think about where it fits in. Partner closely with technical recruiters to support hiring plans, align on team needs, and ensure a smooth process from headcount decision to offer. What We're Looking For 5+ years of HRBP or People Partner experience, including at least one year supporting a technical organization (Engineering, Product, or similar). Experience managing at least one direct report, with a track record of developing people. Comfort operating in both directions: strategic enough to partner at the VP and Director level, and hands-on enough to own execution without needing a coordinator below you. Strong analytical instincts. You use data to inform your point of view, not just to report what happened. Excellent judgment on when to push, when to hold, and when to escalate. You know the difference between a people issue and a performance issue, and you handle both well. Clear, direct communicator. You say what you mean and write the way you speak. Experience in a high-growth company where the playbook was not yet written. You know how to build process without over-building it. Nice to Have Prior experience at a fintech, infrastructure, or B2B SaaS company. Exposure to People Analytics tools or comfort pulling your own data from an HRIS. Experience scaling through a period of rapid headcount growth. Compensation This position has a salary range of $155,000 to $175,000. Offers are determined by experience, skills, and interview performance as indicators of expected contribution, with movement through the range tied to demonstrated impact in the role. In addition to competitive base pay, this role is eligible for equity in the form of stock options (ISOs). Your recruiter will walk you through the full picture. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, and vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual compensation 16 weeks of paid parental leave for eligible new parents Home office stipend for new employees Annual Learning and Development stipend Well-being benefits including ClassPass, OneMedical, UrbanSitter, and Spring Health Hybrid work: Tuesdays through Thursdays in our Union Square, Manhattan HQ, with catered lunches and frequent team events Equal Opportunity Alloy is proud to be an equal-opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We provide reasonable accommodations to applicants with visible and invisible disabilities and encourage applicants to share needed accommodations with their recruiter.", "summaryDescription" : "Senior People Partner- Product & Engineering at Alloy. Skills: People partnership, HRBP, Talent strategy. Serve as primary people partner. Coach and develop managers", "postedDate" : "2026-06-15T23:29:26.412", "createdAt" : "2026-06-15T23:29:26.412", "lastUpdated" : "2026-06-16T11:08:13.766", "ingestTimestamp" : "2026-06-15T23:29:26.412", "mongoId" : "6a3066b3f292fd229cfb4ae4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Process building", "People partnership", "HRBP", "Talent strategy", "Business partnership", "Talent management", "Employee relations", "Organizational development", "Performance management", "Workforce planning", "Compensation cycles", "Headcount modeling", "Hiring plans", "Product organization", "Engineering organization", "HRIS" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3051f3f292fd229cf09724", "title" : "Senior AI Engineer, Product Engineering", "company" : "You.com", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Engineer in New York, adjusted for company size and industry." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "San Francisco", "California", "United States", "United States - Remote" ], "timestamp" : "2026-06-16T10:37:22.892", "fingerprint" : "82208c56789d7df5cbd80853e585ea4ac24090b09d7bcc0bbd56b8744d6ce20b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/youcom/jobs/5231873008", "externalId" : "5231873008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLM, Search, Infrastructure", "professionalSkills" : [ "Product direction", "Solutions architecture", "Technical product spec", "Customer integration", "API design", "Developer experience" ], "hardSkillsList" : [ "Real-time retrieval", "LLM optimization" ], "hardSkills" : [ { "name" : "Real-time retrieval", "level" : "intermediate" }, { "name" : "LLM optimization", "level" : "intermediate" } ], "majorSkills" : "AI Search Infrastructure, LLM, API Product Management", "majorSkillsList" : [ "AI Search Infrastructure", "LLM", "API Product Management" ], "coreResponsibilities" : "Own API product direction, Define roadmap for core search APIs, Define roadmap for monitoring, Define roadmap for vertical feeds, Define roadmap for evaluation tooling, Define roadmap for new primitives, Lead solutions for strategic accounts, Architect customer integration, Unblock customer teams, Turn pilots into partnerships, Translate customer conversations into product bets, Write product specs, Prioritize roadmap, Become shipped features, Be technical face of product, Run technical deep-dives, Write docs, Write reference implementations, Show up in AI builder spaces, Set technical bar, Work with engineering on API design, Work with engineering on performance, Work with engineering on developer experience, Push back on poor quality, Ship code, Prototype new API primitives, Ship production code", "teamCollaboration" : "Partner with founders; Partner with engineering leaders; Work with engineering; Work with world-class talent", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI agent ecosystem; LLM ecosystem; Retrieval systems; Search infrastructure; Agent infrastructure; Vertical indexes; Large-scale infrastructure", "domainList" : [ "ai-agent-ecosystem", "llm-ecosystem", "retrieval-systems", "search-infrastructure", "agent-infrastructure", "vertical-indexes", "large-scale-infrastructure" ], "domainSpecificKnowledge" : [ "AI agent ecosystem", "LLM ecosystem", "Retrieval systems", "Search infrastructure", "Agent infrastructure", "Vertical indexes", "Large-scale infrastructure" ], "communicationSkills" : "Technical deep-dives; Write specs; Write docs; Write reference implementations; Pitching CTOs; Customer calls; Sales follow-up; Postmortem writing", "documentationSkills" : "Write docs; Write specs", "innovationCreativity" : "Prototype new API primitives", "problemSolvingSkills" : "Debugging integration; Unblock customer teams; Solve hard problems", "outcomesObjectives" : "Win high-value accounts; Deploy high-value accounts; Expand high-value accounts; Turn pilots into partnerships; Make AI systems reliable; Make AI systems transparent; Make AI systems useful", "qualificationsBasic" : "5+ years experience engineering/product, Significant time on developer-facing/API products, Can write production code, Deep familiarity AI agent/LLM ecosystem, Track record owning ambiguous problems end-to-end, Customer instincts, Excellent written/verbal communication, Comfort with early-stage startup reality", "qualificationsPreferred" : "Shipped developer API/platform product, Worked closely with sales/solutions teams, Led sales/solutions motion, Built/contributed AI agents, Built/contributed retrieval systems, Built/contributed search infrastructure, Public footprint in AI/developer-tools space", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful. Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge. The role This is a hybrid product engineering and GTM role for someone who wants outsized impact at the intersection of all three. You'll own the direction of our API surface — shaping products like real-time monitoring, vertical feeds, and the next generation of agent-native retrieval primitives — while simultaneously sitting across the table from our most important customers to win, deploy, and expand high-value accounts. You'll be the technical voice customers trust, and the customer voice the engineering team trusts. The insights you bring back from the field will directly shape what we build next. This role demands high agency, deep customer obsession, and the rare ability to move fluidly between writing a technical product spec, debugging an integration on a customer call, and pitching a CTO on why our API should be core to their stack. What you'll do Own API product direction. Define the roadmap for our core search APIs and adjacent surfaces — monitoring, vertical feeds, evaluation tooling, and new primitives we haven't built yet. Decide what ships, when, and why. Lead solutions for strategic accounts. Partner directly with the founders and engineering leaders of our top customers and prospects. Architect their integration, unblock their teams, and turn pilots into long-term partnerships. Close the loop. Translate what you hear in customer conversations into concrete product bets. Write the specs, prioritize the roadmap, and make sure the highest-leverage learnings actually become shipped features. Be the technical face of the product. Run technical deep-dives, write the docs and reference implementations that matter most, and show up in the spaces where AI builders are deciding what to use. Set the technical bar. Work closely with engineering on API design, performance, and developer experience. Push back when something isn't good enough; ship when it is. Stay in the code. This is a hands-on role. You'll prototype new API primitives and ship production code into the core stack when the highest-leverage thing to do is just build it yourself. What you'll bring 5+ years of experience spanning engineering and product roles, with significant time spent on developer-facing or API products. You can still write production code and want to — this role expects it. Deep familiarity with the AI agent and LLM ecosystem — you understand how agents are being built, where retrieval fits in, and where the current tooling falls short. A track record of owning ambiguous, high-stakes problems end-to-end. You don't wait to be told what to do; you find the highest-leverage thing and go. Strong customer instincts. You enjoy customer calls, you're sharp at reading what's said and unsaid, and you can hold technical credibility with senior engineers and commercial credibility with executives. Excellent written and verbal communication. You can write a spec, a sales follow-up, and a postmortem with equal clarity. Comfort with the messy reality of an early-stage startup — shifting priorities, incomplete information, and the need to make calls without consensus. Bonus points You've shipped a developer API or platform product that real engineers depend on. You've worked closely with sales or solutions teams in a previous role, or led that motion yourself. You've built or contributed to AI agents, retrieval systems, or search infrastructure. You have a public footprint — open-source, writing, talks — in the AI or developer-tools space. Why this role Leverage. The decisions you make will compound across every customer we serve and every agent built on our APIs. Surface area. You'll touch product, engineering, GTM, and strategy. If you want a path toward a senior product or technical leadership role, this is rocket fuel. Learning & Collaboration. You'll work with world-class talent on search, infrastructure and AI problems. This team has a history on defining every part of the stack, you’ll never get bored! Timing. Agent infrastructure is one of the defining categories of this decade, and the next 18 months will determine who wins it. Compensation. Competitive base, meaningful equity, and the upside of a startup team building something foundational. Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations. Salary Band $200,000—$250,000 USD Company Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U. S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* 12 weeks of paid parental leave in the US* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process. Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.", "summaryDescription" : "Senior AI Engineer, Product Engineering at You.com. Skills: AI Search Infrastructure, LLM, API Product Management. Own API product direction. Define roadmap for core search APIs", "postedDate" : "2026-06-15T23:22:13.298", "createdAt" : "2026-06-15T23:22:13.298", "lastUpdated" : "2026-06-16T10:37:22.892", "ingestTimestamp" : "2026-06-15T23:22:13.298", "mongoId" : "6a3051f3f292fd229cf09724", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Real-time retrieval", "LLM optimization", "AI Search Infrastructure", "LLM", "API Product Management", "Product direction", "Solutions architecture", "Technical product spec", "Customer integration", "API design", "Developer experience", "Roadmap planning", "AI agent ecosystem", "LLM ecosystem", "Retrieval systems", "Search infrastructure", "Agent infrastructure", "Vertical indexes", "Large-scale infrastructure" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c59", "title" : "Senior/Staff Data Scientist, Product Analytics", "company" : "Gallup", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "timestamp" : "2026-06-16T14:10:48.359", "fingerprint" : "df4fb5183ce8d7b287b382fa0a23ef9977e48b1a697c4d21cef67c000c54c25a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4156860009", "externalId" : "4156860009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Shape product road maps and strategies with data-driven analytics and insights. As a senior/staff data scientist focused on product analytics for our Technology team, you’ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance. We’re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making. At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we’d love to hear from you. What You’ll Do Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working What Makes You Stand Out Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience. Persistent resourcefulness: You independently create clarity from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems. Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations. Experimentation judgment: You know when A/B tests are feasible and when they aren’t, and you can choose rigorous alternatives to answer product questions. Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on. Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights. What You Need Bachelor’s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required At least five years of experience in product analytics or data science required; eight or more years of experience preferred At least five years of experience with SQL for analysis in modern data environments required At least five years of experience with Python and data science tool kits (e.g., pandas) required Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required High fluency with MPP databases such as Snowflake or Redshift required Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred A commitment to working on-site at Gallup’s Omaha office at least three days per week required About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $135,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "Senior/Staff Data Scientist, Product Analytics at Gallup", "postedDate" : "2026-06-16T03:17:26.320", "createdAt" : "2026-06-16T03:17:26.320", "lastUpdated" : "2026-06-16T14:10:48.359", "ingestTimestamp" : "2026-06-16T03:17:26.320", "mongoId" : "6a30a1e0f292fd229c116c59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660474d8ee00a062b861", "title" : "Software Development Engineer, Emerging Device", "company" : "Amazon.com Services LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 165000.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T22:46:47.960", "fingerprint" : "f4ecca6d0a7b79447cadad58c6a0face8d8a8e1f59ba02edb64100baae0fa5a9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443851/apply", "externalId" : "11ee9136-2bdc-47a0-861e-04fd4ef4834b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C++, Java, Python, Embedded Linux, RTOS, Device drivers, System architecture, Firmware, Hardware, Software development", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Embedded systems", "Firmware development", "Device drivers" ], "hardSkills" : [ { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Firmware development", "level" : "intermediate" }, { "name" : "Device drivers", "level" : "intermediate" } ], "majorSkills" : "Embedded Linux, RTOS, Device drivers", "majorSkillsList" : [ "Embedded Linux", "RTOS", "Device drivers" ], "coreResponsibilities" : "Design and develop firmware, Develop device drivers, Build embedded Linux systems, Develop RTOS, Debug complex issues, Collaborate with hardware teams, Write technical documentation, Participate in code reviews", "teamCollaboration" : "Hardware teams; Cross-functional teams", "domainKnowledge" : "Emerging devices; Embedded systems; Device firmware", "domainList" : [ "emerging-devices", "embedded-systems", "device-firmware" ], "domainSpecificKnowledge" : [ "Emerging devices", "Embedded systems", "Device firmware" ], "toolProficiency" : [ "Git", "JIRA" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Debugging; Problem solving", "qualificationsBasic" : "Bachelor's degree or equivalent, 3+ years of experience", "qualificationsPreferred" : "Master's degree or PhD, Experience with emerging devices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon lab126 Platform Software team is looking for Software Development Engineer to design and Implement Critical Software modules for emerging devices. You will help contribute to next generation of consumer and enterprise devices in smart eyewear category. You will drive technical designs and features for next gen devices. Key job responsibilities We are looking for a talented and passionate Software Engineer to be part of an unique and gifted team building device software for exciting new devices. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting-edge products used every day, by people you know. In this role, you will: - Be responsible for system architecture and development of new features for embedded systems - Investigate, prototype and deliver new and innovative system solutions - Design, develop and verify firmware for embedded systems - Participate in design reviews, API development, and documentation - Work with new technologies that are vital to product development - Perform tasks including debug, bring-up, Beta and production software development - Successfully collaborate with both software and hardware product teams A day in the life As a Software Engineer, you will design and develop high quality embedded software. You will also have the opportunity to influence the product roadmap, define key components of overall system architecture and lead the adoption of best practices within the org. You will work closely with cross functional teams to bring a unified embedded control software solution for our customers. About the team Emerging Device Software team owns all the features, components and infrastructure of next generation of products. The team is responsible for defining architecture, design and implementation of next generation of products. The team develops embedded software using programming languages like C, C++ on both Linux/Android and RTOS based systems. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 3+ years of embedded firmware development experience, or Bachelor's degree in computer science or equivalent - Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) - Expertise in one software programming language – C++/C - Experience with Android, embedded Linux development and RTOS Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience troubleshooting and debugging technical systems - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Excellent judgment, organizational, and problem solving skills - Can mentor other software developers to maintain architectural vision and software quality - Comfortable taking initiative and working across teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually", "summaryDescription" : "Software Development Engineer, Emerging Device at Amazon.com Services LLC. Skills: Embedded Linux, RTOS, Device drivers. Design and develop firmware. Develop device drivers", "postedDate" : "2026-06-14T19:43:58.451", "createdAt" : "2026-06-14T19:43:58.451", "lastUpdated" : "2026-06-15T22:46:47.960", "ingestTimestamp" : "2026-06-14T19:43:58.451", "mongoId" : "6a2a660474d8ee00a062b861", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443851/apply", "salaryAnnualMin" : 165000, "salaryAnnualMax" : 223600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Embedded systems", "Firmware development", "Device drivers", "Embedded Linux", "RTOS", "System design", "Problem solving", "Emerging devices", "Device firmware", "Git", "JIRA" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0f474d8ee00a09dba8a", "title" : "Senior Product Data Scientist", "company" : "MaintainX", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Data Scientist in the US SaaS industry, adjusted for remote work and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:39:57.178", "fingerprint" : "b2eee6ee03bb779f7351da9405cb3d14618190ec257ab6a6306e89e6d93e2b2e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/maintainx/9a28abbc-6bb4-45bd-88ae-55e3abf2e9b7/application", "externalId" : "9a28abbc-6bb4-45bd-88ae-55e3abf2e9b7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "Python, Scikit-learn, MLflow, GBMs, Random forests, Logistic regression", "professionalSkills" : [ "Product experimentation", "Causal inference", "Statistical significance", "ML model building", "Business problem framing", "Data translation" ], "hardSkillsList" : [ "Product experimentation", "Causal inference", "Statistical significance", "ML model building" ], "softSkillsList" : [ "Executive presence" ], "hardSkills" : [ { "name" : "Product experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Statistical significance", "level" : "intermediate" }, { "name" : "ML model building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Executive presence" } ], "majorSkills" : "Product experimentation, ML models, Causal inference", "majorSkillsList" : [ "Product experimentation", "ML models", "Causal inference" ], "coreResponsibilities" : "Design product experimentation programs, Lead product experimentation programs, Build ML models, Deploy ML models, Partner cross-functionally, Frame business problems, Translate findings into decisions, Translate model outputs, Translate experimental results, Establish best practices", "teamCollaboration" : "Cross-functional with Product; Cross-functional with Design; Cross-functional with Engineering; Senior stakeholders; Executives", "domainKnowledge" : "B2B SaaS; B2C SaaS; Maintenance and asset management", "domainList" : [ "b2b-saas", "b2c-saas", "maintenance-and-asset-management" ], "domainSpecificKnowledge" : [ "B2B SaaS", "B2C SaaS", "Maintenance and asset management" ], "toolProficiency" : [ "Scikit-learn", "MLflow", "Amplitude" ], "communicationSkills" : "Business narratives; Business recommendation", "continuousLearning" : "Annual L&D budget", "problemSolvingSkills" : "Frame business problems as data problems", "outcomesObjectives" : "Drive measurable improvements in product adoption; Drive measurable improvements in retention; Turn product signals into actionable decisions", "qualificationsBasic" : "5-7 years of relevant experience, Hands-on experience with product experimentation, Python proficiency, Experience building ML models, Background in B2B SaaS or B2C SaaS, Cross-functional communication experience, Executive presence", "qualificationsPreferred" : "Experience with Databricks, Familiarity with Amplitude or similar event analytics platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-cloud-100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. ABOUT MAINTAINX MaintainX is the world's leading mobile-first work execution platform for industrial and frontline teams. We help over 13,000 customers — including Duracell, McDonald's, Shell, DHL, and Volvo — reduce unplanned downtime and run more efficient operations. In July 2025 we closed a $150M Series D led by Bessemer Venture Partners, bringing our total funding to $254M at a $2.5B valuation. We were named to the 2025 Forbes Cloud 100 and ranked #1 in EAM and CMMS on G2's Summer 2025 report. The market we serve is changing fast: 68% of industrial companies have the same or more downtime than they did in 2024, and there are 3.8M unfilled manufacturing jobs projected through 2033. Our work matters because real plants, real machines, and real frontline workers depend on it. THE ROLE We're hiring a Senior Product Data Scientist to join our Product Analytics team. You'll be the first dedicated Data Scientist on a team that has operated as a product analytics function — meaning you'll define what rigorous experimentation and ML-driven insight looks like at MaintainX, and directly influence how our product evolves. - Design and lead product experimentation programs (A/B tests, causal inference) that drive measurable improvements in product adoption and retention - Build and deploy ML models — GBMs, random forests, logistic regression — that turn product signals into actionable decisions for PMs and engineering leads - Partner cross-functionally with Product, Design, and Engineering to frame business problems as data problems and translate findings into decisions - Translate model outputs and experimental results into clear business narratives for senior stakeholders and executives - Establish best practices for experimentation and ML workflows YOU HAVE Must-haves: - Senior Product Data Scientist or Senior Data Scientist title with 5–7 years of relevant experience - Hands-on experience with product experimentation — A/B testing, causal inference, statistical significance - Python proficiency including scikit-learn and MLflow - Experience building ML models (GBMs, random forest, linear/logistic regression) - Background in B2B SaaS or B2C SaaS - Strong cross-functional communication — you've worked directly with PMs, engineers, and designers, not just a sales or finance audience - Executive presence: you can turn a complex model output into a business recommendation a VP can act on Nice-to-haves: - Experience with Databricks - Familiarity with Amplitude or similar event analytics platforms WE OFFER - Competitive base + equity in a high-growth, post-Series D company - Day-1 benefits coverage — health, dental, vision - Unlimited PTO - $500 home office stipend · $1K annual L&D budget - Hybrid hubs in Montreal, Toronto, Raleigh, Miami, and Bay Area HOW WE WORK We reward output. We promote quickly when people deliver, and we have honest conversations early when fit isn't right. If you're energized by ambiguity, care about the people our platform serves, and want to do the most impactful data science work of your career — we'd love to talk. Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.", "summaryDescription" : "Senior Product Data Scientist at MaintainX. Skills: Product experimentation, ML models, Causal inference. Design product experimentation programs. Lead product experimentation programs", "createdAt" : "2026-06-14T03:13:37.060", "lastUpdated" : "2026-06-15T10:39:57.178", "ingestTimestamp" : "2026-06-14T03:13:37.060", "mongoId" : "6a2cb0f474d8ee00a09dba8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product experimentation", "Causal inference", "Statistical significance", "ML model building", "Executive presence", "ML models", "Business problem framing", "Data translation", "B2B SaaS", "B2C SaaS", "Maintenance and asset management", "Scikit-learn", "MLflow", "Amplitude" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c692474d8ee00a090633d", "title" : "Product Manager: Data Products", "company" : "Constructor", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the SaaS industry in EMEA, adjusted for remote work and company size." }, "location" : "Remote - EMEA", "locations" : [ "Remote - EMEA", "Remote - Brazil", "Remote - UK" ], "timestamp" : "2026-06-16T04:53:51.113", "fingerprint" : "918936587b4725208a78c56b03de515b9b55bbb376c4f263f4b535d1f6b3b29e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/constructor/6b40841b-0cd5-4caa-929e-e6ea96cc1b58/application", "externalId" : "6b40841b-0cd5-4caa-929e-e6ea96cc1b58", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. 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. Develop product roadmap", "createdAt" : "2026-06-14T19:17:54.991", "lastUpdated" : "2026-06-16T04:53:51.113", "ingestTimestamp" : "2026-06-14T19:17:54.991", "mongoId" : "6a2c692474d8ee00a090633d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Roadmap planning" ], "skillCount" : 5, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d436f74d8ee00a0b42c6c", "title" : "Senior Product Data Scientist", "company" : "Talkiatry", "industry" : "Corporate & Technology", "salary" : { "min" : 145000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T08:04:07.916", "fingerprint" : "db797e65af4b18fd522786b5ca9f2cf516a1c7ddc1a56457ca3b2d289edb1377", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/talkiatry/0e6880af-3bd1-430f-a0d1-9ee1e4ba0751/application", "externalId" : "0e6880af-3bd1-430f-a0d1-9ee1e4ba0751", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Pandas, Scikit-learn, Statsmodels, Snowflake, Redshift, BigQuery", "professionalSkills" : [ "Product insights", "Applied analytics", "Data analysis", "Statistical evaluation", "Causal inference", "Experimental design" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Experimentation design", "Causal inference" ], "softSkillsList" : [ "Thought leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Thought leadership" } ], "majorSkills" : "Product data science, Machine learning, Experimentation, Applied analytics", "majorSkillsList" : [ "Product data science", "Machine learning", "Experimentation", "Applied analytics" ], "coreResponsibilities" : "Identify growth opportunities, Analyze data, Understand patient behaviors, Size opportunities, Identify risks, Monitor trends, Frame analyses, Develop regular deliverables, Turn historical data into guidance, Anticipate questions, Bring forward insights, Design experiments, Define success metrics, Implement statistical frameworks, Ensure statistical power, Analyze experiment results, Establish post experiment communication, Codify learnings, Inform product decisions, Lead analyses, Surface actionable insights, Translate adhoc analyses, Create repeatable frameworks, Create scalable reporting, Collaborate with Data Engineering, Collaborate with Analytics Engineering, Define requirements, Highlight gaps, Act as thought partner", "teamCollaboration" : "Cross-functional teammates; Product teams; Engineering teams; Design teams; Operations leaders; Clinical leaders; Finance leaders; Data Engineering teams; Analytics Engineering teams", "domainKnowledge" : "Mental health care; Healthcare delivery; Patient engagement; Clinical efficiency", "domainList" : [ "mental-health-care", "healthcare-delivery", "patient-engagement", "clinical-efficiency" ], "domainSpecificKnowledge" : [ "Mental health care", "Healthcare delivery", "Patient engagement", "Clinical efficiency" ], "toolProficiency" : [ "Pandas", "Scikit-learn", "Statsmodels" ], "communicationSkills" : "Communicate insights; Frame results; Business terms; Post experiment communication", "continuousLearning" : "Hone skills; Build new skills", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Uncovering opportunities; Framing insights; Analytical thought leadership", "outcomesObjectives" : "Guide strategic decisions; Guide product decisions; Maximize impact; Influence team", "qualificationsBasic" : "4+ years of experience, Advanced proficiency in Python, Experience with modern data warehouses, Foundation in experimental design, Foundation in causal inference, Foundation in statistical methods", "qualificationsPreferred" : "Master's or PhD preferred, Experience on a Product growth team, Applied experience in data science", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry. You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance. ABOUT TALKIATRY Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: Proactive Insights & Storytelling - Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors. - Help Product teams maximize impact, by working wtih PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to size opportunities. - Identify risks by exploring data and monitoring trends to understand the impact of emerging issues before they become problems. - Frame analyses and estimates in terms of “so what” for the practice to ensure findings don’t just inform, but influence the team. - Develop regular deliverables that turn historical data into forward looking guidance for product and operational teams. - Anticipate questions our teams should be asking and bring forward insights before they’re requested. Experimentation & Measurement - Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks. - Ensure appropriate statistical power, so results are both valid and actionable. - Analyze experiment results and establish clear post experiment communication, ensuring learnings (positive or negative) are codified and inform future product or operational decisions. Applied Analytics - Lead analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership. - Translate adhoc analyses into repeatable frameworks and scalable reporting so insights don’t stay one-off, but become institutional knowledge. Collaboration - Collaborate with Data Engineering and Analytics Engineering teams to define requirements and highlight gaps, so that data pipelines reliably support advanced analytics and modeling. - Act as a thought partner to Operations, Clinical, and Finance leaders, not just answering questions, but shaping the questions we should be asking. YOU HAVE: - 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact. - Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery). - Strong foundation in experimental design, causal inference, and statistical methods. - Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders. - Experience in DBT is a plus, but not required. - Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus. - Strong applied experience in data science is essential; a Master’s or PhD in a quantitative field is a plus. WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.", "summaryDescription" : "Senior Product Data Scientist at Talkiatry. Skills: Product data science, Machine learning, Experimentation, Applied analytics. Identify growth opportunities. Analyze data", "createdAt" : "2026-06-14T01:21:27.888", "lastUpdated" : "2026-06-15T08:04:07.916", "ingestTimestamp" : "2026-06-14T01:21:27.888", "mongoId" : "6a2d436f74d8ee00a0b42c6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Statistical analysis", "Experimentation design", "Causal inference", "Thought leadership", "Product data science", "Machine learning", "Experimentation", "Applied analytics", "Product insights", "Data analysis", "Statistical evaluation", "Experimental design", "Mental health care", "Healthcare delivery", "Patient engagement", "Clinical efficiency", "Pandas", "Scikit-learn", "Statsmodels" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1dc70f0b99d58d66e5c", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:37:36.559", "fingerprint" : "ee9d92ef6247b9795a36ce8deace91f1cf37f938f507444740933c4f64bfc557", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102501/apply", "externalId" : "bb6f45af-409c-4378-a3d8-6794210f5321", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, Deep learning, Machine learning, LLMs, Probabilistic modeling, Optimization, Java, C++, Python", "professionalSkills" : [ "Model development", "Model deployment", "Computational advertising", "Ad economics", "Advertiser performance metrics" ], "hardSkillsList" : [ "Model building", "Algorithm implementation", "Rapid experimentation", "Scaling infrastructure" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model building", "level" : "intermediate" }, { "name" : "Algorithm implementation", "level" : "intermediate" }, { "name" : "Rapid experimentation", "level" : "intermediate" }, { "name" : "Scaling infrastructure", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Deep Learning, LLMs, Optimization", "majorSkillsList" : [ "Generative AI", "Deep Learning", "LLMs", "Optimization" ], "coreResponsibilities" : "Contribute to design and development of GenAI, deep, Transform ad retrieval, auctions, whole-page relevance, or bespoke, Collaborate cross-functionally with scientists, engineers, and product managers, Bring scalable, production-ready science solutions to life, Stay abreast of industry trends in GenAI, LLMs, Bring fresh and innovative concepts, ideas, and prototypes, Contribute to enhancement of team’s scientific and technical, Identify and implement best-in-class algorithms, methodologies, and infrastructure, Enable rapid experimentation and scaling, Mentor and grow junior scientists and engineers, Cultivate a high-performing, collaborative, and intellectually curious team, Contribute to development in Generative AI and Large, Revolutionize advertising flow, backend optimization, and frontend shopping, Redefine how ads are retrieved, allocated, and experienced, Elevate ads into personalized, contextually aware, and inspiring, Transform ad retrieval, ad allocation, whole-page relevance, and, Build novel generative models grounded in Amazon’s data, Shape how customers engage with ads, discover products,, Apply frontier AI to real-world problems with massive, Define the next chapter of advertising science, Build delightful ad experiences across various surfaces beyond, Drive monetization, Deliver highly personalized, context-aware advertising, Adapt advertising to individual shopper preferences, Scale advertising across diverse page types, Integrate advertising seamlessly with organic recommendations, Lead the expansion and growth of advertising across, Operate full stack from backend services to shopper-facing, Deliver meaningful value", "teamCollaboration" : "Cross-functionally with scientists, engineers, and product managers; Partnership with Amazon Stores stakeholders", "domainKnowledge" : "Generative AI; Large Language Models; Multi-objective optimization; Reinforcement learning; Computational advertising; Auction theory; Ad economics", "domainList" : [ "generative-ai", "large-language-models", "multi-objective-optimization", "reinforcement-learning", "computational-advertising", "auction-theory", "ad-economics" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Multi-objective optimization", "Reinforcement learning", "Computational advertising", "Auction theory", "Ad economics" ], "communicationSkills" : "Communicate complex technical topics", "innovationCreativity" : "Innovative concepts; Innovative ideas; Prototype development", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "PhD or Master's degree and 4+ years experience, 3+ years building models for business application, Experience programming in Java, C++, Python, Foundation in GenAI, LLMs, ML, DL, probabilistic modeling, or optimization, Experience developing and deploying models in production", "qualificationsPreferred" : "Expertise in Generative AI, foundation models, LLMs, Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization, Deep understanding of multi-modal modeling, few-shot learning, RAG, or RLHF, Experience with online experimentation, A/B testing frameworks, and metrics design, Demonstrated ability to communicate complex technical topics, Experience in computational advertising", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. - Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life. - Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. - Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization. - Experience developing and deploying models in real-world production environments. Preferred Qualifications: - Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks. - Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. - Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF). - Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce. - Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences. - Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Deep Learning, LLMs, Optimization. Contribute to design and development of GenAI, deep. Transform ad retrieval, auctions, whole-page relevance, or bespoke", "postedDate" : "2026-06-13T17:00:26.850", "createdAt" : "2026-06-13T17:00:26.850", "lastUpdated" : "2026-06-15T04:37:36.559", "ingestTimestamp" : "2026-06-13T17:00:26.850", "mongoId" : "68e6b1dc70f0b99d58d66e5c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102501/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model building", "Algorithm implementation", "Rapid experimentation", "Scaling infrastructure", "Mentoring", "Generative AI", "Deep Learning", "LLMs", "Optimization", "Model development", "Model deployment", "Computational advertising", "Ad economics", "Advertiser performance metrics", "Large Language Models", "Multi-objective optimization", "Reinforcement learning", "Auction theory" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "69cf26132beec4dd3d90b5ce", "title" : "Medical Laboratory Scientist", "company" : "Tampa General Hospital", "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "timestamp" : "2026-06-15T10:20:39.368", "fingerprint" : "4b5aa119b4dceeb49053cf3e2e1ef20c7dca7e9ef7fa5f036666f249fc1d0b7d", "source" : "taleo", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=673264", "externalId" : "673264", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "professionalSkills" : [ "Esoteric Molecular Laboratory" ], "hardSkillsList" : [ "Medical Technologist" ], "softSkillsList" : [ "independent judgement" ], "hardSkills" : [ { "name" : "Medical Technologist", "level" : "intermediate" } ], "softSkills" : [ { "name" : "independent judgement" } ], "majorSkills" : "Molecular experience", "majorSkillsList" : [ "Molecular experience" ], "coreResponsibilities" : "Under general supervision, independently performs all levels of moderate and high complexity testing, following established policies, procedures, and professional guidelines. Responsible for performing routine and specialized technical analyses, operating and maintaining instrumentation, and exercising independent judgement in recognizing and solving test related problems.", "problemSolvingSkills" : "test related problems", "specialRequirements" : "Must be currently licensed as a Medical Technologist by the State of Florida Department of Health. Performs technical job duties as specified in CAP Regulations. Personnel Requirements for Tests of Moderate and High Complexity - Testing. Also responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Shift differential eligible.", "qualificationsBasic" : "Must be currently licensed as a Medical Technologist by the State of Florida Department of Health. Bachelor’s degree in Medical Technology or related area.", "qualificationsPreferred" : "Molecular experience preferred.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, independently performs all levels of moderate and high complexity testing, following established policies, procedures, and professional guidelines. Responsible for performing routine and specialized technical analyses. Operates and maintains instrumentation according to established laboratory procedures and protocols. Exercises independent judgement in recognizing and solving test related problems. Performs technical job duties as specified in CAP Regulations. Personnel Requirements for Tests of Moderate and High Complexity - Testing. Also responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Shift differential eligible Must be currently licensed as a Medical Technologist by the State of Florida Department of Health. Bachelor’s degree in Medical Technology or related area. Molecular experience preferred. Tampa", "summaryDescription" : "Medical Laboratory Scientist at Tampa General Hospital. Skills: Molecular experience. Under general supervision, independently performs all levels of moderate and high complexity testing, following established policies, procedures, and professional guidelines. Responsible for performing routine and specialized technical analyses, operating and maintaining instrumentation, and exercising independent judgement in recognizing and solving test related problems.", "createdAt" : "2026-06-14T17:30:18.754", "lastUpdated" : "2026-06-15T10:20:39.368", "ingestTimestamp" : "2026-06-14T17:30:18.754", "mongoId" : "69cf26132beec4dd3d90b5ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Medical Technologist", "independent judgement", "Molecular experience", "Esoteric Molecular Laboratory" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6f74d8ee00a0978f92", "title" : "Senior Decision Scientist, Product Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 97000.0, "max" : 118000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:37:27.909", "fingerprint" : "6a1489b1dc12ed5276396969699744db2a4c902954b13a8d2e53d1a8285c62b6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/be2bc6b2-85d6-407a-9d0f-2fd755645f28/application", "externalId" : "be2bc6b2-85d6-407a-9d0f-2fd755645f28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute A/B tests, Analyze product performance, Build and maintain data pipelines, Collaborate with product managers, Communicate findings to stakeholders, Develop dashboards and reports, Mentor junior data scientists", "teamCollaboration" : "Product managers; Engineering teams; Marketing teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Product development lifecycle", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "product-development-lifecycle" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Stakeholder communication; Technical presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, SQL proficiency, Experience with Python or R, Experience with data warehousing", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Experience with A/B testing, Experience with causal inference", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Senior Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Senior Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Leading projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies - Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance - Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients - Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team - Mentoring other members of the team - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of practical work experience in Analytics - Bachelor’s degree in Computer Science, Engineering or a related field - Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills - Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations - Initiative to proactively anticipate and solve important problems - Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions - 5+ years of practical work experience in Analytics About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $97,000 - $118,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Decision Scientist, Product Analytics at Ibotta. Skills: Data Science, Machine Learning, Product Analytics, Data Engineering. Develop and implement machine learning models. Design and execute A/B tests", "createdAt" : "2026-06-14T18:13:53.229", "lastUpdated" : "2026-06-15T21:37:27.909", "ingestTimestamp" : "2026-06-14T18:13:53.229", "mongoId" : "6a2c8d6f74d8ee00a0978f92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 97000, "salaryAnnualMax" : 118000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation", "Data Science", "Machine Learning", "Product Analytics", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference", "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c9474d8ee00a0919f69", "title" : "Medical Device Sales Territory Account Manager", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 73000.0, "max" : 92400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T02:52:47.638", "fingerprint" : "5c5a1166866fd25d1387e660cb3b313c194b8a095901d708d9af315b6869b986", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4257244009", "externalId" : "4257244009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Sales strategies" ], "majorSkills" : "Sales, Customer support", "majorSkillsList" : [ "Sales", "Customer support" ], "coreResponsibilities" : "Educate therapists, patients, and physicians on products, Establish sales strategies to attain goals, Provide customer support with training, Provide customer support with reimbursement, Provide customer support with concerns, Provide customer support with complaints, Maintain compliance with regulatory requirements, Maintain compliance with HIPAA", "domainKnowledge" : "Lymphedema; Chronic venous insufficiency; Respiratory illnesses; Third party payer policies", "domainList" : [ "lymphedema", "chronic-venous-insufficiency", "respiratory-illnesses", "third-party-payer-policies" ], "domainSpecificKnowledge" : [ "Lymphedema", "Chronic venous insufficiency", "Respiratory illnesses", "Third party payer policies" ], "continuousLearning" : "Training; Conferences", "specialRequirements" : "Travel within territory, Travel outside territory, Lift 20 pounds", "outcomesObjectives" : "Attain monthly sales goals; Attain quarterly sales goals; Attain annual sales goals; Penetrate underserved clinical markets", "qualificationsBasic" : "Bachelor's degree or equivalent combined education and work experience (4 years), 3+ years of outside/inside sales experience, 1+ years of medical sales experience, 4+ years of patient facing clinical experience, 2+ years of Tactile Medical patient facing or sales support work experience", "qualificationsPreferred" : "Healthcare sales experience with clinicians, Clinical experience working directly with lymphedema patients, Demonstrated success selling Tactile Medical products", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. The Territory Account Manager is responsible for educating therapists, physicians and patients on Tactile Medical Products in an assigned territory. Responsible for establishing sales strategies to attain monthly, quarterly and annual sales goals. Responsible for penetrating underserved clinical markets. Assist in providing customer support with training, reimbursement, concerns, or complaints. Must maintain compliance with all appropriate regulatory requirements, including HIPAA. Responsibilities Educating therapists, patients, and physicians on the Flexitouch System and other products and services offered by Tactile Medical Establish sales strategies to attain monthly, quarterly, and annual sales goals Assist in providing customer support with training, reimbursement, concerns, or complaints Other duties as assigned Qualifications Education & Experience: Required: Bachelor’s degree or equivalent combined education and work experience (4 years) 3+ years of outside/inside sales experience OR 1+ years of medical sales experience OR 4+ years of patient facing clinical experience OR 2+ years of Tactile Medical patient facing or sales support work experience Preferred: Healthcare sales experience with clinicians such as doctors, surgeons, therapists, etc. Clinical experience working directly with lymphedema patients such as a Nurse, CLT, PTA, PT, OT, OTA, etc. Demonstrated success selling Tactile Medical products Knowledge & Skills: Knowledgeable of third party payer policies Demonstrated ability to launch new products desirable Travel within territory as well as outside territory for conferences and training Ability to lift 20 pounds Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $73,000—$92,400 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Medical Device Sales Territory Account Manager at Tactile Medical. Skills: Sales, Customer support. Educate therapists, patients, and physicians on products. Establish sales strategies to attain goals", "postedDate" : "2026-06-14T19:59:04.029", "createdAt" : "2026-06-14T19:59:04.029", "lastUpdated" : "2026-06-16T02:52:47.638", "ingestTimestamp" : "2026-06-14T19:59:04.029", "mongoId" : "6a2c6c9474d8ee00a0919f69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 73000, "salaryAnnualMax" : 92400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Sales", "Customer support", "Sales strategies", "Lymphedema", "Chronic venous insufficiency", "Respiratory illnesses", "Third party payer policies" ], "skillCount" : 7, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051c6f292fd229cf068b7", "title" : "Senior Software Engineer - Device Experience", "company" : "Easygo", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior Software Engineer in Melbourne, Australia, adjusted for the technology industry and company size." }, "location" : "Melbourne, Victoria, Australia", "locations" : [ "Melbourne", "Victoria", "Australia" ], "timestamp" : "2026-06-16T07:40:32.723", "fingerprint" : "bafb1434aeb4ede74fc04aaff191521675a27225ded20baa7a90c573e0a4dd4c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/easygo/jobs/5164497007", "externalId" : "5164497007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Engineering@Easygo At Easygo, our Core team is at the heart of our operations, creating the robust, high-performance backend software that underpins both our global casino games and sportsbook offerings. The exciting thing about the Core team is that it impacts every single customer and is felt directly by every engineer across all feature development squads within the world's largest online crypto casino and sportsbook platform. As a dedicated developer experience team, we tackle complex technical challenges with innovation and precision, ensuring the foundational systems are robust, scalable, and empower all product development teams. If you're passionate about growth, innovation, and working with the best, we'd love to have you on our team! Key Responsibilities: Deliver high-quality, well-tested features and improvements across the app estate with a strong focus on correctness, performance, and platform best practices. Contribute meaningfully to architectural and technical design discussions within your platform domain, raising considerations around scalability, stability, and maintainability. Uphold and actively contribute to engineering standards including code review rigour, testing coverage, CI/CD adherence and the team's Definition of Done. Partner with Product Managers, UX Designers, and Backend Platform Engineers to deliver user experiences that are seamless and leverage platform capabilities effectively. Identify and surface blockers, technical risks, and delivery concerns early - taking a proactive approach to problem-solving rather than waiting to be directed. Support the growth of the team by providing constructive code review feedback, sharing knowledge openly, and offering guidance to less experienced engineers. Contribute to improving crash-free rates, release predictability, and app stability - key engineering metrics for the Device Experiences team. Participate in on-call and incident response activities, taking ownership of issues within your domain through to resolution. Qualifications: Bachelor's/Master's degree in Computer Science or equivalent practical experience. 4+ years of hands-on experience in mobile software engineering with a focus on quality delivery and scalable development. Proficiency in one or more mobile platforms, with familiarity in the relevant ecosystem and frameworks. Solid understanding of mobile development lifecycles including design, testing, release pipelines, and production support. Experience working with RESTful APIs to connect mobile applications to back-end services. Good understanding of mobile platform design principles and interface guidelines. Strong communication skills with the ability to collaborate effectively across engineering, product, and design. A track record of delivering reliable, well-tested features in a team environment. Experience building and maintaining large-scale consumer mobile applications. Familiarity with CI/CD pipelines and automated testing frameworks for mobile. Experience debugging production issues and contributing to incident resolution. Demonstrated ability to lead delivery of a feature or component from design to production. Experience building custom UI components, video players, or animations. Exposure to regulated market app delivery or multi-variant build pipelines. A quick learner who embraces new technologies and adapts to changing priorities. Some of the perks of joining us: Champion Engineering Excellence to influence cultural change across the organisation. Work alongside the top 5% of engineering talent in Australia, using a vast cloud native tech stack including AWS, Microservices, Large-Scale Distributed Systems, NATS, K8's, ArgoCD, Terraform, Typescript, GraphQL, Nodejs. Exposure to building global, large-scale volume products which operate at thousands per second frequency. Be rewarded with lucrative annual bonuses Enjoy 30 days of bundled person leave - choose how you use it! Give back with a paid volunteer day Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house Break up the week with on site remedial massage Wednesdays In house full-time barista’s providing you your daily coffee needs Weekly team lunches and happy hour in the office from 4pm on Fridays Enjoy a bustling office with the option for up to 2 days work from home per week Fun office environment with pool tables, table tennis and all your favourite gaming consoles We believe that the unique contributions of everyone at Easygo are the drivers of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experiences we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.", "summaryDescription" : "Senior Software Engineer - Device Experience at Easygo", "postedDate" : "2026-06-15T23:21:20.914", "createdAt" : "2026-06-15T23:21:20.914", "lastUpdated" : "2026-06-16T07:40:32.723", "ingestTimestamp" : "2026-06-15T23:21:20.914", "mongoId" : "6a3051c6f292fd229cf068b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c9474d8ee00a0919f66", "title" : "Medical Device Sales Territory Account Manager", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 80300.0, "max" : 101640.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T01:07:21.885", "fingerprint" : "6fb4391de8188acac02ef807b35a1847e2f7b893fab53c3632ee08178c4e8ebe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4271784009", "externalId" : "4271784009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Sales strategies" ], "majorSkills" : "Sales, Account management", "majorSkillsList" : [ "Sales", "Account management" ], "coreResponsibilities" : "Educate therapists, patients, and physicians on Tactile Medical, Establish sales strategies to attain sales goals, Assist in providing customer support, Provide training, Handle reimbursement, Address concerns, Resolve complaints, Maintain compliance with regulatory requirements, Perform other duties as assigned", "domainKnowledge" : "Lymphedema; Chronic venous insufficiency; Respiratory illnesses; Third party payer policies", "domainList" : [ "lymphedema", "chronic-venous-insufficiency", "respiratory-illnesses", "third-party-payer-policies" ], "domainSpecificKnowledge" : [ "Lymphedema", "Chronic venous insufficiency", "Respiratory illnesses", "Third party payer policies" ], "continuousLearning" : "Conferences; Training", "specialRequirements" : "Travel within territory, Travel outside territory, Lift 20 pounds", "outcomesObjectives" : "Attain monthly sales goals; Attain quarterly sales goals; Attain annual sales goals; Penetrate underserved clinical markets", "qualificationsBasic" : "Bachelor's degree or equivalent combined education and work experience (4 years), 3+ years of outside/inside sales experience, 1+ years of medical sales experience, 4+ years of patient facing clinical experience, 2+ years of Tactile Medical patient facing or sales support work experience", "qualificationsPreferred" : "Healthcare sales experience with clinicians, Clinical experience working directly with lymphedema patients, Demonstrated success selling Tactile Medical products", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. The Territory Account Manager is responsible for educating therapists, physicians and patients on Tactile Medical Products in an assigned territory. Responsible for establishing sales strategies to attain monthly, quarterly and annual sales goals. Responsible for penetrating underserved clinical markets. Assist in providing customer support with training, reimbursement, concerns, or complaints. Must maintain compliance with all appropriate regulatory requirements, including HIPAA. Responsibilities Educating therapists, patients, and physicians on the Flexitouch System and other products and services offered by Tactile Medical Establish sales strategies to attain monthly, quarterly, and annual sales goals Assist in providing customer support with training, reimbursement, concerns, or complaints Other duties as assigned Qualifications Education & Experience: Required: Bachelor’s degree or equivalent combined education and work experience (4 years) 3+ years of outside/inside sales experience OR 1+ years of medical sales experience OR 4+ years of patient facing clinical experience OR 2+ years of Tactile Medical patient facing or sales support work experience Preferred: Healthcare sales experience with clinicians such as doctors, surgeons, therapists, etc. Clinical experience working directly with lymphedema patients such as a Nurse, CLT, PTA, PT, OT, OTA, etc. Demonstrated success selling Tactile Medical products Knowledge & Skills: Knowledgeable of third party payer policies Demonstrated ability to launch new products desirable Travel within territory as well as outside territory for conferences and training Ability to lift 20 pounds Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $80,300—$101,640 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Medical Device Sales Territory Account Manager at Tactile Medical. Skills: Sales, Account management. Educate therapists, patients, and physicians on Tactile Medical. Establish sales strategies to attain sales goals", "postedDate" : "2026-06-14T19:10:20.589", "createdAt" : "2026-06-14T19:10:20.589", "lastUpdated" : "2026-06-16T01:07:21.885", "ingestTimestamp" : "2026-06-14T19:10:20.589", "mongoId" : "6a2c6c9474d8ee00a0919f66", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80300, "salaryAnnualMax" : 101640, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Sales", "Account management", "Sales strategies", "Lymphedema", "Chronic venous insufficiency", "Respiratory illnesses", "Third party payer policies" ], "skillCount" : 7, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c9474d8ee00a0919f68", "title" : "Medical Device Sales Territory Account Manager", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 87600.0, "max" : 110880.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Field", "locations" : [ "Field" ], "timestamp" : "2026-06-16T03:57:31.892", "fingerprint" : "c9044723347f03c1d67c03073b44338efe1798f8f123ad43ce8e7683b5f59e62", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4266554009", "externalId" : "4266554009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "coreResponsibilities" : "Educate therapists, patients, and physicians on Tactile Medical, Establish sales strategies to attain sales goals, Provide customer support with training, reimbursement, concerns, or, Maintain compliance with regulatory requirements, Assist in providing customer support, Other duties as assigned", "domainKnowledge" : "third party payer policies", "domainList" : [ "third-party-payer-policies" ], "domainSpecificKnowledge" : [ "third party payer policies" ], "specialRequirements" : "Travel within territory, Travel outside territory for conferences, Travel outside territory for training, Lift 20 pounds", "outcomesObjectives" : "Attain monthly sales goals; Attain quarterly sales goals; Attain annual sales goals; Penetrate underserved clinical markets", "qualificationsBasic" : "Bachelor's degree or equivalent combined education and work experience (4 years), 3+ years outside/inside sales experience, 1+ years medical sales experience, 4+ years patient facing clinical experience, 2+ years Tactile Medical patient facing or sales support work experience", "qualificationsPreferred" : "Healthcare sales experience with clinicians, Clinical experience with lymphedema patients, Demonstrated success selling Tactile Medical products", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. The Territory Account Manager is responsible for educating therapists, physicians and patients on Tactile Medical Products in an assigned territory. Responsible for establishing sales strategies to attain monthly, quarterly and annual sales goals. Responsible for penetrating underserved clinical markets. Assist in providing customer support with training, reimbursement, concerns, or complaints. Must maintain compliance with all appropriate regulatory requirements, including HIPAA. Responsibilities Educating therapists, patients, and physicians on the Flexitouch System and other products and services offered by Tactile Medical Establish sales strategies to attain monthly, quarterly, and annual sales goals Assist in providing customer support with training, reimbursement, concerns, or complaints Other duties as assigned Qualifications Education & Experience: Required: Bachelor’s degree or equivalent combined education and work experience (4 years) 3+ years of outside/inside sales experience OR 1+ years of medical sales experience OR 4+ years of patient facing clinical experience OR 2+ years of Tactile Medical patient facing or sales support work experience Preferred: Healthcare sales experience with clinicians such as doctors, surgeons, therapists, etc. Clinical experience working directly with lymphedema patients such as a Nurse, CLT, PTA, PT, OT, OTA, etc. Demonstrated success selling Tactile Medical products Knowledge & Skills: Knowledgeable of third party payer policies Demonstrated ability to launch new products desirable Travel within territory as well as outside territory for conferences and training Ability to lift 20 pounds Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $87,600—$110,880 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Medical Device Sales Territory Account Manager at Tactile Medical. Educate therapists, patients, and physicians on Tactile Medical. Establish sales strategies to attain sales goals", "postedDate" : "2026-06-14T18:34:17.980", "createdAt" : "2026-06-14T18:34:17.980", "lastUpdated" : "2026-06-16T03:57:31.892", "ingestTimestamp" : "2026-06-14T18:34:17.980", "mongoId" : "6a2c6c9474d8ee00a0919f68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 87600, "salaryAnnualMax" : 110880, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "third party payer policies" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1dc70f0b99d58d66e58", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:40:28.487", "fingerprint" : "71d894ac3d77d55cd2dc99ee85c9fa9105a2ca6aef353498099f24d3861ace27", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102514/apply", "externalId" : "dc88749d-d65e-40c6-9366-9088f849c06a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Java, C++, Python, GenAI, Unix/Linux", "professionalSkills" : [ "Model development", "Video understanding" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Model development, Video understanding", "majorSkillsList" : [ "Generative AI", "Model development", "Video understanding" ], "coreResponsibilities" : "Participate in Science hiring process, Mentor other scientists, Identify and devise new video related solutions, Address customer or business problems, Articulate potential scientific challenges, Present interventions to address them, Independently assess alternative video related technologies, Driving evaluation and adoption of technologies, Work with a team of engineers, scientists, and, Help bring new products to market, Ensure customers are delighted, Design, development, and implementation of Sponsored Brands Video, Create relevant and engaging video experiences, Connect advertisers and shoppers", "teamCollaboration" : "Team of engineers, scientists, designers", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Generative AI; Video understanding", "domainList" : [ "sponsored-products", "sponsored-brands", "generative-ai", "video-understanding" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Generative AI", "Video understanding" ], "innovationCreativity" : "Re-imagining advertising landscape; Re-inventing advertising experiences; Pushing boundaries with AI", "problemSolvingSkills" : "Solving complex challenges", "qualificationsBasic" : "Master's degree and 4+ years experience, 3+ years building models, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience and understanding of GenAI-based model development, Experience with video understanding", "qualificationsPreferred" : "PhD preferred, Experience using Unix/Linux, Experience in professional software development, Familiarity with GenAI methods for post-training, Familiarity with fine-tuning, Familiarity with model optimizations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done. Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level. Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them. Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best A day in the life As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide. About the team The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, & personal. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience and understanding of GenAI-based model development as applied to video understanding Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Familiarity with GenAI methods for post-training, fine-tuning, and model optimizations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Model development, Video understanding. Participate in Science hiring process. Mentor other scientists", "postedDate" : "2026-06-13T11:02:46.571", "createdAt" : "2026-06-13T11:02:46.571", "lastUpdated" : "2026-06-15T03:40:28.487", "ingestTimestamp" : "2026-06-13T11:02:46.571", "mongoId" : "68e6b1dc70f0b99d58d66e58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102514/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Mentoring", "Generative AI", "Model development", "Video understanding", "Sponsored Products", "Sponsored Brands" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c759074d8ee00a093765c", "title" : "Device Metrology Tool Development Lead", "company" : "QuantWare", "industry" : "R&D ", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Lead Device Metrology Tool Development roles in Delft, Netherlands, adjusted for the technology industry and company size." }, "location" : "Delft", "locations" : [ "Delft" ], "timestamp" : "2026-06-15T10:18:42.765", "fingerprint" : "64804c57eacbb87ff9da670d6385887591b8ec7e53f3fc8a1b27eb81adbd11be", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/quantware/a1cd796b-e6e0-4ea0-ac63-93f38ad41715/application", "externalId" : "a1cd796b-e6e0-4ea0-ac63-93f38ad41715", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delft", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.9994572,4.3627245" } ], "locationText" : "Delft, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Quantum computing, Chip characterization, RF engineering, Microwave engineering, Cryogenic systems", "professionalSkills" : [ "Systems engineering", "Technical program management", "Lead engineering", "Technical execution", "System-level trade-offs", "Experimental strategies", "Capability gap analysis", "Team growth strategy", "Cross-functional coordination", "Pragmatic progress", "Risk identification", "Resource constraint management", "Contingency planning", "Strategy adaptation", "Stakeholder management" ], "hardSkillsList" : [ "Metrology methods", "Automated tooling", "High-throughput screening" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Metrology methods", "level" : "intermediate" }, { "name" : "Automated tooling", "level" : "intermediate" }, { "name" : "High-throughput screening", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Device metrology, Tool development, Quantum processors", "majorSkillsList" : [ "Device metrology", "Tool development", "Quantum processors" ], "coreResponsibilities" : "Coordinate technical work, Develop scalable metrology methods, Develop automated tooling, Screen quantum devices, Balance project management, Provide technical breadth, Guide tool lifecycle, Identify critical path, Prioritize and sequence tasks, Ensure team moves forward, Synthesize inputs, Guide project direction, Make system-level trade-offs, Evaluate experimental strategies, Validate outcomes, Identify capability gaps, Shape team growth, Shape hiring strategies, Lead technical project team, Support technical project team, Work with design experts, Work with fabrication experts, Work with measurement experts, Ensure coherent R&D cycle, Balance scientific rigor, Anticipate technical risks, Manage engineering bottlenecks, Manage resource constraints, Plan for failure modes, Establish flexible contingencies, Adapt project strategies, Act as technical interface, Act as point of contact", "teamCollaboration" : "Cross-functional streams; Design, fabrication, measurement", "projectManagementSkills" : [ "Project management", "Roadmap planning" ], "domainKnowledge" : "Quantum computing; Semiconductor metrology; Complex hardware systems; VIO technology; MegaQubit processors", "domainList" : [ "quantum-computing", "semiconductor-metrology", "complex-hardware-systems", "vio-technology", "megaqubit-processors" ], "domainSpecificKnowledge" : [ "Quantum computing", "Semiconductor metrology", "Complex hardware systems", "VIO technology", "MegaQubit processors" ], "communicationSkills" : "Lucid thinking; Communicator", "continuousLearning" : "Personal growth; L&D budget", "innovationCreativity" : "R&D project", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Deliver results", "qualificationsBasic" : "4+ years project lead, Master's degree or PhD, Foundational understanding R&D lifecycle, Exposure chip characterization, Exposure RF / microwave engineering, Exposure cryogenic systems, Comfortable taking initiative, Navigating ambiguity, Authoritative project decisions", "qualificationsPreferred" : "Deep technical expertise", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT US QuantWare is building the world’s most powerful quantum processors to solve humanity's greatest challenges. We do this with our unique VIO™ technology, the only QPU architecture that breaks the hardware barriers that have held quantum computing back, unlocking the path to MegaQubit quantum processors. With VIO, we are paving the way for the hyper-scale quantum computers that will change the world. And delivering on that vision demands people who don’t shy away from tackling the hardest challenges of our time. That’s where you come in! YOUR ROLE As the Device Metrology Tool Development Lead, you will coordinate technical work for the research and development project focused on developing scalable metrology methods and automated tooling for high-throughput screening of quantum devices. In this role, you will balance project management with technical execution, providing the overarching technical breadth required to guide the tool's lifecycle from concept to deployment. RESPONSIBILITIES: Drive Project Progress - Identify and manage the critical path of the project. - Prioritise and sequence tasks based on impact, resource availability, and technical dependencies. - Ensure the team moves forward in a focused, efficient, and aligned manner. Technical Oversight & Decision-Making - Synthesize inputs from various engineering and scientific domains to guide project direction and make key system-level trade-offs. - Leverage the deep technical expertise within the team to evaluate experimental strategies and validate outcomes. - Identify capability gaps within the project framework and help shape team growth or hiring strategies to meet milestones. Coordinate Team and Cross-Functional Efforts - Lead and support the technical project team day-to-day. - Work closely with experts across design, fabrication, and measurement disciplines to ensure a coherent and efficient R&D cycle. - Balance scientific rigor with pragmatic, milestone-driven progress. Anticipate and Manage Uncertainty - Identify technical risks, engineering bottlenecks, and resource constraints early. - Plan for potential failure modes and establish flexible contingencies. - Adapt project strategies dynamically as new data and technical insights emerge. External Stakeholder Management - Act as a primary technical interface and point of contact for external development partners and collaborators. PROFILE - Experience: 4+ years working as a project lead, systems engineer, technical program manager, or lead engineer in a deep-tech industry (e.g., quantum computing, semiconductor metrology tooling, aerospace, or complex hardware systems). - Education: Master’s degree or PhD in Physics, Engineering, or a related technical field. - Technical Breadth: Strong foundational understanding of the R&D lifecycle (design - produce - measure), with exposure to chip characterization, RF / microwave engineering, or cryogenic systems. You don't need to be the hands-on experimentalist, but you must speak their language. - Leadership Style: Comfortable taking initiative, navigating ambiguity, and making authoritative project decisions across cross-functional streams. - Mindset: A lucid thinker and strong communicator who is pragmatic and ruthlessly focused on delivering results over micropolishing features. WHAT WE OFFER: At QuantWare, you’ll be part of a high-performing team of world-class experts in an ambitious, fast-moving environment. From day one, you’ll have the trust, tools, and support to do your best work. Here’s what you can expect: - Competitive salary - A salary that reflects the impact and importance of the role (and of course 8% holiday allowance) - Pension that’s built to last - A generous and future-proof pension plan that includes partner and dependent coverage. - Flexibility built on trust - We focus on outcomes. Work flexibly, in a hybrid setup, with an open vacation policy that lets you manage your time - Personal growth - We invest in your L&D, with a budget available to each team member, dependent on their individual ambitions, development needs, and performance - A connected team - We make space to celebrate wins together, with team events, offsites, and spontaneous moments that bring us closer DIVERSITY & INCLUSION AT QUANTWARE We’re an ambitious company, not only for our goals but also to become an even more diverse and inclusive team. We know this helps us with better decisions, more innovation, and strengthens our culture. In particular, we’d love to see more women in the quantum industry! So if you’re a female talent, excited about this opportunity but don’t meet every single requirement, we still encourage you to apply. As part of our recruitment process, candidates may be required to undergo pre-employment screening.", "summaryDescription" : "Device Metrology Tool Development Lead at QuantWare. Skills: Device metrology, Tool development, Quantum processors. Coordinate technical work. Develop scalable metrology methods", "createdAt" : "2026-06-14T09:31:41.330", "lastUpdated" : "2026-06-15T10:18:42.765", "ingestTimestamp" : "2026-06-14T09:31:41.330", "mongoId" : "6a2c759074d8ee00a093765c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Metrology methods", "Automated tooling", "High-throughput screening", "Leadership", "Device metrology", "Tool development", "Quantum processors", "Systems engineering", "Technical program management", "Lead engineering", "Technical execution", "System-level trade-offs", "Experimental strategies", "Capability gap analysis", "Team growth strategy", "Cross-functional coordination", "Pragmatic progress", "Risk identification", "Resource constraint management", "Contingency planning", "Strategy adaptation", "Stakeholder management", "Project management", "Roadmap planning", "Quantum computing", "Semiconductor metrology", "Complex hardware systems", "VIO technology", "MegaQubit processors" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104422beec4dd3def2879", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T03:14:31.259", "fingerprint" : "64ba158c6bde342a4eaa34cce4e9d94388c627c001015cce5015eac9b02f64a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385985/apply", "externalId" : "ef8562eb-cdcd-47cc-a5f9-8a6e9117a387", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, Generative AI, AI, Python, Java, C++, LLMs", "professionalSkills" : [ "Ad tech", "Shopping experiences", "Product development", "Engineering solutions", "Science solutions", "Data analysis", "Model development", "Model validation", "Model serving", "Science vision", "Business understanding" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning modeling", "Proof-of-concept development", "Model experimentation", "Model optimization", "Model deployment", "A/B testing", "Data analysis", "Machine learning", "Model validation", "Model serving", "Large language models", "Model fine tuning", "Prompt engineering" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Proof-of-concept development", "level" : "intermediate" }, { "name" : "Model experimentation", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Model fine tuning", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Generative AI, Data Science, Ad Tech", "majorSkillsList" : [ "Machine Learning", "Generative AI", "Data Science", "Ad Tech" ], "coreResponsibilities" : "Drive Machine Learning projects, Perform data analysis, Perform data modeling, Develop insights, Build machine learning models, Perform proof-of-concept, Experiment with models, Optimize models, Deploy models, Work with software engineers, Assist in productionizing models, Run A/B experiments, Gather data, Perform statistical analysis, Establish scalable processes, Establish efficient processes, Establish automated processes, Research machine learning approaches", "teamCollaboration" : "External partners; Internal partners; Software engineers; Product teams; Engineering teams", "domainKnowledge" : "Sponsored Products; Sponsored Brands; Advertising landscape; Generative AI; Ad tech; Shopping experiences; Digital advertising; Large language models", "domainList" : [ "sponsored-products", "sponsored-brands", "advertising-landscape", "generative-ai", "ad-tech", "shopping-experiences", "digital-advertising", "large-language-models" ], "domainSpecificKnowledge" : [ "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Generative AI", "Ad tech", "Shopping experiences", "Digital advertising", "Large language models" ], "innovationCreativity" : "Re-imagining advertising; Re-inventing advertising experiences; Innovators; Invent new experiences; Experiment; Innovate", "problemSolvingSkills" : "Solving complex challenges", "outcomesObjectives" : "Increase traffic monetization; Increase merchandise sales; Drive results at scale; Help suppliers grow business; Influence customer-facing experiences", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, PhD and 4+ years experience, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience in algorithms, Experience in data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "PhD preferred, Experience in search advertising, Experience in search marketing, Experience in performance advertising, Technical fluency in Generative AI, Deep understanding of LLMs, Deep understanding of model fine tuning, Deep understanding of prompt engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. As an Applied Scientist on this team, you will: - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in professional software development - Experience in search advertising, search marketing, performance advertising, or similar digital advertising - Strong technical fluency in Generative AI - Deep understanding of large language models (LLMs), model fine tuning and prompt engineering - Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Machine Learning, Generative AI, Data Science, Ad Tech. Drive Machine Learning projects. Perform data analysis", "postedDate" : "2026-06-13T09:41:42.509", "createdAt" : "2026-06-13T09:41:42.509", "lastUpdated" : "2026-06-15T03:14:31.259", "ingestTimestamp" : "2026-06-13T09:41:42.509", "mongoId" : "69e104422beec4dd3def2879", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385985/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning modeling", "Proof-of-concept development", "Model experimentation", "Model optimization", "Model deployment", "A/B testing", "Data analysis", "Machine learning", "Model validation", "Model serving", "Large language models", "Model fine tuning", "Prompt engineering", "Machine Learning", "Generative AI", "Data Science", "Ad Tech", "Ad tech", "Shopping experiences", "Product development", "Engineering solutions", "Science solutions", "Model development", "Science vision", "Business understanding", "Sponsored Products", "Sponsored Brands", "Advertising landscape", "Digital advertising" ], "skillCount" : 31, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c693474d8ee00a09067cd", "title" : "Engineering Manager — Device Verification & Test", "company" : "Morse Micro", "industry" : "DVT", "salary" : { "min" : 180000.0, "max" : 275000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Engineering Manager in Sydney, Australia, adjusted for seniority and industry." }, "location" : "Sydney", "locations" : [ "Sydney" ], "timestamp" : "2026-06-15T09:32:16.558", "fingerprint" : "9b7587c9856f4ef3d1a1f2653e0a82461927f08ad639cd0bd47efee24456dc8b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/morse-micro/f45d62ca-a5ed-4bef-845d-676b4e186d9e/application", "externalId" : "f45d62ca-a5ed-4bef-845d-676b4e186d9e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "RF, Wireless, Python, AI tooling", "professionalSkills" : [ "Technical execution", "Data analysis", "Anomaly detection", "Report generation", "Product validation", "Release readiness", "NPI execution", "Test development", "Load board qualification", "Manufacturing readiness", "Failure analysis", "Root cause analysis" ], "hardSkillsList" : [ "RF performance", "Throughput", "Range", "Power consumption", "Sleep behaviour", "Interference resilience", "Stability testing", "Tx/Rx characterisation", "EVM", "Sensitivity", "Current consumption", "Over-the-air measurements", "RF circuit fundamentals", "Matching networks", "Antenna integration", "ATE test development", "Yield analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "RF performance", "level" : "intermediate" }, { "name" : "Throughput", "level" : "intermediate" }, { "name" : "Range", "level" : "intermediate" }, { "name" : "Power consumption", "level" : "intermediate" }, { "name" : "Sleep behaviour", "level" : "intermediate" }, { "name" : "Interference resilience", "level" : "intermediate" }, { "name" : "Stability testing", "level" : "intermediate" }, { "name" : "Tx/Rx characterisation", "level" : "intermediate" }, { "name" : "EVM", "level" : "intermediate" }, { "name" : "Sensitivity", "level" : "intermediate" }, { "name" : "Current consumption", "level" : "intermediate" }, { "name" : "Over-the-air measurements", "level" : "intermediate" }, { "name" : "RF circuit fundamentals", "level" : "intermediate" }, { "name" : "Matching networks", "level" : "intermediate" }, { "name" : "Antenna integration", "level" : "intermediate" }, { "name" : "ATE test development", "level" : "intermediate" }, { "name" : "Yield analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Device Verification, Test Automation, RF Testing", "majorSkillsList" : [ "Device Verification", "Test Automation", "RF Testing" ], "coreResponsibilities" : "Lead DVT team, Own DVT roadmap, Align priorities, Drive characterisation, Qualify new silicon, Test RF performance, Test throughput, Test power, Test sleep, Test interference, Test stability, Establish sample coverage, Characterise spread, Set datasheet limits, Set production limits, Provide release recommendations, Maintain device regression coverage, Partner with Hardware, Partner with Systems, Partner with Software, Partner with Software Validation, Partner with Product Engineering, Partner with Operations, Oversee ATE test development, Develop test programs, Qualify load boards, Correlate test results, Handoff to production, Improve validation throughput, Use automation, Use CI, Use dashboards, Use structured data stores, Use AI-assisted analysis, Use AI-assisted reporting, Maintain test infrastructure, Evolve test infrastructure, Support failure analysis, Feed findings back, Set priorities, Manage workload, Communicate outcomes, Communicate risks, Communicate recommendations", "teamCollaboration" : "Hardware; Systems; Software; Software Validation; Product Engineering; Operations", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Wi-Fi HaLow; Wi-Fi; 802.11ah; IoT; Semiconductor; RF ICs; Wireless standards; IC production test; NPI process; High-volume manufacturing", "domainList" : [ "wi-fi-halow", "wi-fi", "802-11ah", "iot", "semiconductor", "rf-ics", "wireless-standards", "ic-production-test", "npi-process", "high-volume-manufacturing" ], "domainSpecificKnowledge" : [ "Wi-Fi HaLow", "Wi-Fi", "802.11ah", "IoT", "Semiconductor", "RF ICs", "Wireless standards", "IC production test", "NPI process", "High-volume manufacturing" ], "toolProficiency" : [ "LitePoint", "Jenkins", "Teradyne UltraFLEX" ], "communicationSkills" : "Written communication; Verbal communication; Frame tests clearly; Explain trade-offs; Present recommendations", "innovationCreativity" : "AI tooling", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "BS/MS in Electrical Engineering, 10+ years semiconductor validation, 3+ years leading team, RF and wireless test fundamentals, Hands-on RF hardware experience, Validating complex wireless products, Experience with lab equipment, Python test automation experience, Scaling validation automation, Work across Hardware, Systems, Software, Excellent written and verbal communication, Interest in applying AI tooling", "qualificationsPreferred" : "Background in Wi-Fi, ATE test program development, Experience designing RF load boards, Familiarity with IC production test, High-volume production testing, Data analysis tools, Experience with relational data stores", "workSiteFlexibility" : "Flexible", "rawDescription" : "Morse Micro is at the forefront of next-generation Wi-Fi technology, delivering breakthrough solutions that redefine wireless connectivity. Our innovative products are designed to meet the demands of the rapidly evolving market, providing superior performance and reliability. ABOUT THE ROLE Based in Sydney and reporting to senior engineering leadership, you will lead our Device Verification & Test team. This team characterises and qualifies Morse Micro’s Wi-Fi HaLow silicon, modules, and reference designs across RF performance, throughput-vs-range, power consumption, sleep behaviour, interference resilience, and stability across voltage and temperature corners. This is a hands-on engineering leadership role. You will set the DVT roadmap, guide technical execution, and ensure the team’s data supports datasheets, production screening limits, customer commitments, and product release decisions. You will work closely with Hardware, Systems, Software, Software Validation, Product Engineering, and Operations to keep validation aligned with chip programs, module releases, and software release cadences. You will also own the bridge from characterisation to production test, leading our ATE test development program and supporting load board qualification, NPI handoff, and high-volume manufacturing readiness. We are also looking for someone excited about using AI tooling pragmatically to improve validation productivity across test automation, data analysis, anomaly detection, and report generation. KEY RESPONSIBILITIES - Lead the DVT team and own its roadmap, aligning priorities with silicon programs, module releases, reference designs, and software release cadences. - Drive characterisation and qualification of new silicon, modules, and reference designs after hardware bring-up, including RF, throughput, power, sleep, interference, and stability testing. - Establish sample coverage, characterise spread, set datasheet and production-screening limits, and provide clear recommendations for release decisions. - Maintain device-level regression coverage so firmware, driver, hardware, and configuration changes do not silently shift RF performance, power consumption, or link behaviour. - Partner with Hardware, Systems, Software, Software Validation, Product Engineering, and Operations on product validation, release readiness, and NPI execution. - Oversee ATE test development for RF SoCs, including test program development, load board qualification, correlation, and production handoff. - Improve validation throughput using automation, CI, dashboards, structured data stores, and AI-assisted analysis and reporting. - Maintain and evolve the team’s test infrastructure, including LitePoint-based RF setups, lab automation, Jenkins CI, DVT dashboards, and test data pipelines. - Support failure analysis on customer returns and feed findings back into design, validation, and production test flows. - Set priorities, manage workload, and communicate outcomes, risks, and recommendations clearly to engineering leadership. REQUIRED SKILLS & EXPERIENCE - BS/MS in Electrical Engineering, Systems Engineering, or a related discipline. - 10+ years in semiconductor, RF, wireless, or connected-product validation, including 3+ years leading an engineering team. - Strong grounding in RF and wireless test fundamentals, including Tx/Rx characterisation, EVM, sensitivity, current consumption, interference testing, and over-the-air measurements. - Hands-on RF hardware experience, including RF circuit fundamentals, matching networks, antenna integration, and interpreting how design choices appear in measured results. - Demonstrated experience validating complex wireless products through characterisation, qualification, and release. - Experience with lab equipment such as LitePoint, spectrum analysers, signal generators, VNAs, power meters, and automated test setups. - Strong Python test automation experience. - Track record scaling validation automation using CI, Jenkins or equivalent infrastructure, data pipelines, dashboards, and structured reporting. - Proven ability to work across Hardware, Systems, Software, Software Validation, Product Engineering, and Operations to drive validation outcomes. - Excellent written and verbal communication, with the ability to frame tests clearly, explain trade-offs, and present recommendations to engineering leadership. - Interest in applying AI tooling to test automation, data analysis, anomaly detection, and reporting. DESIRABLE - Background in Wi-Fi or related wireless standards. - ATE test program development for RF ICs (Teradyne UltraFLEX or similar). - Experience designing or reviewing RF load boards. - Familiarity with IC production test flows and the NPI process. - High-volume production testing, yield analysis, and characterisation reporting. - Data analysis tools — Python, JMP, or equivalent. - Experience with relational data stores (e.g. MySQL) for managing test data at scale. WHAT WE OFFER - Competitive salary + excellent stock option package - Performance bonus opportunity - Income protection insurance - Healthy work environment with sit/stand desks and large screens - Lots of snacks & drinks, including barista coffee, Friday team lunches & some of the world’s best beers - Flexible working hours - Work from home policy - Community & social groups and much more - Join a high performing, inclusive company where you can make a real impact WHO WE ARE Morse Micro is Australia’s largest semiconductor company building Wi-Fi HaLow (802.11ah) chips for the Internet of Things (IoT). We are a team of wireless experts that love to work hard, innovate, and invent. Together, we are building the world’s lowest power Wi-Fi technology that will enable billions of IoT devices to connect securely to the internet. We are a global team with offices in Sydney, Picton & Melbourne (Australia), Irvine, Bay Area & Boston (USA), Bangalore (India), Cambridge (UK), Hangzhou (China), Taipei (Taiwan) and Tokyo (Japan).", "summaryDescription" : "Engineering Manager — Device Verification & Test at Morse Micro. Skills: Device Verification, Test Automation, RF Testing. Lead DVT team. Own DVT roadmap", "createdAt" : "2026-06-14T04:01:26.997", "lastUpdated" : "2026-06-15T09:32:16.558", "ingestTimestamp" : "2026-06-14T04:01:26.997", "mongoId" : "6a2c693474d8ee00a09067cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "RF performance", "Throughput", "Range", "Power consumption", "Sleep behaviour", "Interference resilience", "Stability testing", "Tx/Rx characterisation", "EVM", "Sensitivity", "Current consumption", "Over-the-air measurements", "RF circuit fundamentals", "Matching networks", "Antenna integration", "ATE test development", "Yield analysis", "Leadership", "Device Verification", "Test Automation", "RF Testing", "Technical execution", "Data analysis", "Anomaly detection", "Report generation", "Product validation", "Release readiness", "NPI execution", "Test development", "Load board qualification", "Manufacturing readiness", "Failure analysis", "Root cause analysis", "Roadmap planning", "Wi-Fi HaLow", "Wi-Fi", "802.11ah", "IoT", "Semiconductor", "RF ICs", "Wireless standards", "IC production test", "NPI process", "High-volume manufacturing", "LitePoint", "Jenkins", "Teradyne UltraFLEX" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1dd70f0b99d58d66e9e", "title" : "Applied Scientist, Sponsored Products", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:25:53.024", "fingerprint" : "5c01477a2e5ba29dc61ba14b1260c332d145e28c807cbcb832f7513ec0b41e82", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102454/apply", "externalId" : "374c6041-bf26-493d-9425-b8211c84cb9b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, Deep learning, Multi-objective optimization, Reinforcement learning, LLMs, Machine learning, Probabilistic modeling, Optimization, Foundation models, Multi-modal modeling, Few-shot learning, Retrieval-augmented generation, RLHF", "professionalSkills" : [ "Ad retrieval", "Ad auctions", "Whole-page relevance", "Shopping experiences", "Ad creation", "Ad optimization", "Performance analysis", "Customer insights", "Ad ranking", "Recommendation systems", "Search", "Personalization", "Auction theory", "Ad economics", "Advertiser performance" ], "hardSkillsList" : [ "Model development", "Model deployment", "Fine-tuning", "A/B testing", "Metrics design" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Large Language Models, Deep Learning, Optimization", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Deep Learning", "Optimization" ], "coreResponsibilities" : "Contribute to design and development of GenAI solutions, Transform ad retrieval, Transform ad auctions, Transform whole-page relevance, Transform bespoke shopping experiences, Collaborate cross-functionally with scientists, engineers, and product managers, Bring scalable, production-ready science solutions to life, Stay abreast of industry trends in GenAI, LLMs, Bring fresh concepts, ideas, and prototypes to organization, Contribute to enhancement of team’s scientific and technical, Identify and implement best-in-class algorithms, Implement best-in-class methodologies, Implement best-in-class infrastructure, Enable rapid experimentation, Enable scaling, Mentor junior scientists, Mentor junior engineers, Grow junior scientists, Grow junior engineers, Cultivate high-performing team, Cultivate intellectually curious team, Contribute to development in Generative AI, Contribute to development in Large Language Models, Revolutionize advertising flow, Revolutionize backend optimization, Revolutionize frontend shopping experiences, Transform ad allocation, Transform differentiated recommendations, Build novel generative models, Shape how customers engage with ads, Shape how customers discover products, Shape customer purchasing decisions, Build delightful ad experiences, Drive monetization, Deliver personalized advertising, Deliver context-aware advertising, Adapt advertising to shopper preferences, Scale advertising across diverse page types, Integrate advertising with organic recommendations, Lead expansion and growth of advertising, Operate full stack, Design backend ads-retail edge services, Design ads retrieval, Design ad auctions, Design shopper-facing experiences", "teamCollaboration" : "Cross-functionally with scientists; Cross-functionally with engineers; Cross-functionally with product managers; Partnership with Amazon Stores stakeholders", "domainKnowledge" : "Computational advertising; Auction theory; Ad economics; Advertiser performance metrics", "domainList" : [ "computational-advertising", "auction-theory", "ad-economics", "advertiser-performance-metrics" ], "domainSpecificKnowledge" : [ "Computational advertising", "Auction theory", "Ad economics", "Advertiser performance metrics" ], "communicationSkills" : "Communicate complex technical topics", "innovationCreativity" : "Innovative concepts; Innovative ideas; Prototype development", "qualificationsBasic" : "Master's degree and 4+ years experience, 3+ years building models, Experience programming in Java, C++, Python, Foundation in GenAI, LLMs, ML, DL, probabilistic modeling, optimization, Experience deploying models in production", "qualificationsPreferred" : "Expertise in Generative AI, foundation models, LLMs, Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization, Deep understanding of multi-modal modeling, few-shot learning, RAG, or RLHF, Experience with online experimentation, A/B testing frameworks, and metrics design, Ability to communicate complex technical topics clearly, Experience in computational advertising", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. - Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life. - Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. - Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization. - Experience developing and deploying models in real-world production environments. Preferred Qualifications: - Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks. - Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. - Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF). - Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce. - Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences. - Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Deep Learning, Optimization. Contribute to design and development of GenAI solutions. Transform ad retrieval", "postedDate" : "2026-06-13T08:41:06.379", "createdAt" : "2026-06-13T08:41:06.379", "lastUpdated" : "2026-06-15T04:25:53.024", "ingestTimestamp" : "2026-06-13T08:41:06.379", "mongoId" : "68e6b1dd70f0b99d58d66e9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102454/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model development", "Model deployment", "Fine-tuning", "A/B testing", "Metrics design", "Mentoring", "Generative AI", "Large Language Models", "Deep Learning", "Optimization", "Ad retrieval", "Ad auctions", "Whole-page relevance", "Shopping experiences", "Ad creation", "Ad optimization", "Performance analysis", "Customer insights", "Ad ranking", "Recommendation systems", "Search", "Personalization", "Auction theory", "Ad economics", "Advertiser performance", "Computational advertising", "Advertiser performance metrics" ], "skillCount" : 27, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca45e74d8ee00a09b17c6", "title" : "Medical Affairs Scientist", "company" : "OGT", "industry" : "Biotech", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Medical Affairs Scientist in Cambridge, UK, adjusted for the Biotech industry and contract employment type." }, "location" : "418 Cambridge Science Park Milton Road Cambridge Cambridgeshire CB4 0PZ", "locations" : [ "418 Cambridge Science Park Milton Road Cambridge Cambridgeshire CB4 0PZ" ], "timestamp" : "2026-06-15T04:57:45.062", "fingerprint" : "7199ae3b3016441b2d48c26c19461477f22b25869bdff27982981c015b72de33", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/ogt/jobs/4861819101", "externalId" : "4861819101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Cambridgeshire", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, Cambridgeshire, United Kingdom", "employmentType" : "CONTRACT", "technicalSkills" : "FISH, Cytogenetics, G banding, Reverse DAPI FISH", "professionalSkills" : [ "Project coordination", "Data interpretation", "Scientific reporting", "Clinical reporting", "Analytical reporting" ], "hardSkillsList" : [ "Analytical techniques", "Karyotype analysis", "Microscope analysis" ], "hardSkills" : [ { "name" : "Analytical techniques", "level" : "intermediate" }, { "name" : "Karyotype analysis", "level" : "intermediate" }, { "name" : "Microscope analysis", "level" : "intermediate" } ], "majorSkills" : "Genomic solutions, Clinical performance data, Cytogenetics analysis", "majorSkillsList" : [ "Genomic solutions", "Clinical performance data", "Cytogenetics analysis" ], "coreResponsibilities" : "Contribute to documentation, Contribute to infrastructure, Oversee writing protocols, Oversee writing study plans, Oversee writing reports, Participate in study design, Implement studies, Deliver studies, Identify external laboratories, Engage external clinicians, Engage partners, Obtain clinical data, Support external studies, Coordinate external studies, Collaborate data sharing, Collaborate contracting activities, Collaborate internal stakeholders, Collaborate external stakeholders, Support project delivery, Manage project activities, Coordinate project activities, Analyse data, Interpret data, Deliver scientific reports, Deliver clinical reports, Deliver analytical reports, Ensure timely reporting, Ensure accurate reporting, Provide clinical input, Provide scientific input, Contribute to quality management, Provide input internal protocols, Implement CAPAs, Implement change controls, Implement improvements, Support validation activities, Support maintenance risk management, Provide training analysts, Provide training assistants, Provide analytical teaching, Analysis FFPE specimens, Analysis haematological specimens, Complete other tasks", "teamCollaboration" : "Work as part of team; Collaborate with internal stakeholders; Collaborate with external stakeholders; Collaboration data sharing; Collaboration contracting activities", "projectManagementSkills" : [ "Project coordination" ], "domainKnowledge" : "Clinical diagnostics; Molecular testing; Genomic solutions; Diagnostic techniques; ISO 14971; Karyotype analysis; G banding; FISH images; Haematological specimens; FFPE specimens", "domainList" : [ "clinical-diagnostics", "molecular-testing", "genomic-solutions", "diagnostic-techniques", "iso-14971", "karyotype-analysis", "g-banding", "fish-images", "haematological-specimens", "ffpe-specimens" ], "domainSpecificKnowledge" : [ "Clinical diagnostics", "Molecular testing", "Genomic solutions", "Diagnostic techniques", "ISO 14971", "Karyotype analysis", "G banding", "FISH images", "Haematological specimens", "FFPE specimens" ], "toolProficiency" : [ "Manual microscopes", "Automated software" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Technical documentation; Scientific documentation; Clinical documentation; Analytical documentation; Study protocols; Study plans; Product brochures; Catalogues", "problemSolvingSkills" : "Data interpretation", "outcomesObjectives" : "Deliver scientific reports; Deliver clinical reports; Deliver analytical reports; Ensure timely reporting; Ensure accurate reporting", "qualificationsBasic" : "Bachelor's degree in molecular biology, Knowledge of FISH, Knowledge of cytogenetics techniques, Understanding of clinical diagnostics, Understanding of laboratory workflows, Understanding of molecular testing, Engage confidently with external partners, Proactively drive activities forward, Drafting study protocols, Understanding of study design, Interpret clinical data, Interpret diagnostic data, Experience handling sensitive data, Experience handling clinical data", "qualificationsPreferred" : "Cytogenetics experience NHS, Data acquisition experience, Clinical studies experience, External collaborations experience, Supporting contracts experience, Supporting agreements experience, Supporting study arrangements experience, Familiarity with disease areas, Familiarity with sample types, Familiarity with testing approaches, Awareness of commercial environments, Awareness of customer-facing environments, Supporting clinical performance evaluations, Supporting validation activities, Supporting regulatory activities, Cytogenetics experience, Karyotype analysis experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "OGT is a leading global provider of clinical and diagnostic genomic solutions. We believe in creating products and partnerships that enable clinicians to deliver personalised healthcare to patients and that empower clinical researchers to develop the next generation of precision medicines. ** This position is a fixed-term contract, ending in December 2028 ** Our Medical Affairs Scientists are knowledgeable individuals who are passionate about ensuring that OGT’s products are safe, effective, and fit for purpose, thus allowing them to be available globally and state of the art. You will play an integral role in the delivery of internal and external analytical and clinical performance data for a range of OGT products. What you’ll be doing for us: To work as part of a team in executing tasks as directed, but not limited to, the following activities: Contribute to the documentation and infrastructure of the department by overseeing the writing of internal and external protocols, study plans and reports Participate in the design, implementation and delivery of any required studies Identify and engage external laboratories, clinicians, and partners to obtain clinical performance data Support and coordinate external studies, including collaboration, data sharing, and contracting activities Collaborate with internal and external stakeholders to support project delivery Manage and coordinate projects activities from initiation through to completion Analyse and interpret data across diagnostic techniques and deliver scientific, clinical, and analytical reports in a timely manner Ensure timely and accurate reporting of study results Provide clinical/scientific input for product brochures, catalogues and other marketing materials when required Contribute to the quality management system and infrastructure of the department by providing input into internal protocols and implementation of CAPAs, change controls and improvements Support validation activities for team equipment and software, and support maintenance of risk management documentation in line with ISO 14971 Provide training and support to medical affairs analysts and assistants as appropriate Provision of analytical teaching within and outside of the medical affairs team as appropriate Analysis of FFPE and haematological specimens using manual microscopes and automated software Support karyotype analysis of G banding and reverse DAPI FISH images To complete any other tasks as commensurate with the level and nature of the post as delegated by the line manager. What we are looking for in you Essential A bachelor’s degree in molecular biology, biochemistry, genetics, biotechnology, or similar subject is required Knowledge of FISH and/or cytogenetics techniques and their clinical applications Understanding of clinical diagnostics, laboratory workflows, or molecular testing Ability to engage confidently with external partners, including laboratories, clinicians, and collaborators Proven ability to proactively drive activities forward Experience drafting study protocols or similar technical/scientific documentation Understanding of study design considerations, including objectives, endpoints and data requirements Strong organisational and project coordination skills, managing activities from initiation through to completion Ability to interpret clinical or diagnostic data, including comparison across different testing methodologies Experience handling sensitive or clinical data, with an understanding of data quality and governance requirements Excellent communication skills, both written and verbal. Desirable Cytogenetics experience in an NHS laboratory or equivalent Experience in data acquisition, clinical studies, or external collaborations Experience setting up or supporting contracts, agreements, or study arrangements with external partners Familiarity with disease areas, sample types, and appropriate testing approaches Awareness of commercial or customer-facing environments, particularly in diagnostics or life sciences Experience supporting clinical performance evaluations, validation, or regulatory activities Experience in cytogenetics and or Karyotype analysis. In return you will receive: Competitive salary Pension Scheme (10% non-contributory) Private Health Insurance Private Dental Insurance Group Income Protection Group Life Assurance 25 days holiday plus UK bank holidays High Street Discount Scheme. Application is via CV and a one-page covering letter outlining your suitability for the role, salary expectations and notice period. Please note that we will need to establish your right to work during the recruitment process.", "summaryDescription" : "Medical Affairs Scientist at OGT. Skills: Genomic solutions, Clinical performance data, Cytogenetics analysis. Contribute to documentation. Contribute to infrastructure", "postedDate" : "2026-06-14T04:33:45.977", "createdAt" : "2026-06-14T04:33:45.977", "lastUpdated" : "2026-06-15T04:57:45.062", "ingestTimestamp" : "2026-06-14T04:33:45.977", "mongoId" : "6a2ca45e74d8ee00a09b17c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Analytical techniques", "Karyotype analysis", "Microscope analysis", "Genomic solutions", "Clinical performance data", "Cytogenetics analysis", "Project coordination", "Data interpretation", "Scientific reporting", "Clinical reporting", "Analytical reporting", "Clinical diagnostics", "Molecular testing", "Diagnostic techniques", "ISO 14971", "G banding", "FISH images", "Haematological specimens", "FFPE specimens", "Manual microscopes", "Automated software" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306285f292fd229cf9a7fd", "title" : "Associate Scientist II, Production", "company" : "LGC Group", "industry" : "Biotechnology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Associate Scientist II in the Biotech industry in Middleton, United States, adjusted for junior seniority and company size." }, "location" : "Middleton, WI, United States", "locations" : [ "Middleton", "WI", "United States" ], "timestamp" : "2026-06-16T13:19:56.124", "fingerprint" : "2bfcd5e67e40888a1d3bc0b16e0744f65b430d800a71464ee21ab9fb19cce183", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LGCGroup/744000132214519-associate-scientist-ii-production", "externalId" : "744000132214519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Middleton", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0962919,-89.5119565" } ], "locationText" : "Middleton, Wisconsin, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PCR, SDS-PAGE, Western blotting, AKTA platform", "professionalSkills" : [ "Process development", "Production operations" ], "hardSkillsList" : [ "Protein purification", "Chromatography systems", "Dialysis operations", "Tangential Flow Filtration", "Buffer preparation", "Amplicon sequencing", "Recombinant proteins", "Bacteria fermentation", "Dilution calculations", "Pipetting techniques" ], "hardSkills" : [ { "name" : "Protein purification", "level" : "intermediate" }, { "name" : "Chromatography systems", "level" : "intermediate" }, { "name" : "Dialysis operations", "level" : "intermediate" }, { "name" : "Tangential Flow Filtration", "level" : "intermediate" }, { "name" : "Buffer preparation", "level" : "intermediate" }, { "name" : "Amplicon sequencing", "level" : "intermediate" }, { "name" : "Recombinant proteins", "level" : "intermediate" }, { "name" : "Bacteria fermentation", "level" : "intermediate" }, { "name" : "Dilution calculations", "level" : "intermediate" }, { "name" : "Pipetting techniques", "level" : "intermediate" } ], "majorSkills" : "Protein production, Protein purification, Quality control, Production maintenance", "majorSkillsList" : [ "Protein production", "Protein purification", "Quality control", "Production maintenance" ], "coreResponsibilities" : "Contribute to operations teams, Perform manufacturing activities, Perform quality control activities, Perform production maintenance activities, Assist purifying recombinant proteins, Prepare chromatography systems, Operate chromatography systems, Prepare dialysis operations, Operate dialysis operations, Prepare TFF operations, Operate TFF operations, Prepare buffer preparation, Provide technical support, Support kit manufacturing, Support protein production protocols, Process data, Record data, Analyze data, Identify events, Escalate events, Support process improvements, Support nonconformance reporting, Support investigations, Support corrective actions, Support preventative actions, Communicate results, Maintain cleanliness, Maintain orderliness, Learn quality management system, Follow quality management system", "teamCollaboration" : "Technical staff; Peers", "domainKnowledge" : "Molecular biology; Genomics; Process development; Production operations; Molecular diagnostics; Pharma biotech; Agrigenomics; NGS proteins; ISO 13485", "domainList" : [ "molecular-biology", "genomics", "process-development", "production-operations", "molecular-diagnostics", "pharma-biotech", "agrigenomics", "ngs-proteins", "iso-13485" ], "domainSpecificKnowledge" : [ "Molecular biology", "Genomics", "Process development", "Production operations", "Molecular diagnostics", "Pharma biotech", "Agrigenomics", "NGS proteins", "ISO 13485" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel", "PowerPoint" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Good documentation practices", "qualificationsBasic" : "Bachelor's degree in life sciences, Applicable industry experience, Prior experience operating laboratory equipment, Ability to follow standard operating procedures, Familiarity with biological techniques, Familiarity with analytical techniques, Interest in protein purification, Ability to learn protein purification, Working knowledge of Microsoft Office", "qualificationsPreferred" : "2+ years laboratory experience, Prior experience protein production, Prior experience protein purification, Experience reagent preparation, Experience dilution calculations, Experience precise pipetting, Experience PCR workflows, Experience amplicon sequencing workflows, Experience library preparation, Experience sample indexing, Experience handling oligonucleotides, Experience handling primer pools, Experience handling sequencing reagents, Experience supporting process development, Experience supporting process optimization, Experience supporting technology transfer, Experience with functional testing, Experience with bacteria fermentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "With manufacturing sites across the US, UK, Germany and Denmark, LGC Biosearch Technologies has plans to continue growing. We deliver mission critical genomics to our diverse customer base in molecular diagnostics, pharma/biotech and agrigenomics. Our integrated portfolio of products, services and expertise supports our purpose of Science for a Safer World and we have embodied our mission by working with customers to enable research into life-altering treatment for disease and illness worldwide. We are currently seeking candidates who are up for the challenge of operating in a high-growth, purpose-driven organisation. The Associate Scientist II, Production will manufacture enzymes for the Company’s various product lines. The position may expand to also support manufacture of additional product lines and development of new products, applications and businesses. To perform this job successfully, an individual must be able to perform each of the following essential functions satisfactorily: * Contribute to operations teams performing manufacturing, quality control, and production maintenance activities in a manner consistent with LGC-Lucigen’s ISO 13485 quality systems * Assist in purifying recombinant proteins from different expression systems * In accordance with designated procedures and work instructions, prepare and operate chromatography systems, dialysis/TFF operations, and buffer preparation * Provide dedicated technical support for the development, implementation, and routine execution of amplicon sequencing kit manufacturing processes * Support and follow protein production protocols geared towards robust and cost-effective supply of molecular biology/NGS proteins * Process, record, and analyze data following approved protocols and using good documentation practices * Identify and escalate events that deviate from normal operation * Support process improvements, nonconformance reporting, investigations, and corrective/preventative actions as assigned * Effectively communicate results to the LGC-Lucigen team * Maintain cleanliness and orderliness of operational area * Conscientiously learn and diligently follow the requirements of the site’s quality management system * Perform other duties as required or assigned to meet business needs ## Qualifications Education/Experience/Licenses/Certifications Minimum Qualifications: * Bachelor’s degree in relevant life sciences field (molecular biology, microbiology, biochemistry, etc.)—or applicable industry experience * Prior experience operating standard laboratory equipment (e.g. pH meters, conductivity meters, pipettes) * Ability to follow standard operating procedures (SOP’s) and/or manufacturing protocols * Familiarity with standard biological and analytical techniques, including PCR, SDS-PAGE, and western blotting * Interest in and ability to learn protein purification using both manual and automated systems (AKTA platform), depth-filtration, and Tangential Flow Filtration operations * Working knowledge of Microsoft Office, including Word, Excel, and PowerPoint Preferred Qualifications: * 2+ years of laboratory experience in molecular biology, genomics, process development, or production operations. * Prior experience with protein production and purification in an industrial setting * Experience performing reagent preparation, dilution calculations, and precise pipetting techniques. * Experience with PCR and amplicon sequencing workflows, including library preparation and sample indexing. * Experience handling oligonucleotides, primer pools, or sequencing reagents. * Experience supporting process development, optimization, or technology transfer activities. * Experience with functional testing (PCR, LAMP, etc.) * Experience with bacteria fermentation Competencies & Behaviours: * Effective written and verbal communication skills with technical staff and peers * Ability to gather and organize information * Proven reliable work ethic, with the ability to follow standard operating procedures (SOPs) and work instructions to effectively meet production needs * Ability to work effectively both individually and in a team environment * Effective time management and organizational skills * Passion for continuous improvement, with demonstrated initiative and an ability to adapt to change in the environment * Aptitude to work in a complex and rapidly growing company * Results-oriented, ensuring targets are met on time and on budget * Must be highly accurate and detail-oriented * Demonstrated good professional judgment and reliability * Resonate and operate in line with LGC’s core value behaviors: Passion, Curiosity, Integrity, Brilliance, and Respect ## Additional Information ABOUT LGC: LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range. OUR VALUES * PASSION * CURIOSITY * INTEGRITY * BRILLIANCE * RESPECT EQUAL OPPORTUNITIES LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. For more information about LGC, please visit our website [www.lgcgroup.com](http://www.lgcgroup.com) #scienceforasaferworld", "summaryDescription" : "Associate Scientist II, Production at LGC Group. Skills: Protein production, Protein purification, Quality control, Production maintenance. Contribute to operations teams. Perform manufacturing activities", "postedDate" : "2026-06-15T14:14:49.000", "createdAt" : "2026-06-16T00:04:39.935", "lastUpdated" : "2026-06-16T13:19:56.124", "ingestTimestamp" : "2026-06-16T00:04:39.935", "mongoId" : "6a306285f292fd229cf9a7fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Protein purification", "Chromatography systems", "Dialysis operations", "Tangential Flow Filtration", "Buffer preparation", "Amplicon sequencing", "Recombinant proteins", "Bacteria fermentation", "Dilution calculations", "Pipetting techniques", "Protein production", "Quality control", "Production maintenance", "Process development", "Production operations", "Molecular biology", "Genomics", "Molecular diagnostics", "Pharma biotech", "Agrigenomics", "NGS proteins", "ISO 13485", "Microsoft Office", "Word", "Excel", "PowerPoint" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30522cf292fd229cf0bc81", "title" : "Associate Scientist II, Production", "company" : "LGC Group", "industry" : "Biotechnology", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Scientist II in the Biotech industry in Middleton, United States, adjusted for junior seniority and full-time employment." }, "location" : "Middleton, WI, United States", "locations" : [ "Middleton", "WI", "United States" ], "timestamp" : "2026-06-16T06:58:25.784", "fingerprint" : "7f9e415c06533daaecb37f5557fc4ea01279fe79a5becf6b994de3d837f219d6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LGCGroup/744000132214519-associate-scientist-ii-production", "externalId" : "744000132214519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Middleton", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0962919,-89.5119565" } ], "locationText" : "Middleton, Wisconsin, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "PCR, SDS-PAGE, Western blotting, AKTA platform", "professionalSkills" : [ "Technical support", "Process improvements", "Data analysis" ], "hardSkillsList" : [ "Protein purification", "Chromatography systems", "Buffer preparation", "Dilution calculations", "Pipetting techniques", "Library preparation", "Sample indexing", "Bacteria fermentation" ], "hardSkills" : [ { "name" : "Protein purification", "level" : "intermediate" }, { "name" : "Chromatography systems", "level" : "intermediate" }, { "name" : "Buffer preparation", "level" : "intermediate" }, { "name" : "Dilution calculations", "level" : "intermediate" }, { "name" : "Pipetting techniques", "level" : "intermediate" }, { "name" : "Library preparation", "level" : "intermediate" }, { "name" : "Sample indexing", "level" : "intermediate" }, { "name" : "Bacteria fermentation", "level" : "intermediate" } ], "majorSkills" : "Production, Quality control, Protein purification", "majorSkillsList" : [ "Production", "Quality control", "Protein purification" ], "coreResponsibilities" : "Contribute to operations teams, Perform manufacturing activities, Perform quality control activities, Perform production maintenance activities, Assist in purifying recombinant proteins, Prepare chromatography systems, Operate chromatography systems, Prepare dialysis operations, Operate dialysis operations, Prepare TFF operations, Operate TFF operations, Prepare buffer, Provide technical support, Support manufacturing processes, Support protein production protocols, Process data, Record data, Analyze data, Identify events, Escalate events, Support process improvements, Support nonconformance reporting, Support investigations, Support corrective actions, Communicate results, Maintain cleanliness, Maintain orderliness, Learn quality management system, Follow quality management system", "teamCollaboration" : "Technical staff; Peers", "domainKnowledge" : "Molecular biology; Genomics; Process development; Production operations; NGS proteins; Amplicon sequencing; Oligonucleotides; Sequencing reagents; Bacteria fermentation", "domainList" : [ "molecular-biology", "genomics", "process-development", "production-operations", "ngs-proteins", "amplicon-sequencing", "oligonucleotides", "sequencing-reagents", "bacteria-fermentation" ], "domainSpecificKnowledge" : [ "Molecular biology", "Genomics", "Process development", "Production operations", "NGS proteins", "Amplicon sequencing", "Oligonucleotides", "Sequencing reagents", "Bacteria fermentation" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel", "PowerPoint" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Good documentation practices", "qualificationsBasic" : "Bachelor's degree in relevant life sciences field, Applicable industry experience, Prior experience operating standard laboratory equipment, Ability to follow standard operating procedures, Familiarity with standard biological and analytical techniques, Interest in and ability to learn protein purification, Working knowledge of Microsoft Office", "qualificationsPreferred" : "2+ years of laboratory experience, Prior experience with protein production, Experience performing reagent preparation, Experience with PCR and amplicon sequencing workflows, Experience handling oligonucleotides, Experience supporting process development, Experience with functional testing, Experience with bacteria fermentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "With manufacturing sites across the US, UK, Germany and Denmark, LGC Biosearch Technologies has plans to continue growing. We deliver mission critical genomics to our diverse customer base in molecular diagnostics, pharma/biotech and agrigenomics. Our integrated portfolio of products, services and expertise supports our purpose of Science for a Safer World and we have embodied our mission by working with customers to enable research into life-altering treatment for disease and illness worldwide. We are currently seeking candidates who are up for the challenge of operating in a high-growth, purpose-driven organisation. The Associate Scientist II, Production will manufacture enzymes for the Company’s various product lines. The position may expand to also support manufacture of additional product lines and development of new products, applications and businesses. To perform this job successfully, an individual must be able to perform each of the following essential functions satisfactorily: * Contribute to operations teams performing manufacturing, quality control, and production maintenance activities in a manner consistent with LGC-Lucigen’s ISO 13485 quality systems * Assist in purifying recombinant proteins from different expression systems * In accordance with designated procedures and work instructions, prepare and operate chromatography systems, dialysis/TFF operations, and buffer preparation * Provide dedicated technical support for the development, implementation, and routine execution of amplicon sequencing kit manufacturing processes * Support and follow protein production protocols geared towards robust and cost-effective supply of molecular biology/NGS proteins * Process, record, and analyze data following approved protocols and using good documentation practices * Identify and escalate events that deviate from normal operation * Support process improvements, nonconformance reporting, investigations, and corrective/preventative actions as assigned * Effectively communicate results to the LGC-Lucigen team * Maintain cleanliness and orderliness of operational area * Conscientiously learn and diligently follow the requirements of the site’s quality management system * Perform other duties as required or assigned to meet business needs ## Qualifications Education/Experience/Licenses/Certifications Minimum Qualifications: * Bachelor’s degree in relevant life sciences field (molecular biology, microbiology, biochemistry, etc.)—or applicable industry experience * Prior experience operating standard laboratory equipment (e.g. pH meters, conductivity meters, pipettes) * Ability to follow standard operating procedures (SOP’s) and/or manufacturing protocols * Familiarity with standard biological and analytical techniques, including PCR, SDS-PAGE, and western blotting * Interest in and ability to learn protein purification using both manual and automated systems (AKTA platform), depth-filtration, and Tangential Flow Filtration operations * Working knowledge of Microsoft Office, including Word, Excel, and PowerPoint Preferred Qualifications: * 2+ years of laboratory experience in molecular biology, genomics, process development, or production operations. * Prior experience with protein production and purification in an industrial setting * Experience performing reagent preparation, dilution calculations, and precise pipetting techniques. * Experience with PCR and amplicon sequencing workflows, including library preparation and sample indexing. * Experience handling oligonucleotides, primer pools, or sequencing reagents. * Experience supporting process development, optimization, or technology transfer activities. * Experience with functional testing (PCR, LAMP, etc.) * Experience with bacteria fermentation Competencies & Behaviours: * Effective written and verbal communication skills with technical staff and peers * Ability to gather and organize information * Proven reliable work ethic, with the ability to follow standard operating procedures (SOPs) and work instructions to effectively meet production needs * Ability to work effectively both individually and in a team environment * Effective time management and organizational skills * Passion for continuous improvement, with demonstrated initiative and an ability to adapt to change in the environment * Aptitude to work in a complex and rapidly growing company * Results-oriented, ensuring targets are met on time and on budget * Must be highly accurate and detail-oriented * Demonstrated good professional judgment and reliability * Resonate and operate in line with LGC’s core value behaviors: Passion, Curiosity, Integrity, Brilliance, and Respect ## Additional Information ABOUT LGC: LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range. OUR VALUES * PASSION * CURIOSITY * INTEGRITY * BRILLIANCE * RESPECT EQUAL OPPORTUNITIES LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. For more information about LGC, please visit our website [www.lgcgroup.com](http://www.lgcgroup.com) #scienceforasaferworld", "summaryDescription" : "Associate Scientist II, Production at LGC Group. Skills: Production, Quality control, Protein purification. Contribute to operations teams. Perform manufacturing activities", "postedDate" : "2026-06-15T14:14:49.000", "createdAt" : "2026-06-15T21:47:32.217", "lastUpdated" : "2026-06-16T06:58:25.784", "ingestTimestamp" : "2026-06-15T21:47:32.217", "mongoId" : "6a30522cf292fd229cf0bc81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Protein purification", "Chromatography systems", "Buffer preparation", "Dilution calculations", "Pipetting techniques", "Library preparation", "Sample indexing", "Bacteria fermentation", "Production", "Quality control", "Technical support", "Process improvements", "Data analysis", "Molecular biology", "Genomics", "Process development", "Production operations", "NGS proteins", "Amplicon sequencing", "Oligonucleotides", "Sequencing reagents", "Microsoft Office", "Word", "Excel", "PowerPoint" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2527eb74d8ee00a00ee143", "title" : "Product Development Engineering Senior Scientist - Medical Device & Combination Products", "company" : "Vertex", "industry" : "Biotechnology", "salary" : { "min" : 126600.0, "max" : 189800.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Boston, MA", "locations" : [ "Boston, MA", "United States of America" ], "timestamp" : "2026-06-11T16:15:16.088", "fingerprint" : "563d1ba05ac39ab8c2064fef8e9c015e7baaafa6c29f0068ee463e4d23b7300d", "source" : "workday", "language" : "en", "applyUrl" : "https://vrtx.wd501.myworkdayjobs.com/Vertex_Careers/job/Boston-MA/Product-Development-Engineering-Senior-Scientist---Medical-Device---Combination-Products_REQ-28758", "externalId" : "REQ-28758", "industryFunction" : { }, "locationPoint" : "7.87111,126.36417", "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Biocompatibility, DFMEA, UFMEA, PFMEA", "professionalSkills" : [ "Design History Documentation", "User Requirements", "Design Requirements", "Design Inputs", "Design Outputs", "Design Verification", "Design Validation", "Design Reviews", "Change Control", "Deviations", "Non-conformances", "Impact Assessment", "Investigations", "Quality System Documentation", "Process Development", "Manufacturing Purposes", "Test Methods", "Component selection", "Sub-system selection", "Assembly selection", "Test Method verification", "Test Method validation", "Statistical principles" ], "hardSkillsList" : [ "Risk Management", "Test Method Development", "Test Method Characterization", "Statistical analysis" ], "softSkillsList" : [ "Interpersonal skills", "Teamwork skills" ], "hardSkills" : [ { "name" : "Risk Management", "level" : "intermediate" }, { "name" : "Test Method Development", "level" : "intermediate" }, { "name" : "Test Method Characterization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Teamwork skills" } ], "majorSkills" : "Combination Product Development, Drug Delivery Systems, Risk Management, Design History File", "majorSkillsList" : [ "Combination Product Development", "Drug Delivery Systems", "Risk Management", "Design History File" ], "coreResponsibilities" : "Collaborate with cross-functional teams, Author design history documentation, Author Risk Analyses, Translate User Requirements, Correlate Design Inputs with Design Outputs, Support Design Verification Studies, Support Design Validation Studies, Lead Design Reviews, Manage Change Control, Manage Deviations, Manage Non-conformances, Assess Impact, Conduct Investigations, Update Design History File, Maintain Design History File, Review Design Documentation, Revise Design Documentation, Review Quality System Documentation, Revise Quality System Documentation, Ensure detail for Process Development, Ensure detail for Manufacturing, Align with User Requirements, Align with Functional Requirements, Align with Design Inputs", "teamCollaboration" : "Cross-functional teams; Cross-functional team", "projectManagementSkills" : [ "Change Control", "Deviations", "Non-conformances" ], "domainKnowledge" : "Medical Device; Combination Products; Drug Delivery Systems; cGxP principles; ISO 13485; ISO 14971", "domainList" : [ "medical-device", "combination-products", "drug-delivery-systems", "cgxp-principles", "iso-13485", "iso-14971" ], "domainSpecificKnowledge" : [ "Medical Device", "Combination Products", "Drug Delivery Systems", "cGxP principles", "ISO 13485", "ISO 14971" ], "communicationSkills" : "Presentation skills; Technical writing", "documentationSkills" : "Design History Documentation; Design Documentation; Quality System Documentation; Technical writing", "problemSolvingSkills" : "Risk Management; Impact Assessment; Investigations", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "2+ years PhD experience, 5+ years MS experience, 8+ years BS experience, Author Risk Analyses, Manage Change Control, Perform Design History File maintenance, Familiar with C. T. Q. flow down, Experience with Medical Device Development, Experience with Combination Product Development, Experience leading Risk Management initiatives, Experience executing workstreams in matrixed environments, Experience with medical device packaging development, Experience with drug delivery packaging development, Experience with container closure integrity testing, Experience with mechanical performance testing, Understanding of cGxP principles, Understanding of ISO 13485, Understanding of ISO 14971, Understanding of 21 C. F. R. 820, Technical writing skills, Presentation skills, Work independently with supervision, Multi-task several projects, Support several projects simultaneously, Demonstrate interpersonal skills, Demonstrate teamwork skills", "qualificationsPreferred" : "Degree in Engineering preferred, Experience developing drug delivery systems strongly preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** **Job Description** In June 2019, Vertex announced the establishment of new research sites in Boston and Providence where research, development, and clinical manufacturing for cell, biologic, and genetic therapies will be primarily based. Cell and genetic therapies represent two rapidly emerging therapeutic modalities with the potential to treat—and even cure—several diseases Vertex is focused on. At Vertex, our teams bring together the best talent to ensure we bring these cutting-edge transformative therapies to patients as quickly as possible. The Product Development Engineering Senior Scientist focuses on combination product development, with a particular focus on drug delivery systems. The Product Development Engineering Senior Scientist will work closely with Research and Development, Device Quality Control, Device Quality Assurance, Process Development, Clinical/Commercial Packaging & Labeling Functions, Regulatory Affairs, and Manufacturing Functions, as required. **Key Duties and Responsibilities:** * Collaborate with highly cross-functional teams to author the design history documentation of combination drug-device and/or biologic device products. * Author Risk Analyses, including DFMEA, UFMEA, PFMEA, and biocompatibility risk assessments. * Translates User Requirements into Design Requirements as appropriate. Correlates Design Inputs with Design Outputs and supports Design Verification and Validation Studies (as needed) to be executed both internally and externally. * Leads Design Reviews to completion, ensuring compliance with internal procedures and external standards. * Manage Change Control, Deviations and Non-conformances with Cross-Functional Team for Impact Assessment and Investigations, and manage timely completion of activities while ensuring updates are made to relevant documents in Design History File. * Perform Design History File maintenance as required, including – as applicable – review and revision of all Design and Quality System Documentation. * Display an eye for completeness, ensuring enough detail is captured for Process Development and Manufacturing purposes. Aligns with User Requirements, Functional Requirements, and Design Inputs as appropriate. Must be familiar and adhere to C.T.Q. flow down. **Knowledge and Skills:** * Proven experience with Medical Device and Combination Product Development including ownership and authorship of Design and Development file records and leading Risk Management initiatives. * Working knowledge of development and characterization of Test Methods for selection, verification and validation of components, sub-systems and assemblies. * Able to present to cross-functional team for input, alignment, and design and risk file updates. * Must have experience executing workstreams in highly matrixed environments. * Experience with medical device and drug delivery packaging development, container closure integrity testing and mechanical performance testing. * A thorough understanding of cGxP principles and practices, ISO 13485, ISO 14971, and 21C.F.R.820. * A strong understanding of statistical principles is required, as are strong technical writing and presentation skills. * Must be able to work independently with adequate supervision, multi-task and support several projects simultaneously. * Must demonstrate strong interpersonal and teamwork skills. **Education and Experience:** * PhD with 2+ years of experience, M.S with 5+ years, or B.S with 8+ years of experience. * Degree in Engineering preferred but will consider other related disciplines. Experience developing drug delivery systems is strongly preferred. May require occasional travel to other Vertex locations **Pay Range:** $126,600 - $189,800 **Disclosure Statement:** The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. **Flex Designation:** On-Site Designated **Flex Eligibility Status:** In this **On-Site** designated role, you will work **five days per week on-site** with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. #LI-Onsite **Company Information** Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com", "summaryDescription" : "Product Development Engineering Senior Scientist - Medical Device & Combination Products at Vertex. Skills: Combination Product Development, Drug Delivery Systems, Risk Management, Design History File. Collaborate with cross-functional teams. Author design history documentation", "postedDate" : "2026-05-23T08:08:52.576", "createdAt" : "2026-06-11T08:08:52.367", "lastUpdated" : "2026-06-11T16:15:16.088", "ingestTimestamp" : "2026-06-11T08:08:52.367", "mongoId" : "6a2527eb74d8ee00a00ee143", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://vrtx.wd501.myworkdayjobs.com/Vertex_Careers/job/Boston-MA/Product-Development-Engineering-Senior-Scientist---Medical-Device---Combination-Products_REQ-28758", "salaryAnnualMin" : 126600, "salaryAnnualMax" : 189800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Risk Management", "Test Method Development", "Test Method Characterization", "Statistical analysis", "Interpersonal skills", "Teamwork skills", "Combination Product Development", "Drug Delivery Systems", "Design History File", "Design History Documentation", "User Requirements", "Design Requirements", "Design Inputs", "Design Outputs", "Design Verification", "Design Validation", "Design Reviews", "Change Control", "Deviations", "Non-conformances", "Impact Assessment", "Investigations", "Quality System Documentation", "Process Development", "Manufacturing Purposes", "Test Methods", "Component selection", "Sub-system selection", "Assembly selection", "Test Method verification", "Test Method validation", "Statistical principles", "Medical Device", "Combination Products", "cGxP principles", "ISO 13485", "ISO 14971" ], "skillCount" : 37, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 19, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotechnology" }, { "id" : "69e104422beec4dd3def288c", "title" : "Senior Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 183800.0, "max" : 248700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T08:06:13.627", "fingerprint" : "a7a4b4df08e69f3e1b9aa2f22352024c743b4739464b7cfa7e2f475f1d743d7c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385948/apply", "externalId" : "79947a54-7c5e-4f6e-9b74-bc3b15493eae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As a Senior Applied Scientist on our team, you will * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns. * You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives. * You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses; * Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Translate complex scientific challenges into clear and impactful solutions for business stakeholders. * Mentor and guide junior scientists, fostering a collaborative and high-performing team culture. * Stay up-to-date with advancements and the latest modeling techniques in the field About the team We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC", "postedDate" : "2026-06-13T19:04:25.307", "createdAt" : "2026-06-13T19:04:25.307", "lastUpdated" : "2026-06-15T08:06:13.627", "ingestTimestamp" : "2026-06-13T19:04:25.307", "mongoId" : "69e104422beec4dd3def288c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385948/apply", "salaryAnnualMin" : 183800, "salaryAnnualMax" : 248700, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30573af292fd229cf36034", "title" : "Senior Product Sourcing Engineer", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Product Sourcing Engineer in the Defense Technology industry in Huntsville, United States, adjusted for seniority and company size." }, "location" : "Huntsville, Alabama, United States", "locations" : [ "Huntsville", "Alabama", "United States" ], "timestamp" : "2026-06-16T06:12:49.292", "fingerprint" : "65de076b8bff0df50afe3bef8cb6e7cb6c6b8ad5b2a1ce4b31165cfcd7051c5e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5164880007?gh_jid=5164880007", "externalId" : "5164880007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntsville", "state" : "Alabama", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.7298470,-86.5859011" } ], "locationText" : "Huntsville, Alabama, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Computer vision, Sensor fusion, Networking", "professionalSkills" : [ "Cost management", "Supply network development", "Product development", "Design development" ], "hardSkillsList" : [ "Should cost models", "Clean sheet models" ], "hardSkills" : [ { "name" : "Should cost models", "level" : "intermediate" }, { "name" : "Clean sheet models", "level" : "intermediate" } ], "coreResponsibilities" : "Drive strategic supply network development, Manage product hardware costs, Collaborate with suppliers, Collaborate with engineering, Collaborate with quality, Collaborate with manufacturing, Conduct supplier selection, Partner with strategic suppliers, Accelerate product development, Solidify requirements, Develop joint designs, Develop clear statements", "teamCollaboration" : "Cross-functional collaboration", "domainKnowledge" : "Defense technology; Rocket motors; AI-powered operating system", "domainList" : [ "defense-technology", "rocket-motors", "ai-powered-operating-system" ], "domainSpecificKnowledge" : [ "Defense technology", "Rocket motors", "AI-powered operating system" ], "qualificationsBasic" : "5+ years experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Anduril Rocket Motor Systems (RMS) team is on a mission to build next generation solid rocket motors for a safer, more connected world. To achieve our vision of becoming a large-volume provider of tactical rocket motors, we will develop differentiated products and services that maximize our customers’ capabilities, and we will establish and maintain a reputation of Quality and Reliability. ABOUT THE JOB The Senior Product Sourcing Engineer drives the strategic supply network development and cost management of Anduril’s product hardware across their lifecycles, by collaborating with suppliers and cross-functionally, including folks in engineering, quality, and manufacturing. WHAT YOU'LL DO Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Simulation of mechanical and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Senior Product Sourcing Engineer at Anduril Industries. Drive strategic supply network development. Manage product hardware costs", "postedDate" : "2026-06-15T23:17:41.609", "createdAt" : "2026-06-15T23:17:41.609", "lastUpdated" : "2026-06-16T06:12:49.292", "ingestTimestamp" : "2026-06-15T23:17:41.609", "mongoId" : "6a30573af292fd229cf36034", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Should cost models", "Clean sheet models", "Cost management", "Supply network development", "Product development", "Design development", "Defense technology", "Rocket motors", "AI-powered operating system" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7a1a74d8ee00a0944758", "title" : "Staff Product Designer, AI Products", "company" : "Databricks", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Product Designer in the Technology industry in New York, adjusted for lead seniority and company size." }, "location" : "New York City, New York", "locations" : [ "New York City", "New York" ], "timestamp" : "2026-06-16T04:18:33.590", "fingerprint" : "0a8bcb54ee670ee92952f301f2058af9962bfc1a1a973280b3ca2dd48385a08e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://databricks.com/company/careers/open-positions/job?gh_jid=8584704002", "externalId" : "8584704002", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Systems thinking", "Visual design", "Interaction design" ], "hardSkillsList" : [ "User research", "Data activation", "AI-assisted workflows" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "User research", "level" : "intermediate" }, { "name" : "Data activation", "level" : "intermediate" }, { "name" : "AI-assisted workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product design, AI products, Agent-driven experiences", "majorSkillsList" : [ "Product design", "AI products", "Agent-driven experiences" ], "coreResponsibilities" : "Drive product and design initiatives, Define agent-driven workflows, Collaborate with product management, Collaborate with engineering, Collaborate with leadership, Design intuitive user experiences, Develop understanding of business objectives, Develop understanding of customer needs, Develop understanding of AI capabilities, Develop understanding of data landscape, Develop understanding of technology landscape, Conduct user research, Mentor junior designers", "teamCollaboration" : "Product management; Engineering; Leadership", "domainKnowledge" : "Data workflows; Lakehouse; Business applications; Data activation; AI capabilities; Enterprise software; Data analytics; AI", "domainList" : [ "data-workflows", "lakehouse", "business-applications", "data-activation", "ai-capabilities", "enterprise-software", "data-analytics", "ai" ], "domainSpecificKnowledge" : [ "Data workflows", "Lakehouse", "Business applications", "Data activation", "AI capabilities", "Enterprise software", "Data analytics", "AI" ], "innovationCreativity" : "0-to-1 environment", "outcomesObjectives" : "Activate and operationalize data at scale; Move from data to decisions; Simplify complex workflows", "qualificationsBasic" : "8+ years product design experience, Bachelor's or Master's degree, Lead large complex design projects, Execute visual and interaction work, System thinker, Technical knowledge and visual design skills, Portfolio demonstrating end-to-end design process", "qualificationsPreferred" : "Experience designing products bridging technical and business users, Familiarity with data, analytics, AI, or enterprise software, Experience using modern development and AI-assisted coding tools", "remoteFriendly" : false, "rawDescription" : "RDQ327R178 At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you will have Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale. Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action. Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform. Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations. Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape. Conduct user research to identify customer needs, pain points, and opportunities related to data activation, and AI-assisted workflows. Mentor junior designers, fostering their growth and development within our team. What we look for 8+ years of product design work experience A bachelor's or master’s degree in design, computer science, human-computer interaction, or related field Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders Can execute beautiful visual and interaction work that’s rooted in a data-driven, and well-researched UX process A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally You have a unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive tooling for technical users. A portfolio demonstrating your end-to-end design process, from inception to production Experience designing products that bridge the gap between technical and business users is a strong plus. Familiarity with data, analytics, AI, or enterprise software is highly valued. The strongest candidates have demonstrated experience using modern development and AI-assisted coding tools to prototype ideas, understand implementation tradeoffs, and collaborate deeply with engineering teams. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $166,600—$229,150 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U. S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.", "summaryDescription" : "Staff Product Designer, AI Products at Databricks. Skills: Product design, AI products, Agent-driven experiences. Drive product and design initiatives. 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We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Calling all inventors to work on exciting new opportunities in Sponsored Products. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action. You will join a newly-founded team with a broad mandate to experiment and innovate, with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills, and be a science leader in an environment that thrives on creativity, experimentation, and product innovation. Key job responsibilities - Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions. - Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them - Research new and innovative machine learning approaches. - Recruit Scientists to the team and provide mentorship. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Sponsored Products & Brands at Amazon.com Services LLC. Skills: Machine Learning, Algorithm development, Optimization. Tackle science business problems. Solve science business problems", "postedDate" : "2026-06-13T19:37:35.740", "createdAt" : "2026-06-13T19:37:35.740", "lastUpdated" : "2026-06-15T08:06:47.694", "ingestTimestamp" : "2026-06-13T19:37:35.740", "mongoId" : "69fda4e34c40e2acd1b9974b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413682/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Model building", "Data analysis", "Mentorship", "Machine Learning", "Optimization", "Business problems", "Product innovation", "Science leadership", "Advertising auctions", "Ad marketplace" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307510f292fd229c00bbb5", "title" : "Senior Product Security Engineer", "company" : "Mach Industries", "industry" : "Mach Vehicles", "salary" : { "min" : 150000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Huntington Beach, CA", "locations" : [ "Huntington Beach, CA" ], "timestamp" : "2026-06-16T12:24:50.023", "fingerprint" : "d8dadbff19549499097c721ef89f4c29cedf6265e6cedff947363c5d1ec26ccc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mach/39231552-e8e1-4649-a5b7-0b715a67a394/application", "externalId" : "39231552-e8e1-4649-a5b7-0b715a67a394", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntington Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6783336,-118.0000160" } ], "locationText" : "Huntington Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "ABOUT MACH INDUSTRIES Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 220 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. THE ROLE We are seeking a Senior Product Security Engineer to lead security efforts across our growing Unmanned Aircraft Systems (UAS) portfolio. This role focuses on securing both hardware and increasingly software-driven systems, including autonomy platforms, command-and-control (C2) applications, APIs, cloud infrastructure, and embedded devices. As our products scale and become more connected, the attack surface expands across edge, air, and cloud environments. This role ensures security is built into the full system lifecycle—from hardware and firmware to applications and distributed services. KEY RESPONSIBILITIES - Lead end-to-end product security across UAS platforms, including embedded systems, flight software, APIs, backend services, and cloud infrastructure. - Design and implement secure architectures covering device identity, authentication, authorization, and data protection. - Perform security assessments across software, firmware, and hardware, including application testing, code review, and adversarial analysis. - Build and integrate security into CI/CD pipelines, including automated testing, scanning, and policy enforcement. - Partner with software, hardware, and firmware teams to embed security into the development lifecycle. - Secure communications, telemetry, and OTA update mechanisms across distributed systems. - Develop security tooling to scale protection across multiple hardware platforms. - Lead and mentor engineers and drive cross-functional security initiatives. REQUIRED QUALIFICATIONS - 5+ years of experience in Product Security, Application Security, or Security Engineering. - Programming skills in Python, C/C++, Rust, Go, or similar languages. - Experience securing software systems including APIs, microservices, and distributed platforms. - Experience with embedded systems, firmware, and Linux-based environments. - Familiarity with CI/CD pipelines and DevSecOps practices. - Ability to assess vulnerabilities across application, network, and hardware-software boundaries. - Experience delivering production-grade systems. - Familiarity with NIST or similar security frameworks. - Ability to own large initiatives independently. - Eligible to obtain a U.S. Secret clearance. PREFERRED QUALIFICATIONS - Expertise in IOT/OT penetration testing. - Experience in UAS, aerospace, robotics, or defense environments. - Knowledge of distributed systems, cloud security, and edge-to-cloud architectures. - Experience with AI/ML system security. - Familiarity with RF communications and associated security considerations. - Experience with FPGA or GPU-based systems. - Experience with infrastructure-as-code tools such as Terraform. - Proven track record leading engineering teams. Disclosures This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license. Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development. Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!", "summaryDescription" : "Senior Product Security Engineer at Mach Industries", "createdAt" : "2026-06-16T00:29:44.818", "lastUpdated" : "2026-06-16T12:24:50.023", "ingestTimestamp" : "2026-06-16T00:29:44.818", "mongoId" : "6a307510f292fd229c00bbb5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca53574d8ee00a09b52e3", "title" : "Engineering Manager, Digital Economy Products", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Engineering Manager in Singapore, adjusted for government industry and manager seniority." }, "location" : "DEP Digital Economy Products", "locations" : [ "DEP Digital Economy Products" ], "timestamp" : "2026-06-15T12:12:43.121", "fingerprint" : "fc224cc2e152f347cf0d63873626be7c0fc7775d9d09ba2500ac9d92a1aebb12", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4001070201?gh_jid=4001070201", "externalId" : "4001070201", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Next.js, React.js, Nuxt.js, Vue.js, Java, TypeScript, Node.js, Golang, SQL, NoSQL, AWS, Azure, GCP, GitLab CI, GitHub Actions, Docker, Kubernetes, ELK stack, AWS CloudWatch, Splunk, Terraform, Terragrunt, Ansible", "professionalSkills" : [ "Engineering excellence", "System design" ], "hardSkillsList" : [ "Data modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Digital Economy Products, Cloud platforms, CI/CD, Container orchestration", "majorSkillsList" : [ "Digital Economy Products", "Cloud platforms", "CI/CD", "Container orchestration" ], "coreResponsibilities" : "Drive Smart Nation initiatives, Drive public sector digital transformation, Manage time to deliver best work", "teamCollaboration" : "Work through others", "domainKnowledge" : "Digital Economy Products; Infocomm Technology; Smart Systems", "domainList" : [ "digital-economy-products", "infocomm-technology", "smart-systems" ], "domainSpecificKnowledge" : [ "Digital Economy Products", "Infocomm Technology", "Smart Systems" ], "toolProficiency" : [ "GitLab CI", "GitHub Actions", "Docker", "Kubernetes", "ELK stack", "AWS CloudWatch", "Splunk", "Terraform", "Terragrunt", "Ansible" ], "communicationSkills" : "Explain technical concepts", "qualificationsBasic" : "5+ years experience, Experience with modern front-end engineering, Experience with Java/TypeScript/Node.js/Golang backend, Knowledge of databases (SQL & NoSQL), Knowledge of data modeling, Experience with CI/CD pipelines, Experience with Docker, Kubernetes, Experience with observability and monitoring tools, Experience with ELK stack, Experience with AWS CloudWatch, Experience with Splunk", "qualificationsPreferred" : "AWS preferred, Azure experience, GCP experience, Led legacy system modernization projects, Transitioned legacy systems to modern platforms, Experience with Infra as Code, Willing to pick up Infra as Code", "rawDescription" : "[About GovTech] GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT experience in modern front-end engineering on Next.Js/React.js/Nuxt/Vue.js and Java/TypeScript/Node.js/Golang on the backend is preferred Strong knowledge of databases (SQL & NoSQL) and data modeling Experience with cloud platforms such as AWS (preferred), Azure and/or GCP Experience with CI/CD pipelines (e.g., GitLab CI, GitHub Actions, etc.) Experience with Docker, Kubernetes or other container orchestration tools Experience with observability and monitoring tools, especially the ELK stack, AWS CloudWatch, Splunk Excellent communication skills with ability to explain technical concepts to non-technical stakeholders Bonus: Led legacy system modernization projects, including transitioning legacy systems to modern platforms Bonus: Experience with / willing to pick up Infra as Code (eg. Terraform, Terragrunt, Ansible) What We Value Passion towards working for the public good Excellent team player & leader who is passionate about engineering excellence Demonstrated ability to take initiative and work autonomously & through others Initiative: Proactively identify issues and opportunities to improve systems & teams Collaboration: Share knowledge and contribute to a healthy, transparent team culture Continuous learning: Stay current with technologies and best practices Strong product mindset: Have a customer-centric thinking, be data-driven in decision making GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers", "summaryDescription" : "Engineering Manager, Digital Economy Products at GovTech. Skills: Digital Economy Products, Cloud platforms, CI/CD, Container orchestration. Drive Smart Nation initiatives. Drive public sector digital transformation", "postedDate" : "2026-06-14T06:19:42.875", "createdAt" : "2026-06-14T06:19:42.875", "lastUpdated" : "2026-06-15T12:12:43.121", "ingestTimestamp" : "2026-06-14T06:19:42.875", "mongoId" : "6a2ca53574d8ee00a09b52e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Leadership", "Digital Economy Products", "Cloud platforms", "CI/CD", "Container orchestration", "Engineering excellence", "System design", "Infocomm Technology", "Smart Systems", "GitLab CI", "GitHub Actions", "Docker", "Kubernetes", "ELK stack", "AWS CloudWatch", "Splunk", "Terraform", "Terragrunt", "Ansible" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306175f292fd229cf96979", "title" : "Production and Product Industrialization Engineer", "company" : "Continental", "industry" : "Automotive", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Production and Product Industrialization Engineer in Mount Pleasant, United States, adjusted for industry and company size." }, "location" : "Mount Pleasant, IA, United States", "locations" : [ "Mount Pleasant", "IA", "United States" ], "timestamp" : "2026-06-16T10:42:13.301", "fingerprint" : "440445452446793fdeb7f9a4a76b89acb47e8172a72094d890d4bd5a4738f468", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Continental/744000132238217-production-and-product-industrialization-engineer", "externalId" : "744000132238217", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mount Pleasant", "state" : "Iowa", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9663120,-91.5539956" } ], "locationText" : "Mount Pleasant, Iowa, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "Continental is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €39.7 billion in 2024 and currently employs around 95,000 people in 54 countries and markets. ContiTech is one of the world’s leading industry specialists. The Continental group sector offers its customers connected, environment-friendly, safe and convenient industry and service solutions using a range of materials for off-highway applications, on rails and roads, in the air, under and above the ground, in industrial environments, for the food sector and the furniture industry. With about 39,000 employees in more than 40 countries and sales of some 6.4 billion euros (2024), the global industrial partner is active with core branches in Asia, Europe and North and South America. Manages new product introduction and production support engineering for a specific product or group of products after transfer from design to in-house or outsourced production. Interfaces with design, process, test, reliability and manufacturing engineering to solve product issues and production problems. Develops and sustains process improvements to reduce production costs and increase yields. Coordinate and control all production activities in order to meet budget and production targets (e.g. maximize quality and capacity utilization, reduce cost and lead time). Furthermore, the Head of Production initiates and implements action plans for the continuous improvement of all production-relevant processes. HOW WILL YOU MAKE AN IMPACT? * Provide production technical support, quality testing reviews, and troubleshooting of production technical problems. * Coordinate processing, technical, and quality activities of the department. * Responsible for developing rubber technology knowledge, pursuing cost reductions for current products and processes, maintaining quality standards, and providing technical and decision-making support to the operators on the factory floor. * Providing technical customer service; communication with the customer in connection with all technical questions concerning rubber compounds. * Introduce, develop, and look after the recipes to ensure meeting the customer requirements. Accompany mixing trials and processing trials at the customer. * Responsible for the disposition of non-conforming material according to standards. * Maintains reliable processing, compound, and raw material specifications. * Sets up experimental laboratory and factory evaluation trials in product and process areas. * Maintains technical and quality status reporting requirements. * Serves as a source of chemical awareness and compliance. * Contribute to strategic and operative planning of the Compounding operations unit (e.g., with respect to investments, health and safety, quality and capacity) * Meets daily with mix employees to assess stock and production performance. * Resolves technical problems that arise with stocks, materials, and equipment * Assist in product release strategy and product return process. * Focused efforts on driving/implementing new technology to eliminate factory stock processing problems and implement Poke Yoke methods. * Improves physical properties of existing compounds using new techniques. * Provides technical support for equipment design and new or improved processing equipment. * Assembles and analyzes data regarding compound performances. * Uses analytical troubleshooting techniques in problem-solving activities. * Maintain and improve Quality systems to meet ISO:9001-2015 and internal standards * Participate in Internal/External Quality audits. * Ensure Processing/Quality performance (KPI) monitoring and reporting (e.g., regarding waste, customer complaints, etc.) in cooperation with plant controlling and production. * Participate in or steer local mixing related and cross-functional projects. ## Qualifications WHAT YOU BRING TO THE ROLE: * Bachelor’s degree in engineering: Chemical Engineering, Manufacturing Engineering, Mechanical Engineering or related technical discipline * 2+ years in a manufacturing environment supporting product introductions, equipment installation, and production/process support. * Strong problem-solving skills * Troubleshooting manufacturing processes * Good writing and verbal communication skills * Good MS Office skills and other engineering software Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas now or in the future for this job posting. Visa Sponsorship for Continental/ContiTech employees only ADDITIONAL WAYS TO STAND OUT: * Cross-functional experience e.g. in engineering, quality, supply chain or CBS preferred * Comprehensive experience in Rubber and or Plastic production processes * Troubleshooting rubber compound issues. * Experience in working with international teams on production topics and understanding foreign cultures ## Additional Information All your information will be kept confidential according to EEO guidelines. EEO-Statement: EEO / AA / Disabled / Protected Veteran Employer. Continental offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, as a federal contractor, Continental complies with government regulations, including affirmative action responsibilities, where they apply. To be considered, you must apply for a specific position for which Continental has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, Continental provides reasonable accommodations to qualified individuals with a disability. If you need assistance in the application process, please reply to Careers@conti-na.com or contact US Recruiting at 248.393.5566. This telephone line and email address are reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process. Please do not call about the status of your job application, if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a call back. Ready to drive with Continental? Take the first step and fill in the online application. EEO-Statement: EEO / Disabled / Protected Veteran Employer. Continental offers equal employment opportunities to all qualified individuals, without regard to unlawful consideration to race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, veteran status, or any other status protected by applicable law. In addition, as a federal contractor, Continental complies with government regulations, including affirmative action responsibilities for qualified individuals with a disability and protected veterans, where they apply. To be considered, you must apply for a specific position for which Continental has a current posted job opening. Qualifying applications will be considered only for the specific opening(s) to which you apply. If you would like to be considered for additional or future job openings, we encourage you to reapply for other opportunities as they become available. Further, Continental provides reasonable accommodations to qualified individuals with a disability. If you need assistance in the application process, please reply to [Careers@conti-na.com](mailto:Careers@conti-na.com) or contact US Recruiting at 800-821-2727. This telephone line and email address are reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process. Please do not call about the status of your job application, if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a call back. Ready to drive with Continental? Take the first step and fill in the online application.", "summaryDescription" : "Production and Product Industrialization Engineer at Continental", "postedDate" : "2026-06-15T15:47:48.000", "createdAt" : "2026-06-16T00:10:29.904", "lastUpdated" : "2026-06-16T10:42:13.301", "ingestTimestamp" : "2026-06-16T00:10:29.904", "mongoId" : "6a306175f292fd229cf96979", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe47284c40e2acd1f5972b", "title" : "Software Development Engineer, Device Software", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Mid-level Software Development Engineer, Device Software in Bengaluru, India, with adjustments for the technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:35:20.054", "fingerprint" : "bd21ae742e132626445b63140eb35c56b7b36b3788ab71d09cdd792a1eefa879", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10415253/apply", "externalId" : "f272fffe-0215-47c1-bd32-d4bb8f3bc09d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Data structures, Algorithms, Object oriented programming", "professionalSkills" : [ "System design", "Technical trade-offs" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Device software, Distributed systems, Wireless platform services", "majorSkillsList" : [ "Device software", "Distributed systems", "Wireless platform services" ], "coreResponsibilities" : "Bring fresh ideas, Take long-term view, Fix deficiencies, Propose larger projects, Understand business impact, Make technical trade-offs, Influence team strategy, Provide context, Guide technology choices, Write exemplary code, Write easy code, Drive engineering best practices, Set standards, Find best way forward, Influence others, Build consensus, Contribute professional development, Improve technical knowledge, Improve engineering practices, Ensure team is stronger, Build new services, Improve customer experience, Operate over-the-air updates, Operate telemetry, Operate troubleshooting", "teamCollaboration" : "Lead team(s); Influence team strategy", "domainKnowledge" : "Distributed systems; Device software; Wireless platform services; Large-scale computing; Cloud software services", "domainList" : [ "distributed-systems", "device-software", "wireless-platform-services", "large-scale-computing", "cloud-software-services" ], "domainSpecificKnowledge" : [ "Distributed systems", "Device software", "Wireless platform services", "Large-scale computing", "Cloud software services" ], "innovationCreativity" : "Bring fresh ideas", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming one language", "qualificationsPreferred" : "Bachelor's degree computer science, Experience securing cloud services, Development experience communications products, Mentor other software developers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create? A Software Developer Engineer (SDE) at Amazon work on real world problems on a global scale, own their systems end to end and influence the direction of our technology that impacts hundreds of millions customers around the world. At Amazon an SDE can expect to lead team(s) of highly performing individuals in the design of flexible and scalable solutions, and day-to-day operations. They will work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. We will be working on building and operating new services that will help improve the experience of our customers when doing over-the-air updates, telemetry, and troubleshooting their devices. If you feel strongly about being part of a team, which is responsible for world class software, running a high volume, large scale fleet, has experience in building distributed systems, device software, and/or wireless platform services with strict performance requirements, we’d like to talk to you. Key job responsibilities • Think big, bringing fresh ideas and interactions that make device services development easy and intuitive • You take a long-term view of architecture, proactively fixing deficiencies and/or proposing larger projects. • You understand the business impact of your systems and show good judgment when making technical trade-offs. • You are a key influencer in team strategy. • You bring perspective and provide context to guide future technology choices. • Your code submissions and approach to work are exemplary. You write software that is easy for others to contribute to. • You drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards. • When confronted with discordant views, you are able to find the best way forward and influence others to follow that path (build consensus). • You contribute to the professional development of colleagues, improving their technical knowledge and engineering practices. • You ensure your team is stronger because of your presence, but does not require your presence to be successful Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - Bachelor's degree in computer science or equivalent - Experience securing cloud software services and understanding design for scalability, performance and reliability - Development experience with communications products (e.g. IP messaging, voice , and video) - Demonstrated ability to mentor other software developers to maintain architectural vision and software quality Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Device Software at ADCI. Skills: Device software, Distributed systems, Wireless platform services. Bring fresh ideas. Take long-term view", "postedDate" : "2026-06-13T19:41:24.751", "createdAt" : "2026-06-13T19:41:24.751", "lastUpdated" : "2026-06-15T06:35:20.054", "ingestTimestamp" : "2026-06-13T19:41:24.751", "mongoId" : "69fe47284c40e2acd1f5972b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10415253/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "System design", "Architecture", "Leadership", "Device software", "Distributed systems", "Wireless platform services", "Technical trade-offs", "Large-scale computing", "Cloud software services" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d58e574d8ee00a0b87933", "title" : "Scientist - Strain Engineering", "company" : "Cambrium", "industry" : "Biotech", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Scientist - Strain Engineering in Berlin, Germany, adjusted for the Biotech industry and contract employment type." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-15T09:58:39.946", "fingerprint" : "a0b6573ce767a053620a2c031b15a2afa8b3567d6f25cb9582e2996e0459def8", "source" : "personio", "language" : "en", "applyUrl" : "https://cambrium.jobs.personio.de/job/2653146", "externalId" : "2653146", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "technicalSkills" : "Molecular biology, Yeast biology, Pichia, High-throughput screening, Lab automation, LIMS, Fermentations, Bioreactors, Computational biology, Machine learning, HPLC, MS", "professionalSkills" : [ "Strain engineering", "Project management", "Data analysis", "Decision-making", "Resource allocation" ], "hardSkillsList" : [ "Strain engineering", "Molecular biology", "Yeast biology", "High-throughput screening", "Lab automation", "Fermentations", "Bioreactors", "Computational biology", "Machine learning", "HPLC", "MS" ], "softSkillsList" : [ "Support", "Guide" ], "hardSkills" : [ { "name" : "Strain engineering", "level" : "intermediate" }, { "name" : "Molecular biology", "level" : "intermediate" }, { "name" : "Yeast biology", "level" : "intermediate" }, { "name" : "High-throughput screening", "level" : "intermediate" }, { "name" : "Lab automation", "level" : "intermediate" }, { "name" : "Fermentations", "level" : "intermediate" }, { "name" : "Bioreactors", "level" : "intermediate" }, { "name" : "Computational biology", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "HPLC", "level" : "intermediate" }, { "name" : "MS", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Support" }, { "name" : "Guide" } ], "majorSkills" : "Strain Engineering, Microbial Production, High-throughput Screening", "majorSkillsList" : [ "Strain Engineering", "Microbial Production", "High-throughput Screening" ], "coreResponsibilities" : "Manage strain engineering projects, Experimental design, Wet-lab execution, In silico data analysis, Run high-throughput screenings, Improve strain performance, Support up-scaling, Support bioprocess team, Run controlled fermentations, Support junior team members, Guide junior team members, Collaborate with computational engineers, Enhance platform tools, Manage large datasets, Ensure data integrity, Conduct data analysis, Drive informed decision-making, Present work, Communicate work, Align business goals, Align timelines", "teamCollaboration" : "Junior team members; Computational engineers; Bioprocess team; Internal stakeholders; External stakeholders", "projectManagementSkills" : [ "Project management", "Experimental design", "Resource allocation" ], "domainKnowledge" : "Molecular intelligence; Living systems; Enzymes; Polymers; Peptides; Recombinant molecules; Structural proteins; Bioprocess; Yeast biology; Pichia; Computational biology; Machine learning", "domainList" : [ "molecular-intelligence", "living-systems", "enzymes", "polymers", "peptides", "recombinant-molecules", "structural-proteins", "bioprocess", "yeast-biology", "pichia", "computational-biology", "machine-learning" ], "domainSpecificKnowledge" : [ "Molecular intelligence", "Living systems", "Enzymes", "Polymers", "Peptides", "Recombinant molecules", "Structural proteins", "Bioprocess", "Yeast biology", "Pichia", "Computational biology", "Machine learning" ], "toolProficiency" : [ "LIMS" ], "communicationSkills" : "Present work; Communicate work", "documentationSkills" : "Data integrity; Data analysis", "continuousLearning" : "Learning & Development Programme", "problemSolvingSkills" : "Data analysis; Decision-making", "specialRequirements" : "7-months fixed-term contract", "outcomesObjectives" : "Improve strain performance; Support up-scaling; Drive informed decision-making", "qualificationsBasic" : "PhD or MSc with 3+ years industry experience, Developing microbes for recombinant production, Molecular biology techniques, Yeast biology, High-throughput techniques, Lab automation, Proficient in LIMS", "qualificationsPreferred" : "Experience with controlled fermentations, Bioreactors, Computational biology methodologies, Machine learning methodologies, Analytical methods such as HPLC, MS", "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Cambrium is a molecular intelligence company engineering advanced materials that outperform. From personal care to textiles, mobility to home care, we design and manufacture materials that deliver real results today and for generations to come. Our platform brings together molecular intelligence and living systems to design and produce enzymes, polymers, and peptides at scale, unlocking performance characteristics that traditional chemistry could never access - specifically within polymers. We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration. Your role We are looking for a Scientist - Strain Engineering, who will be responsible for building and screening microbial production strains and preparing them to be scaled. This position is a parental leave cover with a 7-months fixed-term contract starting October 2026. Your responsibilities: Manage strain engineering projects from experimental design and wet-lab execution to in silico data analysis. Run high-throughput screenings of strain libraries for the production of recombinant molecules, such as peptides, enzymes and structural proteins. Improve strain performance and support the up-scaling of commercial production strains. Support the bioprocess team by running controlled fermentations at lab-scale. Support and guide junior team members. Collaborate with computational engineers to enhance platform tools and manage large datasets from high-throughput screenings. Ensure data integrity across screening campaigns and conduct data analysis to drive informed decision-making. Present and communicate your work on a regular basis to internal and external stakeholders. Align business goals and timelines with strain engineering resource allocation. Your profile Must haves PhD, or MSc with 3+ years of industry experience, focused on developing microbes for recombinant production of proteins and enzymes. Strong experience with molecular biology techniques. Strong experience with yeast biology (experience with Pichia is a plus). Experience with high-throughput techniques and lab automation. Proficient in the use of LIMS (Laboratory Information Management System). Nice to haves Experience with controlled fermentations in bioreactors. Understanding of both computational biology and machine learning methodologies. Experience with analytical methods such as HPLC or MS. What we offer In addition to a competitive salary, you can expect the following: Flexible working hours Learning & Development Programme for all our team members Urban Sports Club Membership Subsidized lunch and impassioned lunch discussions Regular team events The opportunity to be part of our journey to a future of advanced materials that outperform", "summaryDescription" : "Scientist - Strain Engineering at Cambrium. Skills: Strain Engineering, Microbial Production, High-throughput Screening. Manage strain engineering projects. Experimental design", "createdAt" : "2026-06-14T08:25:46.368", "lastUpdated" : "2026-06-15T09:58:39.946", "ingestTimestamp" : "2026-06-14T08:25:46.368", "mongoId" : "6a2d58e574d8ee00a0b87933", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Strain engineering", "Molecular biology", "Yeast biology", "High-throughput screening", "Lab automation", "Fermentations", "Bioreactors", "Computational biology", "Machine learning", "HPLC", "MS", "Support", "Guide", "Strain Engineering", "Microbial Production", "High-throughput Screening", "Project management", "Data analysis", "Decision-making", "Resource allocation", "Experimental design", "Molecular intelligence", "Living systems", "Enzymes", "Polymers", "Peptides", "Recombinant molecules", "Structural proteins", "Bioprocess", "Pichia", "LIMS" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "product development engineering senior scientist medical device combination products jobs", "metadata" : { "title" : "product development engineering senior scientist medical device combination products" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 160844, "totalPages" : 3217, "hasNext" : true, "hasPrevious" : false } }

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