{ "count" : 111237, "data" : [ { "id" : "6a2527eb74d8ee00a00ee0c2", "title" : "Product Lifecycle Engineering Principal Scientist - Medical Device & Combination Products", "company" : "Vertex", "industry" : "Medical Device", "salary" : { "min" : 145600.0, "max" : 218400.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Boston, MA", "locations" : [ "Boston, MA", "United States of America" ], "timestamp" : "2026-06-09T16:05:46.372", "fingerprint" : "103c8b90d999c907e553fb5f5b9406186778df501491a9bd364afc20bf2ee26d", "source" : "workday", "language" : "en", "applyUrl" : "https://vrtx.wd501.myworkdayjobs.com/Vertex_Careers/job/Boston-MA/Product-Lifecycle-Engineering-Principal-Scientist---Medical-Device---Combination-Products_REQ-28811-1", "externalId" : "REQ-28811", "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" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal Scientist", "technicalSkills" : "Drug delivery systems", "professionalSkills" : [ "Sustaining engineering", "Product lifecycle management", "Post-market design assurance", "Process engineering", "Manufacturing methods", "Analytical methods", "Labeling", "Packaging", "Systems engineering", "Change assessments", "Design updates" ], "hardSkillsList" : [ "Risk management", "Design controls", "Technical writing", "Problem-solving" ], "hardSkills" : [ { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Design controls", "level" : "intermediate" }, { "name" : "Technical writing", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Product lifecycle engineering, Combination products, Drug delivery systems, Risk management", "majorSkillsList" : [ "Product lifecycle engineering", "Combination products", "Drug delivery systems", "Risk management" ], "coreResponsibilities" : "Lead sustaining engineering activities for commercialized medical devices, Maintain and update design history documentation, Maintain engineering records, Maintain lifecycle deliverables, Ensure risk management documentation is current, Align risk documentation with post-market product changes, Align risk documentation with investigations, Align risk documentation with commercialization needs, Support engineering assessments related to design changes, Support engineering assessments related to component updates, Support engineering assessments related to supplier changes, Support engineering assessments related to product improvements, Assess product impact with Quality Assurance, Assess product impact with Regulatory Affairs, Assess product impact with Process Development, Assess product impact with Analytical, Assess product impact with Labeling, Assess product impact with Manufacturing, Implement lifecycle changes effectively, Evaluate technical issues arising during commercialization, Evaluate technical issues arising during post-market support, Drive timely resolution of technical issues, Provide engineering input to change control, Provide engineering input to deviation investigations, Provide engineering input to CAPA, Provide engineering input to nonconformance activities, Support continued compliance with design control, Support continued compliance with risk management, Support continued compliance with medical device requirements, Support continued compliance with combination product requirements, Contribute to product robustness, Contribute to product reliability, Contribute to product manufacturability, Make data-driven engineering decisions, Participate in cross-functional reviews, Ensure product lifecycle activities are documented, Ensure product lifecycle activities are executed, Identify opportunities for continuous improvement in sustaining engineering, Identify opportunities for continuous improvement in documentation practices, Identify opportunities for continuous improvement in cross-functional workflows, Serve as technical resource for lifecycle management activities, Support Regulatory activities, Author regulatory submission documentation", "teamCollaboration" : "Cross-functional teams; Quality Assurance; Regulatory Affairs; Process Development; Analytical; Manufacturing; Labeling", "domainKnowledge" : "Medical device; Combination products; Drug delivery systems; FDA; EU MDR; ISO 13485; ISO 14971; 21CFR. 820; 21CFR Part 4; GxP principles", "domainList" : [ "medical-device", "combination-products", "drug-delivery-systems", "fda", "eu-mdr", "iso-13485", "iso-14971", "21cfr-820", "21cfr-part-4", "gxp-principles" ], "domainSpecificKnowledge" : [ "Medical device", "Combination products", "Drug delivery systems", "FDA", "EU MDR", "ISO 13485", "ISO 14971", "21CFR. 820", "21CFR Part 4", "GxP principles" ], "communicationSkills" : "Technical writing; Communication skills", "documentationSkills" : "Design history documentation; Engineering records; Lifecycle deliverables; Risk management documentation; Regulatory submission documentation", "problemSolvingSkills" : "Problem-solving; Technical issue resolution; Root cause analysis", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "Bachelor's degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Materials Engineering, or related scientific/engineering discipline, Minimum of 10 years of experience working within a regulated medical device, drug delivery, and combination product environment, knowledge of design controls and risk management for regulated products, Demonstrated experience in sustaining engineering, product lifecycle management, or post-market design assurance in collaboration with cross-functional product support from Quality, Regulatory, and Manufacturing teams, Working knowledge of process engineering and manufacturing methods, analytical methods, labeling and packaging, and systems engineering, technical writing, problem-solving, and communication skills, Ability to manage multiple priorities and work effectively across teams, Experience supporting change assessments and design updates in a structured quality system", "qualificationsPreferred" : "Experience with product development of combination products, specifically drug delivery systems, Experience with design controls and risk management as it pertains to FDA, EU MDR, and associated harmonized standards (ISO 13485, ISO 14971, 21CFR. 820 and 21CFR Part 4) and a thorough understanding of GxP principles and practices, Experience leading technical teams and projects in highly matrixed environments", "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. As the Product Lifecycle Engineering Principal Scientist, you will focus on the sustaining activity with drug delivery devices and combination products. You will ensure design and development processes and risk documentation associated with drug delivery systems are maintained throughout commercialization post-market lifecycle. The successful candidate will work closely with Process Development, Quality Assurance, Regulatory Affairs, Analytical, and Manufacturing functions, as required. The position will be on-site in Boston, MA. _**Key Responsibilities**_ * Collaborate with highly cross-functional teams to Lead sustaining engineering activities for commercialized medical devices and drug delivery combination products. * Maintain and update design history documentation, engineering records, and lifecycle deliverables in accordance with internal procedures and regulatory expectations. * Ensure risk management documentation is current and aligned with post-market product changes, investigations, and ongoing commercialization needs. * Support engineering assessments related to design changes, component updates, supplier changes, and product improvements. * Partner with Quality Assurance, Regulatory Affairs, Process Development, Analytical, Labeling, and Manufacturing to assess product impact and implement lifecycle changes effectively. * Evaluate technical issues arising during commercialization and post-market support, and drive timely resolution. * Provide engineering input to change control, deviation investigations, CAPA, and nonconformance activities, as applicable. * Support continued compliance with applicable design control, risk management, and medical device / combination product requirements. * Contribute to product robustness, reliability, and manufacturability through data-driven engineering decisions. * Participate in cross-functional reviews to ensure product lifecycle activities are appropriately documented and executed. * Identify opportunities for continuous improvement in sustaining engineering processes, documentation practices, and cross-functional workflows. * Serve as a technical resource for lifecycle management activities associated with commercial drug delivery systems. * Support Regulatory activities including authoring regulatory submission documentation. _**Experience**_ * Must have experience with product development of combination products, specifically drug delivery systems. * Must have experience with design controls and risk management as it pertains to FDA, EU MDR, and associated harmonized standards (ISO 13485, ISO 14971, 21CFR.820 and 21CFR Part 4) and a thorough understanding of GxP principles and practices. * Must have experience leading technical teams and projects in highly matrixed environments. _**Required Qualifications**_ * Bachelor’s degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Materials Engineering, or related scientific/engineering discipline. * Minimum of 10 years of experience working within a regulated medical device, drug delivery, and combination product environment. * Strong knowledge of design controls and risk management for regulated products. * Demonstrated experience in sustaining engineering, product lifecycle management, or post-market design assurance in collaboration with cross-functional product support from Quality, Regulatory, and Manufacturing teams. * Working knowledge of process engineering and manufacturing methods, analytical methods, labeling and packaging, and systems engineering. * Strong technical writing, problem-solving, and communication skills. * Ability to manage multiple priorities and work effectively across teams. * Experience supporting change assessments and design updates in a structured quality system. May require occasional travel to other Vertex locations **Pay Range:** $145,600 - $218,400 **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 Lifecycle Engineering Principal Scientist - Medical Device & Combination Products at Vertex. Skills: Product lifecycle engineering, Combination products, Drug delivery systems, Risk management. Lead sustaining engineering activities for commercialized medical devices. 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], "hardSkills" : [ { "name" : "Design control processes", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Usability engineering", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Quality systems", "level" : "intermediate" }, { "name" : "Product approval", "level" : "intermediate" }, { "name" : "Market adoption", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Scalable production", "level" : "intermediate" }, { "name" : "Cost-effective production", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Regulated device engineering, Product development, Regulatory compliance", "majorSkillsList" : [ "Regulated device engineering", "Product development", "Regulatory compliance" ], "coreResponsibilities" : "Define strategic roadmap, Execute strategic roadmap, Own budgeting, Own resource allocation, Partner to identify new product opportunities, Build high-performing organization, Scale high-performing organization, Lead R&D developing medical devices, Ensure design control processes are robust, Ensure design control processes are compliant, Ensure design control processes are efficiently executed, Drive innovation, Maintain disciplined product development processes, Ensure products meet FDA requirements, Ensure products meet international regulatory requirements, Ensure products meet quality system requirements, Partner with Quality leaders, Partner with Regulatory leaders, Support successful submissions, Champion culture of quality, Champion culture of compliance, Ensure inspection readiness, Ensure successful audits, Provide indirect leadership, Provide alignment across Clinical, Provide alignment across Manufacturing, Provide alignment across Supply Chain, Ensure clinical strategies support objectives, Collaborate with Manufacturing, Collaborate with Operations, Ensure scalable production processes, Ensure cost-effective production processes, Ensure compliant production processes, Establish KPIs, 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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"Platform modernization", "Technical debt", "Modularization", "Staged redesigns", "Design controls", "Risk management", "Traceability", "Audit-ready", "Low-noise front-ends", "Stimulation current sources", "Safety monitoring", "Software architecture", "Code review", "Product reliability", "Complaint trending", "Corrective actions", "Reliability programs", "CAPA support", "Product strategy", "Business strategy", "Technical reality", "Scope prioritization" ], "hardSkillsList" : [ "Signal quality", "Stimulation delivery", "Connectivity", "Data integrity", "Firmware reliability", "Biopotential front-ends", "Electrode interfaces", "Artifact mitigation", "Noise mitigation", "Current source design", "Compliance voltage", "Isolation", "Stimulation protocols", "Fleet management", "Remote updates", "Incident response", "Technical files", "Audit interactions" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Signal quality", "level" : "intermediate" }, { "name" : 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"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. Own system-level architecture", "createdAt" : "2026-06-13T23:20:04.391", "lastUpdated" : "2026-06-15T05:09:30.227", "ingestTimestamp" : "2026-06-13T23:20:04.391", "mongoId" : "6a2d58da74d8ee00a0b875d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Signal quality", "Stimulation delivery", "Connectivity", "Data integrity", "Firmware reliability", "Biopotential front-ends", "Electrode interfaces", "Artifact mitigation", "Noise mitigation", "Current source design", "Compliance voltage", "Isolation", "Stimulation protocols", "Fleet management", "Remote updates", "Incident response", "Technical files", "Audit interactions", "Leadership", "Mentoring", "Engineering management", "System architecture", "Medical device development", "System-level architecture", "Technical decisions", "Engineering quality", "Engineering execution", "Technical risk", "Capacity planning", "Schedule commitment", "Hiring managers", "Retaining talent", "Developing leaders", "Engineering operating system", "Configuration management", "Release discipline", "Platform modernization", "Technical debt", "Modularization", "Staged redesigns", "Design controls", "Risk management", "Traceability", "Audit-ready", "Low-noise front-ends", "Stimulation current sources", "Safety monitoring", "Software architecture", "Code review", "Product reliability", "Complaint trending", "Corrective actions", "Reliability programs", "CAPA support", "Product strategy", "Business strategy", "Technical reality", "Scope prioritization", "Roadmap planning", "Medical device software lifecycle", "Usability engineering", "Home healthcare environment", "Connected health devices", "EEG acquisition systems", "tDCS/tACS/tRNS stimulators", "Cloud-connected medical devices", "EU MDR", "FDA submissions", "Git", "JIRA" ], "skillCount" : 70, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "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; External partners; Cross-functionally", "projectManagementSkills" : [ "Project management", "Program management" ], "domainKnowledge" : "Drug-delivery device technology; Auto-injector innovation; Combination product development; Human factor studies; 21 CFR 820.30; ISO 13485; ISO 14971:2019", "domainList" : [ "drug-delivery-device-technology", "auto-injector-innovation", "combination-product-development", "human-factor-studies", "21-cfr-820-30", "iso-13485", "iso-14971-2019" ], "domainSpecificKnowledge" : [ "Drug-delivery device technology", "Auto-injector innovation", "Combination product development", "Human factor studies", "21 CFR 820.30", "ISO 13485", "ISO 14971:2019" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Development documentation", "innovationCreativity" : "Intellectual property portfolio development", "problemSolvingSkills" : "Problem-solving techniques; Creative problem solving", "specialRequirements" : "Less than 25% travel", "qualificationsBasic" : "Bachelors, Masters, or PhD, Patient centric drug/device combination product development, Minimum 10+ years medical device development, Experience managing external CMO’s, Experience in design controls, Experience in risk management, Experience in ISO 13485, Minimum 5+ years managing human factor engineering studies", "qualificationsPreferred" : "Biomedical Engineering, Mechanical Engineering, Material engineering, Systems Engineering preferred, Demonstrated record of accomplishments preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "This is a remote opportunity with occasional travel, estimated at less than 25%. 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 management", "Project management", "Program management", "Drug-delivery device technology", "Auto-injector innovation", "Combination product development", "Human factor studies", "21 CFR 820.30", "ISO 13485", "ISO 14971:2019" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306091f292fd229cf909c7", "title" : "Principal AI Product Engineer", "company" : "Hi Marley", "industry" : "SaaS", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Principal AI Product Engineer in Boston, MA, adjusted for company size and industry." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T07:37:48.839", "fingerprint" : "92d388bbd11c0710cb56e78e75e3289e93267955d0ffc5bb1b24d0117ed10919", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.himarley.com/careers?gh_jid=7773714003", "externalId" : "7773714003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P designing our internal knowledge systems, the surfaces by which we make decisions, and the patterns by which teams build and design agents; and making the call — over and over — about what should be centralized and what should live with the team. You'll work alongside a Builder — Technical Infrastructure counterpart who owns the deeper technology spine. Together, you're a small team with a very large scope. The shape of this person is rare: design taste paired with the ability to ship. You live in Claude Code, Codex, and Cursor — you don't just produce mocks, you build the thing. There's a strong product lean to this role too: you'll be taking a steady stream of signals and requests from across Hi Marley, learning how to prioritize, and managing a portfolio of small, well-shaped internal products at once. If that's you, and you want to set the bar for what great internal experience looks like at a modern insurance company, this is the role for you. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week. What You'll Do: Build the internal operating fabric of Hi Marley: Design and ship the tools every department uses — internal knowledge systems, decision-making surfaces, dashboards, catalogs, agent-builder UIs. The thing you build is what turns Hi Marley into an orchestra rather than a set of soloists. Get the data layer right: Understand how data flows across the company — what lives where, what should be centralized, what should stay with the team — and design experiences that expose the right slice to the right audience. Design how we build and ship internal agents: Create the surfaces and patterns by which Hi Marley teams compose, register, and trust the agents they author. Discoverable, governable, well-crafted. Run a portfolio of small internal products: Take in requests from across the company, prioritize by leverage, sequence the work, and ship. This isn't one big roadmap; it's many small ones, held together with taste. Hold the centralized-vs-decentralized balance: One of the harder calls in this role is when a capability belongs to the platform vs. when it belongs to a team. You'll make those calls in collaboration with engineering and ops leadership. Partner with the Builder — Technical Infrastructure: They own the platform spine; you own the experience layer on top. You'll be merging each other's PRs. Use the tools: You live in Claude Code, Codex, and Cursor (or the next thing if it's better when you read this). You ship at the velocity of a small team because your craft is shaped by agentic coding. What We're Looking For: Hybrid design + engineering chops: You have strong design instincts and you ship production code. You sketch, code, and merge your own PRs — no handoff. Modern frontend stack: Strong with React, Next.js, TypeScript, Tailwind, shadcn/ui (or equivalent). Comfortable touching the backend when the boundary is unclear. Lives in agentic coding tools: Claude Code, Codex, Cursor — these are your default environment. You don't just \"use AI to help\"; your craft is shaped by these tools. Product instinct, not just craft: You can hold ten internal asks in your head, prioritize by leverage, and ship a coherent portfolio of small, well-shaped products. Comfort with ambiguity and with saying no. Taste as a moat: You make UI judgment calls beyond what's in the spec — spacing, motion, information density — because you've internalized why those things matter. Systems thinking about data and tools: You think in terms of where data lives, what to centralize vs. decentralize, and how to expose it at the right level. You design with the data architecture in mind, not just the screen. Communication and craft: You can present your work to engineers, executives, and customers, and explain why you made a decision in language that matches the audience. Bonus — AWS familiarity: Hi Marley is AWS-only (Cognito, Bedrock, CDK). You don't need to be deep here on day one — your infra counterpart owns the spine — but be willing to go deep when needed. Compensation, Benefits & Perks: At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$152,000–$283,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It’s most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role. In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including: Equity grants for all employees A 4% matching 401(k) program Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week Monthly wellness stipend Paid parental leave A flexible vacation policy - we all work hard and take time when we need it Who We Are: At Hi Marley, our culture is built on three core values that every employee embodies: Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk. Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere. Ubuntu (“I am because we are”) – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together. Life at Hi Marley: Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We’re proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose. A fun, lively startup culture that embraces creativity and innovation Core values-based leadership that guides our decision-making and daily interactions A culture of engagement, diversity, inclusion, and belonging — everyone’s voice matters Flexible, hybrid work environment that values balance and trust Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves. Hi Marley 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. For more information, please review the documents under \"E-Verify Poster\" here: https://e-verify.uscis.gov/web/OnlineResources.aspx", "summaryDescription" : "Principal AI Product Engineer at Hi Marley", "postedDate" : "2026-06-15T23:26:27.949", "createdAt" : "2026-06-15T23:26:27.949", "lastUpdated" : "2026-06-16T07:37:48.839", "ingestTimestamp" : "2026-06-15T23:26:27.949", "mongoId" : "6a306091f292fd229cf909c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca53574d8ee00a09b531d", "title" : "Principal / Lead Software Engineer, Core Engineering Products", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Software Engineers in Singapore, adjusted for GovTech's industry and the lead seniority level." }, "location" : "CEP Core Engineering Products", "locations" : [ "CEP Core Engineering Products" ], "timestamp" : "2026-06-16T01:24:42.468", "fingerprint" : "cc77ac078f6890a8f531203e5e3cbfa533824eee200d8e87044dbbdcc116a83e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4001875201?gh_jid=4001875201", "externalId" : "4001875201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "qualificationsBasic" : "8+ years experience", "remoteFriendly" : false, "rawDescription" : "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 & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] Government Commercial Cloud (GCC) is a key platform within Singapore Government Technology Stacks to allow government agencies to create high quality and reliable government services for citizens using commercial cloud services. GCC Engineering Team develops the required platform automations, processes, toolchain and policies/best practices to enable government agencies to develop, deploy and operate government services on the cloud in an agile yet secure manner. If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated peers, we welcome you to join GCC. These are newly created positions with many opportunities to make a difference! Participate in an in-house engineering squad for engineering excellence in design, development and operational of the Singapore Government Commercial Cloud Platform Practice and lead other development communities to develop and deploy on Government Commercial Cloud Opportunities to learn and implement large scale automation with cloud landing zone across multiple Cloud Service Providers in Government Context Responsible to develop and maintain the platform used by multiple government agencies Be the guiding subject matter of expert for Devops methodologies, contribute to Automation, Availability, Scalability and Resiliency to the team and the development communities within government 8+ years of experience in Infrastructure and Platform as a Service using Cloud, Openshift, OpenStack, Vmware Understand about large scale automated infrastructure and network deployment Strong skills in platform network such as BGP, software defined network, firewalls, Anycast, DNS Practitioner in agile development, secure pipelines and deployment automation Understand and willing to learn about Infrastructure as Code, Policies as Code and Git Familiar with cloud services such as AWS, Azure and GCP Appreciate or willing to learn large-scaled distributed systems and their challenges. Familiar with code security and opensource tools in relevant domains Passionate in automation Good to have - practiced Terraform and Bash scripting too Good to have – understand about Cloud Landing Zone such as Control Tower, Terraform Landing Zone, Microsoft Azure CAF Good to have - practiced Site Reliability Engineering principle and familiar with application monitoring tools [What we are looking for] Strong understanding and appreciation of positive team culture. Care about growing and coaching staff. Passion for automation for large scalable systems ensuring they are highly secured, resilient and highly available. Have strong communication skills and belief in what you are doing. Extremely strong team-player, primary focus is on leveraging your experiences to help the team succeed. Strong contributor and hands-on in all your past experiences. Degree in Computer Science or related disciplines. Advocate for the best Engineering and DevOps principles. 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" : "Principal / Lead Software Engineer, Core Engineering Products at GovTech", "postedDate" : "2026-06-14T19:25:31.435", "createdAt" : "2026-06-14T19:25:31.435", "lastUpdated" : "2026-06-16T01:24:42.468", "ingestTimestamp" : "2026-06-14T19:25:31.435", "mongoId" : "6a2ca53574d8ee00a09b531d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c4f", "title" : "Principal Product Designer", "company" : "Gallup", "salary" : { "min" : 200000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T14:09:56.940", "fingerprint" : "43bd2c38ac6034910ca3f73b6c88a10c7e593ad4d81117f96b1acb910ee74b54", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4247101009", "externalId" : "4247101009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "majorSkills" : "User experience, Interface design, Visual design, Design systems", "majorSkillsList" : [ "User experience", "Interface design", "Visual design", "Design systems" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Lead design strategy for Gallup products that enhance people’s work and lives. As a principal product designer at Gallup, you will serve as the strategic design leader for CliftonStrengths® or Gallup’s employee experience platform, Gallup Access, defining what we build and how it comes to life across every customer touchpoint. You will bring together web, mobile and marketing into one cohesive customer journey, ensuring that every interaction reflects the clarity and impact of the science behind it. In this role, you’ll influence product direction, translate complex insights into intuitive experiences and elevate design quality across the organization. What You’ll Do Own and elevate the product design vision, setting standards for experience quality across the ecosystem Lead and align designers across web, mobile and marketing, ensuring clarity of direction and consistency of execution Partner with product and engineering to define opportunity spaces, shape product strategy and guide solution development Work closely with senior scientists to make complex research and data accessible, intuitive and actionable for users Strengthen and evolve scalable design systems that enable cross-platform consistency and long-term growth Create high-level prototypes and experience concepts that bring strategic direction to life Shape the design culture of the team by investing in the growth of individual designers, raising the bar for craft, and fostering an environment of continuous learning and excellence Influence senior stakeholders through clear communication and confident design rationale Explore emerging tools and AI-enabled workflows that improve how we design, prototype and collaborate What Makes You Stand Out Ecosystem leadership: You have experience aligning multiple teams or product groups around a unified design vision. Systems-scale thinker: You have built or evolved design systems and understand component architecture, governance and cross-team adoption at scale. Outcome-oriented operator: You prioritize getting meaningful work done over tooling preferences and adapt quickly as workflows evolve. Complexity translator: You distill technical, data-rich or scientific content into intuitive user experiences that exceed expectations. Influential communicator: You confidently align senior stakeholders and cross-functional leaders around strategic design decisions. What You Need Bachelor’s or master’s degree in human-computer interaction, product design, interaction design, computer science, cognitive science or related field, or equivalent experience, required At least 10 years of experience designing enterprise and consumer-facing digital products At least three years working at staff, principal or similar senior levels required Demonstrated ownership of end-to-end product experiences across web and mobile required Experience building, scaling or evolving design systems required Portfolio showcasing strategic leadership and measurable product impact required Proficiency in Figma and modern component-based design workflows required Experience experimenting with AI tools to enhance product design, productivity and workflows required Demonstrated experience mentoring designers across multiple levels required A commitment to working on-site at Gallup’s San Francisco 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; mass transit reimbursement; 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 $200,000-$240,000 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" : "Principal Product Designer at Gallup. Skills: User experience, Interface design, Visual design, Design systems", "postedDate" : "2026-06-16T03:17:09.993", "createdAt" : "2026-06-16T03:17:09.993", "lastUpdated" : "2026-06-16T14:09:56.940", "ingestTimestamp" : "2026-06-16T03:17:09.993", "mongoId" : "6a30a1e0f292fd229c116c4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 240000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "User experience", "Interface design", "Visual design", "Design systems" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f83f292fd229c05a207", "title" : "Senior Data Scientist, Product, AI Context Engineering", "industry" : "Technology", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Mountain View, adjusted for the technology industry and senior experience level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:39:17.340", "fingerprint" : "ec5f96e8443b72b363ea10fda0498f617f9c560534956496923ed887cfde8581", "source" : "google", "language" : "en", "externalId" : "91207088033669830", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, BigQuery, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Data Science", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Conduct statistical analysis, Build and maintain BI dashboards, Collaborate with product teams, Drive product innovation through AI", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams", "domainKnowledge" : "Product analytics; AI context engineering", "domainList" : [ "product-analytics", "ai-context-engineering" ], "domainSpecificKnowledge" : [ "Product analytics", "AI context engineering" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Drive product innovation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years Python, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "summaryDescription" : "Senior Data Scientist, Product, AI Context Engineering. Skills: Machine Learning, AI, Data Science. Develop and deploy machine learning models. 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" : "69e104412beec4dd3def2765", "title" : "Principal Product Manager, Creator Products", "company" : "Audible, Inc.", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, subsidiaries", "salary" : { "min" : 179000.0, "max" : 243400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T08:38:50.343", "fingerprint" : "0d77a9b004701a874a91d36f401c25817fd4d9e26757212673d702209b7bedda", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386653/apply", "externalId" : "7de18096-3e5e-45bf-86d6-d1415cef84b5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "KPI measurement", "Data-driven recommendations", "Product innovation", "Customer experience enhancement" ], "hardSkillsList" : [ "Functional requirements writing", "Lean development tools", "Experimentation", "Rapid prototyping", "Product roadmap ownership", "Stakeholder alignment", "Tradeoff discussions", "Industry trend monitoring", "Technology advancement monitoring" ], "softSkillsList" : [ "Entrepreneurial", "Independent problem-solver", "Customer obsessed" ], "hardSkills" : [ { "name" : "Functional requirements writing", "level" : "intermediate" }, { "name" : "Lean development tools", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" }, { "name" : "Product roadmap ownership", "level" : "intermediate" }, { "name" : "Stakeholder alignment", "level" : "intermediate" }, { "name" : "Tradeoff discussions", "level" : "intermediate" }, { "name" : "Industry trend monitoring", "level" : "intermediate" }, { "name" : "Technology advancement monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial" }, { "name" : "Independent problem-solver" }, { "name" : "Customer obsessed" } ], "majorSkills" : "Product strategy, Roadmap development, Creator products, Marketplace products", "majorSkillsList" : [ "Product strategy", "Roadmap development", "Creator products", "Marketplace products" ], "coreResponsibilities" : "Advocate for Audible's creators, Write functional requirements, Communicate functional requirements, Use lean development tools, Drive strategic product decisions, Develop product roadmap, Own product roadmap, Frame discussions with stakeholders, Lead discussions with stakeholders, Assess opportunities, Make data-driven recommendations, Build consensus for investment, Manage creator experience, Understand product strengths, Understand product weaknesses, Find opportunities to innovate, Enhance customer experience, Manage dependencies, Unblock teams, Optimize discovery work, Optimize delivery work, Communicate product metrics, Communicate product insights, Support building long-term strategy, Support building roadmap, Set vision for creator support, Identify end-to-end opportunities, Drive alignment, Lead tradeoff discussions, Produce actionable decisions, Manage customer experiences, Balance big ideas, Balance incremental impact, Monitor industry trends, Monitor technology advancements", "teamCollaboration" : "Multidisciplinary teams; Cross-functional teams; Product marketing stakeholders; UX stakeholders; Insight stakeholders; Business stakeholders; Technical stakeholders", "projectManagementSkills" : [ "Roadmap strategy", "Cross-functional coordination", "Managing moving pieces" ], "domainKnowledge" : "Creator products; Audiobook creation; Spoken word audio; Two-sided marketplaces", "domainList" : [ "creator-products", "audiobook-creation", "spoken-word-audio", "two-sided-marketplaces" ], "domainSpecificKnowledge" : [ "Creator products", "Audiobook creation", "Spoken word audio", "Two-sided marketplaces" ], "toolProficiency" : [ "Lean development tools", "Experimentation tools", "Rapid prototyping tools" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Functional requirements", "innovationCreativity" : "Innovate; Enhance experience; Big ideas", "problemSolvingSkills" : "Independent problem-solver; Complex problems; Data-driven decisions", "outcomesObjectives" : "Benefit customers; Benefit business; Deliver highest value", "qualificationsBasic" : "Bachelor's degree, 10+ years product management experience, Experience building complex products, Experience leading complex products, Full product lifecycle experience, Roadmap strategy experience, Cross-functional coordination experience, Managing multiple moving pieces", "qualificationsPreferred" : "MBA or relevant experience, Experience in creator space, Product experience with creators, Product experience with rights holders, Product experience with spoken word technology, Product experience in two-sided marketplaces, Go-to-market experience, Demonstrated data driven product leadership, Excellent oral communication skills, Excellent written communication skills, Collaboration skills, Ability to work independently, Ability to work autonomously, Ability to work cross-functionally", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As the Principal Product Manager, Creator Products at Audible, you will be responsible for supporting one or more of Audible’s creator products including the Audiobook Creation Exchange (ACX), one of the largest spoken word audio marketplaces in the world. ABOUT YOU You are an entrepreneurial product thinker with proven experience building and launching creator or consumer-facing products at scale. You are a data-driven leader, with experience establishing and measuring impactful KPIs and working through complex problems. You are a natural collaborator, with experience aligning multidisciplinary, cross-functional teams. You are an independent problem-solver that can confidently lead teams through ambiguity. You are customer obsessed and excited to build products for creators, including authors, publishers, and narrators. As a Principal Product Manager, Creator Products, you will... - Advocate for, and obsess over Audible’s creators acting as the authority for creator and customer experience - Write and communicate functional requirements, partnering with various product marketing, UX and insight stakeholders - Use lean development tools, like experimentation and rapid prototyping, to drive teams towards strategic product decisions - Develop and own a product roadmap, demonstrating a strong focus on KPIs and measurement - Frame and lead discussions with key business and technical stakeholder to assess opportunities, make data-driven recommendations, and build consensus ahead of important investment decisions - Be the authority on the creator experience that you manage - Understand your products strengths and weaknesses - Find the right opportunities to innovate and enhance the experience with the right combination of essential and magical - Manage dependencies and unblock your teams to optimize discovery and delivery work - Proactively communicate product metrics and insights, showcasing a deep understanding of how your features are benefiting customers and the business - Support building the long-term strategy and roadmap for Creator Products, helping to set the vision for how Audible supports global creators - Identify new end-to-end Creator Product opportunities across creation, growth, and monetization space - Drive alignment by leading tradeoff discussions that produce actionable decisions - Be the authority on the customer experiences that you manage - Find the right opportunities to innovate and skillfully balance big ideas with incremental impact for your customers - Continually monitor industry trends and technology advancements to ensure Audible is delivering the highest value for our creators’ evolving needs ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Bachelor's degree - 10+ years of product management experience - Experience building and leading complex products through the full lifecycle, including roadmap strategy, cross-functional coordination, and managing multiple moving pieces simultaneously Preferred Qualifications: - MBA or relevant experience - Experience in the creator space - Product experience with creators, rights holders, spoken word technology or in two-sided marketplaces - Go-to-market experience with creator tech products - Demonstrated data driven product leadership - Excellent oral and written communication skills - Strong collaboration skills that allow you to work with both technical and non-technical individuals - Demonstrated ability to work independently, autonomously, and cross-functionally 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, Culver City - 179,900.00 - 243,400.00 USD annually", "summaryDescription" : "Principal Product Manager, Creator Products at Audible, Inc.. Skills: Product strategy, Roadmap development, Creator products, Marketplace products. Advocate for Audible's creators. Write functional requirements", "postedDate" : "2026-06-13T11:30:16.101", "createdAt" : "2026-06-13T11:30:16.101", "lastUpdated" : "2026-06-15T08:38:50.343", "ingestTimestamp" : "2026-06-13T11:30:16.101", "mongoId" : "69e104412beec4dd3def2765", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386653/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 243400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Functional requirements writing", "Lean development tools", "Experimentation", "Rapid prototyping", "Product roadmap ownership", "Stakeholder alignment", "Tradeoff discussions", "Industry trend monitoring", "Technology advancement monitoring", "Entrepreneurial", "Independent problem-solver", "Customer obsessed", "Product strategy", "Roadmap development", "Creator products", "Marketplace products", "KPI measurement", "Data-driven recommendations", "Product innovation", "Customer experience enhancement", "Roadmap strategy", "Cross-functional coordination", "Managing moving pieces", "Audiobook creation", "Spoken word audio", "Two-sided marketplaces", "Experimentation tools", "Rapid prototyping tools" ], "skillCount" : 28, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30a1e0f292fd229c116c4d", "title" : "Principal Product Designer", "company" : "Gallup", "salary" : { "min" : 155000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "timestamp" : "2026-06-16T12:43:37.234", "fingerprint" : "874c780dba1e2f47e0276b085a01d6310d72370157e1cc14c77e518fde6af878", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4246717009", "externalId" : "4246717009", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Lead design strategy for Gallup products that enhance people’s work and lives. As a principal product designer at Gallup, you will serve as the strategic design leader for CliftonStrengths® or Gallup’s employee experience platform, Gallup Access, defining what we build and how it comes to life across every customer touchpoint. You will bring together web, mobile and marketing into one cohesive customer journey, ensuring that every interaction reflects the clarity and impact of the science behind it. In this role, you’ll influence product direction, translate complex insights into intuitive experiences and elevate design quality across the organization. What You’ll Do Own and elevate the product design vision, setting standards for experience quality across the ecosystem Lead and align designers across web, mobile and marketing, ensuring clarity of direction and consistency of execution Partner with product and engineering to define opportunity spaces, shape product strategy and guide solution development Work closely with senior scientists to make complex research and data accessible, intuitive and actionable for users Strengthen and evolve scalable design systems that enable cross-platform consistency and long-term growth Create high-level prototypes and experience concepts that bring strategic direction to life Shape the design culture of the team by investing in the growth of individual designers, raising the bar for craft, and fostering an environment of continuous learning and excellence Influence senior stakeholders through clear communication and confident design rationale Explore emerging tools and AI-enabled workflows that improve how we design, prototype and collaborate What Makes You Stand Out Ecosystem leadership: You have experience aligning multiple teams or product groups around a unified design vision. Systems-scale thinker: You have built or evolved design systems and understand component architecture, governance and cross-team adoption at scale. Outcome-oriented operator: You prioritize getting meaningful work done over tooling preferences and adapt quickly as workflows evolve. Complexity translator: You distill technical, data-rich or scientific content into intuitive user experiences that exceed expectations. Influential communicator: You confidently align senior stakeholders and cross-functional leaders around strategic design decisions. What You Need Bachelor’s or master’s degree in human-computer interaction, product design, interaction design, computer science, cognitive science or related field, or equivalent experience, required At least 10 years of experience designing enterprise and consumer-facing digital products At least three years working at staff, principal or similar senior levels required Demonstrated ownership of end-to-end product experiences across web and mobile required Experience building, scaling or evolving design systems required Portfolio showcasing strategic leadership and measurable product impact required Proficiency in Figma and modern component-based design workflows required Experience experimenting with AI tools to enhance product design, productivity and workflows required Demonstrated experience mentoring designers across multiple levels required 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 $155,000-$185,000 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" : "Principal Product Designer at Gallup", "postedDate" : "2026-06-16T03:17:03.772", "createdAt" : "2026-06-16T03:17:03.772", "lastUpdated" : "2026-06-16T12:43:37.234", "ingestTimestamp" : "2026-06-16T03:17:03.772", "mongoId" : "6a30a1e0f292fd229c116c4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306f02f292fd229cfe3d41", "title" : "Principal Product Counsel", "company" : "Agoda", "industry" : "Legal", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "THB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Bangkok, Thailand, adjusted for Principal Product Counsel seniority and full-time employment." }, "location" : "Bangkok, Thailand", "locations" : [ "Bangkok", "Thailand" ], "timestamp" : "2026-06-16T10:17:20.999", "fingerprint" : "db989a121b3418642e2f6fe87d0bd186369094603cc97604179acf0c54fc43f5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/agoda/jobs/8002546", "externalId" : "8002546", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangkok", "country" : "Thailand", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.7524938,100.4935089" } ], "locationText" : "Bangkok, Thailand", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Regulatory analysis", "Risk management", "Legal analysis", "Compliance oversight" ], "majorSkills" : "Legal compliance, Regulatory affairs", "majorSkillsList" : [ "Legal compliance", "Regulatory affairs" ], "coreResponsibilities" : "Manage regulatory requirements, Oversee risk management, Conduct legal analysis, Ensure compliance oversight", "domainKnowledge" : "Legal compliance; Regulatory requirements; Risk management", "domainList" : [ "legal-compliance", "regulatory-requirements", "risk-management" ], "domainSpecificKnowledge" : [ "Legal compliance", "Regulatory requirements", "Risk management" ], "rawDescription" : "About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Our Company Booking Holdings (NASDAQ: BKNG) is the world’s leading provider of online travel & related services, provided to consumers and local partners through five primary B2C brands: Booking.com, Agoda, Priceline, KAYAK, and OpenTable. Collectively, Booking Holdings operates in more than 220 countries and territories in Europe, North America, APAC, South America, the region, the Middle East and Africa in more than 40 languages. The mission of Booking Holdings is to make it easier for everyone to experience the world. The Opportunity The Principal Product Legal Counsel will play a crucial role in the legal review and guidance of new and existing products, services, and features. Within Booking Holdings, an enhanced and more connected B2B business is being built within Booking Holdings consolidating the businesses of Booking.com, Priceline and Agoda into a single global division (“New B2B Business”). This position requires a deep understanding of e-commerce, technology laws and ability to navigate a cross-jurisdictional regulatory environment. The ideal candidate will possess a data-driven and pragmatic approach to legal issues combined with a strong understanding of risk management, ensuring compliance while supporting the company's growth objectives. Key Responsibilities: Product and Feature Review: Conduct legal assessments of new products, services, and features, providing actionable advice to mitigate risks and ensure regulatory compliance. Policy Development and Maintenance: Update and maintain the company's Terms of Use, privacy policies, and other legal documents to align with evolving laws, regulations, and industry standards. Cross-functional Collaboration: Work closely with product managers, engineers, marketing teams, and other sta keholders to understand product visions and offer legal insights from the concept phase through deployment. Regulatory Compliance: Monitor and analyze changes in applicable e-commerce and technology laws and regulations, advising the Product teams on compliance strategies. Intellectual Property: Provide guidance on intellectual property matters, including copyright and trademark issues related to product development. Data Privacy and Security: Advise on data privacy and security laws, ensuring the company's products and practices meet global data protection standards. General Legal Support: Offer general legal support related to product development, including drafting and negotiating agreements with partners and vendors when necessary. Qualifications: Juris Doctor (JD) from an accredited law school. A minimum of 8+ years of relevant legal experience, preferably in the technology or e-commerce sectors. Strong working knowledge of e-commerce law, AI, digital privacy laws, and technology-related regulations. Excellent analytical, negotiation, and communication skills Demonstrated ability to work effectively in a fast-paced environment and manage multiple projects with varying deadlines. Team player with a commitment to excellence and high standards of integrity. Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover more about working at Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/ LinkedIn https://www.linkedin.com/company/agoda YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.", "summaryDescription" : "Principal Product Counsel at Agoda. Skills: Legal compliance, Regulatory affairs. Manage regulatory requirements. Oversee risk management", "postedDate" : "2026-06-16T01:15:34.818", "createdAt" : "2026-06-16T01:15:34.818", "lastUpdated" : "2026-06-16T10:17:20.999", "ingestTimestamp" : "2026-06-16T01:15:34.818", "mongoId" : "6a306f02f292fd229cfe3d41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Legal compliance", "Regulatory affairs", "Regulatory analysis", "Risk management", "Legal analysis", "Compliance oversight", "Regulatory requirements" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306f13f292fd229cfe4e3e", "title" : "Sr Principal Data Scientist", "company" : "Smartsheet", "industry" : "Technology", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr Principal Data Scientist in India, adjusted for executive seniority and SaaS industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:57:10.373", "fingerprint" : "a47fdd84f1abdd9a6c6bad7c3ae31c23d9dd31bbb39de2f4c75ee09115a7ad98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smartsheet/jobs/8007345", "externalId" : "8007345", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor You Have: Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote", "summaryDescription" : "Sr Principal Data Scientist at Smartsheet", "postedDate" : "2026-06-16T01:15:47.812", "createdAt" : "2026-06-16T01:15:47.812", "lastUpdated" : "2026-06-16T12:57:10.373", "ingestTimestamp" : "2026-06-16T01:15:47.812", "mongoId" : "6a306f13f292fd229cfe4e3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306516f292fd229cfa5213", "title" : "Principal Product Manager", "company" : "Headway", "industry" : "Product Management", "salary" : { "min" : 300000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T14:34:54.959", "fingerprint" : "be2518d39437d52a727842b31f4082ce04855cde91d1ccad6eb95911e9734ada", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/headway/3dd3085b-471c-4416-a782-9c9fccf7e32f/application", "externalId" : "3dd3085b-471c-4416-a782-9c9fccf7e32f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Product strategy", "Roadmap planning", "Stakeholder alignment", "Customer insight", "Build vs buy", "Executive influence", "Product thinking", "AI deployment" ], "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Product strategy, AI, Healthcare", "majorSkillsList" : [ "Product strategy", "AI", "Healthcare" ], "coreResponsibilities" : "Define strategy for major product domain, Identify highest-leverage bets, Make case with data and customer insight, Drive alignment across teams, Ship meaningful product, Own roadmap end-to-end, Navigate tradeoffs under uncertainty, Hold high bar for quality, Build foundations that last, Unlock next 2-3 years product work, Elevate PM craft on team, Set standard for product thinking, Influence product org, Make informed build-vs-buy calls", "teamCollaboration" : "Cross-functional teams; Executive leadership; Engineering; Design; Clinical; Legal; Operations", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Mental healthcare; Insurance; Therapist practice management; Clinical outcomes; Healthcare platform", "domainList" : [ "mental-healthcare", "insurance", "therapist-practice-management", "clinical-outcomes", "healthcare-platform" ], "domainSpecificKnowledge" : [ "Mental healthcare", "Insurance", "Therapist practice management", "Clinical outcomes", "Healthcare platform" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "AI possibilities", "problemSolvingSkills" : "Define the problem; Solve the problem", "outcomesObjectives" : "Ship meaningful product; Build foundations that last", "qualificationsBasic" : "Own significant product domain end-to-end, Define product strategy, Align stakeholders up to executive leadership, Set high bar for product, Work with high degree of autonomy, Shape roadmap from first principles, Find the right problem, Convince organization to solve problem, Make case with data and customer insight, Drive alignment across engineering, design, clinical, legal, operations, executive leadership, Ship meaningful product, Own roadmap end-to-end, Navigate tradeoffs under uncertainty, Hold high bar for quality and velocity, Build capabilities, frameworks, or systems, Elevate PM craft on team, Set standard for product thinking, Influence broader product org, Make informed build-vs-buy calls, Influence at executive level, Present strategy, Field hard questions, Get buy-in without formal authority, Level up PMs around you, Thrive in ambiguity, Define problem as readily as solve it, Evaluate and deploy AI-powered features responsibly, Motivated by Headway's mission", "qualificationsPreferred" : "AI-fluent, Point of view on AI product leverage", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. ABOUT THIS ROLE We're looking for Principal PMs to lead some of our highest-stakes, most complex product areas. Principal Product Managers who have a builder-mindset, and are curious about what AI makes possible and eager to build in an environment where it's a core part of the toolkit — not a side project. We're actively hiring across our Patient, Payer, Provider, and Platform Product teams, and we open this pipeline to find exceptional Principal PM talent as the right roles take shape. As a Principal PM at Headway, you'll own a significant product domain end-to-end — defining the strategy, aligning stakeholders up to and including executive leadership, and setting a high bar for what great product looks like. You'll work with a high degree of autonomy on problems that don't have obvious answers. You'll shape the roadmap from first principles, not execute against one that's handed to you. This is not a role for someone who needs a well-defined problem. The best candidates have a track record of finding the right problem and convincing the organization to solve it. THE PROBLEMS WE'RE SOLVING For Patients Finding the right therapist, understanding your insurance benefits, and staying in care shouldn't be hard. Today it is. We're building AI-powered matching and personalized care navigation that help patients get into — and stay in — mental health care at scale. One million patients a month ask for a referral to a mental health provider. We're building the systems that ensure they actually get there. For Providers Therapists spend a staggering amount of time on administrative tasks — credentialing, documentation, scheduling, billing — instead of with their patients. We're using AI to automate clinical workflows, simplify complex insurance requirements, and give providers more time to do what they came here to do. The goal: a thriving practice on Headway that practically runs itself. For Payers Health insurers are asking harder questions: Is care on Headway actually working? Is it worth what we're paying? We're using AI to answer them at scale — measuring clinical outcomes, building dashboards that demonstrate responsible care, and moving toward a model where patients are matched to the right care pathways and providers are aligned around better outcomes. This work protects Headway's standing with insurers and opens doors to deeper, more strategic partnerships. For Platform The infrastructure underneath Headway — billing, claims, payments, and trust and safety — needs to scale reliably at the speed of our growth. We’re using AI to automate complex, high-volume workflows, detect fraud and errors faster, and build systems that get smarter over time. This is foundational infrastructure with direct impact on Headway's economics and compliance posture. YOU WILL.. - Define the strategy for a major product domain. Identify the highest-leverage bets Headway should make, make the case with data and customer insight, and drive alignment across engineering, design, clinical, legal, operations, and executive leadership. - Ship meaningful product. Not strategy decks — real product with measurable outcomes. You'll own the roadmap end-to-end, navigate tradeoffs under uncertainty, and hold a high bar for quality and velocity. - Lay foundations that last. Build capabilities, frameworks, or systems that unlock the next 2–3 years of product work across your domain — not just what's needed this quarter. - Elevate PM craft on your team. As one of the most senior ICs on the PM team, you'll set the standard for what great product thinking looks like — mentoring PMs, raising our hiring bar, and influencing how the broader product org works. - Drive alignment across complexity. Work across engineering, design, data, clinical, legal, operations, and finance without formal authority — and get the right work resourced, sequenced, and shipped. YOU'D BE A GREAT FIT IF - 10+ years of product management experience with a track record of owning large, complex product domains end-to-end - You've shaped strategy at the org level — not just your team's roadmap, but how multiple teams think about what to build and why - You've built 0→1 and scaled — you've launched something new and also meaningfully improved something that already existed at scale - You're deeply technical — you can have architectural conversations with engineers, challenge assumptions, and make informed build-vs-buy calls - You've influenced at the executive level — presenting strategy, fielding hard questions, and getting buy-in without formal authority - You've leveled up PMs around you through mentorship, collaboration, or just the quality of your own work - You thrive in ambiguity — you define the problem as readily as you solve it - You're AI-fluent — you understand how to evaluate and deploy AI-powered features responsibly and have a point of view on where AI creates real product leverage - You're motivated by Headway's mission of making mental healthcare accessible and affordable We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here. https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com http://findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.", "summaryDescription" : "Principal Product Manager at Headway. Skills: Product strategy, AI, Healthcare. Define strategy for major product domain. Identify highest-leverage bets", "createdAt" : "2026-06-16T00:30:43.328", "lastUpdated" : "2026-06-16T14:34:54.959", "ingestTimestamp" : "2026-06-16T00:30:43.328", "mongoId" : "6a306516f292fd229cfa5213", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 300000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analysis", "Product strategy", "AI", "Healthcare", "Roadmap planning", "Stakeholder alignment", "Customer insight", "Build vs buy", "Executive influence", "Product thinking", "AI deployment", "Mental healthcare", "Insurance", "Therapist practice management", "Clinical outcomes", "Healthcare platform" ], "skillCount" : 16, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "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" : "6a2c6aaa74d8ee00a090d2cb", "title" : "Principal Engineer UI, Lifecycle Management", "company" : "Okta", "industry" : "SaaS", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Engineer UI in India, adjusted for executive seniority, technology industry, and Bengaluru city tier." }, "location" : "Bengaluru ", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-15T21:14:17.578", "fingerprint" : "21b1104a1a1a4727d7eba5c5db4b32312a4714338a0be8b707665f46fce9556f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.okta.com/company/careers/opportunity/7741599?gh_jid=7741599", "externalId" : "7741599", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Overview At Okta, we are building a world where anyone can safely use any technology, and within Okta Platform R&D, we're specifically focused on protecting the future of work. We are a globally-minded company dedicated to delighting our customers across the world. We are looking for an experienced Principal UI Software Engineer (who can work full stack) to work within our Identity Lifecycle and Administration with a focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. You will serve as the technical authority for the Identity Lifecycle and Administration group, responsible for defining and driving the long-term technical strategy and architecture across the entire. In this role, you’ll get to… Implement specialized UI components where needed (e.g., editors, grids, structured data components) with a focus on performance and usability Evolve front-end architecture, including component libraries, layout patterns, theming, and global UI behaviors Often operate with minimal design oversight, owning interaction decisions and frontend architecture for mission-critical systems used in real-world operations Be a force multiplier who can create frameworks and solutions that enable other teams within the group to be more productive. Provide deep technical mentorship and sponsorship for key initiatives led by Senior and Staff engineers, multiplying their impact and ensuring alignment with company strategy. Establish and govern architectural standards and best practices for developer experience, observability, and quality across all the entire group. Minimum Requirements 10+ years of software development experience Proficiency in modern front‑end technologies, including Type Script, React, and Next.js Expertise in software architecture and implementation, with a strong development background in a language like Java, Python, or C++, and experience with frameworks such as Spring, React.js, or Node.js. Experience working with design systems, component libraries, and scalable UI architectures Obsessive attention to detail in user experiences A deep understanding of web performance optimization, accessibility standards (WCAG), and responsive design principles A strong grasp of software engineering designs, principles, and practices, with a focus on building scalable and maintainable systems. You have strong communication skills and can distill complex concepts into simple, easy to understand narratives Education B. S. Computer Science or equivalent #LI-Hybrid P24179_3395771 The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.", "summaryDescription" : "Principal Engineer UI, Lifecycle Management at Okta", "postedDate" : "2026-06-14T19:15:36.746", "createdAt" : "2026-06-14T19:15:36.746", "lastUpdated" : "2026-06-15T21:14:17.578", "ingestTimestamp" : "2026-06-14T19:15:36.746", "mongoId" : "6a2c6aaa74d8ee00a090d2cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca5bd74d8ee00a09b7ee8", "title" : "Principal Data Scientist", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 950000.0, "max" : 1450000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Denmark, adjusted for executive seniority, biotech industry, and Copenhagen city tier." }, "location" : "Copenhagen", "locations" : [ "Copenhagen" ], "timestamp" : "2026-06-16T00:46:31.765", "fingerprint" : "9488786ac1ba448028ae7190dbf3c956e5ec1dfccd326cf39dd5db85c2c2d3e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7724568003", "externalId" : "7724568003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Copenhagen", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.6867243,12.5700724" } ], "locationText" : "Copenhagen, Denmark", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Forecasting", "professionalSkills" : [ "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development" ], "hardSkillsList" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Forecasting, Causal inference", "majorSkillsList" : [ "Machine learning", "Forecasting", "Causal inference" ], "coreResponsibilities" : "Lead data science workstream on client engagements, Set technical bar on machine learning, Set technical bar on forecasting, Build methods and templates, Mentor and grow data scientists, Mentor and grow data engineers, Shape new offerings, Represent Intellishore externally", "teamCollaboration" : "Client executives; Brand leadership; Leadership team", "domainKnowledge" : "Commercial pharma; Regulated industry; Healthcare; Pharma", "domainList" : [ "commercial-pharma", "regulated-industry", "healthcare", "pharma" ], "domainSpecificKnowledge" : [ "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "communicationSkills" : "Thought leadership; Client conversations", "specialRequirements" : "Right to work in Denmark", "qualificationsBasic" : "8+ years in data science, Machine learning experience, Forecasting experience, Commercial context experience, Marketing context experience, Pricing context experience, Lead senior client-facing engagements, Lead business-critical internal programs, Domain grounding in pharma, Domain grounding in healthcare, Domain grounding in regulated industry", "qualificationsPreferred" : "Understanding MLOps, Experience shaping data offerings, Experience shaping AI offerings, Experience launching data offerings, Experience launching AI offerings, Experience shaping data products, Experience shaping AI products, Experience launching data products, Experience launching AI products, Danish language", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The problem we're hiring you to solve Commercial pharma is sitting on a measurement problem. Launch decisions, field force deployment, HCP engagement, pricing - most of the value moves before anyone knows what worked, and the standard playbooks weren't built for fragmented channels, privacy constraints, or the causal questions that actually matter to commercial leaders. And the ground keeps moving - AI is rewriting what \"analytics\" even means to a commercial org, and the regulatory and tech stack underneath it all is shifting faster than most teams can absorb. Intellishore works at the sharp end of this. Our commercial pharma practice partners with global top-20 pharma pioneers on data and AI decisions that shape launches, portfolios, and commercial performance. We're hiring a Principal Data Scientist to lead the technical depth of this work — shaping methodology, owning delivery on our most demanding engagements, and building out how we deliver measurements, causal inference, and machine learning in the next generation of our offerings. What you'll actually do Lead the data science workstream on senior client engagements - typically 1-2 concurrent projects, working directly with client executives and brand leadership. Set the technical bar on machine learning and forecasting across our commercial pharma portfolio and build the methods and templates that scale across the practice and into new segments. Mentor and grow a small team of data scientists and engineers. Team size: 10 today, growing to 30. Shape new offerings alongside our leadership - from scoping to pricing to the IP that underpins them. Represent Intellishore externally: Thought leadership, conferences, and senior client conversations where credibility matters. Who you are Must-haves: 8+ years in data science, with meaningful time spent on machine learning and forecasting in commercial, marketing, or pricing contexts. Track record of leading senior client-facing engagements or business-critical internal programs - consulting, in-house commercial analytics, or both. Strong domain grounding in pharma, healthcare, or another regulated industry where commercial measurement is hard. Nice to have: Understanding MLOps at a level where you know what good looks like and can still get your hands dirty when it matters. Experience shaping or launching data/AI offerings, practices, or products. Danish is a plus, not a requirement. Our working language is English. Why Intellishore? We're a boutique of ~100 people across Copenhagen and Zürich, and our commercial pharma stronghold is genuine - not a side bet. That means three things that matter at your level: Real mandate. You'll own the technical direction of a practice, not a single workstream within a larger machine. If you've wanted to shape how a firm approaches machine learning in healthcare, this is the seat. Concrete path. Practice Lead for ML in Commercial Pharma within 1–2 years; Director track over 2–4 years from hire. We'll map it to your ambitions in the first conversation. Compensation. We'll be direct about level, bonus structure, and the full package early in the process. Practicalities Based in Copenhagen. Expect 3-5 days in the office or at the client site. Travel roughly 5% of weeks, primarily within Europe. You must have the right to work in Denmark at the time of application. Apply We read every application. If most of this resonates, but you don't tick every box, apply anyway — we'd rather have the conversation. Reach out to Sofie Freund with questions: sofie.freund@intellishore.dk · +45 93 98 17 27. We interview on a rolling basis.", "summaryDescription" : "Principal Data Scientist at Intellishore. Skills: Machine learning, Forecasting, Causal inference. Lead data science workstream on client engagements. Set technical bar on machine learning", "postedDate" : "2026-06-14T20:09:49.596", "createdAt" : "2026-06-14T20:09:49.596", "lastUpdated" : "2026-06-16T00:46:31.765", "ingestTimestamp" : "2026-06-14T20:09:49.596", "mongoId" : "6a2ca5bd74d8ee00a09b7ee8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement", "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development", "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e34c40e2acd1b9974a", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Advertising", "salary" : { "min" : 228700.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T06:34:06.169", "fingerprint" : "e48365b86c403c615a246893e6332d35e97417f8226f9370a866d50001d31b19", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "externalId" : "486289d8-494c-400a-8e28-f2291fbb0c9e", "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", "technicalSkills" : "AI/ML, GenAI, LLM, Analytics, Database, Storage", "professionalSkills" : [ "Product sense", "Science vision", "Execution" ], "hardSkillsList" : [ "ML", "LLM", "GenAI models" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" }, { "name" : "LLM", "level" : "intermediate" }, { "name" : "GenAI models", "level" : "intermediate" } ], "majorSkills" : "Gen AI, Applied Science, Product Development", "majorSkillsList" : [ "Gen AI", "Applied Science", "Product Development" ], "coreResponsibilities" : "Manage projects at all stages, Tackle challenging problems, Coordinate high profile projects, Ensure customer and business goals are met, Interface across product, science, and engineering teams, Drive mechanisms for team efficiency, Operate with high degree of autonomy, Prioritize projects and features, Plan projects and features, Manage partners, Track external commitments, Recommend alternative technical approaches, Partner with product, science, and engineering teams, Meet timelines, Role model use of GenAI, Design Gen AI solutions, Implement Gen AI solutions, Create effective ad campaigns, Improve overall experience", "teamCollaboration" : "Cross functional teams; Ads and Retail organizations", "projectManagementSkills" : [ "Project management", "Roadmap strategy", "Roadmap definition" ], "domainKnowledge" : "Generative AI; Advertising landscape; Brand advertising", "domainList" : [ "generative-ai", "advertising-landscape", "brand-advertising" ], "domainSpecificKnowledge" : [ "Generative AI", "Advertising landscape", "Brand advertising" ], "innovationCreativity" : "Invent new product experiences", "qualificationsBasic" : "PhD in Electrical Engineering, Computer Science, Mathematics, or related technical field, 7+ years working with Data & AI technologies, 7+ years designing or architecting systems, 7+ years working directly with engineering teams, 7+ years technical product or program management experience", "qualificationsPreferred" : "8+ years hands-on managing complex technology projects, Experience managing projects across cross functional teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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. The Sponsored Brands team at Amazon is building the next generation of brand advertising products and platforms for advertisers using Gen AI. This role presents an opportunity to join us at the ground floor of this transformation, which is a core part of Amazon's overall business strategy. You will be the Gen AI applied science leader that will determine what products and ads show up in the most critical ad placements across Amazon. You'll have opportunities to deliver at the highest technical level, working with science, product, engineering, and UX, all directly connected to a marketplace of supply and demand. In this highly visible role, you'll collaborate across multiple stakeholders within Ads and Retail. We are seeking a Gen AI Applied Science inventor who has strong product sense, with a proven track record with hands on science vision and execution while building high impact products from the ground up. you will have the opportunity to apply your deep subject matter expertise in the area of ML, LLM and GenAI models. You will invent new product experiences that enable novel advertiser and shopper experiences. This role will work on bringing state-of-the-art GenAI models to production. You will define the long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers. Key job responsibilities You will play a pivotal role in managing projects at all stages: inception, design, development, deployment and subsequent improvements. You will tackle challenging problems and coordinate high profile projects across multiple teams to ensure customer and business goals are met. You will interface across product, science, and engineering teams within the advertising and retail organizations. You will drive mechanisms that allow the team to move quickly and deliver strong results. You will operate with a high degree of autonomy and efficiency. You'll be responsible for project management - prioritize, plan projects and features, manage partners, and track external commitments. You will recommend alternative technical approaches and partner with product, science, and engineering teams to meet timelines. You will actively role model the use of GenAI to make the team more efficient. 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. Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store 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, fast-paced, and collaborative team with an entrepreneurial spirit. Basic Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - 7+ years of working directly with engineering teams experience - 7+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition Preferred Qualifications: - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, Palo Alto - 228,700.00 - 309,400.00 USD annually USA, NY, New York - 218,800.00 - 295,900.00 USD annually USA, WA, SEATTLE - 198,900.00 - 269,000.00 USD annually", "summaryDescription" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Gen AI, Applied Science, Product Development. Manage projects at all stages. Tackle challenging problems", "postedDate" : "2026-06-13T15:11:57.473", "createdAt" : "2026-06-13T15:11:57.473", "lastUpdated" : "2026-06-15T06:34:06.169", "ingestTimestamp" : "2026-06-13T15:11:57.473", "mongoId" : "69fda4e34c40e2acd1b9974a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413683/apply", "salaryAnnualMin" : 228700, "salaryAnnualMax" : 309400, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "ML", "LLM", "GenAI models", "Gen AI", "Applied Science", "Product Development", "Product sense", "Science vision", "Execution", "Project management", "Roadmap strategy", "Roadmap definition", "Generative AI", "Advertising landscape", "Brand advertising" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "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" : "68c2e420f8b1b0376634c508", "title" : "Principal Product Manager - Devices, Fire TV Devices", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Product Management, alexa and amazon devices", "salary" : { "min" : 145700.0, "max" : 240900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T08:04:13.003", "fingerprint" : "69de137dab4257107f8eb74d4406fb8b51cac4e974b2f6e0a9a4c565e9405c03", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078056/apply", "externalId" : "cea6c18f-540e-47ef-873f-4210742347da", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Define product strategy, Develop product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In this role, you will lead the development and launch of some of Fire TV's best selling devices as well as develop new ones. You will make high judgment decisions, present persuasive cases to executive leadership and have enduring impact on the future of Fire TV. You will work closely with a high-energy team consisting of HW, OS and software engineering, user experience, finance, marketing, customer service, and Amazon leadership, and ship devices to customers globally. You will lead large teams of 50+ team members through high complexity and high ambiguity product development cycles, while building excellent intuition for one-way door decisions. In this role you will also work on hardware systems and platform Software/OS – bringing in your unique perspective into the complex systems that make winning products. You will work with a broad array of technical and non-tech stakeholders – from design to architecture and core technologies all the way through product development and commercialization. You will have visibility at the highest levels of Amazon's leadership team, and work on our most strategic future initiatives. You will innovate on new devices, features and experiences, even as you manage the operational rigor of rolling out high quality devices on time and within budget. Finally your team will ship - to millions of customers at a scale that only Fire TV can enable. This role is a good fit for someone creative, who has strong customer focus and product sense, combined with an established track record in consumer technology products, connected devices, and a real passion for TV and mobile video entertainment. Key job responsibilities • Lead the development of the consumer-focused product strategy and vision for next-generation devices and experiences • Oversee programs in various stages of the lifecycle- from ideation to development to launch/retirement. • Define creative, high quality, long term product roadmaps based on team strategy and vision • Develop detailed business requirements and user stories that are used to create product specifications and architecture for each product and application • Manage prioritization and trade-offs among customer experience, performance and operational support load • Drive product launches in concert with Engineering, Operations Go to Market, PR, and other Product teams • Create buy-in for the product/feature/service vision and strategy with technical and leadership teams • Operate with influence across a variety of cross functional technical, design and commercial teams Basic Qualifications: - 10+ years of product or program management, product marketing, business development or technology experience - 10+ years of blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience as a product manager or owner Preferred Qualifications: - Experience owning technology products 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 $145,700/year in our lowest geographic market up to $240,900/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" : "Principal Product Manager - Devices, Fire TV Devices at Amazon.com Services LLC. Define product strategy. Develop product roadmap", "postedDate" : "2026-06-13T18:48:54.094", "createdAt" : "2026-06-13T18:48:54.094", "lastUpdated" : "2026-06-15T08:04:13.003", "ingestTimestamp" : "2026-06-13T18:48:54.094", "mongoId" : "68c2e420f8b1b0376634c508", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078056/apply", "salaryAnnualMin" : 145700, "salaryAnnualMax" : 240900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "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. Own journey from first trip", "createdAt" : "2026-06-16T00:31:17.240", "lastUpdated" : "2026-06-16T12:02:06.746", "ingestTimestamp" : "2026-06-16T00:31:17.240", "mongoId" : "6a305930f292fd229cf45a3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Behavioral product thinking", "Funnel analysis", "Experimentation", "Car ownership", "Insurance marketplace", "Driving behavior", "Driving safety", "Mobility capabilities" ], "skillCount" : 12, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28fa", "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" : "2026-06-16T10:29:42.147", "fingerprint" : "da9d08a5d439ca7f41efaf7650278d411429d380ce996b0bb2d0424c48d8a303", "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, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Make DriveShield a habit, Own the journey, Improve the core experience, Modernize trip tracking, Modernize driving scores, Modernize points, Modernize safety tips, Modernize progress, Modernize guidance, Build engagement loops, Explore what DriveShield becomes next, Define new safety capabilities, Define new mobility capabilities, Learn fast from users, Learn fast from data, Use analytics, Use research, Use usability studies, Use prototypes, Use A/B tests", "teamCollaboration" : "Design; Engineering; Data; Research; Growth; Business partners", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Car ownership; Insurance marketplace; Driving behavior; Driving safety; Mobility", "domainList" : [ "car-ownership", "insurance-marketplace", "driving-behavior", "driving-safety", "mobility" ], "domainSpecificKnowledge" : [ "Car ownership", "Insurance marketplace", "Driving behavior", "Driving safety", "Mobility" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Drive adoption; Drive engagement; Drive retention; Drive trust", "qualificationsBasic" : "Consumer product experience, Mobile or web experience, Experience in trust-sensitive categories", "qualificationsPreferred" : "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", "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, 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" : "6a305119f292fd229cef9e97", "title" : "Principal Product Manager", "industry" : "Product", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Product Manager in India, adjusted for executive seniority in the SaaS industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T13:01:46.548", "fingerprint" : "0e8613709fdf5c825fe36149cc0163300c79777d7867d8f6cb943f704e9839b3", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/7e4cd8c4-3475-4f82-8be4-b76537b79214/apply", "externalId" : "7e4cd8c4-3475-4f82-8be4-b76537b79214", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Data", "professionalSkills" : [ "Product strategy", "Product execution", "Product development", "Product enhancements", "Go-to-market strategy", "Executive storytelling" ], "hardSkillsList" : [ "Data analysis", "Experimentation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Product vision, Product roadmap, AI leverage", "majorSkillsList" : [ "Product vision", "Product roadmap", "AI leverage" ], "coreResponsibilities" : "Define product vision, Lead product strategy, Lead product roadmap, Identify opportunities to leverage AI, Improve candidate evaluation accuracy, Improve fairness, Improve predictive power, Own product execution end-to-end, Deliver high-quality features, Analyze assessment datasets, Analyze performance datasets, Generate insights, Improve scoring models, Guide product decisions, Design experiments, Run experiments, Validate hypotheses, Improve product effectiveness, Improve user experience, Partner with enterprise customers, Partner with internal stakeholders, Translate feedback into enhancements, Support go-to-market strategy, Support executive storytelling", "teamCollaboration" : "Cross-functional collaboration; Work with engineering teams; Work with design teams; Work with content teams; Work with GTM teams; Work with enterprise customers; Work with internal stakeholders", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "B2B SaaS; Data-informed product development; Technical systems; Enterprise stakeholders; Complex data environments; AI-driven contexts; Assessment data; Performance data; Technical hiring; Assessments", "domainList" : [ "b2b-saas", "data-informed-product-development", "technical-systems", "enterprise-stakeholders", "complex-data-environments", "ai-driven-contexts", "assessment-data", "performance-data", "technical-hiring", "assessments" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Data-informed product development", "Technical systems", "Enterprise stakeholders", "Complex data environments", "AI-driven contexts", "Assessment data", "Performance data", "Technical hiring", "Assessments" ], "communicationSkills" : "Executive-level presentations; Cross-functional leadership", "continuousLearning" : "Experimentation; Learning; Professional growth", "innovationCreativity" : "AI-driven product innovation", "problemSolvingSkills" : "Analytical mindset; Generate insights; Improve scoring models; Guide product decisions; Validate hypotheses", "outcomesObjectives" : "Improve candidate evaluation accuracy; Improve fairness; Improve predictive power; Deliver high-quality features; Improve product effectiveness; Improve user experience", "qualificationsBasic" : "8+ years of product management experience, Experience defining and scaling products, Ability to work with enterprise clients, Analytical mindset with data experience, Translate complex technical concepts", "qualificationsPreferred" : "Prior software development experience is a plus, Experience working in fast-paced environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and lead product vision, strategy, and roadmap for a large-scale technical assessment and interviewing platform. Identify and prioritize opportunities to leverage AI and data to improve candidate evaluation accuracy, fairness, and predictive power. Own product execution end-to-end, working closely with engineering, design, content, and GTM teams to deliver high-quality features. Analyze large-scale assessment and performance datasets to generate insights, improve scoring models, and guide product decisions. Design and run experiments to validate hypotheses and continuously improve product effectiveness and user experience. Partner with enterprise customers and internal stakeholders to translate feedback into actionable product enhancements. Support go-to-market strategy and executive storytelling for new product capabilities and releases. Requirements: This role requires a highly experienced product leader with a strong background in B2B SaaS and data-informed product development. The ideal candidate is comfortable working with technical systems, enterprise stakeholders, and complex data environments, and can operate confidently in fast-evolving AI-driven contexts. 8+ years of product management experience across B2B and/or B2C SaaS products. Proven experience defining and scaling products with measurable business impact. Strong ability to work with enterprise clients, including discovery calls, QBRs, and stakeholder alignment. Experience working with technical or engineering-heavy products; prior software development experience is a strong plus. Strong analytical mindset with experience leveraging product and assessment data for decision-making. Excellent communication skills, including executive-level presentations and cross-functional leadership. Ability to translate complex technical concepts into clear product direction and business value. Experience working in fast-paced environments with high ownership and ambiguity. Benefits: Remote-friendly work model with collaboration across global teams Opportunity to work on a category-defining product in technical hiring and assessments High-impact role with direct influence on product strategy and company direction Close collaboration with experienced leadership and world-class engineering teams Exposure to large-scale datasets and AI-driven product innovation Strong focus on experimentation, learning, and professional growth. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Principal Product Manager. Skills: Product vision, Product roadmap, AI leverage. Define product vision. Lead product strategy", "postedDate" : "2026-06-15T11:00:46.316", "createdAt" : "2026-06-15T11:00:46.316", "lastUpdated" : "2026-06-16T13:01:46.548", "ingestTimestamp" : "2026-06-16T03:22:47.852", "mongoId" : "6a305119f292fd229cef9e97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Experimentation", "Product vision", "Product roadmap", "AI leverage", "Product strategy", "Product execution", "Product development", "Product enhancements", "Go-to-market strategy", "Executive storytelling", "Roadmap", "B2B SaaS", "Data-informed product development", "Technical systems", "Enterprise stakeholders", "Complex data environments", "AI-driven contexts", "Assessment data", "Performance data", "Technical hiring", "Assessments" ], "skillCount" : 22, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "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" : "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" : "6a3065aff292fd229cfaa802", "title" : "Sales Engineering Enablement, Principal", "company" : "Snowflake", "industry" : "Sales", "salary" : { "min" : 188000.0, "max" : 246700.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US-CA-Menlo Park", "locations" : [ "US-CA-Menlo Park" ], "certifications" : [ "SnowPro Core", "SnowPro Advanced" ], "timestamp" : "2026-06-16T10:05:27.975", "fingerprint" : "1277a13dfa41961978352f66fa124f89a52c499d0f5ad01671be278f45df4bc4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/snowflake/2c5d5816-8a14-49b8-b6d7-6ec66b3595b0/application", "externalId" : "2c5d5816-8a14-49b8-b6d7-6ec66b3595b0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Menlo Park", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4519671,-122.1779920" } ], "locationText" : "Menlo Park, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "OLAP, OLTP, SQL, Python, Snowflake", "professionalSkills" : [ "Business acumen", "Technical acumen", "Sales acumen", "Strategic thinking", "Resourcefulness", "Agility", "Decision-making", "Commitment to excellence" ], "hardSkillsList" : [ "Enablement program design", "Enablement program building", "Enablement program delivery" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Enablement program design", "level" : "intermediate" }, { "name" : "Enablement program building", "level" : "intermediate" }, { "name" : "Enablement program delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Solution Engineering, Enablement, Data", "majorSkillsList" : [ "Solution Engineering", "Enablement", "Data" ], "coreResponsibilities" : "Act as strategic enablement partner, Diagnose skill gaps, Prescribe targeted interventions, Measure capability change, Curate enablement content, Quality-gate enablement content, Validate AI outputs, Maintain source of truth, Feed quality signals, Diagnose field needs, Classify gaps with data, Prioritize gaps with data, Design activation experiences, Pick right modality, Measure behavior change, Act as connector, Act as translator, Build targeted technical content, Measure field activation, Align to release cadence, Establish with SE leadership, Scale local enablement, Capture what's working, Package for field, Shape onboarding program, Refine onboarding program", "teamCollaboration" : "Key member of leadership team; Cross-functional partners; Global SE Onboarding team", "domainKnowledge" : "Enterprise software; Solution engineering; Data space; Skills database", "domainList" : [ "enterprise-software", "solution-engineering", "data-space", "skills-database" ], "domainSpecificKnowledge" : [ "Enterprise software", "Solution engineering", "Data space", "Skills database" ], "communicationSkills" : "Presentation skills", "qualificationsBasic" : "10 years of related experience, Bachelor’s degree, Deep technical expertise in skills database OLAP/OLTP, Deep technical expertise in SQL, Deep technical expertise in Python, Experienced in designing enablement programs, Experienced in building enablement programs, Experienced in delivering enablement programs, Ability to lead through influence, Ability to establish sponsorship, Ability to secure support from stakeholders, Ability to manage competing priorities, Ability to meet deadlines, Ability to produce quality deliverables, Highly organized, Excellent communication skills, Excellent presentation skills, Experience working in fast-changing environment", "qualificationsPreferred" : "Snowflake experience, SnowPro Core certification, SnowPro Advanced certification, Data science experience, Spark experience", "rawDescription" : "At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: - Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed - Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM - Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data - Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just completion. This requires technical building skills. - Act as the connector and translator between Product, Field, Leadership, and the Learner; managing intake, building targeted technical content, measuring whether the field activated on the learning, and aligning to release cadence. - Establish yourself with SE leadership as a key member of their extended leadership team - Scale local enablement to org-wide capability, capturing what's working and packaging it for the rest of the field - Collaborate with the Global SE Onboarding team to shape and continuously refine the everboarding program based on the segment's needs REQUIRED SKILLS: - A minimum of 10 years of related experience with a focus on enterprise software, solution engineering, and enablement in the data space - Bachelor’s degree - Exceptional business, technical, and sales acumen - Should have deep technical expertise in skills database OLAP/OLTP, SQL, and/or Python - Snowflake experience, SnowPro Core, and/or SnowPro Advanced is a plus - Data science or Spark experience is a plus - Experienced in designing, building, and delivering enablement programs - Ability to lead through influence - Ability to establish sponsorship and secure support from a diverse group of internal stakeholders and cross-functional partners to successfully deliver programs - Ability to manage competing priorities across multiple projects, while meeting deadlines and producing quality deliverables - Highly organized with excellent communication skills (including presentation skills) - Experience working in a fast-changing environment that requires strategic thinking, resourcefulness, agility, results-oriented decision-making, and commitment to excellence Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com", "summaryDescription" : "Sales Engineering Enablement, Principal at Snowflake. Skills: Solution Engineering, Enablement, Data. Act as strategic enablement partner. 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To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: - Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed - Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM - Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data - Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just completion. This requires technical building skills. - Act as the connector and translator between Product, Field, Leadership, and the Learner; managing intake, building targeted technical content, measuring whether the field activated on the learning, and aligning to release cadence. - Establish yourself with SE leadership as a key member of their extended leadership team - Scale local enablement to org-wide capability, capturing what's working and packaging it for the rest of the field - Collaborate with the Global SE Onboarding team to shape and continuously refine the everboarding program based on the segment's needs REQUIRED SKILLS: - A minimum of 10 years of related experience with a focus on enterprise software, solution engineering, and enablement in the data space - Bachelor’s degree - Exceptional business, technical, and sales acumen - Should have deep technical expertise in skills database OLAP/OLTP, SQL, and/or Python - Snowflake experience, SnowPro Core, and/or SnowPro Advanced is a plus - Data science or Spark experience is a plus - Experienced in designing, building, and delivering enablement programs - Ability to lead through influence - Ability to establish sponsorship and secure support from a diverse group of internal stakeholders and cross-functional partners to successfully deliver programs - Ability to manage competing priorities across multiple projects, while meeting deadlines and producing quality deliverables - Highly organized with excellent communication skills (including presentation skills) - Experience working in a fast-changing environment that requires strategic thinking, resourcefulness, agility, results-oriented decision-making, and commitment to excellence Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. 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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. A day in the life As a Principal Product Manager (Tech) for the team, you will define the product strategy for the business, drive appropriate technology choices, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision. You will play a pivotal role in driving our team's engineering and operational choices and processes as well as driving alignment with partner business, engineering, and science teams across Amazon on high profile projects that create new experiences for shoppers and advertisers. You will be instrumental in initiating greenfield projects and driving their development through all stages from inception to deployment. 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: - 2+ years of end to end product delivery experience - 8+ years of technical product or program management experience - Bachelor's degree - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience leading engineering discussions around technology decisions and strategy related to a product - Experience technical product management Preferred Qualifications: - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement - Experience with using Generative AI tools to develop product ideas, conduct product research and competitive analysis, and to author documents. - AdTech experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/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" : "Principal Product Manager - Tech, Sponsored Products at Amazon.com Services LLC. Skills: Product strategy, Generative AI, Roadmap definition. Define product strategy. Drive technology choices", "postedDate" : "2026-06-13T06:46:01.754", "createdAt" : "2026-06-13T06:46:01.754", "lastUpdated" : "2026-06-15T03:42:50.733", "ingestTimestamp" : "2026-06-13T06:46:01.754", "mongoId" : "68e6b1d070f0b99d58d664d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102506/apply", "salaryAnnualMin" : 161900, "salaryAnnualMax" : 279900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Product delivery", "Roadmap definition", "Engineering discussions", "Product strategy", "Generative AI", "Roadmap strategy", "Technology choices", "Business analysis", "Process improvement", "Sponsored Products", "Sponsored Brands", "Amazon Ads", "E-commerce", "Advertising lifecycle", "Video experiences" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a305a6af292fd229cf50547", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and company size." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T11:05:30.121", "fingerprint" : "8e027fce54abc926a9eebea78a61fc140b324b454e895a1c094d41cc76a8efd9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008494&gh_jid=8008494", "externalId" : "8008494", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Python, SQL, Spark, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, ML Studio, S3, Glue, Athena, Synapse", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Machine learning", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification models", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering, AI", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering", "AI" ], "coreResponsibilities" : "Build and deploy machine learning models, Develop and maintain data pipelines, Design and implement data solutions, Conduct data analysis, Perform statistical modeling, Develop ML models, Deploy ML models, Monitor ML models, Collaborate with engineering teams, Collaborate with product teams, Drive data science initiatives, Contribute to data strategy, Build agent models, Develop AI agents", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "toolProficiency" : [ "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €80.400—€127.200 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic. Skills: Data science, Machine learning, Data engineering, AI. Build and deploy machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-15T23:22:17.099", "createdAt" : "2026-06-15T23:22:17.099", "lastUpdated" : "2026-06-16T11:05:30.121", "ingestTimestamp" : "2026-06-15T23:22:17.099", "mongoId" : "6a305a6af292fd229cf50547", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development", "Data science", "Machine learning", "Data engineering", "AI", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference", "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68e6b1d870f0b99d58d66a7d", "title" : "Principal Applied Scientist, Sponsored Products and Brands", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 179000.0, "max" : 309400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Palo Alto, California, USA", "locations" : [ "Palo Alto, California, USA" ], "timestamp" : "2026-06-15T02:43:22.161", "fingerprint" : "8ec624e328332c112fe76bd73d0f93905c4dc4d17289525424262bda6dce27e3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103340/apply", "externalId" : "b6d82723-d7c7-4963-b783-09fa12bb7be8", "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", "technicalSkills" : "GenAI, Machine learning, Generative AI, LLM", "professionalSkills" : [ "ML strategy", "GenAI strategy", "Recommender systems" ], "hardSkillsList" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML, GenAI, Ranking systems, Retrieval systems", "majorSkillsList" : [ "ML", "GenAI", "Ranking systems", "Retrieval systems" ], "coreResponsibilities" : "Define technical and scientific strategies, Influence scientific and engineering methods, Invent new scientific techniques and paradigms, Grow other scientists in the organization, Liaise with internal Amazon partners, Bring state-of-the-art models to production, Stay abreast of the latest developments in AI/ML/GenAI, Identify opportunities to improve efficiency and productivity, Define a long-term science vision, Translate vision into actionable plans, Build complex, real-time systems using GenAI, Develop machine learning platform strategy, Develop a GenAI strategy for recommender systems", "teamCollaboration" : "Multiple teams of scientists and engineers; Cross-functional projects", "domainKnowledge" : "Ranking systems; Retrieval systems; Recommender systems; Advertising landscape; Generative AI technologies", "domainList" : [ "ranking-systems", "retrieval-systems", "recommender-systems", "advertising-landscape", "generative-ai-technologies" ], "domainSpecificKnowledge" : [ "Ranking systems", "Retrieval systems", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "communicationSkills" : "Verbal communication; Written communication", "innovationCreativity" : "Invent new product experiences; Innovates on behalf of customers; Invent new scientific techniques and paradigms", "problemSolvingSkills" : "Solve complex challenges", "qualificationsBasic" : "PhD or equivalent in Computer science/Math or related field, Experience in building complex, real-time systems using GenAI, Computer Science fundamentals in data structures, algorithm design and complexity analysis, Ability to develop machine learning platform strategy in recommender systems, Ability to develop a GenAI strategy for recommender systems", "qualificationsPreferred" : "10+ years of relevant, broad research experience after PhD degree, Deep expertise and knowledge of Generative AI methods, Proficiency in programming for algorithm and code reviews, Core competency in mathematics and statistics, Track record of successful projects in algorithm design and product development, Publications at top-tier peer-reviewed conferences or journals, Experience with mentorship and/or management of senior scientists and engineers, Effective verbal and written communication skills with non-technical and technical audiences, Experience working with real-world data sets and building scalable models from big data, Demonstrated track record of project delivery for large, cross-functional projects, Ability to take a project from requirements gathering and design to actual product launch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers. Key job responsibilities - You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. - Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. - You invent new scientific techniques and paradigms to address our customers' needs and business problems. - You are a role model and help grow other scientists in the organization. - You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls. - You have 10+ years of research experience after a PhD degree. About the team 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. Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. 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 equivalent in Computer science/Math or related field.  - Experience in building complex, real-time systems using GenAI, with successful delivery to customers. - Computer Science fundamentals in data structures, algorithm design and complexity analysis.  - Ability to develop machine learning platform strategy in the domain of recommender systems. - Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications: 10+ years of relevant, broad research experience after PhD degree or equivalent.  Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews.  Strong core competency in mathematics and statistics.  Track record of successful projects in algorithm design and product development.  Publications at top-tier peer-reviewed conferences or journals.  Experience with mentorship and/or management of senior scientists and engineers.  Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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" : "Principal Applied Scientist, Sponsored Products and Brands at Amazon.com Services LLC. Skills: ML, GenAI, Ranking systems, Retrieval systems. Define technical and scientific strategies. Influence scientific and engineering methods", "postedDate" : "2026-06-13T06:10:32.841", "createdAt" : "2026-06-13T06:10:32.841", "lastUpdated" : "2026-06-15T02:43:22.161", "ingestTimestamp" : "2026-06-13T06:10:32.841", "mongoId" : "68e6b1d870f0b99d58d66a7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103340/apply", "salaryAnnualMin" : 179000, "salaryAnnualMax" : 309400, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Complexity analysis", "Mathematics", "Statistics", "Leadership", "Mentoring", "ML", "GenAI", "Ranking systems", "Retrieval systems", "ML strategy", "GenAI strategy", "Recommender systems", "Advertising landscape", "Generative AI technologies" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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" : "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" : "6a30575ff292fd229cf38c58", "title" : "Sr. Principal, Product Management", "company" : "Coupang", "industry" : "E-Commerce", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Sr. Principal, Product Management in E-Commerce in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-16T10:42:01.209", "fingerprint" : "3a35ee25a18862e9c8ea2f6436c6cd5b63e4b62b1a219cfaffe66e60d430917c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/coupanginternal/jobs/7999715?gh_jid=7999715", "externalId" : "7999715", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "experienceMinYears" : 12, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Roadmap planning" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "  Please complete the attached Internal Transfer Request Form and submit.   Please make sure to apply with your Coupang e-mail address.        Senior Principal Product Management - Internal Payroll Systems Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. Coupang is one of the largest and fastest growing commerce platforms on the planet. We are a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley. Role Overview Coupang is seeking a strategic, results-driven Senior Principal Product Management to lead our internal payroll product portfolios. In this critical leadership role, you will define the vision, strategy, and execution of the platforms our workforce and finance teams rely on globally. You will bridge the gap between business operations and engineering, driving transformation to build highly scalable, secure, and automated internal systems. This role focuses on Workforce (Payroll) Systems, and internal operational platforms, driving efficiency through automation, scalable architecture, and strong product thinking. Key Responsibilities Product Roadmap: Define and champion a long-term product vision and roadmap for internal payroll processing, taxation, core accounting, and financial planning systems. Transformation: Identify opportunities to automate, standardize, and simplify complex payroll workflows to reduce manual overhead and improve operational efficiency. Product Lifecycle Management: Oversee the end-to-end execution of product development, from ideation and requirements definition to testing, launch, and continuous optimization. Data-Driven Culture: Establish KPIs and metrics for internal product success, measuring adoption, system reliability, processing accuracy, and user satisfaction. Qualifications 12+ years in Product Management, with at least 5+ years specializing in enterprise financial systems, HRIS, or payroll platforms. Strong communication and influence skills across technical and non-technical stakeholders; able to align teams around clear priorities. Experience building products that interface with ERPs (e.g., SAP, Oracle) or modern fintech/HR SaaS stack. Experience defining product roadmaps, resourcing needs to achieve goals and effectively advocating for those Demonstrated strength in data-driven decision making, experimentation, and KPI ownership in fast-paced environments. Strong communication and influence skills across technical and non-technical stakeholders; able to align teams around clear priorities. Demonstrated ability to manage complex trade-offs among time, cost, reliability, and customer experience. Strong software engineering and technology understanding to influence engineering and business stake holders on product solutioning and product roadmap. Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work. Details to consider Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Equal Opportunities for All Coupang is an equal opportunity employer and is committed to equal opportunity regardless of color, ancestry, religion, sex, nation origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/   Please complete the attached Internal Transfer Request Form and submit.   Please make sure to apply with your Coupang e-mail address.    ", "summaryDescription" : "Sr. Principal, Product Management at Coupang. Skills: Product strategy, Roadmap, User stories. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T23:27:42.248", "createdAt" : "2026-06-15T23:27:42.248", "lastUpdated" : "2026-06-16T10:42:01.209", "ingestTimestamp" : "2026-06-15T23:27:42.248", "mongoId" : "6a30575ff292fd229cf38c58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Roadmap planning" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e420f8b1b0376634c4c4", "title" : "Principal Product Manager - Tech, Devices Sustainability", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, alexa and amazon devices", "salary" : { "min" : 161900.0, "max" : 279900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:16:08.706", "fingerprint" : "ab5131817a7524bdf8069e2452c6d776d1056d79ce63af4781b45e40af8b140a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078927/apply", "externalId" : "c986d424-cc63-44aa-8103-57b8b0d9fb9e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Cloud services, Sensors, Smart home devices, Alexa", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Financial modeling", "Business case creation" ], "hardSkillsList" : [ "Energy domain expertise", "Technical knowledge", "Product requirements definition", "Pricing", "Product cost analysis" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Energy domain expertise", "level" : "intermediate" }, { "name" : "Technical knowledge", "level" : "intermediate" }, { "name" : "Product requirements definition", "level" : "intermediate" }, { "name" : "Pricing", "level" : "intermediate" }, { "name" : "Product cost analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Product management, Sustainability, Zero carbon future, Customer experience", "majorSkillsList" : [ "Product management", "Sustainability", "Zero carbon future", "Customer experience" ], "coreResponsibilities" : "Invent products for zero carbon future, Deliver products for zero carbon future, Work backwards from customer, Define customer problems, Define desired customer experience, Define product vision, Define product tenets, Define product strategy, Define product requirements, Communicate product vision, Drive product concepts from idea to launch, Deliver product solutions independently, Deep dive into architectures, Influence technical trade-offs, Design wireframes, Build financial models, Inspire team with product vision, Work cross-functionally to bring product to life, Understand customer needs, Articulate customer needs, Conduct customer research, Prioritize requirements, Advocate for product, Provide voice of customer, Manage product life cycle, Translate customer experiences into requirements, Manage prioritization, Manage trade-offs, Ensure delivery of customer experience, Generate buy-in for product vision, Evaluate business opportunities, Define business models, Redefine business models, Apply emerging technologies, Create new technologies, Create business case, Determine product pricing, Determine product cost, Determine go to market strategy, Be domain expert, Track trends, Track new technologies, Track partnership opportunities", "teamCollaboration" : "Cross-functional stakeholders; Partner teams; Engineering; Scientists", "projectManagementSkills" : [ "Roadmap strategy", "Product delivery" ], "domainKnowledge" : "Energy domain; Zero carbon future; Climate change; GenAI; Material science", "domainList" : [ "energy-domain", "zero-carbon-future", "climate-change", "genai", "material-science" ], "domainSpecificKnowledge" : [ "Energy domain", "Zero carbon future", "Climate change", "GenAI", "Material science" ], "communicationSkills" : "Verbal communication; Written communication; Executive presentations", "innovationCreativity" : "Innovative product concepts; Highly innovative", "problemSolvingSkills" : "Technical trade-offs; Problem solving", "outcomesObjectives" : "Deliver products with meaningful impact", "qualificationsBasic" : "7+ years product management, Bachelor's degree, Experience feature delivery, Experience owning roadmap strategy, Experience end to end product delivery, Experience contributing engineering discussions", "qualificationsPreferred" : "Experience leading product concept to release, Strategic vision development, Excellent verbal communication skills, Excellent written communication skills, Entrepreneurial spirit, Deeply technical, Highly innovative, Build pioneering solutions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon has co-founded and signed The Climate Pledge, a commitment to reach net zero carbon by 2040. In alignment with this bold corporate goal, the Amazon Devices & Services organization is looking for a Principal Product Manager to invent and deliver products for a zero carbon future. As a team, we leverage GenAI, sensors, smart home devices, cloud services, material science, and Alexa to build products that have a meaningful impact for customers and the climate. This position requires demonstrated experience successfully building and launching loveable customer facing products and services, energy domain expertise, in-depth technical knowledge of complex software and machine learning solutions, and demonstrated experience earning trust with cross-functional stakeholders to deliver on goals. You will work backwards from the customer to define the problem(s) we are trying to solve along with the desired customer experience, vision, tenets, product strategy, and requirements. You will communicate a compelling product vision and drive innovative product concepts from idea to launch. You thrive operating in an ambiguous environment and can deliver the right product solutions independently, with limited guidance. You are able to operate at multiple levels, and are equally comfortable deep diving into complex architectures and technical solutions to influence technical trade-offs with engineering and scientists as you are designing wireframes and building financial models. The ideal candidate will have experience leading a product from concept to release, proven ability to develop strategic vision based on the customer, and excellent verbal and written communication skills with senior leaders across all stakeholders. If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative, and long for the opportunity to build pioneering solutions to highly impactful challenging problems, we look forward to talking to you. Key job responsibilities - Inspire the team with the product vision, and work cross-functionally to bring the product to life - Understand and articulate customer needs, conduct on-going customer research (in partnership with research team), leverage internal knowledge and expertise, and prioritize requirements - Be a passionate advocate for the customer; provide the voice of the customer - Manage the entire product life cycle from inception to launch: translate end-to-end customer experiences into clearly defined product requirements and manage prioritization and trade-offs to ensure delivery of a great customer experience - Generate buy-in for the product vision with leadership and partner teams - Evaluate business opportunities, defining and re-defining business models and applying, or creating, new and emerging technologies - Create the business case. Determine the product pricing, product cost and go to market strategy. - Be the domain expert for your product line tracking trends, new technologies, and opportunities to partner Basic Qualifications: - 7+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product Preferred Qualifications: - Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams - Experience leading engineering discussions around technology decisions and strategy related to a product - Experience building products that utilize GenAI or ML - Experience building products within or related to Alexa 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 $161,900/year in our lowest geographic market up to $279,900/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" : "Principal Product Manager - Tech, Devices Sustainability at Amazon.com Services LLC. Skills: Product management, Sustainability, Zero carbon future, Customer experience. Invent products for zero carbon future. 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"summaryDescription" : "PRINCIPAL PRODUCT DESIGNER", "createdAt" : "2026-06-15T22:21:38.428", "lastUpdated" : "2026-06-16T08:52:55.479", "ingestTimestamp" : "2026-06-15T22:21:38.428", "mongoId" : "6a305cc7f292fd229cf639d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Lead", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "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" : "69fda4e54c40e2acd1b99a1d", "title" : "Principal Product Manager, Personal Devices", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, alexa and amazon devices", "salary" : { "min" : 90000.0, "max" : 279000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, USA", "locations" : [ "Sunnyvale, California, USA" ], "timestamp" : "2026-06-15T02:16:55.825", "fingerprint" : "a65e5397b865f08e602c4147f8b00e6705eb4125b90cff21b453eb144644dc15", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412751/apply", "externalId" : "7ba0a642-f7df-472a-a648-4a165db04d65", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Hardware acceleration", "professionalSkills" : [ "Product strategy", "Roadmap planning", "User stories", "Cross-functional collaboration", "Device architectures", "Component strategies", "Customer experiences", "Product definition", "Business case rigor", "Product craft", "Technical depth", "Design excellence", "Operational discipline" ], "hardSkillsList" : [ "Product roadmap", "Technology scouting", "Component evaluation", "Trade-off decisions", "Customer insight analysis", "Competitive analysis", "Technology trend analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Product roadmap", "level" : "intermediate" }, { "name" : "Technology scouting", "level" : "intermediate" }, { "name" : "Component evaluation", "level" : "intermediate" }, { "name" : "Trade-off decisions", "level" : "intermediate" }, { "name" : "Customer insight analysis", "level" : "intermediate" }, { "name" : "Competitive analysis", "level" : "intermediate" }, { "name" : "Technology trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product strategy, Hardware product creation, Customer experience", "majorSkillsList" : [ "Product strategy", "Hardware product creation", "Customer experience" ], "coreResponsibilities" : "Own end-to-end product roadmap, Make disciplined trade-offs, Drive technology scouting, Evaluate emerging components, Make high-conviction bets, Lead cross-functional execution, Ensure tight integration, Navigate technical ambiguity, Structure complex trade-off decisions, Champion customer experience, Influence senior leadership, Raise bar on hardware product craft, Set standards for attention to detail", "teamCollaboration" : "Cross-functional execution; Hardware engineering teams; Industrial design teams; Operations teams; Supply chain teams; Software teams", "projectManagementSkills" : [ "Roadmap strategy", "Feature delivery", "Tradeoffs" ], "domainKnowledge" : "Personal devices; AI-native world; Mobile devices; On-device AI/ML; Sensor technologies; Hardware-software co-design; AI-native device experiences", "domainList" : [ "personal-devices", "ai-native-world", "mobile-devices", "on-device-ai-ml", "sensor-technologies", "hardware-software-co-design", "ai-native-device-experiences" ], "domainSpecificKnowledge" : [ "Personal devices", "AI-native world", "Mobile devices", "On-device AI/ML", "Sensor technologies", "Hardware-software co-design", "AI-native device experiences" ], "communicationSkills" : "Product definition docs", "innovationCreativity" : "New-to-world device creation; Invent delightful devices", "problemSolvingSkills" : "Analytical rigor; Sound product judgment", "outcomesObjectives" : "Ship transformative technology; Deliver useful features; Deliver delightful features; Ship devices at scale; Delight customers", "qualificationsBasic" : "Bachelor's degree, Own/drive roadmap strategy, Feature delivery experience, Technical product management experience", "qualificationsPreferred" : "Advanced degree (MS/MBA), Deep expertise in mobile device architectures, On-device AI/ML hardware acceleration expertise, Next-generation sensor technologies expertise, Define new hardware product categories, Zero-to-one product experience, Experience with operations teams, Global supply chain management experience, Manufacturing partnerships experience, Hardware-software co-design familiarity, AI-native device experiences familiarity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The next generation of personal devices will not be defined by incremental spec improvements. They will be defined by bold hardware bets that unlock entirely new customer experiences. Sensors that perceive context. Form factors that defy convention. Silicon and system architectures purpose-built for an AI-native world. We are pushing these boundaries, and we need a product leader who can see around corners and ship what’s next. As Principal Product Manager – Technical on the Personal Mobile Devices team, you will lead the vision, strategy, and end-to-end execution of one or more next-generation hardware products, defining device architectures, component strategies, and ID directions that will put transformative technology into the hands of millions of customers. This is not stewardship of an already defined roadmap. This is new-to-world device creation where every decision, every choice has to be rooted in delivering features that customers find useful, delightful and are willing to pay for. This is part vision, part curation and 100% responsibility for execution, shipping devices at scale and delighting our customers. Key job responsibilities ● Own the end-to-end product roadmap from early concept through mass production, making disciplined trade-offs across compute, AI, graphics, performance, cost, power, and time-to-market. ● Drive the technology scouting and selection process Evaluate emerging components (chipsets, displays, sensors, batteries, connectivity modules) and make high-conviction bets on the technologies that will define the next product generation. ● Lead cross-functional execution across hardware engineering, industrial design, operations, supply chain, and software teams, ensuring tight integration from silicon to system to experience. ● Navigate deep technical and business ambiguity — structuring complex trade-off decisions (e.g., BOM cost vs. capability vs. schedule vs. customer hero features) with analytical rigor and sound product judgment. ● Champion the customer experience throughout the hardware development process, ensuring that every component choice, material selection, and design decision ladders up to a cohesive, delightful product that customers reach for every day. ● Influence senior leadership with compelling product definition docs grounded in customer insight, competitive analysis, technology trends, and business-case rigor. ● Raise the bar on hardware product craft across the organization, setting standards for meticulous attention to detail, technical depth, design excellence, and operational discipline. About the team Join a fast-paced, high energy, collaborative team working to define the future of Alexa powered Personal Devices! We can promise that you will work hard, do exciting work, and have the opportunity to invent and ship delightful devices and experiences for our customers, and in the process learn and grow. Basic Qualifications: - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience technical product management Preferred Qualifications: - ● Advanced degree (MS/MBA) in a relevant discipline. - ● Deep expertise in mobile device architectures, on-device AI/ML hardware acceleration, and next-generation sensor technologies. - ● Experience defining new hardware product categories or form factors (zero-to-one). - ● Track record of working with operations teams who manage global supply chain and manufacturing partnerships. - ● Familiarity with hardware-software co-design, particularly for AI-native device experiences. 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 - 206,900.00 - 279,900.00 USD annually", "summaryDescription" : "Principal Product Manager, Personal Devices at Amazon.com Services LLC. Skills: Product strategy, Hardware product creation, Customer experience. Own end-to-end product roadmap. Make disciplined trade-offs", "postedDate" : "2026-06-13T06:38:38.274", "createdAt" : "2026-06-13T06:38:38.274", "lastUpdated" : "2026-06-15T02:16:55.825", "ingestTimestamp" : "2026-06-13T06:38:38.274", "mongoId" : "69fda4e54c40e2acd1b99a1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412751/apply", "salaryAnnualMin" : 90000, "salaryAnnualMax" : 279000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Product roadmap", "Technology scouting", "Component evaluation", "Trade-off decisions", "Customer insight analysis", "Competitive analysis", "Technology trend analysis", "Leadership", "Product strategy", "Hardware product creation", "Customer experience", "Roadmap planning", "User stories", "Cross-functional collaboration", "Device architectures", "Component strategies", "Customer experiences", "Product definition", "Business case rigor", "Product craft", "Technical depth", "Design excellence", "Operational discipline", "Roadmap strategy", "Feature delivery", "Tradeoffs", "Personal devices", "AI-native world", "Mobile devices", "On-device AI/ML", "Sensor technologies", "Hardware-software co-design", "AI-native device experiences" ], "skillCount" : 33, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "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" : "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" : "6a305a6af292fd229cf5054e", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T08:10:42.353", "fingerprint" : "e40db0762c43f936f11de5b8d1eb6f4b99a6c75a4a4443d9c56580ffb77bbe8e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008502&gh_jid=8008502", "externalId" : "8008502", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:26:19.410", "createdAt" : "2026-06-15T23:26:19.410", "lastUpdated" : "2026-06-16T08:10:42.353", "ingestTimestamp" : "2026-06-15T23:26:19.410", "mongoId" : "6a305a6af292fd229cf5054e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054a", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:36:20.025", "fingerprint" : "42b69b81ccf5dedf71320a5bc295c55ce32b7b0ec8e693c0f0fd92c726510c75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008503&gh_jid=8008503", "externalId" : "8008503", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:25:21.410", "createdAt" : "2026-06-15T23:25:21.410", "lastUpdated" : "2026-06-16T07:36:20.025", "ingestTimestamp" : "2026-06-15T23:25:21.410", "mongoId" : "6a305a6af292fd229cf5054a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054c", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:17:32.597", "fingerprint" : "83fb6be16f038229467f7084b3e657227affb388d25a5b5e6bd0376be1f2d78f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008504&gh_jid=8008504", "externalId" : "8008504", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:24:36.526", "createdAt" : "2026-06-15T23:24:36.526", "lastUpdated" : "2026-06-16T07:17:32.597", "ingestTimestamp" : "2026-06-15T23:24:36.526", "mongoId" : "6a305a6af292fd229cf5054c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054b", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T10:08:58.213", "fingerprint" : "6c178ddd639013f96ee2ba83d5834512f7afcf12c54c3c726385d95d5fe35e21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008495&gh_jid=8008495", "externalId" : "8008495", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €102.700—€162.500 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:23:07.738", "createdAt" : "2026-06-15T23:23:07.738", "lastUpdated" : "2026-06-16T10:08:58.213", "ingestTimestamp" : "2026-06-15T23:23:07.738", "mongoId" : "6a305a6af292fd229cf5054b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a869bc74574cbbb4f78", "title" : "Product Lifecycle Electrical Engineer, Data Center Electrical Products", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 116800.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T02:40:25.324", "fingerprint" : "33b32840194e7b93fe9bb89432e946644a427bdd3dac8d672cf8980ef7dd977b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3195096/apply", "externalId" : "fad8f479-ed27-492f-b994-257180812459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Herndon, Virginia, United States; Austin, Texas, United States; Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Electrical Engineering, Electronics", "professionalSkills" : [ "Product design", "Electrical infrastructure", "Root cause analysis", "Product lifecycle management" ], "hardSkillsList" : [ "Electrical equipment specifications", "Manufacturing quality", "Electronics design", "Instrumentation control schematics", "Component integration" ], "hardSkills" : [ { "name" : "Electrical equipment specifications", "level" : "intermediate" }, { "name" : "Manufacturing quality", "level" : "intermediate" }, { "name" : "Electronics design", "level" : "intermediate" }, { "name" : "Instrumentation control schematics", "level" : "intermediate" }, { "name" : "Component integration", "level" : "intermediate" } ], "majorSkills" : "Electrical product design, Data center electrical, Product lifecycle", "majorSkillsList" : [ "Electrical product design", "Data center electrical", "Product lifecycle" ], "coreResponsibilities" : "Provide electrical infrastructure support, Collaborate with product development team, Gain deep understanding of products, Have engineering ownership of product, Be a global engineering resource, Review equipment submittals, Update equipment submittals, Approve equipment submittals, Work with global suppliers, Work with manufacturers, Build trust with stakeholders, Work on concurrent projects, Understand complex systems, Explain complex systems, Provide support to Field Engineering, Collaborate with quality team, Support maintenance, Support troubleshooting, Review operating procedures, Listen to customer voice, Understand product improvements, Increase product reliability, Increase product availability, Design product improvements, Oversee root cause analysis, Contribute to global knowledge, Drive continuous improvement", "teamCollaboration" : "Global engineering team; Cross-functional teams; Global electrical equipment suppliers; Global manufacturers; Product development team; Field Engineering; Quality team", "projectManagementSkills" : [ "Concurrent projects" ], "domainKnowledge" : "Electrical infrastructure; Data center operations; Electrical equipment; Electronics; Electric code; Data center designs; Data center architectures", "domainList" : [ "electrical-infrastructure", "data-center-operations", "electrical-equipment", "electronics", "electric-code", "data-center-designs", "data-center-architectures" ], "domainSpecificKnowledge" : [ "Electrical infrastructure", "Data center operations", "Electrical equipment", "Electronics", "Electric code", "Data center designs", "Data center architectures" ], "communicationSkills" : "Explain complex systems", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "Intermittent travel, 30% travel, Domestic travel, International travel", "outcomesObjectives" : "Improve product reliability; Improve product availability; Drive continuous improvement", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 5+ years developing electrical products, 5+ years with systems or components, Experience launching products into production", "qualificationsPreferred" : "Ability to design for manufacturability, Create assembly specifications, Work with contract manufacturers, Interpret electric code NEC, Interpret NFPA, Interpret UL891, Interpret UL508, Interpret ANSI C37, Interpret IEC 62271, Interpret IEC61439, Experience with instrumentation control schematics, Experience with integration of electronics components, Knowledge of data center designs, Knowledge of data center architectures, Following industry design trends", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is seeking an electrical engineer to be part of a global engineering team responsible for ownership and continuous improvement related to electrical infrastructure products within our rapidly expanding data center footprint. This position can be based out of Herndon VA, Austin, TX or Columbus, OH. We are looking for engineers with hands on design, manufacturing and installation experience of electrical products. If you have experience leading product design of electrical products, have an understanding of electronics, and know how products should be manufactured to ensure quality you may be a good fit. You should be capable of understanding detailed electrical equipment specifications and evaluating the merit and risks of design changes. As a Global AWS Product Lifecycle Engineer, you will provide electrical infrastructure support to AWS data centers. You will collaborate with the product development team to gain deep understanding of all facets of each product as they are being developed and tested, and then have engineering ownership of the product through its operational life. You will be a global ‘go-to’ engineering resource for electrical AWS products deployed in data centers. Amazon has a global presence. Intermittent travel will be necessary and should be expected to be around 30%. While most travel will be domestic, some international travel may be necessary. Key job responsibilities • Review, update, and approve equipment submittals • Work with global electrical equipment suppliers and manufacturers • Build trust and relationships with different stakeholders (e.g. reliability, operations, design, compliance) • Work on concurrent projects, in multiple geographic zones • Understand and explain complex systems in clear and concise language • Provide support to Field Engineering for root cause analysis, with collaboration with quality team for component-level investigations, maintenance and troubleshooting support, and operating procedure review for both mechanical and electrical issues. • Listen to the voice of the customer to understand if there are improvements that can be made to increase product reliability or availability. • Work with global supplier and manufacturers to design product improvements, and to oversee root cause analysis. • Contribute to our global body of knowledge and drive a cycle of continuous improvement at a global scale Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - 5+ years developing electrical and/or electronics products and launching them into production - 5+ years with systems or components including wiring, connectors, relays, circuit breakers, switchgear and/or transformers. Preferred Qualifications: - Ability to design for manufacturability, create assembly specifications and work with contract manufacturers. - Knowledge and experience to interpret electric code NEC, NFPA, UL891, UL508, ANSI C37 or IEC 62271 or IEC61439. - Experience with electronics including instrumentation control schematics and integration of electronics components. - Knowledge of typical data center designs/architectures, and be following industry design trends. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, OH, COLUMBUS - 116,800.00 - 160,000.00 USD annually USA, TX, Austin - 116,800.00 - 160,000.00 USD annually USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually", "summaryDescription" : "Product Lifecycle Electrical Engineer, Data Center Electrical Products at Amazon Data Services, Inc.. Skills: Electrical product design, Data center electrical, Product lifecycle. Provide electrical infrastructure support. Collaborate with product development team", "postedDate" : "2026-06-13T03:54:19.569", "createdAt" : "2026-06-13T03:54:19.569", "lastUpdated" : "2026-06-15T02:40:25.324", "ingestTimestamp" : "2026-06-13T03:54:19.569", "mongoId" : "69c94a869bc74574cbbb4f78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3195096/apply", "salaryAnnualMin" : 116800, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical equipment specifications", "Manufacturing quality", "Electronics design", "Instrumentation control schematics", "Component integration", "Electrical product design", "Data center electrical", "Product lifecycle", "Product design", "Electrical infrastructure", "Root cause analysis", "Product lifecycle management", "Concurrent projects", "Data center operations", "Electrical equipment", "Electronics", "Electric code", "Data center designs", "Data center architectures" ], "skillCount" : 19, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "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" : "68ed10ab70f0b99d58e7ba89", "title" : "Program Manager – Product Lifecycle Support (PLS), WWRR RCX - Product Lifecycle Support", "company" : "Amazon Dev Center India", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, transportation and logistics", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Program Manager in E-commerce in Hyderabad, India, adjusted for company size and industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T08:40:36.906", "fingerprint" : "c18d3c0baf741085b8ae31f1b2c6d18936eb6022d12fef3efdd100ee43e383f5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105057/apply", "externalId" : "45098398-05aa-40f7-9e58-07480a31f10b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Excel, Data visualization", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Forecasting enrollments", "Tracking metrics", "Product improvements", "Operational improvements" ], "hardSkillsList" : [ "Data analysis", "Data insights", "Data-backed decisions", "Standard operating procedures", "SQL optimization", "Excel analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data insights", "level" : "intermediate" }, { "name" : "Data-backed decisions", "level" : "intermediate" }, { "name" : "Standard operating procedures", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Excel analysis", "level" : "intermediate" } ], "majorSkills" : "Program management, Process improvement, Data analysis", "majorSkillsList" : [ "Program management", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Improve support quality, Streamline processes, Forecast enrollments, Track SLAs, Resolve issues, Maintain feedback channels, Drive improvements, Identify problems, Create data-driven solutions, Monitor performance, Guide leadership decisions, Enhance quality, Develop solutions, Improve efficiency, Improve reliability, Provide partner insights, Build feedback loops, Align stakeholders, Lead collaboration, Implement scalable solutions, Boost operational efficiency, Boost customer satisfaction", "teamCollaboration" : "Product teams; Technology teams; Operations teams; Partnering teams; Cross-functional teams; Business teams", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Product Lifecycle Support; Post-purchase support; Warranty repair; Replacement parts", "domainList" : [ "product-lifecycle-support", "post-purchase-support", "warranty-repair", "replacement-parts" ], "domainSpecificKnowledge" : [ "Product Lifecycle Support", "Post-purchase support", "Warranty repair", "Replacement parts" ], "toolProficiency" : [ "SQL", "Excel", "Data visualization tools", "MS Access" ], "communicationSkills" : "Stakeholder communication; Cross-functional communication", "documentationSkills" : "Requirement documents", "problemSolvingSkills" : "Data-driven solutions; Root cause analysis", "outcomesObjectives" : "Improve support quality; Streamline processes; Reduce avoidable returns; Generate positive impacts; Improve support efficiency; Improve support reliability; Boost operational efficiency; Boost customer satisfaction; Deliver measurable improvements", "qualificationsBasic" : "2+ years program management, Bachelor's degree, Analyze large datasets, Implement data-backed decisions, Develop SOPs, Proficiency in SQL, Proficiency in Excel, Proficiency in data visualization tools, Excellent communication skills, Stakeholder management skills, Influence cross-functional teams, Customer-first mindset", "qualificationsPreferred" : "Knowledge of Lean principles, Knowledge of DMAIC methodology, Experience in MS Access, Experience in SQL, Experience in requirement gathering, Write clear requirement documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Product Lifecycle Support (PLS) offers relevant post-purchase product support to customers, and empowers them to make the most of the products purchased on Amazon. By solving post-purchase product issues, we prevent avoidable returns and help the planet by extending the life of products, thereby generating positive financial and environmental impacts. PLS first launched in Q4 2015 featuring a warranty repair option for Samsung laptops surfaced during the returns process in the Online Return Center (ORC). Since then, PLS has grown substantially, and now offers customers eight product support options - (1) Live call & chat with Amazon product support agent available up to 6 months, (2) Live call & chat with the brand product support agent available up to 2 years, (3) contact the manufacturer yourself by accessing brand phone number and/ support website available up to 2 years, (4) access free warranty repair services available up to 2 years, (5) accessing free replacement parts available until return window, (6) access other sustainable end-of-life options such as trade-in, resell, refill, recycle, donate etc. available up to 2 years, (7) help yourself by watching step-by-step video instructions provided by the brand, and (8) help yourself by following step-by-step instructions provided by the brand. Amazon’s Product Lifecycle Support (PLS) team is seeking a results-driven Program Manager to lead initiatives that enhance the quality of customer support through the PLS Replacement Parts Program. This role requires close collaboration with Product, Technology, Operations, and Partnering teams to identify challenges, develop solutions, and improve support efficiency and reliability. You will be responsible for forecasting enrollments and tracking key performance metrics like SLAs, providing partners with the insights needed for effective planning. Additionally, you will build and maintain strong feedback loops between Partnership and PLS business teams to drive product and operational improvements based on customer and partner input. As the central coordinator, you will align stakeholders, lead cross-functional collaboration, and implement scalable solutions that boost operational efficiency and customer satisfaction. Success in this role demands a proactive, data-driven mindset and excellent communication skills to influence teams and deliver measurable, lasting improvements in support quality Key job responsibilities Work with teams to improve support quality and streamline processes. Help forecast enrollments, track SLAs, and resolve issues. Maintain feedback channels to drive improvements. Identify problems and create data-driven solutions. Use data to monitor performance and guide leadership decisions. Basic Qualifications: - 2+ years of program or project management experience - Bachelor's degree or equivalent - Strong ability to analyze large datasets, draw insights, and implement data-backed decisions. - Experience developing and optimizing standard operating procedures (SOPs). - Proficiency in SQL, Excel, and data visualization tools to track and measure program impact. - Excellent communication and stakeholder management skills, with the ability to influence cross-functional teams. - Customer-first mindset with a focus on improving post-purchase support and reducing avoidable returns. Preferred Qualifications: - Knowledge of Lean principles and DMAIC methodology - Experience in MS Access and SQL - Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Program Manager – Product Lifecycle Support (PLS), WWRR RCX - Product Lifecycle Support at Amazon Dev Center India. Skills: Program management, Process improvement, Data analysis. Improve support quality. Streamline processes", "postedDate" : "2026-06-14T07:38:29.433", "createdAt" : "2026-06-14T07:38:29.433", "lastUpdated" : "2026-06-15T08:40:36.906", "ingestTimestamp" : "2026-06-14T07:38:29.433", "mongoId" : "68ed10ab70f0b99d58e7ba89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105057/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data insights", "Data-backed decisions", "Standard operating procedures", "SQL optimization", "Excel analysis", "Program management", "Process improvement", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Forecasting enrollments", "Tracking metrics", "Product improvements", "Operational improvements", "Project management", "Product Lifecycle Support", "Post-purchase support", "Warranty repair", "Replacement parts", "SQL", "Excel", "Data visualization tools", "MS Access" ], "skillCount" : 27, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c4ff292fd229cf6158b", "title" : "Field Service Technician / Engineer (Medical Device) - 61", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Field Service Technician/Engineer in the Healthcare industry in Dallas, United States, adjusted for seniority and industry." }, "location" : "Dallas, TX", "locations" : [ "Dallas, TX" ], "certifications" : [ "Valid driver's license" ], "timestamp" : "2026-06-16T06:55:14.724", "fingerprint" : "9012fe035e9688f658576643e95774facec26e99499fa6d4baa78901d803a307", "source" : "jazzhr", "language" : "en", "externalId" : "rMBao3rGoR", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "technicalSkills" : "Medical devices, Troubleshooting, Repair, Preventative maintenance", "professionalSkills" : [ "Customer service", "Technical support" ], "hardSkillsList" : [ "Mechanical repair", "Electrical repair", "Electronic repair" ], "hardSkills" : [ { "name" : "Mechanical repair", "level" : "intermediate" }, { "name" : "Electrical repair", "level" : "intermediate" }, { "name" : "Electronic repair", "level" : "intermediate" } ], "majorSkills" : "Field service, Medical device repair", "majorSkillsList" : [ "Field service", "Medical device repair" ], "coreResponsibilities" : "Perform installations, Perform repairs, Perform maintenance, Provide technical support, Document service activities, Manage service inventory, Maintain company vehicle", "teamCollaboration" : "Field service team", "domainKnowledge" : "Medical device regulations", "domainList" : [ "medical-device-regulations" ], "domainSpecificKnowledge" : [ "Medical device regulations" ], "toolProficiency" : [ "Diagnostic tools", "Hand tools" ], "communicationSkills" : "Customer communication", "documentationSkills" : "Service reports", "problemSolvingSkills" : "Troubleshooting; Problem resolution", "specialRequirements" : "25% travel, On-call rotation, Ability to lift 50 lbs", "qualificationsBasic" : "5+ years experience, Associate's degree, Valid driver's license, Ability to lift 50 lbs", "qualificationsPreferred" : "Bachelor's degree, Medical device experience", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Field Service Technician / Engineer (Medical Device) - 61. Skills: Field service, Medical device repair. Perform installations. Perform repairs", "createdAt" : "2026-06-15T22:26:03.445", "lastUpdated" : "2026-06-16T06:55:14.724", "ingestTimestamp" : "2026-06-15T22:26:03.445", "mongoId" : "6a305c4ff292fd229cf6158b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Mechanical repair", "Electrical repair", "Electronic repair", "Field service", "Medical device repair", "Customer service", "Technical support", "Medical device regulations", "Valid driver's license", "Diagnostic tools", "Hand tools" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c4ff292fd229cf6158d", "title" : "Field Service Technician / Engineer (Medical Device) - 61", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Field Service Technician/Engineer in the Healthcare industry in Tampa, United States, adjusted for city tier and seniority." }, "location" : "Tampa, FL", "locations" : [ "Tampa, FL" ], "timestamp" : "2026-06-16T05:59:59.863", "fingerprint" : "395e8f9e33f90b49565bdc463cf0bf6f52374c27976eb0e8eedb6de6a5ae32fb", "source" : "jazzhr", "language" : "en", "externalId" : "QpOzH94oUf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "coreResponsibilities" : "Perform field service, Install equipment, Maintain equipment, Repair equipment, Troubleshoot equipment, Provide customer support, Document service activities", "domainKnowledge" : "Medical devices", "domainList" : [ "medical-devices" ], "domainSpecificKnowledge" : [ "Medical devices" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Travel required", "qualificationsBasic" : "5+ years experience", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Field Service Technician / Engineer (Medical Device) - 61. 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