{"id":714815,"url":"https://alion.io/job/withdavid-technical-product-manager","title":"Technical Product Manager","company":{"id":673490,"name":"David AI Labs","domain":"withdavid.ai","url":"https://alion.io/company/withdavid","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Product","role_family":"Product","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Scale AI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-14T20:19:45Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-29T13:27:53Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"About David AI\nDavid AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.\nDavid AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.\nOur team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.\nAbout our Technical Product Manager team\nOur Technical Product Manager team builds the Data Factory at David AI. We set the strategy for how raw audio becomes high-quality training data, decide what gets built, and own the outcomes: scale, quality, cost, and the experience of our contributors. Working across Operations, Engineering, and Research, we move fluidly across all three to solve some of the most challenging problems at David AI.\nAbout this role\nDavid AI is hiring a Technical Product Manager to own a core part of our Data Factory, from early prototypes through production scale. Depending on your background and where we need you most, that could cover our contributor marketplace, our Operations infrastructure, a new or scaling business unit, or the systems our ML team relies on. You'll need the operational chops to lead complex efforts, the instinct to automate them, the technical ability to build the first MVP yourself, and the judgment to partner with engineering and research to implement at scale.\nIn this role, you will\nOwn the strategy and roadmap for your area of the Data Factory, from 0→1 prototypes through scaled production systems.\n\nLead complex operational efforts and design the workflows and automation that let them scale.\n\nBuild the first version yourself-scripts, queries, dashboards, and prototypes-then partner with engineering to implement it at scale.\n\nTranslate the model capabilities our customers care about into concrete workflows, requirements, and project plans.\n\nPartner with Operations, Engineering, and Research to focus the team on the most important problems and take new systems from idea to deployment.\n\nUse data to guide decision making, diagnose issues, and measure performance against throughput, quality, and cost.\n\nKnow when to move fast and when to slow down for alignment, with a bias for rapid prototyping.\n\nTake full-stack accountability across product, operations, engineering, and customers, solving bottlenecks and ensuring delivery.\n\nYour background looks like\nUndergraduate degree in Computer Science or another technical / STEM field, or comparable work experience.\n\n2-8 years of experience in product, operations, consulting, or startup environments.\n\nDirect experience as a product manager, technical program manager, founder, or technical operator accountable for outcomes.\n\nHighly proficient in SQL and able to develop lightweight prototypes end-to-end.\n\nA track record of building your own tools in operationally complex roles, or of taking a messy business problem from data foundation through analysis to implementation.\n\nSystems thinker who can spot leverage points and design for scale and durability.\n\nStrong product intuition, able to work with engineers and researchers to get to the right answer fast.\n\nHigh-execution operator: fast, detail-oriented, and uncompromising on quality.\n\nCollaborative and low-ego, willing to roll up your sleeves.\n\nBenefits\nUnlimited PTO.\n\nTop-notch health, dental, and vision coverage with 100% coverage for most plans.\n\nFSA & HSA access.\n\n401k access.\n\nMeals 2x daily through DoorDash + snacks and beverages available at the office.\n\nUnlimited company-sponsored Barry's classes.","description_format":"text","description_chars":4162,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Training Data & 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