Product Manager
DatologyAIAI Data company
Redwood City, United States$215K - $300KSenior
Felicis Ventures
Radical Ventures
Amplify Partners
M12
Elad Gil
Amazon Alexa Fund
Product
About the role
TL;DR
Own the product strategy and roadmap for our enterprise data curation platform.
- •As our first Product Manager, you will own the product strategy and roadmap for our enterprise data curation platform.
- •This is a high-leverage, high-ownership role where you’ll build the function from the ground up.
- •You'll work at the intersection of cutting-edge ML research and enterprise software, translating deep technical capabilities like automated data selection, deduplication, batching, multimodal curation at petabyte scale into a product that enterprise AI teams love to use.
- •Key Responsibilities Own the product roadmap end-to-end: from discovery and prioritization through launch and iteration, with a focus on enterprise-grade AI tooling Partner with research and engineering to turn ambiguous, early-stage outputs into concrete, shippable product decisions.
- •Define and drive the enterprise product experience -
- •including platform UX, API design, deployment flexibility (BYOC, on-prem), and integrations with existing ML workflows Develop deep customer intuition by engaging directly with enterprise ML teams, data scientists, and infrastructure engineers -
- •turning their pain points into a clear product strategy Build the foundational PM infrastructure: discovery frameworks, roadmap tooling, release processes, and cross-functional rituals that scale as the team grows Requirements 5+ years of product management experience, with at least 3 years building enterprise software or AI/ML tooling at a senior or staff level A strong technical foundation.
- •You can read a research paper, engage credibly with ML engineers about training pipelines and data infrastructure, and distinguish meaningful technical differentiation from noise You've shipped products where the starting point was a paper or prototype and know how to impose structure without killing what makes the technology special Experience as a founding or early PM, with a track record of building product functions and processes Deep familiarity with the enterprise AI/ML buyer: you understand how ML teams evaluate tools, what makes them adopt and stick, and how infrastructure decisions get made
Required skills
Product StrategyProduct ManagementCustomer DiscoveryProduct AnalyticsCompetitive AnalysisProduct OperationsProduct-Led Growth
Nice-to-have skills
AgileScrumKanbanUser ResearchA/B TestingRoadmappingPRDsOKRsDesign Thinking
Domain expertise
ai
Benefits & perks
100% covered health benefits (medical, vision, and dental), 401(k) plan with a generous 4% company match, Unlimited PTO policy, Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility, Annual $2,000 wellness stipend, Annual $1,000 learning and development stipend, Daily lunches and snacks are provided in our office!, Relocation assistance for employees moving to the Bay Area