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Product Manager

DatologyAI· Product
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Hybrid (San Mateo HQ)$215k - $300kFull-timePosted 6mo ago

About the role

As the first Product Manager, own the product strategy and roadmap for the enterprise data curation platform, bridging cutting-edge ML research with enterprise software to build a category-defining AI tooling company.

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
  • Work with Sales and Customer Success to ensure the product enables a repeatable, defensible go-to-market motion
  • Track the competitive landscape across AI tooling, MLOps, and data infrastructure to inform positioning and prioritization
  • Serve as the connective tissue between research output and commercial product -- helping the team decide what to build, sequence how, and measure whether it's working

Qualifications

  • 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
  • A sharp product instinct for developer and technical user experiences. You know the difference between a product that's powerful and one that's actually used
  • Excellent cross-functional communication: you can make a research result legible to a sales team and a customer complaint actionable for an engineer
  • Comfort operating in ambiguity and a bias toward decisive, data-informed action
  • Bonus points if you have: Hands-on experience with model training, data pipelines, or MLOps workflows; Prior experience at an AI infrastructure, developer tools, or data platform company; Exposure to enterprise procurement and compliance requirements (BYOC, on-prem, data sovereignty)

Skills

Required:Product managementTechnical reading ability

Benefits

  • 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
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About DatologyAI

Train Better Models, Faster and Smaller

DatologyAI automatically curates model training data. Train faster, achieve better performance, and reduce costs with enterprise-grade data curation.

Data CurationData QualityModel Trainingliquid-ai-recruiting-target
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