Product Manager
Owns product strategy and roadmap for enterprise AI data curation platform, translating ML research into shippable features. Partners with research, engineering, and sales; requires 5+ years PM experience in AI/ML tooling and strong technical foundation in ML pipelines.
About the job
What You'll Work On
- 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
About You
- 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)
Compensation
Base salary: $215,000 - $300,000
Benefits:
- 100% covered health benefits (medical, vision, and dental)
- 401(k) plan with a generous 4% company match
- Unlimited PTO policy
- Annual $2,000 wellness stipend
- Annual $1,000 learning and development stipend
- Daily lunches and snacks provided in office
- Relocation assistance for employees moving to the Bay Area
Skills
Product Management, Ai/Ml Tooling, MLOps, Data Pipelines, API Design, Roadmap Planning, Enterprise Software, Model Training, Byoc, On-Prem Deployment
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