Product Manager

About the Role As our first Product Manager, you will own the product strategy and roadmap for our enterprise data curation platform. This is a high-ownership role where you’ll build the function from the ground up. You'll bridge cutting-edge ML research with enterprise software, translating deep technical capabilities into a product that enterprise AI teams love to use. What You'll Do

• 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 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
• Build the foundational PM infrastructure: discovery frameworks, roadmap tooling, release processes, and cross-functional rituals as the team grows
• Collaborate with Sales and Customer Success to enable a repeatable, defensible go-to-market motion
• Track the competitive landscape across AI tooling, MLOps, and data infrastructure to inform positioning
• Serve as the connective tissue between research output and commercial product What We're Looking For
• 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: ability to read a research paper, engage credibly with ML engineers about training pipelines and data infrastructure, and distinguish meaningful technical differentiation
• 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: understanding evaluation, adoption, and infrastructure decision-making
• A sharp product instinct for developer and technical user experiences; know the difference between a powerful product and one that is actually used
• Excellent cross-functional communication; able to translate research results for sales and customer feedback into actionable engineering work
• Comfort operating in ambiguity with 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) Nice to 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 & Benefits
• Salary: $215,000 to $300,000 per year
• 100% covered health benefits (medical, vision, dental)
• 401(k) with a generous 4% company match
• Unlimited PTO
• 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 in our office
• Relocation assistance for employees moving to the Bay Area