Product Manager

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