4-5+ years of product management experience as an individual contributor
Computer science degree with technical expertise in ML-derived products
Startup experience in a zero-to-one environment
Proven track record of end-to-end product ownership and measurable growth
Analytical mindset with a scrappy approach to problem-solving
Experience with data products or product-led growth is strongly preferred
Responsibilities
Identify customer needs and assess current product solutions
Define and prioritize derived data products with the machine-learning team
Own the product roadmap from requirements to feedback post-launch
Scale product-led growth to match the sales-led business
Collaborate with customers to build agents and workflows on the platform
Ensure shipped features are utilized and continuously improved
Benefits
Flexible work environment with occasional travel to customers
Opportunity to shape the product direction as a founding team member
Engagement in a dynamic startup culture
Direct impact on product adoption and customer satisfaction
Access to cutting-edge data infrastructure and AI technologies
Full Job Description
Location: San Francisco, CA
Work Model: Onsite (occasional travel to customers)
Industry: Data infrastructure / AI
Compensation: $200K-$350K base, with flexibility above that band for an exceptional profile The Opportunity
This is a founding product manager seat and the second product hire at the company. It is an individual-contributor role with unusually wide surface area: the product team decides which derived datasets get built from an enormous already-indexed corpus, and how a self-serve business scales to match a sales-led one.
The work splits across two verticals. On the data side, you will identify the derived datasets the machine-learning team should build next, prioritize them against customer demand, and make sure they land as products people actually use. On the product-led growth side, you will scale self-serve toward the run rate of the sales-led business, enabling users to build their own internal workflows and agents on top of the data. The role exists because features have shipped without product ownership and gone unused; you are the person who closes that loop. Responsibilities
Identify what customers are asking for and judge whether the current product already solves it
Define and prioritize derived data products (for example technographics or fraud signals) with the machine-learning team
Own the roadmap end to end: requirements, implementation, launch, adoption, and the feedback loop after launch
Scale the product-led growth motion toward parity with the sales-led business
Work directly with customers building agents and internal workflows on top of the platform
Make sure shipped features get into customers' hands and keep improving rather than going dormant
Requirements
4-5+ years of product management experience, operating as an individual contributor
Computer science degree, with the technical depth to reason about agent-facing and ML-derived products
Startup experience and comfort in a zero-to-one environment
Track record of owning a product area end to end and growing it measurably
Analytical, scrappy, and able to move without a large supporting org
Experience with data products, ML-driven features, or product-led growth motions is strongly preferred
