Staff Product Manager - Data Products

The role

You will own the Agentic Data and RL Environments roadmap. You will lead product strategy for various data types and collaborate with researchers and academic partners to shape datasets.

What you will do

• Own the data as a product roadmap for Agentic and RL Environment focus areas
• Shape new data product areas with academic partners and research leaders
• Collaborate cross-functionally to shape roadmap and data strategy
• Influence business strategy
• Set up frameworks to build the roadmap and gather data
• Share the roadmap with internal and external stakeholders

Required qualifications

• 4-6 years of experience shaping technical roadmaps and working with researchers as stakeholders
• Comfort with ambiguity and working with multiple technical and non-technical stakeholders
• Experience working in fast-paced environments, setting up 0→1 products
• AI and ML fluency, especially related to Frontier Agentic Workflows and RL Environments
• 8+ years in product management, including 3+ years at senior/staff level owning a roadmap end-to-end (or 6+ years with a PhD/research background in ML)
• Demonstrated ownership of a technical product where data itself was the deliverable
• Working fluency in modern LLM post-training: SFT, preference data (RLHF/RLAIF), RLVR, reward modeling, and how data composition affects model capability
• Familiarity with agentic systems and the current agentic eval landscape
• Track record building product frameworks from zero
• Experience operating across research, GTM, and operations simultaneously
• Direct customer-facing experience with highly technical buyers
• Quantitative rigor to size markets and model unit economics

Nice to have

• Prior experience at an AI data/environments company or inside a frontier lab's data, post-training, or evals org
• Has built or specified RL environments
• Direct experience with agentic coding or computer-use data specifically
• Hands-on technical ability in Python, querying data, running models, and prototyping evals
• Experience selling or delivering into frontier labs
• Experience structuring academic or research partnerships
• Published research, open-source datasets/benchmarks, or public writing
• Experience with pricing and packaging for bespoke or semi-standardized data contracts
• Competitive intelligence muscle
• Prior founding-PM or 0→1 experience at a company between Series B and IPO

About the company

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises.