Staff Product Manager (Data Products)

Join Snorkel, a leading AI data platform, as a Staff Product Manager for Data Products. In this role, you will own the roadmap for Snorkel's Agentic Data and RL Environments, shape the product strategy for various data types, and collaborate cross-functionally with research, academic partners, and GTM. You will have a significant impact on Snorkel's competitive edge in the market and help define the skills and capabilities for our datasets.

• Diriger la stratégie produit pour une variété de types de données, en comprenant le marché et en collaborant avec des chercheurs.
• Établir les cadres pour construire la feuille de route, recueillir des données à partir de sources pertinentes et partager la feuille de route avec les parties prenantes.
• Posséder la feuille de route "données en tant que produit" pour les domaines d'intérêt de Snorkel, en travaillant de manière transversale avec la recherche et les partenaires académiques.

• Track record building product frameworks from zero — prioritization models, roadmap artifacts, intake processes — in an environment with no existing playbook
• Experience operating across research, GTM, and operations simultaneously, with evidence of driving decisions through influence rather than authority
• Quantitative rigor: can size a market, model unit economics of a data program (cost per trajectory/task/environment), and defend prioritization with numbers
• Familiarity with agentic systems and the current agentic eval landscape (e.g. SWE-bench-style coding evals, terminal/computer-use benchmarks, tool-use and long-horizon task evaluation) and an informed view on where they fall short
• Strong technical foundation — comfortable reading research papers, discussing training dynamics with scientists, and reasoning about data pipelines end-to-end
• Excellent analytical instincts — able to define success metrics for products that live close to research, where outcomes are often indirect
• Experience working in fast-paced environments, setting up 0→1 products
• Demonstrated ownership of a technical product where data itself was the deliverable — datasets, benchmarks, evals, annotation pipelines, or labeled corpora sold or shipped to external consumers
• Direct customer-facing experience with highly technical buyers; ability to run a discovery conversation with an ML researcher or post-training lead and convert it into a roadmap commitment
• Ability to write clearly for two audiences at once — internal research/ops and external frontier lab stakeholders
• 4-6 years of experience shaping technical roadmaps and working with researchers as stakeholders
• Working fluency in modern LLM post-training: SFT, preference data (RLHF/RLAIF), RLVR, reward modeling, and how data composition affects model capability. Must be able to hold a substantive conversation with a research scientist without an interpreter
• Comfort with ambiguity and working with multiple technical and non-technical stakeholders
• 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)
• AI and ML fluency, especially related to Frontier Agentic Workflows and RL Environments