Role Overview

Snorkel AI is seeking a highly technical Senior Product Manager to lead products focused on AI/ML data systems, evaluations, synthetic data, and data quality. You will work across Research, Engineering, Data Operations, and Design to improve the quality, scalability, and efficiency of AI-ready data workflows.

Responsibilities

• Own product vision, strategy, and roadmap for Evaluations and Expert Contributor Quality.

• Identify bottlenecks and improve product quality and customer acceptance rates.

• Lead evaluation products across Research, Engineering, Operations, and forward-deployed teams.

• Define and monitor performance metrics to improve evaluation adoption and effectiveness.

• Build a recommendation system for matching Expert Contributors to tasks.

• Support product enablement and adoption initiatives.

• Balance short-term delivery with long-term platform investments.

Requirements

• 5–7 years of Product Management experience with complex, cross-functional products.

• Background in Computer Science or a related engineering field.

• Strong knowledge of ML, GenAI, LLM products, agentic systems, evaluations, labeling, and quality frameworks.

• Experience taking technical products from concept through launch.

• Ability to write clear PRDs and work with research experimentation frameworks.

• Experience building internal or platform-level products with complex workflows.

• Strong analytical, problem-solving, and metrics-driven decision-making skills.

• Excellent collaboration with Engineering, Research, and Operations teams.

Preferred

• 3+ years focused on ML/AI, MLOps, or data systems products.

• Experience with agent-based systems, GenAI, reinforcement learning, self-improving systems, or automated task routing.

• Familiarity with LLM evaluations, human-in-the-loop systems, and synthetic data.

• Background in Machine Learning or Data Engineering.

• Experience leading large cross-team initiatives without formal authority.