Senior Product Manager - Data & Quality

About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems.

The Role

We are seeking a highly technical and strategic Senior Product Manager with deep AI/ML expertise to lead development across our agentic data systems, synthetic data systems, evaluations, and data-acceleration initiatives. This role is ideal for someone with a core ML/AI product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations.

What You’ll Do

• Own the product vision, strategy, and roadmap for the task and Expert Contributor Evaluations product supporting internal and external platform users.
• Identify bottlenecks and lead cross-team efforts to improve overall quality and customer acceptance rate.
• Lead Evaluation products and tools across research, engineering, operations, and forward deployed engineers to drive excellence in product quality.
• Define, build, and set up continuous monitoring for performance metrics of Evaluations to improve their adaption, usage, and effectiveness.
• Own the strategy and execution of Expert Contributor Quality.
• Build a recommendation system for optimal matching of ECs to tasks on the Snorkel Platform.
• Work with cross-functional stakeholders to support enablement and adaptation initiatives of the Evaluations and Quality products.
• Balance short-term delivery with long-term platform investments to support future growth.

Minimum Qualifications

• 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas.
• Educational background in computer science or related engineering practice.
• Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks.
• Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch.
• Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes.
• Experience building internal or platform-level products with complex workflows and multi-stakeholder environments.
• Proven ability to own end-to-end product experiences across multiple user personas.
• Strong analytical and problem-solving skills, with a track record of metrics-driven decision making.
• Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams.

Preferred Qualifications

• 5-7 years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, or data systems products.
• Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, or automated workforce/task routing platforms.
• Familiarity with LLMs, LLM Evaluations, human-in-the-loop systems, and synthetic data generation.
• Background in Machine Learning, Data Engineering, or related technical field.
• Demonstrated ability to lead large, cross-team initiatives without formal authority.