Staff Product Manager - AI/ML
About The Position
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We are seeking a highly technical and strategic Product Manager with deep AI/ML expertise to lead development across our agentic data systems, task-quality infrastructure, and data-acceleration initiatives. This role is ideal for someone with a core ML product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations. You will work closely with Research, Engineering, Data Operations, and Design to define product vision, roadmap, and execution plans for intelligent workflow systems that optimize data pipelines, improve annotation/task quality, and enable faster and more efficient delivery of ML-ready data.
Requirements
- 7+ years of experience as a Product Manager
- Educational background in computer science or related engineering practice
- Strong technical literacy across ML model development, data pipelines, 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 working closely with enterprise customers and channel partners in the enterprise software industry
- Experience building internal or platform-level products with complex workflows and multi-stakeholder environments.
Nice To Haves
- 7+ years of experience as a Product Manager, including 3+ years focused on ML/AI platforms, 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 quality scoring mechanisms, human-in-the-loop systems, and synthetic data generation.
- Background in Computer Science, Machine Learning, Data Engineering, or related technical field
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Publishing Industries
Education Level
No Education Listed
Number of Employees
101-250 employees
