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← Snorkel AI

Senior Product Manager - Data & Quality

Snorkel AI
Location
New York City, NY (Hybrid); San Francisco, CA (Hybrid)
Posted
2 months ago
Department
314 - Product
What they actually want (must-haves)
  • 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
Nice to have
  • 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.
What the job really is

The Senior Product Manager - Data & Quality at Snorkel will lead the development of agentic data systems and synthetic data systems, focusing on improving data operations' speed, quality, and scalability. This role involves defining product vision and strategy, collaborating with cross-functional teams, and driving initiatives that enhance product quality and customer acceptance. The manager will also be responsible for building performance metrics and a recommendation system for task matching on the Snorkel platform.

Things to weigh
  • No specific benefits or perks listed in the posting
  • The role requires a strong technical background in AI/ML, which may limit candidates without such experience
  • The salary range is provided, but actual compensation will depend on various factors, which may lead to variability in offers.
Job score2/5
Benefits1/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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