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
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location
Salary range(s) for this role
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success
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