Hiring: Senior Product Manager - Data & Quality Company: Snorkel AI Location: San Francisco, CA Job Posted Time: 2026-09-10 07:37:32 Target Skills & Keywords : Data Pipeline, ECS, LLM, MLOps, Machine Learning, Reinforcement Learning About the job Experience: •5-7 years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, or data systems products. •7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas. •7 years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, or data systems products. Required Skills: •This is a highly cross-functional, technically deep IC role with broad surface area and significant impact. You will lead initiatives spanning multiple teams, balancing near-term execution with long-term platform evolution. •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 •Interface directly with cross-functional stakeholders to support enablement and adaptation initiatives of the Evaluations and Quality products Qualifications: •5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas. •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. •Demonstrated capacity to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes. •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. •Operational 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. Compensation: •$220,000 - $260,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!