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$190k–$240k/yr
Full-time
bachelor degree
Posted 13d ago
~40 hrs/week
Responsibilities
Own the product vision, strategy, and roadmap for task and expert contributor evaluation products. Lead cross-team initiatives to improve data quality, performance metrics, and the effectiveness of intelligent workflow systems.
Requirements
Requires 5–7 years of product management experience with a strong technical background in ML, AI, and data systems. Candidates must demonstrate the ability to drive complex, cross-functional roadmaps and possess an educational background in computer science or related engineering.
Full job description
About Snorkel
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 since 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!
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. 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 task quality, and enable faster and more efficient delivery of AI-ready datasets.
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.
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.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$190,000—$240,000 USD
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.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench. Learn more at snorkel.ai or follow @SnorkelAI.
Offices: 55 Perry St, Redwood City, California 94063, US
AI Data DevelopmentExpert DataPost-Training DataLLM Training DataPreference DataReinforcement LearningRL EnvironmentsReinforcement Learning from Human Feedback (RLHF)Supervised Fine-Tuning (SFT)AI Benchmarks
How much do Engineering jobs in Redwood City, CA pay?
Based on 202 listings with disclosed salaries, most engineering jobs in Redwood City, CA pay between $117k–$250k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Redwood City, CA right now?
There are currently 260 open engineering positions in Redwood City, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Redwood City, CA?
Companies currently hiring include Revolution Medicine, Luma, Delinea, BKF Engineers, Box, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Redwood City, CA?
Yes — 145 of the 260 open engineering positions offer remote or hybrid work (29 remote, 116 hybrid).
How do I apply for Engineering jobs in Redwood City, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.