Staff Product Manager – AI/ML at Snorkel AI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI/MLIndustries

Requirements

Minimum Qualifications
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
Preferred Qualifications
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

Responsibilities

Lead development across agentic data systems, task-quality infrastructure, and data-acceleration initiatives
Work closely with Research, Engineering, Data Operations, and Design to define product vision, roadmap, and execution plans
Build intelligent workflow systems that optimize data pipelines, improve annotation/task quality, and enable faster and more efficient delivery of ML-ready data

Skills

Key technologies and capabilities for this role

AIMLProduct ManagementData PipelinesModel DevelopmentLabeling StrategiesQuality FrameworksPRDsRoadmaps

Questions & Answers

Common questions about this position

What is the salary range for the Staff Product Manager role?

The salary range is $240,000 - $300,000 USD.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What are the minimum qualifications for this role?

Minimum qualifications include 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 technical roadmaps end-to-end, ability to write clear PRDs and drive outcomes, experience with enterprise customers, and building platform-level products.

What is the company culture like at Snorkel AI?

Snorkel AI offers a rapidly scaling environment with market-proven solutions, robust funding, and stability, focused on transforming expert knowledge into specialized AI through data-centric approaches originating from Stanford AI Lab.

What makes a strong candidate for this Staff Product Manager position?

Strong candidates have 7+ years as a Product Manager with 3+ years focused on ML/AI platforms, MLOps, or data systems, experience with agent-based systems, generative AI, reinforcement learning, quality scoring, human-in-the-loop systems, synthetic data, and a technical background in Computer Science, Machine Learning, or Data Engineering.

Snorkel AI

Transforms manual AI processes into programmatic solutions

About Snorkel AI

Snorkel AI focuses on improving the development of artificial intelligence by transforming traditional manual processes into automated, programmatic solutions. This allows businesses to create AI systems that are specifically designed for their unique needs much more quickly. Their technology is based on research from the Stanford AI lab and is used by major organizations, including top US banks, government agencies, and Fortune 500 companies. Snorkel AI stands out from its competitors by offering proprietary data and knowledge that help speed up the deployment of AI solutions. The company's goal is to make AI development more efficient and accessible for enterprises, enabling them to leverage AI effectively in their operations.

Redwood City, CaliforniaHeadquarters

2019Year Founded

$131.3MTotal Funding

SERIES_CCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Health - Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.

Environment - We provide an allowance for Snorkelers to set up workstations however they want.

Wellness - Snorkelers are given a yearly wellness stipend to be used on anything relating to health and well-being.

Risks

Open-source AI platforms like Together AI increase competition for Snorkel AI.

Copyright lawsuits against AI firms pose potential legal risks for Snorkel AI.

Rapid expansion may lead to integration challenges within Snorkel AI's operations.

Differentiation

Snorkel AI uses programmatic data labeling to accelerate AI development.

The company transforms proprietary data into AI-ready datasets for specialized models.

Snorkel AI's technology originated from Stanford AI Lab research.

Upsides

Snorkel AI's partnership with Together AI enables custom LLMs for enterprises.

The release of Snorkel Flow 2023.R4 enhances user experience and tool integration.

Growing demand for programmatic data labeling boosts Snorkel AI's market potential.

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