Staff Product Manager – AI/ML at Snorkel AI

San Francisco, California, United States

Snorkel AI Logo
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

AI
ML
Product Management
Data Pipelines
Model Development
Labeling Strategies
Quality Frameworks
PRDs
Roadmaps

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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