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Staff Product Manager - Data Products

Snorkel AISan Francisco, CA (Hybrid)314 - Product
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Salary
Not listed
Job type
Full-time
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

Snorkel AI seeks a Staff Product Manager - Data Products to direct the agentic data and reinforcement learning environments roadmap in San Francisco, CA. This hybrid position suits a strategic professional with a strong technical background who enjoys operating at the intersection of research, operations, and go-to-market teams.

Role Overview

The founding AI Data Product Manager will own the product strategy for various data types, including agentic coding and computer use. In this position, the professional will shape the roadmap for invested datasets by analyzing market needs, incorporating frontier lab requirements, and partnering closely with internal researchers and academic collaborators. This cross-functional role requires building brand-new product frameworks from scratch, gathering vital data from multiple sources, and communicating strategic directions to internal and external stakeholders.

Key Responsibilities

Own the data as a product roadmap for agentic and reinforcement learning environment focus areas.
Collaborate across functions with research, academic partners, and go-to-market teams to define dataset capabilities and skills.
Shape new data product areas and leverage partnerships to build a strong market competitive edge.
Define product success metrics that operate close to research where outcomes can be indirect.
Establish product frameworks from zero, including prioritization models, intake processes, and roadmap artifacts.

Requirements

Possess 4-6 years of experience shaping technical roadmaps and collaborating with researchers as stakeholders.
Demonstrate artificial intelligence and machine learning fluency, specifically concerning frontier agentic workflows and reinforcement learning environments.
Bring 8+ years in product management, featuring 3+ years at a senior or staff level owning end-to-end roadmaps, or 6+ years paired with a PhD or machine learning research background.
Show direct ownership of a technical product where data served as the primary deliverable, such as datasets, benchmarks, evaluations, or labeled corpora.
Exhibit working fluency in modern large language model post-training, including SFT, preference data, reward modeling, and data composition impacts.
Maintain familiarity with agentic systems and the current evaluation landscape, alongside quantitative rigor to size markets and model unit economics.

Nice to Have

Prior experience inside a frontier lab or at an artificial intelligence data and environments company.
Hands-on technical ability to write Python, query data, run models, and prototype evaluations without engineering support.
Experience building or specifying reinforcement learning environments, sandboxed task environments, and verifiable reward design.
Direct background in agentic coding or computer-use data, encompassing trajectory collection and verifier construction.
Experience structuring academic partnerships or publishing research and open-source datasets.

Skills and Tools

Python
LLMs
Agentic Systems
Reinforcement Learning Environments
Data Pipelines
Market Sizing and Unit Economics

Salary and Benefits

The salary range for this role is $260,000 to $300,000 USD, determined by factors such as skills, qualifications, experience, and geographic location.
Opportunities to shape priorities, influence strategic decisions, and impact company growth.
Equal Employment Opportunity employer supporting diversity and reasonable accommodations.

About the Company

Snorkel AI functions as a frontier artificial intelligence data lab that assists teams in building the data and environments required for high-performing frontier and agentic systems. Founded out of the Stanford AI Lab in 2019, the organization combines technology with research-driven artificial intelligence data development to deliver datasets, benchmarks, evaluations, and custom solutions.

How to Apply

Interested candidates should apply directly on the official Snorkel AI careers page.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is based in San Francisco, CA, operating on a hybrid schedule.

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

The salary range for this role is $260,000 to $300,000 USD, depending on experience, skills, qualifications, and geographic location.

What level of experience is required?

The role requires 4-6 years of experience shaping technical roadmaps with researchers, or 8+ years in product management with 3+ years at a senior or staff level, or 6+ years with a PhD or research background in machine learning.

What technical knowledge is necessary for this position?

Candidates must have artificial intelligence and machine learning fluency related to frontier agentic workflows, reinforcement learning environments, and modern large language model post-training.

How should I apply for this position?

Candidates should submit their application through the official Snorkel AI careers page.

Ready to apply?

The application is on the official Snorkel AI careers page.

Apply on company site