Staff Product Manager - Data Products

Snorkel AI, San Francisco, CA (Hybrid) +1

The role

We're looking for our founding AI Data Product Manager to own Snorkel's Agentic Data and RL Environments roadmap. In this role, you'll lead the product strategy for a variety of data types (e.g. Agentic Coding, Computer Use). You will shape the roadmap for the datasets Snorkel invests in by understanding the market, incorporating frontier lab needs and collaborating with researchers at Snorkel and our academic partners.

All jobs

Staff Product Manager - Data Products

Snorkel AI, San Francisco, CA (Hybrid) +1

Posted pay

$260K–$300K

a year

Compared with similar jobs

This base pay is above the median for staff product management jobs in the Bay Area.

Median: $230K a year
Other jobs in the group: 192

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: San Francisco, CA (Hybrid) +1
Work type: Hybrid
Level: Staff
Experience: 8+ years
Skills in the job text: Python
Posted: Sep 14, 2026
Last check: 6 h ago
Job type: Product management

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Snorkel AI

Open tech jobs: 23
With posted pay: 96%
Median posted base: $208K–$318K

About Snorkel AI: funding, hiring and pay

Snorkel AI

About Snorkel AI: funding, hiring and pay

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The role

What you need

4-6 years of experience shaping technical roadmaps and working with researchers as stakeholders
Comfort with ambiguity and working with multiple technical and non-technical stakeholders
Experience working in fast-paced environments, setting up 0→1 products
AI and ML fluency, especially related to Frontier Agentic Workflows and RL Environments
8+ years in product management, including 3+ years at senior/staff level owning a roadmap end-to-end (or 6+ years with a PhD/research background in ML)
Demonstrated ownership of a technical product where data itself was the deliverable — datasets, benchmarks, evals, annotation pipelines, or labeled corpora sold or shipped to external consumers
Working fluency in modern LLM post-training: SFT, preference data (RLHF/RLAIF), RLVR, reward modeling, and how data composition affects model capability. Must be able to hold a substantive conversation with a research scientist without an interpreter
Familiarity with agentic systems and the current agentic eval landscape (e.g. SWE-bench-style coding evals, terminal/computer-use benchmarks, tool-use and long-horizon task evaluation) and an informed view on where they fall short
Track record building product frameworks from zero — prioritization models, roadmap artifacts, intake processes — in an environment with no existing playbook
Experience operating across research, GTM, and operations simultaneously, with evidence of driving decisions through influence rather than authority
Direct customer-facing experience with highly technical buyers; ability to run a discovery conversation with an ML researcher or post-training lead and convert it into a roadmap commitment
Quantitative rigor: can size a market, model unit economics of a data program (cost per trajectory/task/environment), and defend prioritization with numbers
Strong technical foundation – comfortable reading research papers, discussing training dynamics with scientists, and reasoning about data pipelines end-to-end.
Ability to write clearly for two audiences at once — internal research/ops and external frontier lab stakeholders
Excellent analytical instincts – able to define success metrics for products that live close to research, where outcomes are often indirect.

Staff Product Manager - Data Products

The role

Staff Product Manager - Data Products

The role

What you will do

What you need

Nice to have

Be Your Best at Snorkel

Pay and benefits

About Snorkel AI

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