Staff Product Manager (Infrastructure, Data & Security)

TL;DR

Staff Product Manager (Infrastructure, Data & Security): Leading the roadmap and execution for internal platforms, data infrastructure, and security systems with an accent on translating business and compliance requirements into technical investments. Focus on optimizing developer experience, ensuring SOC 2 and FedRAMP compliance, and driving the adoption of shared infrastructure services across engineering teams.

Location: Hybrid in Redwood City, CA or San Francisco, CA

Salary: $240,000 - $300,000 USD

Company

Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale through a data-centric approach.

What you will do

• Own the roadmap and execution for the Infrastructure organization, including Core Services, Developer Experience, and Security pods.
• Translate business scaling, security, and compliance requirements (SOC 2, FedRAMP, GDPR) into concrete, prioritized engineering projects.
• Act as the primary interface between the Infrastructure org and internal consumers, such as product engineering and data science teams.
• Drive the adoption and internal evangelism of shared libraries, SDKs, and infrastructure services to prevent one-off solutions.
• Coordinate high-impact cross-functional initiatives, including unified data access libraries and Auth0 migration.
• Define and track key infrastructure metrics, including query latency, pipeline duration, and cost efficiency.

Requirements

• 7+ years of product management experience, with at least 2 years in infrastructure, platform, or developer tools.
• Strong technical fluency in event buses, CDC lag, RBAC, and general system architecture.
• Proven experience implementing compliance and security frameworks such as SOC 2 or FedRAMP.
• Ability to manage extreme ambiguity and prioritize ruthlessly across multiple technical domains.
• Experience working with small, high-leverage engineering teams.
• Must be based in or able to work hybrid in Redwood City or San Francisco, CA.

Nice to have

• 3+ years focused on ML/AI products, MLOps, or data systems.
• Experience with LLMs, agent-based systems, reinforcement learning, or synthetic data generation.
• Educational background in Computer Science, Security, or a related technical field.
• Fluency with AI-assisted workflows (e.g., Claude Code, Cursor).

Culture & Benefits

• Combination of stability (robust funding) and high growth (rapidly scaling).
• Significant opportunity to shape strategic priorities and influence key product decisions.
• Strong support for career development and deepening technical expertise.
• Inclusive environment as an Equal Employment Opportunity employer.