Staff Product Manager - Infrastructure, Data & Security

About the role

The Infrastructure org owns the data platform, event systems, observability, developer tooling, release pipelines, and the full security stack. The engineering leadership and pod leads are very technical but the org needs a PM who can translate business and compliance requirements into prioritized infrastructure investments, manage dependencies across pods and partner teams, and hold the line on scope and delivery timelines.

Responsibilities

• Develop a deep understanding of Snorkel AI's business, how the datasets are sold, and how should the platform be deployed, and scaled to support customers across AI labs, enterprise and federal and use that context to work closely with engineering leaders and product PMs to translate business scaling, security and functional needs into deployment patterns, and go-to-market requirements into concrete, prioritized projects for the Infrastructure org.
• Work with engineering leads to define quarterly roadmaps for Core Services (data platform, metrics platform, event systems, observability, fraud detection, infrastructure cost management, platform customization infrastructure, SDS project infrastructure), Developer Experience (CI/CD, release pipelines, dev systems, AI dev tooling), and Security (Auth0 migration, AuthN/AuthZ, cloud security, encryption).
• Make trade-off decisions when pods compete for shared resources or when new asks land mid-quarter. The org carries significant surface area relative to headcount. Your job is to ensure the team is working on the highest-leverage problems, not just the loudest requests.
• Translate customer compliance requirements (SOC 2, FedRAMP, GDPR) into concrete security and data governance work items with clear acceptance criteria.
• Proactively engage product PMs and engineering leads to ensure teams are leveraging infrastructure services, SDKs, and shared libraries (unified data access, event bus, security SDKs, CI/CD tooling) rather than building one-off solutions.
• Drive initiatives that span multiple pods, such as the unified data access library (which touches Core Services for the library itself, Security for auth/RBAC/encryption enforcement, and Developer Experience for SDK distribution and testing tooling).
• Own the Auth0 migration program as a cross-functional deliverable that touches Security, Core Services, and every API team.
• Define and track key metrics across pods: data platform query latency, event bus propagation latency, CI pipeline duration, release rollback rate, security finding remediation time, encryption coverage, infrastructure cost per workload.
• Partner with Core Services on infrastructure cost visibility, attribution, and optimization. Own the narrative around infrastructure spend not just tracking it, but driving decisions on reserved capacity, right-sizing, and cost allocation by team and product.
• Ensure the work doesn't just ship, it lands by maintaining a clear view of staffing gaps and making the case for headcount investments backed by roadmap impact.

Requirements

• 7+ years of product management experience, with at least 2 years in infrastructure, platform, or developer tools PM roles. You have shipped internal platforms or infrastructure products, not just customer-facing features.
• Strong technical fluency. You don't need to write Terraform modules, but you need to understand what an event bus is, why CDC lag matters, what RBAC enforcement means at the data layer, and why audit logs shouldn't live in the production database. You can hold your own in architecture discussions and push back on technical proposals with substance, not just process.
• Experience with compliance and security programs. You have worked on SOC 2, FedRAMP, or similar compliance frameworks and understand how to translate audit requirements into engineering work items. You know the difference between checking a box and actually being secure.
• Comfort with ambiguity and breadth. This role covers platform infrastructure, data infrastructure, developer tooling, and security, three domains that each could be a full-time PM role at a larger company. You are comfortable context-switching, prioritizing ruthlessly, and saying no to work that doesn't clear the bar.
• Experience working with small, high-leverage engineering teams. You understand that with small teams, every quarter's roadmap is a zero-sum game, and your job is to make sure the bets are right.
• Fluency with AI-assisted workflows is a plus. The org treats AI tooling (Claude Code, Cursor) as a baseline expectation for engineers; a PM who understands and can evaluate these tools' impact on developer productivity will be more effective in this role.

Qualifications

• 7+ years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, Platform infrastructure or data systems products.
• Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, or automated workforce/task routing platforms.
• Familiarity with LLMs, LLM Evaluations, human-in-the-loop systems, and synthetic data generation.
• Background in Computer Science, Security or related technical field.
• Demonstrated ability to lead large, cross-team initiatives without formal authority.

Benefits

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$220,000 - $280,000 USD