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Snorkel AI, located in San Francisco, is seeking a Technical Product Manager to lead the roadmap for internal platforms and data infrastructure within the Infrastructure organization.
The role focuses on stakeholder management, compliance translation, and driving adoption of services. Ideal candidates will have significant product management experience and a strong technical background, with a salary range of $240,000 - $300,000.
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel began as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. One constant remains: the data you use to build AI is the key to achieving differentiation, high performance, and production‑ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
We are looking for a Technical Product Manager to own the roadmap and execution across Snorkel AI’s Infrastructure organization, spanning three engineering pods: Core Services, Developer Experience, and Security. This is a behind‑the‑scenes product role; you will be the PM for internal platforms, data infrastructure, and security systems that the rest of engineering and the business depend on. You will coordinate across a broad surface area that currently lacks dedicated product leadership.
Develop a deep understanding of Snorkel AI’s business, how the datasets are sold, and how the platform should be deployed, scaled, and supported for customers across AI labs, enterprise, and federal contexts. Translate this context into prioritized infrastructure projects and go‑to‑market requirements 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.
Serve as the interface between the Infrastructure org and its consumers: product engineering teams, data science and analytics teams, GTM and customer success teams. Translate 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 use infrastructure services, SDKs, and shared libraries. Track adoption metrics, SDK integration coverage, service onboarding rates, migration completions, and identify lagging teams to drive adoption or feed unmet requirements back into the roadmap.
Drive initiatives that span multiple pods, such as the unified data access library, coordinate the event bus rollout, and 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. Provide regular reporting to VP‑level leadership on infrastructure org health, delivery status, and risk areas.
Partner with Core Services on cost visibility, attribution, and optimization. Own the narrative around infrastructure spend, drive decisions on reserved capacity, right‑sizing, and cost allocation by team and product. Manage inference cost as a cross‑functional concern affecting both infrastructure and product economics.
$240,000 — $300,000 USD
Joining Snorkel AI means becoming part of a company with market‑proven solutions, robust funding, and rapid scaling. You’ll shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen technical expertise, pursue leadership opportunities, or learn new skills across multiple functions, you’ll be fully supported to build your career in a growth‑oriented environment.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.