Product Manager, Trusted Execution Environments (Ads Platform)

Netflix • Los Angeles, CA

2d

About The Position

This PM will be responsible for building a new foundational technology that connects systems across Netflix Ads. We are seeking a visionary to lead the development and management of our Trusted Execution Environment (TEE) infrastructure for Ads. This role enables confidential compute for sensitive, multi-party workloads (especially where Netflix and partner data must be jointly processed) while preserving privacy, integrity, and auditability.
This means building for other builders; laying the foundations for our stunning colleagues across engineering, product, data science, measurement, audience, identity, and ad serving. TEEs will work hand-in-hand with our Data Clean Room infrastructure; leveraging both to deliver privacy-preserving joins and computation with verifiable assurances.

Requirements

• Experience: 10+ years of Product Management/Engineering experience with a proven track record of launching and scaling foundational, security-critical platforms; experience in confidential computing or privacy-preserving technologies. Experience in advertising technology or data products is a strong plus, especially where handling sensitive advertiser/partner/member data is required.
• Domain Awareness: Familiarity with advertising data workflows and controls across publishers, advertisers, and measurement partners. e.g., data minimization, purpose limitation, data retention policies, seeded audience joins, measurement signal handling, and contractual/usage constraints. Publisher-side experience preferred; demand-side experience also valuable.
• Visionary Leadership: Ability to deliver a comprehensive roadmap and vision for TEE-backed, multi-party compute that supports diverse internal teams and external partners.
• Technical Acumen: Deep understanding of TEEs and adjacent privacy tech (e.g., AWS Nitro Enclaves, GCP Confidential Computing, Azure SEV-SNP; knowledge of SGX/SEV/ARM CCA helpful), secure software supply chain (signed artifacts, SBOMs), attestation, key management, and encrypted data-in-use.
• Adversarial Mindset: Familiarity with the adversarial nature of partner integrations and the controls required to mitigate misuse in advertising contexts (e.g., inference attacks, data leakage, cross-tenant contamination, reconstruction risks); strong instincts for auditability and evidence.
• Domain Awareness: Knowledge of advertising-oriented data workflows; publisher-side experience preferred, demand-side experience also valuable.
• Collaborative Skills: Proven experience working with cross-functional teams, including Security, Privacy, Legal, Data Science, Engineering, and external partner technology/security teams.
• Regulatory Knowledge: Familiarity with legal compliance and the evolving landscape of data privacy and advertising regulations worldwide.

Responsibilities

• Define and drive the product vision and roadmap for Ads TEE Infrastructure, making privacy-preserving compute accessible to internal teams and repeatable across partners.
• Deliver a platform (APIs, SDKs, templates) that supports attested, encrypted-in-use computation for common Ads workloads without bespoke engineering for each integration.
• Partner closely with Data Clean Room infrastructure to design complementary flows where data preparation and governance occur in Clean Rooms and sensitive realtime computation/inference executes in TEEs.
• Collaborate with Security, Privacy, Legal, and partner technology teams to establish joint execution protocols, attestations, and evidence capture that meet contractual and regulatory requirements.
• Provide first-class developer experience: job templates, declarative specs, workflow integration, observability, and clear guidance on cost-to-assurance tradeoffs and performance tuning.
• Integrate with core data and compute planes (e.g., Snowflake, S3/GCS, Kafka, Spark/Flink) with robust identity, RBAC/ABAC, per-tenant isolation, and secure IO patterns.
• Define and track success metrics such as number of secure jobs executed, time-to-attest, partner adoption, and evidence quality; iterate quickly based on data and feedback.
• Serve as connective tissue across Ads Data Science, Measurement, Audience, Identity, Ad Serving/Decisioning, and Partner Solutions to unblock high-impact use cases.

Benefits

• Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.
• See more detail about our Benefits here.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees