Product Manager, Trusted Execution Environments (Ads Platform)

Netflix; Los Gatos (CA); On-site; USD 120,000 - 515,000; Full time

Benefits offered by this job

Health plans

401(k) retirement plan with employer match

Flexible spending accounts

Paid time off

Job summary

A leading media streaming company seeks a Product Manager for their Ads Platform. This role focuses on managing the development of Trusted Execution Environment (TEE) infrastructure, facilitating privacy-preserving technologies. The ideal candidate should have over 10 years of extensive product management experience, combining technical knowledge with strong leadership abilities to drive secure, scalable advertising solutions. The position offers substantial compensation and benefits, emphasizing health, retirement plans, and paid time off.

Qualifications

• 10+ years of experience in Product Management or Engineering.
• Proven track record in launching security-critical platforms.
• Familiarity with advertising data workflows and controls.

Responsibilities

• Define and drive product vision and roadmap for Ads TEE Infrastructure.
• Deliver a platform supporting encrypted-in-use computation.
• Collaborate with cross-functional teams for execution protocols.

Skills

Product Management

Confidential computing

Security-critical platforms

Collaborative Skills

Visionary Leadership

Job description

Product Manager, Trusted Execution Environments (Ads Platform)

Join Netflix as a Product Manager in the Ads Platform team, focused on building the next generation of advertising systems with privacy‑preserving technology.

About the Role

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 while preserving privacy, integrity, and auditability.

This PM Will

• 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.

We’re Seeking a Candidate Who Has

• 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.
• 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 (duplicate): 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.

Compensation & Benefits

Netflix provides an annual salary ranging from $120k to $515k. The compensation structure includes salary and stock options. Benefits include health plans, mental health support, a 401(k) retirement plan with employer match, a stock option program, disability programs, health savings and flexible spending accounts, family‑forming benefits, and life/serious injury benefits. Full‑time employees accrue paid time off.

EEO Statement

We are an equal‑opportunity employer and celebrate diversity. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.