Product Manager, Machine Learning Architecture (Ads Platform) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Netflix · 1 day ago

Product Manager, Machine Learning Architecture (Ads Platform)

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. They are looking for a Product Manager in the advertising space who will be responsible for building a new foundational technology that connects systems across Netflix Ads, focusing on developing and managing their composable machine learning infrastructure.

Digital EntertainmentMedia and EntertainmentTVVideo Streaming
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Define and own the end-to-end product vision for a shared ML architecture that spans every Netflix Ad Suite surface
Deliver a platform (APIs, SDKs, UI) that our product teams can plug into without reinventing infrastructure
Establish governance, privacy, and safety standards working closely with Legal, and Privacy to prevent 'patchy ML' and ensure responsible outcomes
Partner with Experience Design to invent next-gen workflows and agents that dramatically reduce task time and eliminate repetitive context switching
Serve as the connective tissue across PMs in targeting, creatives, reporting, insights, and more; aligning roadmaps and eliminating duplicative work
Integrate third-party applications and so that customers can interface with Netflix Ad Suite through systems they already know
Define and track success metrics such as workflow time reductions, platform adoption, and partner satisfaction, iterating quickly based on data and feedback
You will orchestrate both the strategy and the shared platform that deliver uniform, intuitive, and high-impact experiences for every stakeholder

Qualification

Product ManagementMachine LearningTechnical AcumenRegulatory KnowledgeCross-functional Collaboration

Required

10+ years of Product Management experience with a proven track record of launching and scaling foundational tech infrastructures
Ability to deliver a comprehensive roadmap and vision for the future of machine learning supported workflows, catering to varied customer groups
Deep understanding of the software and components that powers modern advertising, and machine learning
Proven experience working with cross-functional teams, including operations teams, design, engineering, data foundations, privacy, legal, and external technology providers
Familiarity with legal compliance and the evolving landscape of data privacy regulations worldwide

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
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

Company

Netflix is an online streaming platform that enables users to watch TV shows and movies.

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)

Funding

Current Stage
Public Company
Total Funding
$63.91B
Key Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M

Leadership Team

leader-logo
Gregory Peters
Co-CEO
linkedin
leader-logo
Ted Sarandos
Co-CEO
linkedin
Company data provided by crunchbase