MLOps Engineer designing and maintaining cloud infrastructure for large - scale computer vision model training. Collaborating with Data Scientists and AI Engineers to streamline model development lifecycle.
About the role
- Product Manager responsible for building foundational technology for Netflix Ads. Leading the development of composable machine learning infrastructure across product teams with a focus on user experience.
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
Requirements
- 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
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