Netflix

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. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix continues to invest in AI throughout the company for a variety of use cases, from personalized recommendations for members to optimizing workflows and operations. The ML Platform Product team was created to support ML practitioners in developing and deploying cutting-edge AI experiences.

We are looking for a highly technical Product Manager with demonstrated excellence in delivering platforms that enhance data scientists’ productivity. You’ll own the complete story of how machine learning datasets - including features , labels, and embeddings - get produced and consumed throughout the ML lifecycle. You’ll drive the vision and goals for Netflix’s feature store to facilitate feature sharing and efficient data representation management, enabling algorithms affecting millions of Netflix members. You will also be instrumental in developing and refining data labeling tools and processes. Furthermore, you will own ML dataset management, encompassing organization, discoverability, and storage to ensure efficiency, reliability, and quality. Finally, you’ll own the cross-team initiatives for how we adapt Netflix’s robust data + ML tooling to the evolving challenges posed by AI development.

Excellent candidates have deep experience in product management for AI/ML platforms. They have strong empathy for ML practitioners, with a clear understanding of typical ML journeys. They are familiar with the full technology stack supporting ML training, from cloud computing to ML frameworks to orchestration systems. The best candidates demonstrate initiative, especially in ambiguous areas with unclear ownership. They’ll already have strong communication skills and a proven ability to align different teams to drive initiatives with a high degree of clarity and speed.

Primary responsibilities:

• Build a vision for the flow of data into ML models at Netflix, from data acquisition to labeling to productionization
• Define goals and standards for critical services like feature store
• Drive execution and adoption of the ML Platform data tools across various roles, like data engineers and data scientists, and assorted groups, like consumer-facing or studio-supporting groups
• Engage a broad set of customers to collect and clearly document requirements. Prioritize roadmaps to meet these needs.
• Forge partnerships with other platform teams working on data & developer products. Advance a cross-team vision to accelerate ML development at Netflix
• Establish and follow through on regular measurement of success metrics like adoption and developer productivity
• Own regular communication to senior Netflix management as well as broad communication to ML practitioners at Netflix

Skills and Qualifications:

• 10+ years of experience in technical product management
• Deep understanding of ML / AI development tools, from cloud computing (AWS, Azure, GCP, etc.) to ML frameworks (PyTorch, Tensorflow, etc.) to orchestration systems (Kubeflow Pipelines, Metaflow, etc.)
• Extensive experience working and innovating on ML/AI platforms
• Knowledge and experience in defining, measuring, and improving developer productivity
• Strategic thinking and ability to craft and drive a vision for maximum positive business impact
• Demonstrated initiative in clarifying ambiguous projects and driving them to completion
• Demonstrated leadership experience working effectively with engineers, data scientists and ML practitioners
• Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact.
• Experience in identifying tradeoffs, surfacing needs for clarity, and driving decision-making

Location: This role is based in our Los Gatos offices in a hybrid remote model. This role has the option to be based remotely on the West Coast. Travel will be required for this role.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $240,000 - $725,000.

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.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. 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.