At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Team Overview
Netflix's catalog spans an enormous and growing range of titles, sources, formats, and regional variations. Making that catalog understandable and usable requires foundational systems that can group, tag, and reason about content at scale. Our team builds and owns those foundational capabilities: the shared understanding of "what is in the catalog" that dozens of downstream teams depend on.
Role Overview
We're seeking a Product Manager to lead our catalog understanding and tooling foundations work. As Netflix's content sources, regional availability, and licensing arrangements grow more complex, the tools and systems that let internal teams group and act on the catalog need to scale and adapt with it.
Your focus will be on leading the product strategy for foundational catalog understanding and management capabilities. Working closely with internal stakeholders across Netflix, you’ll help ensure that related tools and systems work together in a coherent way, support the evolution of complex workflows that have grown over time, and incubate early AI-powered capabilities that could reshape how teams interact with the catalog. Partnering with engineering and applied science, you’ll test new approaches with real users and guide them toward broader impact.
Who Will Be Successful in This Role
To be successful in this position, you will partner with world-class teams across engineering, applied science, and a wide range of internal product customers, flexing both your analytical rigor and your ability to empathize with users who all interact with the catalog differently.
The following attributes are highly valued on our team:
- Ability to develop a long-term vision for foundational cataloging capabilities while executing on immediate, concrete priorities.
- Comfort with complex systems and data models, and understanding how they interact to create scalable solutions.
- Skill in gathering requirements across many teams with different (sometimes conflicting) needs, and synthesizing them into a coherent roadmap.
- Excellence in using data to inform product decisions, balancing technical constraints against business goals.
- Ability to synthesize the complex into the simple and persuasive, and tell compelling stories with data.
- Judgment to know when to modernize and simplify an existing system versus building something new.
- Comfort defining and running early-stage rollouts with real users, including setting success criteria and adjusting based on feedback.
- Good balance between being collaborative and open to alternative views vs. decisive and clear in communicating a vision for the team.
- An eagerness to seek feedback and improve.
Skills and Experience
- 7+ years of product management experience, with a track record of owning complex, foundational, or platform-level products used by internal or B2B customers.
- Experience building products on top of taxonomies, ontologies, or structured data models, and defining principles for what belongs in structured vs. unstructured systems.
- Demonstrated success modernizing or simplifying a legacy system that had grown in scope without a clear design vision.
- Proven ability to define, launch, and measure early-stage (MVP) rollouts of new capabilities with internal stakeholder teams.
- Demonstrated leadership working effectively with engineers, applied scientists, and cross-functional stakeholders across many teams.
- Excellent written and verbal communication skills, with an ability to present technical, ambiguous problems clearly to both technical and non-technical audiences.
- Experience with AI/ML-powered products is a plus.
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 $310,000.00 - $545,000.00.
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 details 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.
Skills Required
- 7+ years of product management experience with a proven record of launching impactful products or platforms
- Intermediate or advanced knowledge of machine learning techniques and evaluation best practices
- Experience leading end-to-end products that incorporate ML/AI, including launching LLM integrations and customizing underlying models
- Experience with the ML lifecycle (data collection and labeling, model evaluation)
- Applied experience using data to inform priorities and evaluate impact
- Ability to mobilize an organization toward a common goal and build strong cross-functional relationships
- Excellent written and verbal communication skills
- Experience building internal tools, platforms for internal partners, or B2B enterprise products
- Experience with content metadata, catalog systems, or content understanding (e.g., NLP, LLM)
Netflix Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netflix and has not been reviewed or approved by Netflix.
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Fair & Transparent Compensation — Compensation is positioned as “personal top of market” with regular recalibration and broad posted ranges for senior roles that signal the philosophy. The cash‑forward structure and clearly described pay‑mix choices help set expectations on how pay is determined.
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Equity Value & Accessibility — Employees can choose the mix of cash versus fully vested 10‑year stock options, with grants structured to be retained even after departure. This employee‑directed design increases accessibility and control over equity participation.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, and mental health, with employer funding designed to offset premiums. Additional resources like counseling/coaching and wellness support reinforce breadth in care access.
Netflix Insights
What We Do
Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.









