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.
Netflix members watch more content localized than they do in the original language they speak. As Netflix continues to expand its global reach and invest in new content formats like Live and Games, localization is critical to ensuring our content travels and resonates with members. As we enter a new phase of Netflix’s growth, we are looking for a Product Manager who will lead new AI-driven strategic initiatives in how we localize the Netflix product and beyond.
We are seeking a Product Manager with strong understanding of machine learning and passion for AI innovation and technology to lead strategic initiatives that will transform our internal tools and content operations.
In this role, you will:
Drive the integration of state-of-the-art AI and machine learning models into our localization products enabling contextually relevant experiences for global audiences.
Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality language assets.
Identify and implement novel AI-driven solutions to complex challenges in language asset creation, ensuring our platform remains at the cutting edge of entertainment technology.
Partner with researchers, engineers, and stakeholders to translate the latest advancements in AI into scalable, user-centric products that empower both Netflix members and our creative partners.
If you thrive at the intersection of AI technology and entertainment, and are excited to shape the future of content operations through innovation, we’d love to hear from you!
Responsibilities include:
Build strategic roadmaps, taking product concepts from idea through validation, shipping, measurement, and iteration. You will author strategy memos and presentations to represent your team's work to senior executives.
Lead the incubation and system design of new Machine Learning or AI capabilities, from idea to production in partnership with applied researchers, data scientists, and engineers, and integrating these capabilities into our suite of tools.
Discover new needs that artists, creators and content executives have, distilling their needs into product roadmaps and delivering solutions that drive real business impact.
Communicate your vision and strategy broadly throughout the organization, presenting technical and complex information to non-technical audiences.
Use exceptional analytical and ML/AI evaluation skills and a rigorous, hypothesis-driven approach to inform priorities, build business cases, and measure impact.
What We’re Looking For
While no candidate will check every box, we are looking for a senior Product Manager with a proven track record of success.
5+ years of product management experience with a proven record of prioritizing and successfully launching impactful products or platforms.
Intermediate or advanced knowledge of Machine Learning techniques and evaluation best practices
Ability to mobilize an entire organization toward a common goal and build strong relationships across functions and geographies.
Previous experience in leading end-to-end products that incorporate Machine Learning and AI focused solutions, including experience launching AI-enabled products and perfecting/customizing underlying models.
Previous experience with the ML lifecycle (data collection and labeling, model evaluation, etc.).
Applied experience using data to inform priorities and evaluate impact.
Excellent written and verbal communication skills.
Experience building products for creative teams, internal partners, or B2B enterprise clients.
Experience with media supply chains, localization, or translation 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. This compensation range will vary based on location.
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.
Job is open for no less than 7 days and will be removed when the position is filled.
Skills Required
- 5+ years of product management experience with a record of prioritizing and launching impactful products or platforms
- Intermediate or advanced knowledge of machine learning techniques and evaluation best practices
- Ability to mobilize organizations toward common goals and build cross-functional relationships across geographies
- Experience leading end-to-end products incorporating machine learning and AI solutions
- Experience launching AI-enabled products and customizing or improving underlying models
- Experience with the machine learning lifecycle, including data collection, labeling, and model evaluation
- Applied experience using data to inform priorities and evaluate impact
- Excellent written and verbal communication skills
- Experience building products for creative teams, internal partners, or B2B enterprise clients
- Experience with media supply chains, localization, or translation
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.
-
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.
-
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.
-
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.








