Netflix Logo

Netflix

Product Manager - Localization Innovation

Posted 8 Days Ago
Remote
Hiring Remotely in USA
310K-545K Annually
Senior level
Remote
Hiring Remotely in USA
310K-545K Annually
Senior level
Lead AI-driven localization product initiatives from concept through production. Build strategic roadmaps, incubate machine-learning capabilities, partner with researchers and engineers, and deliver scalable tools for creators and content operations. Translate user needs into impactful products, communicate strategy to executives and nontechnical stakeholders, and use data, experimentation, and ML evaluation to prioritize work and measure outcomes.
The summary above was generated by AI

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.

HQ

Netflix Los Gatos, California, USA Office

100 Winchester Circle, Los Gatos, CA, United States

Netflix San Jose, California, USA Office

San Jose, United States, 0

Netflix Santa Clara, California, USA Office

Santa Clara, United States, 0

Similar Jobs

54 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
168K-238K Annually
Senior level
168K-238K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript
54 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
203K-275K Annually
Expert/Leader
203K-275K Annually
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.
Top Skills: Ai FrameworksDevsecopsDuo Agent PlatformGitlabGitlab Duo ChatGoPythonRubyRustTypescript
An Hour Ago
In-Office or Remote
United States
139K-232K Annually
Senior level
139K-232K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads regional activation of oncology patient advocacy partnerships and educational programs. Delivers or coordinates disease-state education, connects patients and caregivers with appropriate resources, manages sponsorships, budgets, events, and project plans, and reports insights and measurable outcomes. Collaborates across Pfizer teams, ensures compliance with CP208 and applicable regulations, strengthens advocacy relationships, and develops solutions supporting patient engagement and unmet patient needs. This field-based role requires substantial travel, occasional evening and weekend work, and operation of a company vehicle.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account