Product Manager, Localization
Netflix Los Gatos, California, United States · $310K–$545K/yr
Entertainment Providers · 10,001+ employees
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About the role
The Product Manager will lead AI-driven strategic initiatives to integrate machine learning into localization tools and content operations. They are responsible for building product roadmaps, collaborating with cross-functional teams, and translating complex technical requirements into scalable, user-centric solutions.
What they look for
Requirements
Candidates must have at least 5 years of product management experience with a proven track record of launching AI or machine learning-enabled products. Strong analytical skills, experience with the ML lifecycle, and excellent communication abilities are required to effectively lead initiatives and engage with stakeholders.
Benefits
Full description
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.
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