AI Product Manager, Content Platform Operations & Publishing
NetflixLos Gatos,California,United States of AmericaPosted 25 February 2026
Tech Stack
Job Description
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.
Location
Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los Angeles is required.
The Team
The Content Platform Operations & Publishing (CPOP) team sits at the intersection of AI and machine learning, the consumer experience and the Netflix Studio. We are an integral part of making the Netflix experience feel personal and relevant by developing innovative approaches to how we promote, localize, and distribute our content. Our products impact both our members and the content creators, linguists, editors and executives who make our shows and films possible.
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 content platform and publishing tools enabling hyper-personalized and contextually relevant experiences for global audiences.
Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality promotional assets, supporting our rapidly expanding content catalog.
Identify and implement novel AI-driven solutions to complex challenges in content distribution, asset management, and language experiences, 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.
6 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, m ... (truncated, view full listing at source)
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