Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Our Team

Content Promotion & Distribution (CPD) sits at the intersection of the consumer experience and the Netflix Studio. Our team is integral to making the Netflix experience feel personal and relevant by developing innovative approaches to how we catalog, promote, localize, and distribute content.

You'll be instrumental in shaping the future of our supply chain and content distribution, leveraging generative AI to automate complex workflows, and creating entirely new products and experiences. If you're passionate about building AI-first applications and want to make a lasting impact on how Netflix creates and promotes content, we'd love to talk with you.

What you will do

• Cultivate the technical vision by identifying opportunities and solving complex business problems within the content product ecosystem
• Lead re-architecture of content product ecosystem, driving engineering vision and development of new AI-native products and automated pipelines to simplify workflows
• Lead, coach, and collaborate with engineers, product managers, and researchers to transform AI models into products that evolve our supply chain, reimagine content distribution, and positively change our ways of working.
• Take new products and features from 0 to 1, addressing challenges posed by the substantial growth in media assets for new content formats, including mobile and licensed content.
• Rapidly prototype new capabilities and iterate based on evaluation results.
• Optimize software performance and ensure reliability of deployed AI-native applications, accounting for feedback loops, observability, and telemetry.

What we are looking for

• Proven experience in architecting and productizing scaled, end-to-end solutions using machine learning. You have a practical, hands-on approach, quickly leveraging open-source and internal models (LLMs, agentic systems) to prototype solutions and provide concrete feedback to research partners.
• Technical leadership with a strategic, hands-on approach to architecting complex systems and leading projects from start to finish.
• Ability to drive problems end-to-end; willing to acquire knowledge missing to achieve results
• Exceptional communication and collaboration skills, with a demonstrated ability to influence and align cross-functional teams.
• A passion for innovation and a relentless desire to push the boundaries of what's possible.
• Strong judgment and a bias for action in a fast-paced, dynamic environment.
• Nice to have: An advanced degree (MS or PhD) in Computer Science or a related field; experience in the media technology domain (e.g., content processing, creative tools); proficiency with ML frameworks and operations like TensorFlow, PyTorch, or Metaflow.

Our culture is unique, and we live by our values, so it's worth learning more about Netflix culture .

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, location, and experience to determine your compensation in the market range. The range for this role is $310,000 - $1,870,000.

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.