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Product Manager - GenAI

Netflix
USA - Remote, United States, United StatesRemotefull_timeVerifiedPosted 23 Sept 2025
💰 $700,000/yr($240,000/yr$700,000/yr)

About the role

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.

About the Role:

We are looking for a Product Manager to join our Productivity Assistant team. This role will play a pivotal part in shaping and executing the roadmap for our generative AI solutions designed to enhance personal, team, and organizational productivity across Netflix. You’ll partner closely with engineering, design, and cross-functional stakeholders to build intuitive, scalable solutions that empower employees—from individual contributors to teams and business units—to work smarter, faster, and more creatively.

This is a high-impact role for someone who thrives in fast-paced, cross-functional environments and is excited to work hands-on with cutting-edge AI capabilities. You'll guide products from vision to execution, champion user-centric development, and ensure our Productivity Assistant delivers measurable value at scale.

About You:

You are curious and creative, with experience building enterprise generative AI and AI agents solutions. You have a keen eye for design, are highly adaptable, and become more inventive when faced with constraints or ambiguity. You love solving problems and excel at driving clarity to build optimal products.

You are biased toward execution and can lead cross-functional teams to bring projects from concept to launch, doing everything necessary to ensure successful delivery. You are data-driven, with a sharp ability to use data to uncover business opportunities. You have a can-do attitude, communicate with confidence and clarity, and welcome candid feedback. You’re comfortable working with engineers, end users, and executives alike—and know how to tailor your message for each audience effectively.


Responsibilities:

  • Develop and own the product strategy, roadmap, and execution for core productivity assistant experience.

  • Build a deep understanding of the needs of Netflix’s workforce and operational domains through research, data analysis, and close collaboration with internal partners.

  • Experiment with and optimize prompt engineering, interaction models, and conversational interfaces to create delightful, reliable experiences.

  • Partner closely with engineering and design teams to deliver high-quality product experiences and solutions on time and at scale.

  • Monitor product performance, adoption, and engagement and qualitative feedback to improve continuously.

  • Stay current on market trends in GenAI space and bring new thinking into our product approach.

  • Have a deep understanding and empathy for customer needs, using user research and creative feedback mechanisms to validate product hypotheses and optimal product solutions.

  • Ensure GenAI solutions are developed and deployed in alignment with Netflix’s values around safety, fairness, and transparency. Collaborate with legal, privacy, and ethics teams to mitigate risk and ensure compliance.


Requirements:

  • Bachelor’s degree.

  • 6+ years of product management experience with a strong track record in enterprise applications.

  • Solid foundational understanding of machine learning concepts and terminology (e.g., model training, fine-tuning, embeddings, evaluation metrics).

  • Experience leading internal change management and enablement efforts to support the adoption of new AI technologies.

  • Proven experience building and launching generative AI solutions.

  • Comfortable collaborating closely with engineering teams and making informed trade-offs based on technical constraints and business impact.

  • Ability to think strategically and envision scalable platforms, while also diving deep into edge cases, architectural decisions, and implementation details.

  • Highly self-directed and effective in decentralized, fast-paced environments.

  • Deep empathy for internal users and a knack for translating complex business needs into elegant, usable product experiences.

  • Demonstrated ownership across the full product lifecycle: requirements gathering, technical development, testing, launch, user training, and rollout.

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Company

Netflix

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