Product Manager - AI Video

Netflix Netflix · Big Tech · Los Angeles, CA +2 · Product Management

Product Manager for AI Video at Netflix, focusing on capabilities from pitch to post-production. Drives AI/ML product strategy, translating creative needs into technical requirements and collaborating with R&D and engineering to deploy AI models for video production.

What you'd actually do

  1. Own the vision, strategy, and execution of product-led research and the deployment of AI/ML powered video capabilities within the content production and studio domain.
  2. Lead deep discovery to uncover the bottlenecks of creatives and production teams that can be solved with novel AI/ML solutions. Balance immediate partner requests with long-term investments, prioritizing durable impact and synthesizing signals into strategic roadmaps.
  3. Act as the voice of creative stakeholders within the R&D organization. Translate user needs into precise technical requirements and product specifications, ensuring novel AI capabilities become impactful, scalable cinematic tools.
  4. Collaborate with research and engineering teams to influence the development of AI models, from the initial training data strategy through training and production deployment.
  5. Partner with ML infrastructure teams to forecast, allocate, and manage compute budgets. Make critical prioritization decisions on training and inference runs.

Skills

Required

  • Product Management experience
  • technical understanding of AI/ML/CV
  • experience in creative production processes
  • exceptional stakeholder management skills
  • Deep empathy and/or demonstrated experience working directly with creatives
  • Strong technical fluency
  • Proven ability to define product strategy and lead multi-quarter initiatives
  • Exceptional stakeholder management skills
  • Self-directed leader who thrives in ambiguity

Nice to have

  • Previous experience with creative tool ecosystems

What the JD emphasized

  • track record of working closely with R&D teams to turn novel research into scaled products
  • Strong technical fluency; comfortable discussing the details of AI models, architecture, data requirements, training, finetuning, inference, and performance considerations
  • proven ability to define product strategy and lead multi-quarter initiatives in highly technical, cross-functional environments

Other signals

  • AI/ML powered video capabilities
  • transform novel model capabilities into intuitive workflows
  • amplify artist creativity and efficiency