Technical Program Manager 5 - Studio Production Engineering

Netflix Netflix · Big Tech · Los Angeles, CA +1 · Engineering Operations

Technical Program Manager for Netflix's Studio Production Engineering team, focusing on driving cross-functional programs related to studio infrastructure and Generative AI/ML platforms. The role involves leading programs for foundational studio infrastructure, integrating third-party software, and scoping/leading Generative AI/ML initiatives, including productionizing new AI platform capabilities and accessing LLM APIs. Requires strong collaboration with product, engineering, and data science to execute strategic technology programs.

What you'd actually do

  1. Lead multiple complex, cross-functional technical programs focused on foundational studio infrastructure, including hardware provisioning (workstations, render nodes), cloud tenant setup (compute, storage, network), and large-scale data migration initiatives.
  2. Provide deep domain expertise to form technical strategies for migrating and modernizing studio production environments, including large datasets across various storage and cloud solutions.
  3. Drive and manage the technical integration of third-party creative and infrastructure software onto Netflix's corporate platforms.
  4. Scope and lead the execution of Generative AI/ML initiatives, working with engineering and data science partners to identify high-value use cases and productionize new AI platform capabilities, such as access to advanced LLM/ APIs.
  5. Drive engagement with cross-functional partners, work to decompose requirements into technical execution plans with measurable milestones, effectively optimize scope and schedule, manage cross-functional dependencies, and proactively manage risks, particularly around Day 1 readiness for complex tech integrations.

Skills

Required

  • 7+ years of technical program management experience
  • domain experience in Studio Technology Infrastructure, Media Production Pipelines, or Generative AI/Machine Learning Platform delivery
  • driving large-scale software and infrastructure projects
  • managing the definition of technical strategies
  • building long-term scalable solutions
  • Deep understanding and point of view on the application of Generative AI/ML to creative and production workflows
  • orchestrating multiple programs with many moving parts
  • creating partnerships with cross-functional teams
  • identify gaps in solutions
  • debate technical approaches
  • weigh in on product vs. technology tradeoffs
  • Excellent written and verbal communication skills
  • articulate business impact and technical constraints tailored to the audience
  • Self-starter who enjoys tackling 0 to 1 problem spaces
  • quickly bringing organization and direction

Nice to have

  • managed programs involving large-scale data migration
  • cloud infrastructure (AWS, CoreWeave, GCP)
  • high-performance computing/rendering environments

What the JD emphasized

  • Generative AI/ML platforms
  • Generative AI/ML initiatives
  • application of Generative AI/ML to creative and production workflows
  • access to advanced LLM/ APIs

Other signals

  • productionize new AI platform capabilities
  • access to advanced LLM/ APIs
  • Generative AI/ML platforms
  • application of Generative AI/ML to creative and production workflows