Sr. Technical Program Manager, AI Studios

Amazon Amazon · Big Tech · Culver City, CA · Project/Program/Product Management--Technical

Sr. Technical Program Manager to drive the delivery of AI-powered production capabilities for Prime Video and Amazon MGM Studios. The role involves managing end-to-end delivery across Engineering, Product, Applied Science, UX, and creative production teams, translating production requirements into technical execution plans, managing dependencies, and ensuring delivery against ambitious milestones for an AI-native production platform called Nara.

What you'd actually do

  1. Drive program delivery for live action, VFX, and digital second unit productions. Translate creative production needs into execution plans with clear milestones, dependencies, and success criteria, making scope and sequencing trade-offs to protect critical path.
  2. Own release readiness for your production vertical. Ensure capabilities meet production-grade quality, stability, and workflow requirements before they reach creative partners.
  3. Partner with Engineering and Applied Science leads on technical trade-offs across AI/ML pipelines, media processing services, model integration, and creator-facing tooling. Evaluate technical proposals, drive architecture decisions that balance production timelines with platform durability, and assess emerging AI/ML capabilities for applicability to production workflows.
  4. Influence engineering investment decisions and org-level prioritization by synthesizing production learnings, platform gaps, and technology trends into actionable recommendations for leadership.
  5. Partner with Product to shape the roadmap based on production impact and strategic alignment, and translate priorities into executable delivery plans with clear ownership and timelines.

Skills

Required

  • 5+ years of technical program management working directly with software engineering teams experience
  • 7+ years of working directly

Nice to have

  • AI/ML pipelines
  • media processing services
  • model integration
  • creator-facing tooling
  • technical proposals
  • architecture decisions
  • emerging AI/ML capabilities
  • production workflows
  • engineering investment decisions
  • org-level prioritization
  • production learnings
  • platform gaps
  • technology trends
  • Product roadmap shaping
  • cross-team dependency management
  • resource coordination
  • program status communication
  • risk assessment
  • executive communication
  • stakeholder management
  • program success metrics definition
  • business review mechanisms
  • programmatic leadership mechanisms
  • repeatable frameworks

What the JD emphasized

  • accountable for whether Live Action and VFX production capabilities ship on time and meet the technical, science, and UX quality bar required by our creative partners
  • own end-to-end delivery
  • drive prioritization decisions
  • ensure delivery against ambitious milestones
  • high ownership, autonomy, broad cross-functional influence, and direct impact
  • production-grade quality, stability, and workflow requirements
  • technical trade-offs
  • production timelines
  • platform durability
  • emerging AI/ML capabilities
  • engineering investment decisions
  • org-level prioritization
  • production learnings
  • platform gaps
  • technology trends
  • actionable recommendations for leadership
  • production impact
  • strategic alignment
  • executable delivery plans
  • clear ownership and timelines
  • cross-team dependency management
  • resource coordination
  • multiple concurrent productions
  • Negotiate priorities
  • unblock teams
  • sequencing aligns capabilities to production milestone dates
  • Communicate program status, risks, and recommendations to senior leadership
  • Exceptional verbal and written communication is essential
  • author program narratives, decision documents, and status mechanisms that frame trade-offs clearly for executive audiences
  • Interface with creative production stakeholders
  • understand production needs
  • drive prioritization of platform investments based on production impact
  • close the feedback loop as capabilities land
  • Define and track program success metrics tied to creator adoption, production throughput, and platform reliability
  • Report on progress through business review mechanisms
  • Contribute to AI Studios programmatic leadership
  • design and operate the mechanisms (e.g., intake, triage, status reporting, roadmap tracking) that scale our organization as production concurrency grows
  • Build repeatable frameworks that enable teams to execute independently and reduce coordination overhead
  • high ownership
  • startup intensity
  • direct visibility to senior leadership
  • industry-defining product
  • real production stakes
  • ambitious creative partners

Other signals

  • AI-native production platform
  • AI-powered production capabilities
  • transforming how movies and TV series get made
  • AI/ML pipelines
  • creator adoption
  • production throughput
  • platform reliability