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Sr. Technical Program Manager, AI Studios

Job in Culver City, Los Angeles County, California, 90231, USA
Listing for: Amazon.com, Inc.
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Job Description & How to Apply Below
Description

Join us as a Sr. Technical Program Manager on the AI Studios team within Prime Video and Amazon MGM Studios, where you'll drive the delivery of AI-powered production capabilities that are transforming how movies and TV series get made. AI Studios is building Nara, an AI-native production platform that empowers professional filmmakers to create cinematic-quality animation, live action, and VFX content at unprecedented speed and scale.

We are a fast-growing team operating as a startup within Amazon, with direct ownership of studio-level goals.

In this role, you are 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. You own end-to-end delivery across Engineering, Product, Applied Science, UX, and creative production teams to meet the needs of our studio's production slate. You'll translate production requirements into technical execution plans, manage cross-functional dependencies, drive prioritization decisions, and ensure delivery against ambitious milestones.

This is an opportunity for exceptional TPMs who want to operate at the intersection of AI/ML and cinematic storytelling, with high ownership, autonomy, broad cross-functional influence, and direct impact on how the entertainment industry adopts AI.

Key job responsibilities

As AI Studios' Sr. TPM, you will own end-to-end delivery for complex, cross-functional programs spanning engineering, applied science, product, and creative production teams. You will:

* 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.

* Own release readiness for your production vertical. Ensure capabilities meet production-grade quality, stability, and workflow requirements before they reach creative partners.

* 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.

* Influence engineering investment decisions and org-level prioritization by synthesizing production learnings, platform gaps, and technology trends into actionable recommendations for leadership.

* 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.

* Own cross-team dependency management and resource coordination across multiple concurrent productions. Negotiate priorities, unblock teams, and ensure sequencing aligns capabilities to production milestone dates.

* Communicate program status, risks, and recommendations to senior leadership across Prime Video and Amazon MGM Studios. Exceptional verbal and written communication is essential: you will author program narratives, decision documents, and status mechanisms that frame trade-offs clearly for executive audiences.

* Interface with creative production stakeholders (directors, VFX supervisors, producers, production managers) to understand production needs, drive prioritization of platform investments based on production impact, and 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.

A day in the life

Your morning starts with an engineering standup where you review sprint progress and unblock a dependency between the…
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