Senior Program Manager, Gen AI - Games
Netflix
- Location
- USA - Remote
- Work model
- Remote
- Level
- Senior
- H-1B history
- 80 approvals (FY2023)
Skills
About this role
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom, and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition, and cutting-edge technology. The next challenge for Netflix Games will be applying AI at the scale and quality consumers expect to make a real impact. Come be a part of what’s next.
We're seeking a strategic and operational program manager for the Netflix GenAI team. This role is twofold: first, help prioritize the GenAI team's own work - identifying opportunities and helping technical team members align on what to build next; and second, drive GenAI adoption across the broader Netflix Games organization. We need a Sr Program Manager who understands the day-to-day challenges, workflows, and business needs of both the GenAI team and the teams it serves, and who can bring together a coherent program with hands-on execution.
Key Responsibilities
Project Prioritization & Management
* Support product engineering workstreams through detailed milestone planning, running agile development processes, clarifying priorities, tracking sprints and deliverables.
* Work with technologies across the game organization stack, from game engines, to services, to Agentic systems (Claude Code, Cowork, OpenClaw, custom agents and bots)
* Drive cross-functional program coordination: partner with engineering, platform, and studio teams to align on prioritization, sequencing, and dependencies, and surface risks before they block delivery.
Drive adoption of GenAI tools and intelligent automation
* Identify key opportunities where AI can add value to teams, defining the specific customizations, learning materials, program plan to drive adoption.
* Work across diverse teams in game studios and platforms, to inform and advise on existing initiatives, as well as how new tools will fit within the broader ecosystem.
* Create and deliver regular training and communications materials to support tool adoption.
* Produce custom AI skills and tools that can support specific workflows and tasks across functions.
* Turn complexity into clarity: write the status updates, decision docs, and alignment artifacts that keep teams and leaders on the same page.
Data Driven Decision Making
* Dive into team and product engagement data - usage metrics, adoption funnels, survey results - to run analyses, surface trends, and formulate recommendations.
* Define the KPIs and success metrics for GenAI program, design and run lightweight experiments (A/B tests, cohort comparisons) to evaluate program success.
Define new opportunities for GenAI in game development process
* Through stakeholder interviews, technical deep-dive workshops, engaging across specialists, identify tangible opportunities for GenAI to accelerate game development, supporting teams in their work.
* Derive insights from user research and quantitative data to create product roadmaps, which identify the highest return investments, distinguish hype from value.
* Maintain awareness of the fast-moving GenAI landscape - new models, capabilities, and industry use cases - and work across the company to translate relevant developments into concrete solutions for the business.
* Engage and manage external vendors, shaping project proposals and overseeing project deliverables.
* Collaborate with our engineering and platform teams to define and plan for robust solutions and scale core capabilities: model inference,