Lead AI Product Manager, Games & Agentic Systems

Netflix Global, LLC; Los Gatos (CA); On-site; USD 890,000 - 1,690,000; Full time

Benefits offered by this job

Health plans

401(k) with employer match

Stock options

Disability programs

Paid time off: 35 days + annual leave

Job summary

Netflix Games is seeking a senior AI product leader to drive strategy for agentic AI across game studios and platforms. Shape roadmaps, validate ideas with real systems, and scale practical tooling from prototype to production.

You will collaborate with engineers, researchers, and partners to push multi‑step reasoning, tool use, and autonomous workflows while maintaining safety and performance across diverse game titles.

Qualifications

• 7+ years of experience in AI product strategy, machine learning, and AI engineering with a strong hands‑on engineering foundation.
• 3+ years of experience in the game development industry.
• Product management experience, identifying user needs, defining product roadmaps, and running production development workstreams.
• Experience in games or interactive entertainment, shipping game features, working in game engines (Unreal, Unity), or building AI experiences for players.
• Deep, practical experience building and deploying agentic AI systems in production—multi‑step reasoning, tool use, multi‑agent orchestration, or autonomous workflow automation.
• Strong Python engineering skills and production experience with agentic frameworks (LangChain, LangGraph, AutoGen, Google ADK, or equivalent).
• Proven experience designing and operating evaluation infrastructure for AI systems—offline benchmarks, automated scoring pipelines, and online experimentation.
• Deep understanding of the Gen AI ecosystem, open models, data requirements, infrastructure and tooling, safety frameworks, and the trade‑offs between hosted and in‑house solutions.
• Comfortable navigating from research prototypes to production‑ready systems in a fast‑paced, cross‑functional setting, in partnership with engineering teams, AI research, and game studios.
• Strong communicator who can convey complex AI system design to technical and non‑technical stakeholders, and build alignment across game studios, platform teams, and leadership.
• Nice to have: Familiarity with MCP or similar agent‑to‑system connectivity standards; inference optimization for agentic deployments; responsible AI experience; full LLM fine‑tuning lifecycle experience; published research or public contributions in agentic systems, RLHF, or LLM evaluation.

Responsibilities

• Identify key opportunities where AI can add value to teams, defining the product strategy and architecture of new enablement systems.
• Prototype fast to validate ideas with real systems, identify where agentic AI genuinely transforms player experience or team productivity, and take features from concept to production without a handoff layer.
• Contribute to systems that implement multi‑step reasoning pipelines, tool‑use agents, multi‑agent orchestration, and autonomous workflows.
• Define AI evaluation as a first‑class discipline, including overall product evaluation strategy, curating offline evaluation sets, automated scoring pipelines, and regression gates.
• Partner with external researchers, developers, and companies pioneering work in the agentic AI space.
• Collaborate with engineering and platform teams to build robust solutions and scale core capabilities—including model inference, data pipelines, responsible AI compliance, safety guardrails, and graceful degradation at scale.
• Manage a small team of engineers.

Skills

AI product strategy

Machine learning

Python

LangChain

LangGraph

AutoGen

OpenAI tools

Multi-agent systems

Team leadership

Tools

LangChain

LangGraph

AutoGen

Google ADK

MCP

Job description

Netflix Games is seeking a senior AI product leader to drive strategy for agentic AI across game studios and platforms. Shape roadmaps, validate ideas with real systems, and scale practical tooling from prototype to production.

You will collaborate with engineers, researchers, and partners to push multi‑step reasoning, tool use, and autonomous workflows while maintaining safety and performance across diverse game titles.