Staff AI Product Lead - Agentic Systems for Games

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

Benefits offered by this job

Health plans

Stock options

401(k) matching

Paid time off

Flexible time off

Job summary

Netflix Games is seeking a technical leader to shape strategy, development and delivery of GenAI tools and agentic systems across Netflix Games. This pivotal role drives how AI creates value and requires a leader who can blend product thinking, internal alignment, and hands-on engineering.

You will own roadmaps, collaborate with game studios and platforms, prototype rapidly, and scale core capabilities from model inference to tooling.

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, 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.

Responsibilities

• Identify key opportunities where AI can add value to teams, defining the product strategy and architecture of new enablement systems.
• Derive insights from user research and quantitative data to create product roadmaps, which identify the highest return investments, distinguish hype from value.
• 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.
• Prototype to shipping: Bring product strategy skills and builder capabilities to every initiative, define what's worth building, not just how to build it.
• Work with technologies across the game organization stack, from game engines, to services, to Agentic systems (Claude Code, Cowork, OpenClaw, custom agents and bots)
• Contribute to engineering production‑grade agentic systems: multi‑step reasoning pipelines, tool‑use agents, multi‑agent orchestration, and autonomous workflows.
• Build reusable agent primitives and infrastructure, MCPs (Model Context Protocols) and shared agentic libraries, that raise the floor for the whole organization and reduce duplicated effort across game studios and platform teams.
• Where needed, iterate on model capabilities through model fine‑tuning, DPO to align outputs with quality preferences, LoRA/QLoRA for efficiency, and RLHF for long‑horizon agentic tasks. With the aim of improving overall tools performance.
• Data Driven Decision Making: Define AI evaluation as a first‑class discipline, including defining overall product evaluations strategy, curating offline eval sets, automated scoring pipelines, and regression gates. Define and build online evaluation: A/B testing, production telemetry, user feedback loops, and anomaly detection for agent behavior drift.
• Partner with external researchers, developers, and companies pioneering work in the agentic AI space. Stay on the forefront of emerging frameworks, open models, and infrastructure patterns, and bring those learnings back to accelerate our own efforts.
• Collaborate with our engineering and platform teams to build robust solutions and scale core capabilities: model inference, data pipelines, responsible AI compliance, safety guardrails, and graceful degradation at scale.
• Managing a small team of engineers

Skills

AI product strategy

Machine learning

AI engineering

Product management

Communication

Tools

LangChain

LangGraph

AutoGen

Google ADK

Unreal Engine

Unity Engine

Job description

Netflix Games is seeking a technical leader to shape strategy, development and delivery of GenAI tools and agentic systems across Netflix Games. This pivotal role drives how AI creates value and requires a leader who can blend product thinking, internal alignment, and hands-on engineering.

You will own roadmaps, collaborate with game studios and platforms, prototype rapidly, and scale core capabilities from model inference to tooling.