Senior Engineering Manager, AI Roblox Studio

Roblox Roblox · Consumer · San Mateo, CA · Software Engineering

Senior Engineering Manager to lead the Studio Assistant team, driving the strategy and execution of an agentic AI system for Roblox creators. The role involves owning the end-to-end system from user experience to backend infrastructure, including model orchestration, tool execution, and evaluation pipelines, with a focus on scaling to millions of users.

What you'd actually do

  1. lead the Studio Assistant team — driving the strategy and execution of our agentic AI system that powers creation for millions of Roblox creators
  2. Your team owns everything end-end from the user experience in Studio, to the infrastructure underneath backend by a single cloud-native architecture: one harness, one tool set, one eval framework.
  3. Your leadership will increase productivity by removing obstacles and keeping processes lean.
  4. Grow our organization by attracting and retaining the best talent in AI engineering and applied ML.
  5. Own the technical strategy for our agentic AI stack — balancing speed, reliability, and creator experience.

Skills

Required

  • 10+ years of experience in large-scale software deployments
  • proven track record of leading large teams (15+)
  • delivering highly performant technical solutions
  • Experience building or leading teams that ship AI/ML-powered products in production
  • Experience defining architecture for AI systems at scale
  • comfortable across the full stack of an AI-powered product: cloud orchestration, LLM integration and model routing, skill/tool execution, and creator-facing client experiences
  • deep understanding of AI infrastructure — model serving, reliability, observability, and multi-step execution loops including planning, tool use, and recovery
  • identify high-impact opportunities, shape them into a roadmap, and get buy-in from leadership and partner teams
  • track record of working across organizational boundaries
  • leading and growing technical teams

Nice to have

  • MS/PhD are a definite plus
  • researching emerging AI capabilities

What the JD emphasized

  • shipping agentic workflows to millions of creators
  • experience with agentic systems
  • LLM orchestration
  • evaluation frameworks
  • operational challenges of shipping AI features reliably at scale

Other signals

  • leading teams
  • shipping AI/ML products
  • agentic AI system
  • creator-facing client experiences
  • AI infrastructure
  • model serving
  • multi-step execution loops