Director, Engineering — Engineering Acceleration

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

Director of Engineering to reimagine the engineering toolchain to be agentic-native, creating a world where AI agents are first-class participants in software development. This role will design platforms, guardrails, and feedback loops for AI agents to drive migrations, validation, and operational work, focusing on AI-driven quality, automated testing, and reducing operational toil. Requires experience leading engineering teams and strong technical depth in backend/distributed systems, with familiarity in the AI engineering stack.

What you'd actually do

  1. Reimagine the engineering toolchain as agentic-native, designing the platforms, guardrails, and feedback loops that let AI agents safely drive migrations, validation, and routine operational work.
  2. Set a bold technical direction for AI-driven quality, including agent-generated tests, automated coverage of untested paths, intelligent verification, and continuous-deployment workflows.
  3. Make software quality and SEV prevention a measurable property of the platform by investing in safe-change mechanisms, automated verification, progressive rollout, and fast, reliable rollback.
  4. Drive down operational toil through automation, transforming manual, repeat work like patching and large-scale migrations into self-serve or agent-driven workflows.
  5. Own and drive the roadmap, aligning cross-pod plans and execution against company goals for safe rollouts.

Skills

Required

  • Experience leading and growing engineering teams (including managing managers and/or senior ICs)
  • Strong technical depth in backend/distributed systems and cloud infrastructure
  • Track record delivering internal developer platforms, CI/CD, or deployment systems at scale
  • Strong point of view on how AI/agentic tooling changes engineering workflows
  • Hands-on familiarity with the modern AI engineering stack, AI coding tools, eval design, and open-weight models
  • Demonstrated cross-organizational collaboration and excellent communication skills

Nice to have

  • Backend proficiency in C# and/or Go
  • Familiarity with Kubernetes/Nomad (Hashistack), Temporal, and AWS
  • Hands-on experience applying AI/agents to engineering workflows
  • Background in safe/staged rollouts (canary, feature flags)
  • Background in incident prevention/automated verification

What the JD emphasized

  • agentic-native
  • AI agents safely drive migrations
  • AI-driven quality
  • agent-generated tests
  • automated coverage of untested paths
  • intelligent verification
  • continuous-deployment workflows
  • automated verification
  • progressive rollout
  • fast, reliable rollback
  • operational toil through automation
  • agent-driven workflows
  • safe rollouts
  • hands-on familiarity with the modern AI engineering stack
  • AI coding tools
  • eval design
  • open-weight models
  • applying AI/agents to engineering workflows
  • safe/staged rollouts
  • incident prevention

Other signals

  • AI agents as first-class participants in software development
  • Reimagine the engineering toolchain as agentic-native
  • AI-driven quality
  • agent-generated tests
  • automated coverage of untested paths
  • intelligent verification
  • continuous-deployment workflows
  • Drive down operational toil through automation
  • agent-driven workflows
  • hands-on familiarity with the modern AI engineering stack
  • AI coding tools
  • eval design
  • open-weight models