Director, Engineering — Engineering Acceleration

About the Role

The platforms in our Engineering Acceleration org dictate how thousands of Roblox engineers ship, and how every backend service gets built, deployed, and kept reliable at scale. Reporting to Andrew Swerdlow, you will rethink the entire engineering toolchain from the ground up to be agentic-native, creating a world where AI agents are first-class participants in software development while humans set direction and supervise.

Responsibilities

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

Qualifications

Required

• Experience leading and growing engineering teams (including managing managers and/or senior ICs), with a strong people-development track record.
• Strong technical depth in backend/distributed systems and cloud infrastructure to engage credibly on system design and technical decisions.
• A track record delivering internal developer platforms, CI/CD, or deployment systems at scale for many internal customers and services.
• A strong point of view on how AI/agentic tooling changes engineering workflows, coupled with 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, with the ability to translate ambiguous problems into concrete executable plans.

Preferred

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