Director, Engineering — Engineering Acceleration
Roblox is hiring a Director, Engineering — Engineering Acceleration in San Mateo, United States. It pays $399k-$458k a year and Level rates it ; you can apply on Roblox.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- Roblox mentions visa sponsorship in this posting.
- Tools and skills the posting cites include AI agents, engineering management and distributed systems.
- Level classifies it as an executive role.
- Level lists 271 other open roles at Roblox.
AI in this role
Lead an engineering organization building agentic-native developer tooling and infrastructure at scale.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
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. They sit on the critical path for production reliability, developer velocity, and security posture. 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 and humans set direction and supervise. This is a unique opportunity to define what modern engineering infrastructure looks like at one of the largest platforms in the world.
You will:
- 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.
- 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 by investing in safe-change mechanisms, automated verification, progressive rollout, and fast, reliable rollback.
- Drive down operational toil through automation, transforming manual, repeat work like patching and large-scale migrations into self-serve or agent-driven workflows.
- Own and drive the roadmap, aligning cross-pod plans and execution against company goals for safe rollouts.
You have:
- 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, enabling you 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, multi-system problems into concrete, executable plans.
- (Preferred) Backend proficiency in C# and/or Go, and familiarity with Kubernetes/Nomad (Hashistack), Temporal, and AWS.
- (Preferred) Hands-on experience applying AI/agents to engineering workflows, with a background in safe/staged rollouts (canary, feature flags) and incident prevention/automated verification.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range$399,420—$457,970 USDRoles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
How we rate this
Director, Engineering — Engineering Acceleration at Roblox rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where developer infrastructure was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Engineering Management, Distributed Systems, Developer Infrastructure, and Agentic Workflows. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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