About the role:We're looking for someone to lead developer experience and data tooling for our pre-training data team. This person will build internal tools and infrastructure that make the team more productive-dashboards, CLIs, data exploration UIs, and the systems that tie them together.
The role is focused on DX and tooling-we're looking for someone who genuinely loves hacking on things, shipping fast, and tinkering.
What you might work on:- Lead tooling efforts across the stack: build systems, continuous integration, CLI tools, and internal web UIs
- Build internal tools for exploring datasets, labeling data, reviewing data quality, and tracking data inventory
- Improve ergonomics of data infrastructure-IO patterns in Ray/dataflow jobs, dataset tracking, pipeline observability
- Identify opportunities by engaging with the team, listening to pain points, and proactively improving workflows
- Raise the bar on code organization, packaging, and engineering best practices
What we're looking for:Nice-to-Haves- Strong software engineering fundamentals
- Genuine care for developer experience and best practices in code organization
- Good communicator who engages with teammates to understand their needs
- Bias toward action-sees something broken and fixes it
- Based in San Francisco (this role is in-office)
Ideal Background (in rough priority order)- Open source contributor - someone in the mold of tools like Ruff, uv, or similar developer-facing projects
- Build systems / CI experience - has written or maintained build systems, CI pipelines, or developer tooling at scale
- Startup product dev - comfortable moving fast, shipping throwaway prototypes, iterating quickly
Not Required- Deep ML/AI expertise (this is a tooling role, not a modeling role)
- Prior experience specifically in "data engineering" pipelines-we care more about tooling instincts than domain experience
Why This RoleYou'll have significant ownership over how a high-performing team works day-to-day. The scope is broad, the feedback loops are fast, and the work directly impacts how quickly we can move on core research and data efforts.
Compensation, benefits, and perks (US):- Annual salary ranges between $200K - $550K based on experience
- Equity is a significant part of total compensation, in addition to salary
- 401(k) plan with 6% salary matching
- Generous health, dental and vision insurance for you and your dependents
- Unlimited paid time off
- Visa sponsorship and relocation stipend to bring you to SF, if possible
- A small, fast-paced, highly focused team
