The Role
Build public demos, example apps, wrappers, and integrations; produce technical tutorials, deep-dives, and docs; present at talks and workshops; engage developer communities and feed feedback to product and engineering.
Summary Generated by Built In
About SkyPilot
The role
What you'll do
What we're looking for
What we offer
SkyPilot accelerates the world's most ambitious AI teams. Every hour they spend fighting infrastructure is an hour the frontier doesn't move — so SkyPilot turns fragmented compute across clusters into one optimized, highly available and easy-to-use pool: a single AI supercomputer.
SkyPilot (10k+ GitHub stars, 14M+ downloads) is deployed at 100s of companies — from Fortune 500s to top AI-natives like Abridge, Applied Compute, Mistral, Unconventional AI, H Company, and Nubank — with usage growing exponentially. Born in the UC Berkeley lab behind Spark and Databricks, our growing team includes top-tier talent from Databricks, Google, Berkeley, MIT, CMU, and Cornell.
SkyPilot grew on the strength of its developer community — the engineers who found it, ran it, and told the next team about it. We're hiring a Developer Relations Engineer to grow that community the way engineers respect: by building. You'll work in the open on real demos, example apps, wrappers, and integrations (e.g., Autoresearch), plus the technical content and talks that teach engineers how to run AI infrastructure well. You turn SkyPilot's engineering into things developers can run, learn from, and build on.
- Build in the open: write demos, example apps, wrappers, and integrations that show developers what SkyPilot makes possible, with working code they can run.
- Create technical content: write the tutorials, deep-dives, and docs that teach engineers how to run AI infrastructure well, and get them in front of the right communities.
- Show up where developers are: talks, workshops, GitHub, forums, and conferences, as a credible engineer the community trusts.
- Close the loop with product: carry what the community struggles with back to engineering, and help shape the open-source surface.
- You're an engineer who loves to teach: you can build a real project and then explain it in a way developers trust.
- Strong coding ability (Python and/or Go), enough to build wrappers, demos, and integrations yourself.
- You know cloud, Kubernetes, and/or GPU and ML workflows well enough to be credible with infrastructure engineers.
- A track record of public technical work: content, talks, open source, example projects, or an audience you've built.
- You are energized by developer community and open-source.
- Competitive compensation and equity
- Comprehensive medical, dental, vision coverage for you and your dependents
- The chance to work with some of the best minds in cloud, distributed, and AI systems — with significant autonomy and ownership.
- A front-row seat at the latest open-source infra startup from Berkeley (lineage: Databricks, Anyscale).
- Gourmet lunch & dinner for the team to do their best work
Location: San Mateo, CA. Remote will be considered for exceptional candidates.
Skills Required
- Strong coding ability in Python and/or Go
- Familiarity with cloud infrastructure, Kubernetes, GPU and ML workflows
- Proven public technical work (content, talks, open source, example projects, or an audience)
- Ability to teach and communicate technical concepts to developers
- Experience engaging developer communities and contributing to open-source
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
SkyPilot is an open-source framework designed to run, manage, and scale AI, machine learning, and data science workloads on any AI infrastructure. It provides teams with a unified interface to launch jobs across various clouds and regions, automating compute selection and cost optimization to reduce expenses and simplify the management of complex cloud resources without requiring deep infrastructure expertise.
