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AI Summary
Build open-source demos, example apps, and integrations to showcase SkyPilot's capabilities. Create technical content and engage with the developer community through talks, workshops, and forums to drive adoption.
About SkyPilot
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.
The role
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.
What you'll do
- 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.
What we're looking for
- 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.
What we offer
- 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.
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