The Role
Build SkyPilot's outbound and growth engine from scratch: design prospecting sequences, sourcing, enrichment, tooling, and experiments to convert open-source interest into qualified pipeline. Operationalize ICP into target lists and campaigns, grow cloud and ecosystem partnerships, instrument funnels, and work with Sales and Product Marketing to hand off opportunities.
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 has enormous open-source pull — millions of downloads and hundreds of companies already running it. We're looking for our early growth hire to turn that pull into a repeatable pipeline. You'll build the outbound and growth engine from scratch: the sequences, the sourcing, the tooling, and the experiments that get SkyPilot in front of the right teams at the right time. You'll be standing this machine up from the very beginning. You're the person who turns adoption and interest into a steady flow of the right conversations for the team to close.
- Build the outbound engine: design and run prospecting sequences, sourcing, and enrichment, and stand up the growth and GTM tooling stack (CommonRoom, Clay, and the like) from the ground up.
- Turn our ICP into pipeline: take the ideal-customer definition and operationalize it into target-account lists, plays, and campaigns that reach frontier AI teams and platform engineers where they already are.
- Run growth experiments: test channels, messaging angles, and offers; instrument the funnel so you know what's working; double down on what wins and drop what doesn't.
- Open early partnerships: find and grow the cloud, community, and ecosystem relationships that put SkyPilot in front of new users.
- Feed the closers: work alongside the Founding Account Executive and Product Marketing Manager — you build the machine and generate qualified pipeline, the AE closes it, and product marketing supplies the message.
What we're looking for
- You've built a GTM or growth motion from close to zero and owned it end to end.
- Fluent with the modern growth and GTM stack (CRM, sequencing, enrichment, data tooling like CommonRoom or Clay) and comfortable wiring tools together yourself.
- Analytical: you instrument funnels, read the numbers, and run disciplined experiments rather than one-off campaigns.
- Able to sell a deeply technical product to a technical audience — you can hold a credible conversation with ML and infrastructure engineers.
- Strong bias to action and ownership.
- Competitive equity, compensation, and health benefits.
- 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).
Location: San Mateo, CA. Remote will be considered for exceptional candidates.
Skills Required
- Built a GTM or growth motion from close to zero and owned it end-to-end
- Fluent with modern growth and GTM stack (CRM, sequencing, enrichment) and comfortable wiring tools
- Experience with data/growth tooling such as CommonRoom or Clay
- Analytical: instrument funnels, read metrics, and run disciplined growth experiments
- Able to sell or credibly engage a technical audience (ML and infrastructure engineers)
- Strong bias to action and ownership
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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.
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