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SkyPilot, based in San Mateo, CA, is looking for its first Engineering Manager to grow and scale the engineering team. You will report to the CTO, work closely with the founders, and stay hands-on while shaping product directions for AI infrastructure.
You will review customer call recordings, aggregate feature requests, and convert them into a prioritized roadmap. You will also lead efforts to ensure reliability, security, and performance of the platform used by frontier AI teams.
SkyPilot accelerates the world's most ambitious AI teams. SkyPilot turns fragmented AI compute across clusters into one optimized, highly available and easy-to-use pool: a single AI supercomputer. SkyPilot (10k+ GitHub stars, 18M+ downloads) manages the GPU fleets of 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. To date, SkyPilot has raised over $20M in seed funding from top investors (incl. Lux, Coatue, Amplify) and operators (incl. Ali Ghodsi, Jeff Dean, Guillermo Rauch, Amjad Masad, Clem Delangue, Aaron Levie).
We are hiring our very first Engineering Manager to grow and scale our engineering team. You will report directly to our CTO and work closely with the founders. We are looking for someone who is hands-on, hungry for impact, and takes pride in building high-performing teams. The ideal candidate understands the output of a manager is the sum of the outputs of all of their reports. You'll lead the engineering team, stay involved in technical work, and shape product directions alongside the founders: reviewing customer call recordings and notes, aggregating requests across accounts, and deciding what the team builds next. You'll have direct exposure to our largest customers.