Member of Technical Staff
SkyPilot
Member of Technical Staff
SkyPilot
Multi-cloud AI compute orchestration platform
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).
SkyPilot's power only matters if it's a joy to use. We're looking for a product engineer to lead full-stack, user-facing features across SkyPilot's open-source and commercial offerings — the dashboard, the CLI and the overall developer experience — owning them end to end and close to users. You own how SkyPilot feels to use, from a new user's first job to a power user's daily workflow.
Own user-facing features end to end: the dashboard (cluster status, job logs, GPU utilization, quotas), the CLI and YAML experience, Devspaces, and onboarding - from ideation to shipping and iterating on user signals.
Drive growth and delightful UX: understand what makes features useful and sticky, owning everything from frontend design to backend integration.
Stay close to users: run tight feedback loops with our open-source community and customers, and turn what you hear into shipped improvements - fast.
Great product taste: an unusually good eye for delightful products, and a knack for making complex, technical products feel simple.
You've built full-stack product features — ideally SaaS / cloud platforms from zero to one — that real users depend on.
Familiar with best-in-class product tooling — e.g. NextJS, TypeScript, React, FastAPI, Python.
You move fast and close to users, with judgment for what to build and what to cut.
Experience with developer tools or a technical audience, a strong design sensibility, or open-source / building-in-public experience.
Competitive compensation and equity.
Comprehensive medical, dental, vision coverage for you and your dependents.
Company 401(k) plan.
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.
Gourmet lunch & dinner for the team to do their best work.
Location: San Mateo, CA. Remote will be considered for exceptional candidates.
SkyPilot provides a single control layer to manage AI compute across many clouds, clusters, and hardware. Teams can define and launch AI workloads with infrastructure as code using one YAML file that targets 20+ cloud providers, Kubernetes, and on‑prem systems, with SkyPilot acting as a neutral broker to route workloads to the most cost‑effective or available resources, including spot instances and automatic failover. The open‑source SkyPilot has millions of downloads and is used by Shopify, Nubank, Abridge, and Hippocratic AI; the enterprise SkyPilot Platform adds GPU health monitoring, automated remediation, multi‑team quotas, SSO, and SOC 2. Its goal is to reduce GPU fragmentation and vendor lock‑in while boosting utilization, so AI teams can focus on building models rather than managing infrastructure.
Explore more opportunities at SkyPilot