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Vast.ai is seeking an engineering leader to scale our distributed cloud platform. You will report to the founder and guide a group of about 8 engineers across two product teams, owning delivery across the customer-facing platform.
The role blends hands-on coding with leadership, focusing on shipping reliability, fast delivery, and pragmatic processes. You will shape the roadmap and build a high-performing org in a fast-moving startup.
Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing — reshaping our future for the benefit of humanity.
We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.
On‑site at our office in San Francisco or Westwood, Los Angeles.
You will report directly to Jake Cannell, our founder and CEO, who built the platform and remains deeply involved in technical architecture. You will partner with him to turn technical direction and product priorities into a high‑functioning engineering organization: clear ownership, fast delivery, strong code quality, sustainable reliability, and a team that gets better every quarter.
This is not a purely managerial role. The right candidate still enjoys working in the codebase and earns technical trust through judgment, reviews, and occasional critical‑path shipping.
You will initially lead a group of approximately 8 engineers across two product/infrastructure teams.
The technical surface area is broad: distributed infrastructure, GPU scheduling and availability, marketplace dynamics, developer experience, payments and billing, reliability, security, and high‑throughput backend systems. The role is ideal for someone who likes building both the product and the engineering organization behind it.
Marketplace or infrastructure company experience, CUDA/GPU stack familiarity, an open‑source track record.
Range: $200K - $320K