Hiring: Technical Product Manager, Infrastructure Company: Vast.ai Location: Los Angeles, CA Job Posted Time: 2026-09-17 11:50:36 Employment Type: On-site Target Skills & Keywords : AWS, C++, Docker, LLM, Linux, PostgreSQL, Product Management, Python, REST, Redis, SQL, Terraform About the job Experience: •3+ years as a backend engineer AND 3+ years in product management •Applied hands-on capability in several of: security, scalability, reliability at scale, infrastructure tooling, distributed systems, observability, abuse/fraud prevention, compliance •Industry experience in one or more of the following areas: software infrastructure, developer tooling (APIs, SDKs, CLIs), AI/ML, cloud computing, GPUs, or two-sided marketplaces •AI-native. You work with AI agents every day, and you want to build the compute layer the AI era runs on. •Deeply technical. You came up as an engineer, and you reason about scalability, security, and efficiency as product concerns, not afterthoughts. Required Skills: •Vast.ai is seeking a Technical Product Manager to drive the backend our GPU cloud marketplace runs on. This is the software behind every live GPU rental (over 700k transactions a month): the daemon on every host's machines, the orchestration that powers each instance, and the infrastructure and test systems that let us ship it all at high velocity. •We don't own the GPUs. Thousands of independent hosts price and operate them, and no two machines are alike. Your job is to make that heterogeneous, decentralized supply behave like the top-tier cloud our customers expect: fast, secure, and reliable. •Scalability & performance. Keep the core systems fast and ahead of demand as the marketplace grows, from database performance to end-to-end latency. •Security, trust & compliance. Harden the platform against attacks and abuse, and build the compliance roadmap enterprise customers need. •Observability & infra tooling. Give every engineer a clear view of platform health, and every host a clear view of their fleet. Own the metrics, tracing, and tooling behind it. Compensation: •$170,000 - $240,000 / year •$170,000–$240,000 base depending on experience, plus equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!