Senior Full Stack Engineer - San Francisco - Sailplane

    Sailplane
    Sailplane San Francisco

    4 days ago

    Description

    In an unmarked building somewhere in Silicon Valley, a small team of engineers is working on what could become one of the most transformative technologies in enterprise computing: autonomous infrastructure that manages itself. Sailplane, backed by AI kingmaker Khosla Ventures (OpenAI's first investor) and seed specialist True Ventures, is building a "self-driving cloud" - intelligent agents capable of autonomously managing the largest and most advanced AI infrastructure on the planet.

    Sailplane is solving one of the most complex challenges in modern computing: autonomous management of massive AI data centers. We are creating intelligent agents that operate rack-scale systems worth millions of dollars. Think Waymo for cloud infrastructure.

    "We're building million-dollar agents," explains co-founder Sam Ramji, who previously led product at Google Cloud Platform and brought Linux to Microsoft. "These aren't consumer-grade chatbots - they're sophisticated autonomous systems managing rack-scale hardware worth millions per unit."

    About the Role


    Sailplane is an early-stage AI infrastructure startup. Expect to wear many hats (writing code, testing, working with customers and teammates). You will bring a startup mindset, eager to take ownership of projects, navigate ambiguity, and move quickly to solve challenging problems in a fast-paced environment.

    As a Senior Full Stack Engineer, you will be a technical generalist, designing and shipping the foundational agents, planning systems, and infrastructure to help our customers. This is a technical individual contributor role focused on hands‑on coding, systems thinking, and prototyping.

    This hybrid position reports to the CEO and is expected to work from our downtown San Francisco office 2 to 3 days per week.

    What you will do at Sailplane

    • Design, implement, and iterate on the agent stack owning how features move from the ADE (UX) into agent logic. Implement agents that must reliably execute complex workflows in real production environments.
    • Create simulation and evaluation pipelines to measure task success rates, safety, latency, and cost; build rich traces and observability to debug agent behavior.
    • Own features from initial design through deployment, that use the latest in AI and machine learning technologies, working on core areas of the Sailplane platform.
    • Write clean, maintainable code that solves real customer problems.
    • Optimize performance and proactively address scale challenges as our platform grows.
    • Work directly with large language models, natural language processing, and AI systems.

    What you will bring to Sailplane

    • 5+ years (or equivalent impact) working in full stack engineering, preferably in a VC-backed startup environment.
    • Strong proficiency in tech stack: Typescript(Node JS), Framework, Python, React.
    • Shipped at least one system where AI agents or LLMs performed multi‑step tasks against real services or production data (not just offline demos).
    • Comfortable building production services, APIs, and data pipelines in a cloud environment (GCP/AWS), and working with containers, monitoring, and logs.
    • Care deeply about correctness, safety, and observability: you design guardrails, fallback paths, and metrics so agents behave predictably.
    • Thrive with ambiguity, enjoy collaborating directly with founders and early customers, and are excited to own large problem areas end‑to‑end in a 2–10 person team.

    Benefits and Perks

    • Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families, paid 100% by Sailplane.
    • Equity grant participation.
    • Flexible PTO with no accrual or set annual cap, plus 15 paid holidays per year.
    • Health and Wellness stipend ($3,000 annually) to help support your personal health goals.
    • AI tools stipend ($1,200 annually) to encourage hands‑on familiarity with emerging tools.

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