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Member of Technical Staff, Platform

Fleet· Platform
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San Francisco, CA or New York, NYFull-timePosted 7mo ago

About the role

Platform-owned systems that run environments and training runs, durable records, and production infrastructure enabling scalable, observable agent runtimes and environments from repository to graded deployment.

Responsibilities

  • Own the agent runtime. Make a long agent rollout a first-class object rather than a process. It should pause, resume at the exact step it stopped, and stay steerable while it is still running.
  • Make environments ship in one motion. Carry an environment from a repository to a graded deployment along a single dependable path, so that shipping the hundredth one feels like shipping the first.
  • Design the systems of record. Give every task, trajectory and verifier one durable home. The contract should be clear enough that other teams can build against it without asking you first.
  • Make long jobs boring. Multi-hour work that checkpoints cleanly, retries honestly, and can tell you exactly where it is at any moment.
  • Put numbers on model and harness choices. Build the evaluation that shows what a change does to quality, latency and cost, so those tradeoffs get argued from data.
  • Turn one team’s solution into everyone’s capability. When something works well for Research or Environment Engineering or Deployments, make it a platform primitive the whole company inherits.

Qualifications

  • Strong backend and systems fundamentals, including production experience keeping something distributed or asynchronous alive
  • Range across infrastructure and interface, from designing a queue one day to building the internal tool for inspecting it the next
  • Judgment about when a shared abstraction earns its keep and when a targeted fix is the more honest answer
  • A habit of instrumenting first, so you can say what a change did to reliability, to cost, or to somebody’s afternoon
  • Comfort chasing a failure across service boundaries and carrying the fix all the way into production
  • Fluency with AI coding agents as part of how you work

Skills

Required:Backend and systems fundamentalsInfrastructure designAbstraction judgmentInstrumentationFailure debugging across servicesAI coding agents

Benefits

  • extremely competitive salary
  • meaningful equity
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Fleet

Fleet - AI-powered workflows

Fleet creates simulated worlds and real-world challenges to better understand and shape the behavior of artificial intelligences.

AI-powered workflowsbessemer-ai-infrastructure-2026reinforcement-learning-platforms
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