Engineering Manager, Telemetry Agent and EdgeActive$215K–$260K

The opportunity

Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.

What you'll do

  • Grow and develop your team. Manage 4 to 6 engineers directly: 1:1s, career growth, performance, and team health, with the team growing over time.

  • Own delivery. Plan, sequence, and de-risk a multi-phase release with a fixed: finish line, and be accountable for shipping it.

  • Set the technical direction for your area. Partner closely with the tech lead: so they can focus on engineering rather than absorbing delivery and handoff work alone. Ask the hard questions and make sound tradeoff calls alongside your engineers.

  • Keep the operational bar high. The agent runs on every customer node, so: rollout safety, low overhead, and reliability are core to the job, not afterthoughts.

  • Own the team's oncall rotation and the operational health of the agent fleet.

  • Coordinate across team boundaries. Much of this team's work ships inside: other teams' releases and hardware launch windows, so sequencing dependencies and escalating early is a core part of the job.

What they're looking for

  • Shape the team over time. Work with recruiting on sourcing, run a: high-quality interview loop, close strong candidates, and onboard them well.
  • Collaborate across functions. Partner with product, neighboring: infrastructure teams, peer managers, and leadership to keep priorities aligned as the observability product expands.
  • You care about people. You want the engineers around you to grow, you give: feedback that's both direct and kind, and you measure your own success through your team's.
  • Technical depth. 5+ years of hands-on engineering experience, ideally in: systems software: host agents, telemetry collectors, daemons, or other performance-sensitive software (Go, Rust, or C++ environments), and hands-on familiarity with Kubernetes and helm-based deployment. This role stays close to the technical work.