AI Agent Infrastructure Lead

What You'll Do

Within days

• Ship AI agent features that help Sphere's engineering team use agents more effectively and responsibly.
• Iterate on versions of Sphere's agent sandbox environments.
• Create workflows where agents can inspect the codebase, run local infrastructure, make changes, run tests, and prepare work for human review.
• Work directly with engineers to identify high-leverage internal workflows where agents can create immediate velocity.

Within months

• Lead Sphere's internal efforts to enable AI agents to act more autonomously across engineering, ops, customer success, tax research, and implementation.
• Build "Goose" for Sphere: the internal AI agent layer that helps agents understand and operate across Sphere's systems.
• Own the infrastructure, tooling, and workflows that let agents safely take on more complex internal work over time.
• Establish the patterns for how Sphere uses agents internally, including context, permissions, review, observability, and escalation.

Requirements

• Experience building production-quality software.
• Experience in AI agents, coding agents, internal developer tooling, or AI agent enablement.
• Comfort working across backend systems, infrastructure, local development environments, CI, and internal tools.
• Strong judgment around autonomy, safety, permissions, and human review.
• High agency. You can take a vague internal problem and turn it into a working system people actually use.
• Strong attention to detail. Agents are only useful here if they improve speed without reducing correctness.