AI Agent Infrastructure Lead

Sphere, Inc. • San Francisco, CA

17h • Onsite

About The Position

Sphere is looking for an engineer to lead our internal AI agent enablement efforts. You’ll build the systems that let AI agents safely and effectively increase velocity across Sphere, starting with engineering and expanding into ops, customer success, tax research, and implementation workflows.

Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle — calculation, registration, filing, remittance — at millisecond latency with zero downtime.

Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable.

Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office.
The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs — each multiplies the complexity. Tens of millions of transactions today, billions ahead.

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.

Responsibilities

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed