Leads Sphere's internal AI agent enablement, building agent sandbox environments and workflows where agents inspect the codebase, run local infrastructure, make changes, run tests, and prepare work for human review. Builds "Goose," an internal agent layer for operating across Sphere's systems, and sets patterns for context, permissions, review, observability, and escalation. The team is small and flat, and the work spans backend systems, infrastructure, CI, and internal tooling.
ABOUT SPHERE
Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest — and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other.
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.
THE ROLE
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.
Within days
Within months
WHO YOU ARE
You'll thrive here if:
This won't be a fit if:
Compensation: $220K - $280K
