USD per year
AI Agent Infrastructure Lead
Location
San Francisco HQ
Employment Type
Full time
Location Type
On-site
Department
Engineering
Compensation
- $230K – $260K • Offers Equity
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.
- 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.
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.
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,...
Sphere is an AI-native tax engine providing end-to-end compliance automation for sales tax, VAT, and GST globally. It integrates with billing stacks and payroll providers to automate tax registration, calculation, filing, and remittance with expert support.
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