Operations Engineer

About the role

What is Coast

Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country’s 500,000 commercial fleets, 40 million commercial vehicles, and many millions of commercial drivers. The incumbent technologies that cater to these customers are decades old, and businesses with fleets increasingly demand modern digital experiences and transparent financial services products. Coast’s mission is to deliver this at a transformational scale, beginning with the Coast Fleet and Fuel Card built on a cutting-edge spend management platform.

Coast builds payments and spend management for fleet businesses: fuel cards, corporate cards and bill pay. We’re becoming AI-native: AI handles the repeatable work, so people can focus on customers and the hardest problems.

Our sales team already runs on AI workflows we built in-house. Now we're building a small internal AI team to take that across the whole company. You'll join as one of two AI Operations Engineers, reporting to our AI Lead.

About the Role

This is a builder role with an operator’s mindset. You’ll find the highest-leverage work across Sales, Customer Success, Marketing, Support, Finance, Risk, Product, and Operations, and own it end to end, from first conversation to production. Some weeks you’ll write code; others you’ll run a workshop or redesign a process with a team.

Everyone at Coast uses Claude and builds their own skills. You build what they can’t: autonomous agents, and the foundation that makes everyone’s skills better.

In your first six months, you’ll ship three or more agents that teams rely on daily, each backed by evals that show it improving month over month. You’ll drive measurable gains in Coast’s operating efficiency, tracked in hours saved.

What You’ll Do

- Find and prioritize the work. Sit with teams, map their workflows, and size the time saved. Turn what you find into a ranked backlog with the AI Lead.

- Build autonomous agents. Ship event-driven agents that do multi-step work across our stack. You’ll own the engineering off-the-shelf tools can’t do:

- Loop and orchestration: design agent loops, sub-agent handoffs, and when to act alone or escalate to a human.

- Memory and context: model shared memory as a knowledge graph, and decide what each agent sees, remembers and forgets.

- Custom tooling: build the tools our agents need.

- Traces and evals: trace every run, score outputs against test sets built from real outcomes, and prove each version beats the last.

- Measure impact. Define success metrics for each build, track adoption and time saved, and report results to leadership.

- Run what you ship. Own reliability, latency and cost in production, and catch regressions before users do. Partner with Security and IT on access, audit trails and the handling of sensitive data.

- Enable the company. An AI-native company runs on self-service, and self-service needs solid infrastructure. You’ll architect the shared foundation the rest of Coast builds on: knowledge bases, application databases, templates, tools, and connectors. Then you’ll help people use it through training, office hours and hackathons, and grow a network of AI champions.