Decagon is growing fast, and we're looking for an AI Acceleration Engineer to build the systems the company runs on and make AI a practical part of how every team works
You'll extend the platform that already serves as our source of truth for contracts and customers, automate the billing, collections, and close work that still takes days of manual effort each month, and replace processes running on spreadsheets with systems people can trust. You'll also AI-pill the rest of the company, giving them the MCP servers, skills, agents, and artifacts to automate their own work
This isn't a role about evaluating tools and writing decks. It's a hands-on technical role: you'll own what you build and keep owning it, working directly with the people whose processes you're changing. Because this space moves every few weeks, you'll be the one deciding what's worth adopting and getting it into people's hands. If you see manual processes as problems to engineer away, and have the range to do it, this role was built for you
Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance
Build and maintain the web applications and integrations internal teams run on, from existing systems such as our internal contract and revenue platform to new tools you design and stand up from scratch
Work with stakeholders across Finance, Accounting, Legal, People, and Recruiting to surface new use cases and areas to automate, and determine whether each calls for a custom build, an AI vendor, or a hybrid approach
Take on major workstreams as they come up: billing, revenue recognition, usage data ingestion, and reconciliation across our internal data, the ERP, and Salesforce
Build the interfaces that let others work with our systems through AI, including MCP servers, skills, and agent-facing tooling, and enable power users across the business to handle the simpler automations themselves
Measure and communicate impact back to leadership: time saved, cost reduced, errors eliminated