Forward Deployed Engineer

Strong generalist engineering chops. You can move comfortably across the stack - backend services, data work, frontend when needed, infra when forced. We don't care which languages, but you should be the kind of person who picks up a new one in a weekend if the job calls for it.

Customer instinct. You can sit in a room with a non-technical user, ask the right questions, and translate what you hear into something buildable. You don't get defensive when feedback is messy. You can push back on a customer when their ask is wrong, and they'll thank you for it.

High agency and tolerance for ambiguity. You're allergic to waiting for permission. When the path forward isn't clear, you make a call and ship something. You're comfortable being the only engineer in a room of stakeholders.

Bias toward shipping. You'd rather have a working v0 in front of a user on Friday than a perfect design doc on Monday.

Nice to have: prior experience as a founder, early engineer at a startup, consultant at a top firm, or in roles where you owned a customer relationship technically. Background in data engineering, ML, or distributed systems. Willingness to travel - typically 25-50% depending on the engagement.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. We're hiring Forward Deployed Engineers (FDEs) to sit at the intersection of our product and our customers' hardest problems. You'll embed with customer teams, understand their workflows deeply, and build, configure, and deploy solutions on top of our platform that actually move the needle. This isn't traditional implementation work - you'll write production code, design data pipelines, and ship features that often make their way back into the core product.