Backed by Battery and GV.
About the role
You'll spend significant time on-site (or deeply async) with customer teams — engineers, analysts, operators, executives — to figure out what's actually broken and what's worth building. You'll prototype quickly, then harden what works: data integrations, internal tools, ML pipelines, custom UIs, automation. You'll own outcomes end-to-end, from the first whiteboard session to the version running in production six months later.
What they're looking for
- 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
- Equal Employment Opportunity at Machinify
More about this role
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.
You'll spend significant time on-site (or deeply async) with customer teams — engineers, analysts, operators, executives — to...
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