Forward Deployed Engineer
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At a glance
Job overview
Machinify is hiring a Forward Deployed Engineer. Machinify is a leading healthcare intelligence company that delivers value, transparency, and efficiency to health plan clients. They are hiring Forward Deployed Engineers (FDEs) to work closely with customer teams, understand their workflows, and build, configure, and deploy solutions on their AI-powered platform. This role involves writing production code, designing data pipelines, and shipping features that may integrate into the core product.
Key focus areas include Spend significant time on-site or deeply async with customer teams, Figure out what is actually broken and what is worth building, and Prototype quickly, then harden what works.
Successful candidates bring High School Diploma/GED. Important skills include Generalist Engineering Chops, Backend Services, Data Work, Frontend, Infra, and Customer Instinct. Preferred (not required): Data Engineering, Machine Learning, and Distributed Systems.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
None
Minimum Education Required
High School Diploma/G.E.D.
Compensation
$7.25 / hourly
Hours Per Week
40
Number Of Positions
1
Work Schedule and Shift Requirements
First (Day)
Job Description
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.
What you'll do
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. You'll bring real signal back to our product and engineering teams, advocating for the platform changes that would have made your job easier. And you'll do all of this without a clean spec - figuring out the problem is half the work.
What we're looking for
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.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of r ace, color, ancestry, r eligion, s ex, national origin, s exual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at:https://www.machinify.com/candidate-privacy-notice/
Equal Opportunity Employer
Veteran Friendly Employer
Job Type
Full time
Benefits Offered
Not specified
Veteran Preference
No
Place of Work
On-site
Requisition ID
4183955009
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