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Forward Deployed Engineer

Machinify · Remote - US · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyMachinify
TitleForward Deployed Engineer
Normalized title-
Department / teamOperations
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-17 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Machinify.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Operations.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMachinify
Source21b206a0-4e55-4c82-8ff8-b54876e4ec8c
ATS providerGreenhouse

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 race, color, ancestry, religion, sex, national origin, sexual 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/

Full job record

Job ID1713f4e082c260131b6c8268688fd65359df987c
Org IDf98f4c50-bb90-40d5-9ce4-233e819a9ac8
Source ID21b206a0-4e55-4c82-8ff8-b54876e4ec8c
Board ID21b206a0-4e55-4c82-8ff8-b54876e4ec8c
Providergreenhouse
Provider Job Key4183955009
TitleForward Deployed Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote - US
DepartmentOperations
Team
Employment TypeFull-time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/machinifyinc/jobs/4183955009
Apply URLhttps://job-boards.greenhouse.io/machinifyinc/jobs/4183955009
First Seen At2026-05-29 22:57:06Z
Last Seen At2026-06-06 19:33:01Z
Last Checked At2026-06-06 19:33:01Z
Last Changed At2026-05-29 22:57:06Z
Inactive At
Source Posted At2026-03-17 18:05:30Z
Source Updated At2026-05-14 17:48:12Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=machinifyinc/date=2026-06-06/2026-06-06T19-33-01-559Z-33d1382111212feddac870b802a4b68affc84182e83325400b7f2fe367ece74e.json
Event Fields
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  "source_hash": "d41bcffc1d38bf3bc1f0be74527010b8ea8b291d0eb6ad28b3e7dc0ba5a8b75e",
  "last_changed_at": "2026-05-29T22:57:06.213Z",
  "active_status": "active"
}
Parsed Structured
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    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
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  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:33:01.788Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
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      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
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    "countries": [
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    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "updated_at": "2026-05-14T13:48:12-04:00",
  "departments": [
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      "name": "Operations",
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  "company_name": "Machinify",
  "requisition_id": 4106560009,
  "first_published": "2026-03-17T14:05:30-04:00",
  "application_deadline": null
}
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