Machinify
0 open Forward Deployed Engineer roles at Machinify, plus 1 closed. Curated with comp bands.
On the board since Aug 2026 · no roles open right now
Our take
Why Machinify
A rare FDE seat where the deployment surface is the US healthcare claims system itself -- now inside a New Mountain-owned, ~$5B payment-integrity platform.
- FDE type
- True forward-deployed
- Travel
- Medium
- Comp
- Undisclosed
- Stage
- Growth-stage
A good fit if you're…
- Engineers who want a high-stakes, regulated deployment domain (claims adjudication)
- People drawn to payer and healthcare data over generic enterprise SaaS
- Those comfortable working fully remote (US) and embedding with payer teams
- Candidates okay with an undisclosed base, weighing equity in a PE-owned company
What Machinify builds
Machinify runs an AI payment-integrity platform for health insurers -- software that reviews and corrects claims before and after they pay. The company says it is deployed by 85+ health plans (many of the top 20) covering 270M+ lives, which puts it deep inside the US claims-adjudication pipeline. The systems you touch help decide whether a claim pays correctly -- unusually consequential ground for a forward-deployed engineer.
The ownership change you should know about
This is no longer a venture startup. In January 2025 New Mountain Capital acquired Machinify and combined it with The Rawlings Group, Apixio's payment-integrity business and Varis; the combined company kept the Machinify name. Reported scale at the deal: 2,000+ employees, 60+ plan clients including 13 of the top 20 payers, $500M+ revenue, and a valuation around $5B. Founder Prasanna Ganesan moved to EVP and Chief Product Officer.
What 'forward deployed' means here
FDEs sit between the platform and payers' hardest problems -- embedding with customer teams to learn claims and payment workflows, then building, configuring and deploying solutions on Machinify's platform inside those environments. It is real forward-deployed work against production claims data, carrying the regulatory and privacy weight healthcare implies. The posting is digital-first: work from anywhere in the US, with meaningful equity and benefits.
Comp: undisclosed base, equity in a PE-owned company
Machinify does not post a base band on the role. For a mature, PE-owned healthcare platform, expect competitive-but-not-frontier cash with equity whose value tracks New Mountain's hold rather than a VC up-round. The domain premium is in the problem, not the posted number -- candidates should probe leveling, base and the equity structure directly in the loop.
Why the installed base is the leverage
270M+ lives and 85+ plans is an enormous footprint for a company still hiring deployment engineers, which means FDEs here work in expand-and-productionize mode: more of the value is in deepening existing payer deployments than winning net-new logos. That installed base gives an FDE outsized influence over revenue retention -- and a direct line to whether live claims are adjudicated correctly.
Who thrives here
Thrives: engineers who want regulated, high-consequence deployment work and are not put off by PE ownership or an undisclosed base. Bounces: anyone wanting a frontier-AI brand, posted top-of-market comp, or a greenfield startup -- Machinify is a large, embedded, healthcare-specific platform, and the job is making it work inside payers.
Questions candidates ask
Is Machinify still a startup?
No. New Mountain Capital acquired it in early 2025 and merged it with The Rawlings Group, Apixio's payment-integrity unit and Varis into a roughly $5B, 2,000+-employee payment-integrity platform that kept the Machinify name.
Is the FDE role remote?
Yes -- the posting is digital-first, work-from-anywhere in the US. The embedding with payer customers happens through their environments and data rather than full-time on-site.
What will it pay?
The base band is not disclosed on the posting; it mentions meaningful equity and benefits. Expect competitive-but-not-frontier cash for a PE-owned healthcare platform, and ask about leveling and equity directly.
What domain expertise helps?
Comfort with healthcare claims, payer workflows, and the regulatory and privacy weight of production health data. You are deploying software that affects whether claims pay correctly, so the domain matters as much as the stack.
Analysis updated 2026-10-22
Open roles at Machinify
Compare Machinify
Others in the same tier
Free forever. Unsubscribe anytime.