Forward Deployed Engineer

Reposted Yesterday
Hiring Remotely in United States
Remote
Mid level
Machine Learning • Software
We develop software that helps people get the right medical care, at the right time, at the right price.
The Role
The Forward Deployed Engineer will work with customers to identify and solve problems, build solutions using an AI-powered platform, and advocate for product changes based on customer feedback and production outcomes.
Summary Generated by Built In

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/

Skills Required

  • Strong generalist engineering skills across backend, data, and frontend
  • Ability to communicate technical concepts to non-technical users
  • Experience in a role requiring high agency and tolerance for ambiguity
  • Willingness to travel 25-50% of the time
  • Background in data engineering, ML, or distributed systems

Machinify Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Machinify and has not been reviewed or approved by Machinify.

  • Healthcare Strength Health coverage is described as employer-paid for employees with additional support for dependents, alongside dental, vision, mental health, and FSA/HSA options. Listings consistently depict comprehensive medical benefits.
  • Leave & Time Off Breadth Policies include unlimited PTO, paid holidays and sick time, and a weekly no‑meetings day. These elements indicate broad time‑off access alongside flexible scheduling.
  • Parental & Family Support Inclusive paid parental leave is stated at 14 weeks for birth and non‑birth parents. Family benefits are prominently featured across public materials.

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The Company
HQ: Palo Alto, CA
96 Employees
Year Founded: 2016

What We Do

Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.

Why Work With Us

We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!

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