Technical deployment
Forward Deployed Engineer
Build the systems customers run on Monday morning.
Build the infrastructure that keeps grandma home.
Home care runs the way it has for forty years: manually, by humans, on phone calls. Every referral fielded by a coordinator on the other line. Every shift filled by a scheduler with a spreadsheet.
By 2030, 80 million Americans will be over 65. The largest home care agencies in the country are betting they can answer that demand by deploying AI agents across hundreds of branches.
The gap we're filling
Home care runs on people doing the hardest job in any industry: scheduling, coordinating, covering, and fielding calls at 2am without software that was ever built for them.
We've done the job. Our team has worked the shifts, taken the calls, and logged the late nights that schedulers live through every day. We built from inside the problem.
Who we are
Strong opinions. High bar. No interest in doing things the easy way when there's a better one.
Engineering at Ramp and Datadog. Trading infrastructure at Citadel. Product and operations at Reddit, Uber, and CrowdStrike. Early teams at healthcare AI companies Tandem and Tennr. Former founders who've built and sold companies before this one.
How we work
- –Customer first. The patient, the caregiver, the agency. When a decision requires a tradeoff, their experience wins.
- –High velocity. Speed and direction. We move fast because patients are waiting.
- –Extreme ownership. Own the outcome, not just your tasks. Drive the result, escalate when blocked, and accept the accountability.
- –Care. About your craft, your teammates, and the families depending on what you build.
About the role
As a Forward Deployed Engineer at Zingage, you are the technical half of a two-person deployment unit. Every account has one FDE and one Deployment Strategist. The pair is the unit.
The Deployment Strategist owns the relationship: executive communications, rollout strategy, change management, and business outcomes. You own the engineering: agent configuration, EMR integration, scenario builds, and the custom tooling that makes a home care agency run differently on Monday than it did on Friday.
You stay paired to the account for the lifetime of the deal. When they expand to new branches or workflows, you're the engineer who already knows how the agency works.
What you'll do
- –Translate customer workflows into working deployments and improve them. Your job is not to automate the legacy process; it is to figure out the right workflow and build that.
- –Build integrations with home care EMR and scheduling systems. When the API covers it, use it. When it does not, build around it.
- –Investigate customer data to find the right lever, not just what is broken.
- –Build AI workflows that hold up in production when no one from Zingage is in the room.
- –File field briefs that improve the product. When you see the same problem three times, it is a platform gap.
- –Use AI fluently in your code, debugging, and process.
- –Make tradeoffs under pressure between scope, speed, and stability.
What we're looking for
- –Engineering ability. You write real code and own a build end-to-end.
- –Data sensitivity. You can look at operational data and understand what it depends on and what lever matters.
- –Product instinct. What you learn in the field should make the platform better for the next ten customers.
- –Customer presence. You earn trust with a frontline scheduler and present technical findings to a C-suite in the same day.
- –2-5 years in a customer-facing technical role. TypeScript or Python and SQL required.
Tech stack
TypeScript, Python, and SQL. Production proficiency in at least two is required. Comfort building custom integrations beyond standard APIs matters.
Levels
- –Forward Deployed Engineer: 2-5 years. Owns full deployment build with senior engineering available for platform architecture.
- –Senior Forward Deployed Engineer: 5+ years. Owns the most complex enterprise deployments, mentors FDEs, and shapes technical standards.
The process
- –Intro call: 30 minutes focused on customer presence, role clarity, and fit.
- –Live technical screen: two back-to-back exercises using real customer context. No take-home.
- –On-site: present your technical exercise as if presenting findings to a customer's operations lead. Strong candidates receive an offer the same day.
What we offer
- –Competitive base and meaningful equity. If this works, it should work for you.
- –Equipment stipend: whatever setup makes you fast.
- –Luxury gym membership in NYC. We work in health care — yours counts too.
- –Daily lunch, and dinner when work runs past dark — big fan of late-night jams!
- –Time off as needed. We measure output, not hours at a desk.
- –Happy hours, poker nights, and builder events in our Soho office.
- –Snacks in office, including team favorites like Gruns gummies, sardines, protein bars, and midday froyo runs.
Apply
Our promise: real ownership, hard problems, and work that ends up in someone's home. If that's what you're looking for, let's talk.
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