Forward Deployed Engineer

ZingageNew York City, NY
Onsite

About The Position

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. Behind every missed call is a discharge planner who hangs up and dials the next agency. Behind every unfilled shift is an 82-year-old who didn't get her bath. 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. Zingage is the operating layer underneath their intake, scheduling, care coordination, compliance, and patient engagement. The gap we're filling Home care runs on people doing the hardest job in any industry — scheduling, coordinating, covering, 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 didn't study this problem from the outside. We built from inside it. That's why it works.

Requirements

  • Engineering ability. You write real code. You own a build end-to-end — script, integration, debug, ship. Background can be software engineering, solutions engineering, or technical consulting. What matters: you don't need someone else to get it across the line.
  • Data sensitivity. You look at a customer's operational data and ask the right questions. Not what's the number — what does it depend on, and what's the right lever. Common sense applied to messy systems.
  • Product instinct. What you learn in the field makes the platform better for the next ten customers. The FDE who runs a good deployment and files nothing is costing us.
  • Customer presence. You're in the room with agency owners, administrators, and operations leads on every deployment. You earn trust with a frontline scheduler and present technical findings to a C-suite in the same day. You're also in the room during go-live — you notice when a workflow isn't landing with staff, and you adapt before it becomes a problem.
  • 2–5 years in a customer-facing technical role.
  • TypeScript or Python; SQL required.
  • Production proficiency in at least two of TypeScript, Python, SQL required.
  • Comfort building custom integrations beyond standard APIs matters.

Nice To Haves

  • You're joining a function being built in real time — no inherited playbook.

Responsibilities

  • Translate customer workflows into working deployments — and improve them.
  • Sit with coordinators and schedulers. Understand how work actually flows. Then push back on what's broken. Your job isn't to automate the legacy process — it's 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 doesn't, you build around it
  • Investigate customer data to find the right lever — not just what's broken, but what's the highest-leverage thing to fix
  • Build AI workflows that hold up in production. The bar is a workflow running Monday morning 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's a platform gap. Write it up clearly enough that Product can act on it — and follow through until it ships
  • Use AI fluently — in your code, your debugging, your process. You're building AI agents for customers; you should be running them yourself. We'll ask how during the interview
  • Make trade-offs under pressure. Every deployment requires judgment calls between scope, speed, and stability. You make them in the field without waiting for permission

Benefits

  • Competitive base and equity
  • Equipment stipend — use what you need to do your best work
  • Luxury gym membership in NYC
  • Daily lunch. Dinner for the late night work jams.
  • Time off as needed — we care about output, not hours
  • Happy hours, poker nights, and builder events in our Soho office.
  • We're regulars at Manjul Coffee & Toad Hall.
  • Snacks in office - few favorites include Gruns gummies, sardines, protein bars. also, midday froyo runs!
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service