Forward Deployed Engineer

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.

About Zingage

Zingage builds the AI operating platform for enterprise home care. Our customers are national operators — PE-backed, multi-branch, running hundreds of millions in revenue — deploying AI agents to transform how their operations run. We're growing rapidly and expanding our deployment team to match enterprise demand.

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 30-branch home care agency run differently on Monday than it did on Friday. You're co-presenting, co-solving, and jointly accountable. Neither role works without the other.

You are first and foremost an engineer. You're also a translator: between what the customer says they need and what actually needs to be built, between messy operational data and the metric that matters, between a field observation and a product improvement.

Both levels own the full workflow deployment build end-to-end. What differs is the support structure: at the FDE level, senior engineering is available for platform architecture decisions; at the Senior FDE level, you are that resource. Strong performance here is the direct path to FDE Lead as the team scales.

Once a customer reaches steady-state, support transitions to the long-term account team — you move to the next deployment.

What you'll do

• 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

What we're looking for

We evaluate FDEs on four things, in order:

• Engineering ability. You write real code. You can build a script, fix bad data, construct a working integration, and debug something that breaks at a customer site under pressure. Background might be software engineering, solutions engineering, or technical consulting — what matters is that you own a build end-to-end

• Data sensitivity. You look at a customer's operational data and ask the right questions — not just "what's the number" but "what does this actually depend on, and what's the right lever." Common sense applied to messy systems

• Product instinct. You take what you learn in the field and translate it into something that makes the platform better for the next ten customers

• Customer presence. You'll be in the room with CEOs, COOs, and Directors of Operations on every deployment. You earn trust with a frontline scheduler and present technical findings to a C-suite executive in the same day

Also: 2–5 years in a customer-facing technical role — solutions engineering, technical consulting with real deliverables, or implementation work that required you to build things. TypeScript or Python fluency; SQL required. You're joining a function being built in real time — there's no inherited playbook, and part of the job is writing it.

Tech stack

TypeScript, Python, SQL — production proficiency in at least two required. We integrate deeply with systems that don't always cooperate; comfort building custom integrations beyond standard APIs matters.

Levels

The process

• Intro Call — 30 min. First filter: customer presence, role clarity, fit

• Live Technical Screen — Two back-to-back exercises: an integration challenge and a data exercise using real customer context. No take-home — we move fast

• On-site — Present your technical exercise as if presenting findings to a customer's operations lead. Panel debrief follows. Strong candidates receive an offer the same day

Apply

Send a note to hiring@zingage.com for any questions or why you're excited about the role!

Compensation Range: $160K - $200K